Program

IDETC-CIE 2023 > Program > Keynotes & Special Sessions

Keynotes & Special Sessions

Tuesday, August 22; 2:20pm - 4:00pm

Keynote
Jon Hirschtick
Chief Evangelist at PTC
Cofounder of SOLIDWORKS and Onshape

Keynote Title: A Perspective View of AI in Product Development Tools

Abstract: The world is at a clear disruption point with Artificial Intelligence. The advancements of AI in various domains makes us all naturally curious about its potential impact on product development tools. Surprisingly, the current state of AI integration in these tools is relatively limited. Nevertheless, designers should be excited about what lies ahead.

In this keynote, Jon Hirschtick will delve into key considerations that will enable us to effectively prepare for the future of AI in product development tools. He will explore areas where AI might be used in the design process and discuss what AI means for tool builders.

Biography: A technology pioneer and leading entrepreneur in the computer-aided design (CAD) industry, Jon Hirschtick has spent his career building software products that companies use every day to design their hardware products. Founder and former CEO of several successful companies, including Onshape (acquired by PTC) and SOLIDWORKS (acquired by Dassault Systems), Jon is now chief evangelist for PTC’s Onshape, where he helps usher in the next major advancement in product design: the adoption of cloud-based engineering tools. When he is not building businesses, Hirschtick entertains customers and peers with stories from his days in the famed MIT Blackjack team, featured in the movie "21" and the History Channel’s "Breaking Vegas". Hirschtick holds a bachelor's and a master's degrees from MIT, where he majored in mechanical engineering.

Panelist
Ram Sriram
Chief, Software and Systems Division Chief, Software and Systems Division
NIST

Biography: Ram D. Sriram is currently the chief of the Software and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology. Before joining the Software and Systems Division, Sriram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems. Prior to joining NIST, he was on the engineering faculty (1986-1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory. Sriram has co-authored or authored nearly 300 publications, including several books. Sriram was a founding co-editor of the International Journal for AI in Engineering. Sriram received several awards including: an NSF’s Presidential Young Investigator Award (1989); ASME Design Automation Award (2011); ASME CIE Distinguished Service Award (2014); the Washington Academy of Sciences’ Distinguished Career in Engineering Sciences Award (2015); ASME CIE division’s Lifetime Achievement Award (2016); CMU CEE Lt. Col. Christopher Raible Distinguished Public Service Award (2018); IIT Madras Distinguished Alumnus Award (2021). Sriram is a Fellow of AAIA, AIBME, ASME, AAAS, IEEE, IET, INCOSE, SMA, and Washington Academy of Sciences, a Distinguished Member (life) of ACM , a Senior Member (life) AAAI, and an Honorary Member of IISE. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, USA.

Panelist
Lucia Mirabella
Head of Design & Simulation Systems
Siemens Corporation, Corporate Technology

Biography: Dr. Lucia Mirabella leads the Design and Simulation Systems group at Siemens Corporation, Corporate Technology, where she worked since 2014, with research responsibilities. She received her Ph.D. in Mathematical Engineering from Politecnico di Milano, Italy, in 2010 and worked as a researcher at Emory University and Georgia Institute of Technology. Dr. Mirabella’s background includes numerical methods for partial differential equations, computational fluid dynamics in rigid and compliant domains, algorithms for fluid structure interaction, reduced order modeling, multi-scale and multi-physics modeling and high-performance computing. In Siemens, she has been focusing on modeling and simulation of additive manufacturing process and automatic investigation of design options for optimized performance using a combination of physics-based and data-driven approaches, at the component and system level. She has worked as technical lead and contributor on several Government projects funded by agencies like DARPA, MxD, AmericaMakes, NIH, ONR, and DOE. She has also served as Principal Investigator on a DARPA funded project on design and evaluation of complex and adaptive system of systems and as Siemens Principal Investigator of a DMDII funded project on rapid virtual certification of manufacturing processes. In 2019 she was awarded as Siemens Inventor of the Year.

Panelist
Mehran Mestchian
Senior Director of Engineering, Design Automation Products
MathWorks

Biography: Mehran Mestchian is a senior director of engineering in Design Automation group at MathWorks. He is responsible for technologies and products covering Modeling Languages, Test and Verification, and Automatic Code Generation. Mehran has been at MathWorks since 1993 and has contributed to the development of many design automation products. He is the original author of Stateflow. Prior to joining MathWorks, Mehran worked as a real-time systems engineer in the industrial, robotics, automotive, pharmaceutical, and battery management systems markets. He received his M.S. in control systems engineering from Imperial College, University of London, and his B.S.E.E. from Queen Mary College, University of London.

Monday, August 21; 4:10pm to 5:50pm

Presenter
Dr. Radu Serban
The University of Wisconsin-Madison

Presentation Title: Chrono - An Open-source Simulation Framework for Ground Wehicle and Autonomy Research

Abstract: Under active development for over 20 years, Chrono is a multi-physics modeling and simulation tool, distributed open source under a permissive BSD license. The core module of Chrono provides comprehensive support for rigid multibody dynamics, nonlinear finite element analysis, and frictional contact. Chrono is designed in a modular manner, with optional modules providing support for additional classes of physics simulations (e.g., fluid-solid interaction or large-scale granular dynamics), for modeling and simulation of specialized mechanical systems (e.g., ground vehicles), for interfaces to external solvers (e.g., sparse direct linear solvers), or for dedicated parallel algorithms targeting different computing architectures (multicore, distributed, and GPU) for large-scale simulations.

In more recent years, significant research and development was focused on simulation of ground vehicles, vehicle-terrain interaction, and sensor simulation. In addition, a concerted and continued effort aims at providing automatically generated Python wrappers for much of the Chrono functionality; one of the main goals of this development is providing an interface to various machine learning platforms, such as TensorFlow, PyTorch, Theano, CAFFE. The capabilities, performance, and flexibility of the Chrono software infrastructure make it a perfect platform for open research and development in vehicle dynamics, mobility, and autonomy.

In this presentation, we provide an overview of the Chrono software, its design and architecture philosophy, and its features and capabilities. By no means an exhaustive exposition, the talk aims at providing a description of the main Chrono modules with emphasis on capabilities and less on implementation details. We describe the various classes of modeling and simulation problems that can be addressed with Chrono (rigid and flexible multibody dynamics, fluid-structure interaction, granular dynamics, vehicle dynamics, terramechanics, sensor simulation, distributed agent simulation, etc.) separately or in co-simulation with other Chrono modules or with external tools. For more details, consult the project website, the on-line documentation, and the various papers.

Biography: Radu Serban is a Distinguished Scientist in the Department of Mechanical Engineering at the University of Wisconsin-Madison. He received his Ph.D. from the University of Iowa in 1998 under the supervision of Edward J. Haug and his bachelor's degree from the Polytechnic Institute of Bucharest in 1992. Prior to joining UW-Madison, Radu was a postdoctoral researcher at the University of California, Santa Barbara, a computational scientist in the Center for Applied Scientific Computing at LLNL and worked for a start-up in Silicon Valley. His research interests are in computational dynamics, scientific computing, sensitivity analysis for dynamical systems, and mathematical software. As part of the Sundials team, Radu is a recipient of the 2023 SIAM/ACM Prize in Computational Science and Engineering. Currently, Radu is a co-lead of the Simulation-Based Engineering Lab at the University of Wisconsin-Madison and one of the technical leads and architect of the Chrono open-source multi-physics library.

Presenter
Dr. Saeed Barbat
Ford Motor Company

Presentation Title: Digital Human Body Modeling: A Priority to Address Future Vehicle Safety Challenges

Abstract: Current societal trends, vehicle safety landscape and future safety regulatory and technology trends pose significant challenges to the automotive manufactures, policy makers and regulatory agencies. This talk will briefly touch on trends such as demographics (increasing aged populations and vulnerable vehicle occupants), future mobility, future regulations and consumer safety rating programs associated with partially or fully automated modern vehicles. These vehicles, fully autonomous ones, will drive new innovations in vehicle interior cabins and a paradigm shift from today’s conventional seating configurations. The Anthropomorphic Test devices (ATD) and their associated injury metrics used today in current FMVSS safety evaluation and certification may or may not be fully capable in evaluating safety performance of occupants in seating’s, postures, and orientation different than those in conventional seating’s. Regulatory agencies and ATDs manufactures kicked off Biomechanics research and testing with existing ATDs, PMHS, and modified ATDs to better understand the Biomechanical responses. This is aimed at developing new ATDs, modify existing ones and to further investigate current injury criteria’s or develop new ones to help facilitated the introduction of the autonomous vehicles. Human Body Models (HBM), enabled by Finite Element Analysis (FEA), may have the potential to help better understand the biomechanical responses of occupant’s in future autonomous vehicles with and without non-conventional seating configurations. These HBMs may also help evaluate new restraint innovation performance to help reduce the risk of injuries to those occupants. Regional New Car Assessment Programs requirements, specifically the US and Euro NCAPs is becoming much more stringent. They forecasted to potentially include additional body regions and new injury criteria’s in safety performance evaluations in conventional and non-conventional vehicles. HBM’s applications in developing risks curves and help research new injury criteria are deemed necessary to address these forecasts, the increasing aged population with increasing exposures, and exploring new injury criteria’s for vulnerable occupants (elderly, obese, children).

Biography: Since 2011, Dr. Barbat has been The Executive Technical Leader for Safety, Policy and Vehicle Analytical Tools, the topmost safety technical position at Ford globally, overseeing overall vehicle safety in research, advanced product development, strategy, and regulatory, companywide. Dr. Barbat is an internationally recognized safety leader and expert who sustains a record of pioneering contributions to the automotive industry and societal benefits. He has been providing leadership in identifying and executing advanced and research projects aimed at both continuous improvements in “real world” safety. His past 31 years have been with Ford involved in all aspects of automotive safety, e.g. structural crashworthiness, occupant protection, biomechanics, integrated safety, analytical tools, interior sensing, autonomous vehicle safety, and alternative fuel vehicle safety. At Ford, he has held several senior technical and management leadership positions. Dr. Barbat was elected to the National Academy of Engineering (NAE) in February 2020. He received the 2019 Haren Gandhi Innovation Award, the highest technical award given by Ford. Dr. Barbat achieved SAE Fellow Grade in 1992 and ASME Fellow Grade in 1993.

Presenter
Dr. Ole Balling
Aarhus University, Denmark

Presentation Title: Autonomous Vehicle Development in Un-structured Off-Road Environments – Sim2Real MPC Testing

Abstract: This presentation will have two main topics. First a framework for vehicle global planning in unstructured/off-road environments is presented. The planner is based on fundamental vehicle and terrain characterization and testing and validation of their interaction. Second, a scaled autonomous vehicle operated with Model Predictive Control will be presented using indoor tracking on a hard surface. The vehicle characterization and tire characterization as well as the model for the controller will be presented along with results.

Biography: Dr. Balling is a Professor (Docent) at Aarhus University, Denmark, at the Department of Mechanical and Production Engineering. Dr. Balling's areas of research are in vehicle dynamics, terramechanics, multibody systems, vibrations and machine dynamics and the verification and validation thereof. The areas of application are ranging from Digital Twins of Wind Energy Systems, on-road high performance road vehicles, trucks, buses, and motorcycles to off-road agricultural and military wheeled and tracked vehicles. Recently, his focus has been on the necessary resolution modeling and simulation of the vehicle/soil interaction and the verification and validation of the vehicle terrain system for mobility estimation and the usage of this in route planning for manned and unmanned vehicles. The latest work is in the area of autonomous vehicle stack development for off road vehicles. After receiving his PhD from Iowa State University in 2004 under the guidance of Professor James Bernard, Dr. Balling worked 3 years at California based Systems Technology Inc. in the ground vehicle group with responsibilities related to vehicle testing, modeling, and simulation in a variety of vehicle limit performance investigations. In 2007, Dr. Balling joined the Danish based Idé-Pro Engineering and Software Company as a specialist in multibody simulation for customers in wind, aerospace, and the off-road mobile vehicle segment. In 2010, Dr. Balling joined Aarhus University. By approval of the Danish Defense, Dr. Balling served on the NATO Science and Technology Organization’s AVT-CDT-308-2 as a co-chair and is currently a technical team member and the Aarhus University demo team organizer in AVT-341 (Mobility Assessment Methods and Tools for Autonomous Military Ground Systems). He has served as a technical team member and thrust area lead on AVT-248 and AVT-327 and a demo team lead on AVT-308-CDT-1.

Tuesday, August 22; 11:00am - 12:20pm

Dr. Bo N.J. Persson
Peter Grünberg Institute, Forschungszentrum Jülich, and Founder and CEO
MultiscaleConsulting, Jülich, Germany

Keynote Title: Rubber friction, tire dynamics and ABS braking simulations

Abstract: I discuss the origin of rubber friction on hard rough surfaces and present a simple rubber friction law, which can be used, e.g., in models of tire (and vehicle) dynamics. I present a two-dimensional (2D) tire model which combines the rubber friction model with a simple mass-spring description of the tire body. The tire model is very flexible and can be used to calculate μ-slip curves (and the self-aligning torque) for braking and cornering or combined motion (e.g., braking during cornering). I present numerical results which illustrate the theory. Simulations of Anti-Blocking System (ABS) braking are performed using two simple control algorithms.

Rubber friction is a topic of huge practical importance, e.g., for tires, rubber seals, wiper blades, conveyor belts and syringes. In most theoretical studies rubber friction is described using very simple phenomenological models, e.g., the Coulombs friction law with a friction coefficient which may depend on the local sliding velocity.

However, rubber friction depends on the history of the sliding motion (memory effects), which we have found to be crucial for an accurate description of rubber friction. For rubber sliding on a hard rough substrate, the history dependence of the friction is mainly due to frictional heating in the rubber-substrate contact regions. Many experimental observations, such as an apparent dependence of the rubber friction on the normal stress, can be attributed to the influence of frictional heating on the rubber friction.

A large number of papers have been published related to tire dynamics, in particular in the context of Anti-Blocking System braking models. The "heart" in tire dynamics is the road-rubber tire friction. Thus, unless this friction is accurately described, no tire model, independent of how detailed the description of the tire body may be, will provide an accurate picture of tire dynamics. However, most treatments account for the road-tire friction in a very approximate way. Thus, many “advanced” finite element studies for tire dynamics account for the friction only via a static and a kinetic rubber friction coefficients. In other studies the dynamics of the whole tire is described using interpolation formulas, e.g., the “Magic Formula”, but this approach requires a very large set of measured tire properties (which are expensive and time-consuming to obtain), and cannot describe the influence of history (or memory) effects on tire dynamics.

One advantage of the 2D-model over a full 3D-model is that one can easily impose any foot-print pressure distribution one likes (e.g., measured pressure distributions), while in a 3D-model the pressure distribution is fixed by the model itself. This allows a detailed study on how sensitive the tire dynamics depend on the nature of the footprint pressure distribution. The tire model is illustrated by calculating μ-slip curves and with simulations of ABS braking using two different control algorithms.

Biography: B.N.J. Persson is a research scientist at the Research Center Jülich, Germany, and the Founder and CEO of MultiscaleConsulting, a company specialized in consulting with (mainly) tire and medical companies about contact mechanics and rubber friction. He received his PhD degree from Chalmers University, Sweden, on the topic of “Dynamical Processes at Surfaces”, but since the middle of the 1990s, his focus is mainly on tribology problems. Persson has been a visiting scientist for several years at the IBM Research Laboratories in Yorktown Heights and Zürich. He has published more than 500 articles in refereed journals and is the author of Sliding Friction: Physical Principles and Applications, which appeared in the late 1990s, and co-author with Professor A.I. Volokitin of Electromagnetic Fluctuations at the Nanoscale, published in 2017.

During consulting with the Pirelli Tire company, he developed a fundamental contact mechanics theory for rough surfaces. This is the only physically valid analytical approach today for the contact between solids with random roughness on arbitrary many length scales. The theory has been applied to many important problems, including rubber friction and leakage of rubber seals.

Dr. Persson has been presented by many awards, including the Walter-Schottky- Prize of Deutsche Physikalische Gesellschaft, the Adhesion Society Award of Excellence, the Tire Society Lifetime Achievement Award and the Tribology Gold Medal.

Tuesday, August 22; 7:00am - 8:00am

This upgraded hot breakfast will be open to all attendees. Each table will have a theme (e.g. "Work-Life Balance" or "Understanding the Review Process") with a mentor/moderator to help facilitate discussion. There will be rounds of roughly 20min for discussion and attendees are then encouraged to rotate to different table topics. Please join us Tuesday morning to meet colleagues and discuss relevant topics over breakfast.

Topic List

Work-Life Balance
Design for Manufacturing
Hot topics in pedagogical research
Established Program to Stimulate Competitive Research (EPSCoR)
Understanding the Review Process, Role of the Reviewer, Role of the Panel, Post-Panel Process, Common Misunderstandings and Impact of the Review Process
Hot Topics in Mechanical System Dynamics
Hot topics in systems engineering: Digital twin and digital engineering
Broadening Participation in Engineering through DEIA
Mechatronics Digital Twins
Collaboration Establishment Strategies for Junior Faculties
Mid-career transitions between industry and academia, and between academia and industry
Student-Advisor relationship
Post Grad Careers in Industry (What would you use from your education and training? What soft skills could improve your career? What are different career path for mechanical engineers?)
Hot topics and future of Micro and Nanosystems
ChatGPT and other LLMs
Engineering Research Initiation (ERI) and A new NSF program: Manufacturing Systems Integration (MSI)
Design for Sustainability
Working at a Federal Government Military University
Electrification and impact on mechanical engineering workflow
Hot topics on material design
Industry Academia Partnership in Research (NSF GOALI)
Challenges for International Attendees of IDETC-CIE

Tuesday, August 22; 2:20pm - 4:00pm

Presentation Title: Digital Twin for Smart Manufacturing

Speaker Info:
Dr. Wei Chen, Northwestern University
Dr. Yan Lu, NIST
Dr. Satyandra K. Gupta, University of Southern California
Dr. Conrad Tucker, Carnegie Mellon University
Dr. John G. Michopoulos, Naval Research Laboratory

Description: Smart manufacturing enables the amalgamation of interconnected machines and tools to improve manufacturing performance by optimizing the energy, material and required labor by leveraging technologies such as internet of things (IOT), artificial intelligence, and advanced robotics. In the age of the Industry 4.0, Digital Twin (DT) technology has drawn significant attention as a disruptive digital technology that has the great potential to transform the landscape of smart manufacturing. As a virtual replica of a real-world physical system or process (i.e., a physical twin), DT provides a means of simulating, predicting, controlling, and optimizing physical manufacturing systems and processes. It is envisioned that DT-based smart manufacturing will significantly improve the production process in terms of quality, efficiency, productivity, and flexibility. The power of DT comes from the underlying digital models, which could be physics-based models, machine learning models, or their combinations. However, it is still a main research challenge to create accurate and computationally efficient digital models for real-time or near real-time process monitoring, prediction, and control. On the one hand, physics-based models have good generalization ability, but they are not computationally efficient for real-time prediction. On the other hand, machine learning models are computationally efficient for real-time prediction, but they have poor generalization ability. One possible solution could be physics-based machine learning models, where prior physical knowledge and training data (sensor data, simulation data, etc.) can be integrated together.

The panel will discuss challenges and technical approaches in the following topics:

What is DT?
Emerging methods for model building, calibration & validation, adaptive learning & updating for DT
Applications
Gaps and Challenges
Future Insights on DT for Smart Manufacturing

Wednesday, August 23; 8:00am - 9:40am

Presentation Title: Challenges and Opportunities in Computing Research to Enable Next-Generation Engineering Applications

Speakers:
Prof. Janet Allen, University of Oklahoma
Dr. William Bernstein, NIST
Dr. Jitesh Panchal, Purdue University
Dr. Anurag Purwar, Stony Brook University
Dr. Sk Gupta (chair), University of Southern California
Dr. Yan Wang (co-chair), Georgia Institute of Technology

Abstract: Recent advances in computing and information science such as artificial intelligence (AI), machine learning (ML), edge computing, meta-computing, and quantum computing are creating new computing paradigms, which also provide opportunities for new engineering research. For instance, the adoption of Industry 4.0 enabled by AI/ML is fundamentally changing how products are designed, manufactured, maintained, and recycled. It enables considering all aspects of the product life cycle and realizing sustainable designs and helps us in achieving carbon neutrality. Intelligent machines such as robots and autonomous vehicles are revolutionizing human-machine interactions and increasing digitalization in manufacturing and transportation industries. This panel will identify challenges and opportunities in these emerging areas and inspire new researchers to join the field and become a part of the CIE community.

Tuesday, August 22; 11:00am - 12:20pm

Presentation Title: "2VESAccess" – Accessibility, Inclusion and Wellbeing in Virtual Environment

Speakers:
Prof. James Yang, Texas Tech University
Prof. Daniele Regazzoni, University of Bergamo
Prof. Tahira Reid, Pennsylvania State University
Chih-Hsing Chu (chair), National Tsing Hua University
Yunbo Zhang (co-chair), Rochester Institute of Technology
Vinayak Krishnamurthy (co-chair), Texas A&M University

Description: As immersive technologies become more pervasive in or daily lives, the design of virtual experiences needs thoughtful considerations regarding accessibility, inclusion, and wellbeing of users in these spaces. The ever-increasing human consumption of virtual experiences is bound to have profound effects on both the mind and the body. How should we design such experiences to include individuals with physical, mental, and emotional disabilities? Are there ways to leverage the unique capabilities of virtual worlds to augment users’ capabilities and also promote their well-being? What considerations should be given to social aspects of multi-user virtual environments? These questions have far-reaching implications for applications involving virtual space, be they making visual technologies accessible to the vision-impaired, innovations in haptics to facilitate therapeutic experiences and remote healthcare, or social dynamics in multi-user immersive experiences.

Wednesday, August 23; 10:00am - 11:40am

Presentation Title: JCISE Spotlight Talks on Extended Reality in Design and Manufacturing

Speakers:
Dr. Hanzhong Xu, Shanghai Jiao Tong University
Prof. Chu, Chih-Hsing, National Tsing Hua University
Ipsita, Ananya, Purdue University

Monday, August 21; 4:10pm - 5:50pm

Knowledge Transfer (KT) in Education, Academia and Industry: Forward Thinking to Preserve Engineering Leadership

Panel Moderator: Prof. Robert Wendrich, Rawshaping Technology

Panelists:
Prof. Giorgio Colombo, Politecnico Milano
Dr. Marc Halpern, Gartner
Prof. Scarlett Rae Miller, Penn State
Dr. Mike Molnar, OAM-NIST
Prof. Janis Terpenny, NSF/George Mason University

Engineering in the western world faces a generational crisis of losing knowledgeable and experienced engineers to retirement or career change. Their decades of collective knowledge and experience leaves with them. Therefore, knowledge transfer (KT) becomes a critical priority to maintain engineering leadership and continue to advance.

KT is a practical method for transitioning knowledge identifying and harnessing people's adaptable skills, build capacity and hone abilities to apply information. KT is not limited to the science and technology disciplines, it encompasses a much broader range of activities. As such, six types of KT can be identified: people; publication/events; collaborative research; consultancy; licensing; and new businesses1. KT helps to translate knowledge into words, visuals, and processes that can be shared. KT improves innovation, stimulate collaboration, accelerate communication and foster insight and understanding.

Steps in the knowledge transfer process in a knowledge transfer-enabling environment. Source: O'Dell, and grayson (1998)

People, for example, graduate students that join the workforce, instill new knowledge and effectively revitalize diversity and variety in exchanging knowledge within industry. KT through publication of research outcome is realized through networking and events. Collaboration and cooperation are key drivers to create innovative knowledge exchange opportunities. Consultancy allows for domain-specific expertise, advisory and training to, for instance, external businesses that spur KT whilst provide a platform for the exchange of both explicit and more tacit knowledge, and a window on areas of possible collaboration. Intellectual property (IP) licensing (e.g., patentable ideas) are key KT opportunities to foster relationships, access expertise and collaboration. New business possibilities emerge from bringing research outputs to market, esspecially when a potential ‘creative destruction’ could happen to a current market or domain.

On Monday, August 21, 2023, the following panelists will provide their expertise: Dr. Mike Molnar, the founding director of the Office of Advanced Manufacturing (OAM) at the National Institute of Standards and Technology (NIST). Prof. Janis Terpenny currently chairs the intelligent manufacturing technology group for ASME and she is working as a program director at NSF as a rotator, on loan from George Mason University. Prof. Giorgio Colombo, is a professor in Methods and Tools for Product Design at Politecnico Milano, Italy, will provide expertise and experiences from the product development cycle. Prof. Scarlett Miller’s (Penn State University) research has three main thrusts: ergonomic product design, design cognition and human-computer interaction. She is also director of the Center for Research in Design and Innovation. Dr. Marc Halpern, Research Vice President from Gartner, Inc.’s Advanced Manufacturing Practice will provide evidence from surveys and experience working with clients to provide perspective on the depth and breadth of the KT priority. Prof. Robert Wendrich from Rawshaping Technology RBSO based in the Netherlands, will be chair and moderator during the Industry Panel.

This Industry Panel will address challenges and approaches to KT. A live question and answer session will be featured so that the audience can engage with these industry leaders.

Monday, August 21; 10:50am - 12:10pm

Dr. Mike Molnar
NIST

Presentation Title: Advancing U.S. Manufacturing-Opportunities for Innovation, Collaboration and Competitiveness

Abstract: Abstract: Substantive improvements in the health, robustness and innovative capacity of the U.S. manufacturing sector have an unrivaled ability to boost the nation’s global economic competitiveness. The Manufacturing USA® program, in conjunction with the Manufacturing Extension Partnership program, is helping to lead the way. Across a range of sectors – biomanufacturing, microelectronics, digital controls and automation, clean energy manufacturing, and advanced materials – Manufacturing USA institutes are bringing together researchers from industry, universities, and national labs to create and transition innovative technologies into scalable, cost-effective, and high-performing production capabilities while preparing the technology-ready workforce needed to win in the global arena. During this presentation, updates will be shared about significant developments, new program initiatives, including opportunities for innovation, collaboration, and competitiveness.

The Office of Advanced Manufacturing (OAM) serves as the headquarters for the interagency Advanced Manufacturing National Program Office to coordinate Manufacturing USA, a network of manufacturing innovation institutes across the country that brings together industry, academia, and the public sector to advance American manufacturing.

Biography: Mike Molnar is the founding director of the Advanced Manufacturing National Program Office, the interagency team responsible for the Manufacturing USA program. Mike also leads the NIST Office of Advanced Manufacturing and serves as co-chair of the National Science and Technology Council, Subcommittee on Advanced Manufacturing – the team responsible for the National Strategic Plan for Advanced Manufacturing.

Prior to joining federal service in 2011 Mike had a successful industry career, including 25 years leading manufacturing and technology development at Cummins, a U.S. based global company that designs, manufactures, and distributes engines and power generation products. Midcareer he served as the first Manufacturing Policy Fellow in the White House Office of Science and Technology Policy. He earned a Bachelor’s in Mechanical Engineering and Master’s in Manufacturing Systems Engineering from the University of Wisconsin, and an Executive MBA from the University of Notre Dame. He is a licensed Professional Engineer, Certified Manufacturing Engineer, and was elected a Fellow of SME and a Fellow and Honorary Member of ASME.

Monday, August 21; 6:00pm - 7:00pm

This poster reception and networking session will include select graduate students, each the recipient of an award stipend, showcasing their excellent works.

Tuesday, August 22; 2:20pm - 4:00pm

Title: Design for Safe and Reliable Autonomous Systems

Moderator: Dr. Zhimin Xi (Rutgers, The State University of New Jersey, US)

Description: Autonomous systems in engineering, especially in manufacturing systems automation, are becoming increasingly popular. As more and more autonomous systems are expected to enter our daily lives in the future, such as autonomous vehicles and personalized additive manufactured products, safety, quality, and performance reliability are major concerns.

Common properties of autonomous systems, particularly those involving human interactions, include complex operation conditions, endless corner cases, and a high degree of machine learning or AI model employment. Each of these properties makes system design challenging, creating significant uncertainties in addition to the design complexity.

While machine learning or AI models have been extensively used in autonomous vehicles for perception and navigation system design, many research problems remain unsolved. For example, how reliable are these AI models in real operating conditions, and how can the system be designed to ensure reliable operation even when the AI model is incorrect? Similarly, how can accurate machine learning or AI models be built for additive manufacturing machines with unknown process uncertainty, and how can these models be used to design better parts or products with guaranteed quality and lifetime reliability for personalized products? These questions are related not only to the theoretical foundation of various AI models but also to their applications in autonomous vehicles and additive manufacturing.

This panel includes top experts from AI modeling, autonomous vehicles, and additive manufacturing from both industry and academia. We are excited to have you join us for an engaging and thought-provoking discussion.

Dr. Zhimin Xi
Rutgers, The State University of New Jersey, US
Moderator

Dr. Qi Hommes
Senior Director
ZooX
Panelist

Mr. Chris Robinson
Senior Product Manager
Ansys
Panelist

Dr. Heng Huang
Professor
Univ. of Maryland, College Park
Panelist

Dr. Rajiv Malhotra
Associate Professor
Rutgers University, New Brunswick
Panelist

Biographies

Dr. Zhimin Xi is an Associate Professor in the Department of Industrial and Systems Engineering at Rutgers University – New Brunswick. He received his B.S. and M.S. degrees in Mechanical Engineering from the University of Science and Technology Beijing in 2001 and 2004, respectively, and obtained his Ph.D. in Mechanical Engineering (Program of Reliability Engineering) from the University of Maryland – College Park in 2010. Dr. Xi's research interests include design for reliability and the application of reliable autonomous vehicles/robots, lithium-ion batteries, and additive manufacturing. He is the recipient of 2021 ASME – Design Automation Young Investigator Award, 2019 Rutgers A. Walter Tyson Assistant Professorship Award, and 2016 DARPA - Young Faculty Award. He currently serves as an Associate Editor for IEEE Robotics and Automation Letters and for the ASME – Journal of Mechanical Design.

Qi Hommes is the Senior Director of System Design and Mission Assurance (SDMA) at Zoox and a member of Zoox’s Executive Team. SDMA's mission is to construct the Safety Case and validate that Zoox vehicles are safe enough to be deployed for autonomous driving. Zoox's Safety Case incorporates the principles of Systems Engineering, risk-informed decision making, and relevant industry/government safety standards. Through the definition and execution of the Safety Case strategy, Qi and her team enable engineering and operations to rapidly iterate and safely expand Zoox's performance and capabilities. Qi's career spans across private industry, government, and academia. She worked in various engineering roles at Ford and GM. She was a Principal Investigator for the US Department of Transportation. She was also a Research Scientist at MIT where she taught six years of Systems Engineering. Prior to joining Zoox, Qi was the Head of System Safety with Waymo where she played a key role in Waymo's decision to remove drivers from their autonomous vehicles. Qi received her BS degree in Mechanical Engineering from University of Kentucky, and MS and PhD degrees in Mechanical Engineering from MIT.

Chris Robinson is an Ansys Additive Manufacturing and Metal Forming Senior Product Manager at Ansys. He started his career of AM research when designing satellite components in 2004. He has been in a manufacturing research environment for 18 years at Sandia National Laboratories, Utah State University, NAVAIR, Boeing, 3DSIM and Ansys. Chris has led many R&D product development projects ranging from fundamental research (TRL 1) to production readiness for commercial application (TRL 9). He has worked on material, process, application, and software development efforts utilizing, metal, polymer, and direct-write processes. He has experience in managing projects ranging from semi-autonomous vehicles, to UAVs, to components for commercial aircraft. His current focus is to help the Additive Manufacturing and Metal Forming industries make a positive difference in the lives of individuals and the environment, by guiding software solutions that help them address their real day to day product development problems through process simulation.

Dr. Heng Huang is John A. Jurenko Endowed Professor in Electrical and Computer Engineering at University of Pittsburgh, and also Professor in Biomedical Informatics at University of Pittsburgh Medical Center. Dr. Huang received the PhD degree in Computer Science at Dartmouth College. His research areas include machine learning, artificial intelligence, and biomedical data science. Dr. Huang has published more than 280 papers in top-tier conferences and many papers in premium journals, such as ICML, NeurIPS, KDD, IJCAI, AAAI, ICCV, CVPR, Nature Machine Intelligence, Journal of Machine Learning Research, IEEE TPAMI, etc. As PI, Dr. Huang currently is leading NIH R01s, U01, and multiple NSF funded projects on machine learning, data science, AIoT, smart healthcare, and cyber physical system. He is a Fellow of AIBME and served as the Program Chair of ACM SIGKDD Conference 2020. He will be the inaugural Brendan Iribe Endowed Professor in Computer Science at the University of Maryland College Park.

Dr. Rajiv Malhotra got his PhD in Mechanical Engineering from Northwestern University and joined Rutgers University in 2017. His research interests lie in the science-driven innovation and control of additive manufacturing processes across multiple length scales and application sectors. He is an associate editor for SME Manufacturing Letters and SME Journal of Manufacturing Processes, a guest-editor for ASME and SME journals, chair of the Micro-Nanomanufacturing track chair in the ASME Manufacturing Science and Engineering Conference, and a scientific committee member in the North American Manufacturing Research Conference. His research and service efforts were recognized by the SME Young Manufacturing Engineer Award and the SME Associate Editor of the Year Award.

Tuesday, August 22; 2:20pm - 4:00pm

Dr. Gul E. Kremer
Dean, College of Engineering
University of Dayton

Keynote Title: Remanufacturing Challenges: Engineering, Attitude and More

Abstract: Remanufacturing supports sustainability goals by restoring used products in terms of quality and functionality. Attitudes towards buying remanufactured products and using remanufactured parts in manufacturing are varied across industries, inherently impacting business models. However, the increasing adoption of ESG principles has renewed the positive energy behind remanufacturing.

With support from the REMADE Institute and in collaboration with industrial companies (Danfoss, John Deere, Volvo, and more) and academic partners, Dr. Kremer led several applied projects in remanufacturing. In this talk, she will present the significant engineering and non-engineering challenges she has experienced and observed across these sponsored projects.

Biography: Gül E. Kremer, a distinguished researcher, teacher and skilled university administrator, has been named the new dean for the University of Dayton School of Engineering, starting Aug. 1, 2022. Kremer, previously the Wilkinson Professor in Interdisciplinary Engineering in the Iowa State University Department of Industrial and Manufacturing Systems Engineering and senior director of presidential projects in the Office of the President, brings an extensive track record in collaborative sponsored research, engineering program development, advancing diversity and inclusion, and fundraising. She earned a doctorate in engineering management from the Missouri University of Science and Technology (formerly University of Missouri-Rolla); master's and bachelor's degrees in industrial engineering from Yildiz Technical University in Istanbul, Turkey, and a master’s in business, specializing in production management, from Istanbul University. Her research accomplishments focus on applied decision sciences and operations research for product and design systems, and other research interests include sustainability, system complexity, design creativity, and engineering education.

Tuesday, August 22; 4:20pm - 6:00pm

This poster reception and networking session will include submissions from DTM Junior Ph.D. student posters, Broadening Participating (Bpart), NSF/ASME Student Design Essay Competition and Mechanisms and Robotics Track.

Monday, August 21; 8:00am - 9:00am

Professor Primo Zingaretti
Università Politecnica delle Marche
Italy

Presentation Title: VRAI: a Journey on Artificial Intelligence Techniques for Mechatronics and Embedded Systems, from Vision Robotics to Virtual Reality

Abstract: VRAI is the name/acronym of the Vision, Robotics and Artificial Intelligence Laboratory at the Department of Information Engineering (DII) of the Università Politecnica delle Marche. Founded about 20 years ago, its researchers have experienced all the rapid advances made by technology in autonomous, intelligent, mechatronics and embedded systems. This keynote, after briefly delineating the path followed, will present, based on several application cases, the integration of Artificial Intelligence techniques within Cyber Physical Systems, shedding light on its profound implications for autonomous decision-making capabilities. We will analyze how AI, combined with sensors and IoT, enables systems to learn, adapt, and respond, thereby pushing the boundaries of automation and control in mechatronic systems. Lastly, we will introduce and elaborate on the concept of Digital Twins and their transformative role in the field. By providing real-time, dynamic replicas of physical systems, Digital Twins allow us to foresee and optimize system performance, leading to unprecedented levels of efficiency and adaptability, aso in term of Human Interaction on immersive XR environment.

Biography: Primo Zingaretti is a Full Professor of Computer Engineering at the Department of Information Engineering (DII) at the Università Politecnica delle Marche, where he currently teaches "Computer Graphics and Multimedia", "Information Processing Systems" and "Information Technology for Cultural Heritage".

His research activity has involved several aspects, both theoretical and applicative, being Artificial Intelligent Systems (Artificial Intelligence), in particular, systems interacting with the surrounding environment mainly through visual sensors (Computer Vision), the unifying research direction. Regarding the theoretical aspects, the research has been oriented to the study of two main problems: - definition and development of techniques and efficient data structures for the representation and processing of images (Pattern Recognition, Image Processing and Understanding); - definition and development of frameworks for machine vision, graphics and multimedia systems that incorporate machine learning capabilities (Decision Support Systems, Machine Learning and Deep Learning).

The main application areas involved have been: i) Robotic Vision, for the self-location and autonomous navigation of mobile robots (Mobile Robotics) of land (Unmanned Ground Vehicle - UGV), water (Unmanned Undersea Vehicle - UUV) or air (Unmanned Aerial Vehicle - UAV) and scene monitoring; ii) Mechatronic systems, embedded systems and, in particular, Cyber Physical Systems in industry 4.0, exploiting different technologies/sensors for data acquisition (e.g., RGB-D, beacon BLE, IoT), different Real-Time Locating Systems for the localization of objects/persons (e.g., RFID, UWB) and Human Behaviour Analysis, in particular, for customer profiling in retail and home automation systems for Ambient Assisted Living; iii) Geomatic applications, for the automatic classification of heterogeneous data in the production of themes (GIS-ready automatic cartography) and in the monitoring of environments/products, in particular in Precision Farming, from the automatic interpretation of remote sensing data from satellite and/or UAV equipped with innovative image acquisition systems, both multi-spectral and hyper-spectral, as well as ground acquired; iv) Extended Reality (XR), including Augmented Reality (AR) and Virtual Reality (VR), systems in the fields of cultural heritage, tourism, industry 4.0 and medicine.

Great attention has been directed to the technological transfer of research results. In particular, he was a founding partner of two university spin-offs and a specific interest was devoted to industrial applications and factory automation, being scientific and/or technical responsible for many national and international research projects, funded by private companies or by public bodies.

He has been one of the Promotors (and still a member of the Conference Board) of the European Conference on Mobile Robots – ECMR, the Program Chair of ECMR 2003, Radziejowice/Warsaw, Poland and the General Chair of ECMR 2005, Ancona, Italy, General Chair of IEEE/ASME Mechatronic and Embedded Systems and Applications - MESA'11, Washington DC, USA and IEEE/ASME MESA'14, Senigallia, Italy as well as the Program Chair of IEEE/ASME MESA'10, Qingdao, China. He has been Director of the first (PSFMR'05) and second (PSFMR'06) International School on Perception and Sensor Fusion in Mobile Robotics, held with the support of the EURON - European Robotics Research Network of Excellence, for doctoral or post-doctoral students, Chair of the Technical Committe MESA "Mechatronic and Embedded System Applications" of the ASME Design Engineering Division (DED) 2010-2011, and Founder and Director of the Laboratory of Vision, Robotics and Artificial Intelligence (VRAI) at the Department of Information Engineering (DII) of the Università Politecnica delle Marche, which is currently composed of some 30 researchers (faculty, PhD and PhD students) engaged in numerous European, national and regional collaborations and research projects.

He has been Guest Editor of special issues and author or co‐author of more than 200 scientific papers in journals, book chapters or conference proceedings. He is Senior Member of IEEE, member of ASME, promoter of AIxIA, Vice President of CVPL.

Tuesday, August 22; 8:10am - 9:10am

Professor Chris Pretty
University of Canterbury
New Zealand

Description: Healthcare costs are increasingly unaffordable in New Zealand and internationally, and are only going to get worse over the next 20-50 years with the ageing population. To avoid rationing and increased inequity in healthcare, we need to be more efficient and effective at delivering health services.

Mechatronics engineering can enable efficient and effective healthcare systems through lower cost technology, better use of models and data for improved diagnosis, monitoring, and therapy. Right now, we are at an amazing technological confluence of high performance, low-cost processing, connectivity, and components, all in a small physical size, coupled with rapid, accurate, low-cost digital manufacturing systems. We can now solve problems in a way that could not have even been imagined 20-years ago. But, to achieve these goals, we need to enable interoperability, data sovereignty, and new business models.

This talk explores some of the challenges and potential solutions to improving efficiency, efficacy, and equity of healthcare using mechatronics engineering, with some examples from my own research experience.

Biography: Professor Chris Pretty is currently a co-director of the Mechatronics Engineering program in the Department of Mechanical Engineering at the University of Canterbury, New Zealand.

His primary field of research is the application of engineering to solve problems in medicine, principally in critical care and rehabilitative robotics. Specifically, his research involves the modelling, sensing, control, and actuation of dynamic physiological systems, and this forms the common thread between diverse areas of application.

Prof. Pretty's research has particular emphasis on using physiological models to synthesise and "add value" to new or existing sensor data to enable improved care for patients through improved monitoring, diagnosis, and control, as well as reduced cost and effort for clinicians.

Prof. Pretty completed a PhD in Bioengineering in 2012 at the University of Canterbury, NZ. Following his PhD, he moved to Belgium as a postdoctoral researcher at the University of Liege in the GIGA Cardiovascular Sciences research group. He is a past chair of the ASME/IEEE Mechatronics and Embedded Systems and Applications Technical Committee.

Tuesday, August 22; 8:10am - 9:10am

Ashwin A. Seshia
Professor of Microsystems Technology
Cambridge University

Presentation Title: Mode-localized Sensing in MEMS Based on Coupled Resonator Arrays

Biography: Ashwin A. Seshia is Professor of Microsystems Technology in the Department of Engineering at Cambridge University and a Fellow of Queens’ College, Cambridge. He received his B.Tech. degree in Engineering Physics from IIT Bombay in 1996, and the MS and PhD degrees in Electrical Engineering and Computer Science from the University of California, Berkeley in 1999 and 2002 respectively. Ashwin’s research interests include microelectromechanical systems (MEMS) design, particularly in relation to sensors and sensor systems. Ashwin received the 2018 IEEE Sensors Technical Achievement Award (Advanced Career - Sensor Systems) "for pioneering contributions to resonant microsystems with application to sub-surface density contrast imaging and energy harvesting systems". He is a member of the executive committee of the European Frequency and Time Forum and the IEEE MEMS International Steering Committee. He has served on the editorial boards of the Journal of Micromechanics and Microengineering (2015-2016), the IEEE Transactions on Nanotechnology (2015-2017), the IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control (2011-2021) and the IEEE Journal of Microelectromechanical Systems (2009-2023). Ashwin is a Fellow of the Institute of Physics (IOP), a Fellow of the Institution for Engineering and Technology (IET) and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

Monday, August 21; 9:10am - 10:30am

Professor Jian S. Dai
Fellow of the Royal Academy of Engineering (FREng), a Member of Academia Europaea (MAE), FIEEE, FASME, FIMechE, FRSA
Director of Institute of Robotics, Southern University of Science and Technology
Honorary Chair Professor of King's College London

Description: Picking an artefact as a starting point, equipping it with mechanisms, and associating it with mathematics, this engenders a new and broad spectrum of robotics applications. In all its manifestations, the philosophy of reconfiguration evolves in parallel to biological life and to the inherent metamorphosis presence in biological organisms, leading to the generation of evolutionary mechanisms.

This talk associates the evolution of human beings over millions of years, and the four industrial revolutions, to the structural evolution of mechanisms and robots through the years, placing a particular emphasis on the structural metamorphosis and polymorphism of a robot.

In virtue of the properties of polymorphism and branch variation, the whole spectrum of resulting mechanical design possibilities leads to the creation of various robotic mechanisms for rough terrain locomotion, healthcare, and production, evolving into public services, thereby generating a wide scope for reconfigurable mechanisms. This structural evolution necessitates the advanced mathematics pertaining to Screw algebra and Lie algebra. This transfers the robot structural design process into six-dimensional space, and involves both Euler-Rodrigues and dual Euler-Rodrigues formulations in various mathematical forms, achieving a fine harmony between mathematics, the arts, and structures. With these integrated mathematical tools, all evolutionary structures could be interrelated and interchanged in a beautiful geometry that correlates geometric evolution with the diversification of robotic structures. The talk will in a whole process involve a showcase of the divers applications that can be realised by enduing robots with evolutionary mechanisms.

Biography: Professor Dai is a Fellow of the Royal Academy of Engineering (FREng). He is an IEEE Fellow, ASME Fellow, IMechE Fellow and RSA Fellow. He is an Editor-in-Chief of the long-standing international journal Robotica and a Subject Editor of Mechanism and Machine Theory.

A pioneering figure in reconfigurable mechanisms and robots, origami robots, ankle rehabilitation robots, and metamorphic robots, he was the 27th recipient of the 2015 ASME DED Mechanisms and Robotics Award since its inception in 1974, and the 58th recipient of the 2020 ASME Machine Design Award since its inception in 1958, in addition to receiving other awards including the 2010 King's College London Overall Supervisory Excellence Award.

Published over 650 peer-reviewed papers, and 8 authored books, Prof Dai has graduated over 50 PhD students who are currently either faculty members of world-leading universities, affiliated with prestigious corporations, or successful entrepreneurs.

Tuesday, August 22; 9:20am - 10:40am

Damiano Pasini
Tier 1 Canada Research Chair in Mechanical Metamaterials
Full Professor of Mechanical Engineering
McGill University

Presentation Title: Loadbearing Multistable Origami Metamaterials

Abstract: Origami patterns are a source of inspiration for the design of reconfigurable materials that find applications across disciplines from deployable solar panels to reconfigurable robots. Most existing origami concepts are floppy along the direction of deployment hence unable to offer structural resistance along their folding path. In this talk, I will present a foldable class of origami-inspired metamaterials that can lock into several states that are load bearing across multiple directions, including the direction of deployment. The basic concept meshes notions of origami and kirigami to enable reconfiguration into several flat-foldable and spatially-lockable folding paths due to face contact. I will illustrate that locking under compression yields topology and symmetry changes that impart multidirectional stiffness, and offer opportunities for in-situ modulation of their mechanical properties. I will finally elaborate on the highly mulistable responses they can deliver during repeated cycles of opening and closure, and demonstrate how their remarkably rich energy landscape can be harnessed to program and boost energy absorption.

Biography: Damiano Pasini is Tier 1 Canada Research Chair in Mechanical Metamaterials and full professor of Mechanical Engineering at McGill University. His research interests lie in the broad areas of mechanics of multiscale materials, multiphysics, and structural optimization, expertise that he systematically integrates to understand, predict and optimize the intriguing properties of kirigami, origami and other architected materials made of stiff and soft solids. While his curiosity is primarily driven by the fundamental principles underpinning their behavior and functionality, he also strives to promote them for the development of advanced technology in a diverse range of sectors, from soft robotics, packaging, to aerospace and orthopaedics.

Wednesday, August 23; 10:00am - 11:40am

Panelist
Davood Farhadi
Assistant Professor at TU Delft

Presentation Title: Harnessing Kinematic Singularity to Generate New Modes of Functionality

Abstract: A mechanism, when encountering kinematic singularity configurations, can become ill-conditioned and challenging to control. In mechanism and robotic science, these configurations are traditionally either avoided or dealt with through the implementation of complex control strategies to mitigate their associated risks. This talk commences with a discussion on the utilization of elastic potential energy to circumvent kinematic singularity issues prevalent in motion transmission mechanisms. Subsequently, I will highlight new categories of flexible mechanisms which harness singularity to generate new modes of functionality analogous to those exhibited by classical gears.

Biography: Davood Farhadi is Assistant Professor of Flexible Mechanisms and Architected Materials at the Delft University of Technology. Davood received his Ph.D. from the Delft University of Technology in 2018 on Compliant Transmission Mechanisms. He was awarded the Rubicon fellowship from the Dutch research Council in 2019. Currently, next to his faculty position, he is executing his Rubicon fellowship at Harvard John A. Paulson School of Engineering and Applied Sciences.

Panelist
Sree Kalyan Patiballa
Assistant Professor
University of Alabama

Title: Design of Intelligent Material and Robotic Systems

Abstract: From industry to households, we envision the proliferation of future intelligent systems composed of smart, active, and engineered matter that autonomously and safely adapts its shape and structure to meet task demands. To realize this vision, one must exploit the rich intersection of structures, materials, robotics, and intelligence—traditionally considered separate disciplines. In my work, I integrate these diverse fields by establishing design and manufacturing methods based on computational mechanics and design theory to create soft machines and mechanical metamaterials. In this talk, I will present the design of two intelligent systems — a bio-inspired amphibious robot and a deformable metamaterial. I will start by introducing 'adaptive morphogenesis,' a novel design paradigm for the amphibious robot combining stimulus-responsive soft materials and traditional robotic components. Then, I will present a two-step design strategy for deformable metamaterials with prescribed deformations. Finally, I will discuss my goal of uniting mechanical metamaterials with soft robotics to build context-sensitive robotic systems to disrupt manufacturing, autonomous environmental inspection, and medical and assistive devices.

Biography: Sree Kalyan Patiballa is an Assistant Professor in the Mechanical Engineering department at The University of Alabama and leads the Smart Materials and Robotic Technologies (SMART) lab. Prior to joining UA, he was a postdoctoral associate in the Mechanical Engineering and Material Science department at Yale University. His research broadly investigates the nexus of design, manufacturing, and integration of mechanical metamaterials and soft robotics to develop intelligent material and robotic systems. He earned his Ph.D. (2020) and M.S. (2015) from the University of Illinois at Urbana-Champaign and his B.Tech. (2013) from Amrita Vishwa Vidyapeetham University in India. He received the Collaborative Arts Research Initiative (CARI) Faculty Fellowship in 2022, the Mavis Future Faculty Fellowship in 2018, and the Freudenstein/General Motors Young Investigator Award from the American Society of Mechanical Engineers (ASME) in 2017.

Panelist
Vu Linh Nguyen
Assistant Professor
VinUniversity

Title: Gravity Compensation for Robots and Mechanisms

Abstract: The gravity compensation of robots and mechanisms has been an attractive research theme in recent decades. Gravity compensation aims to lessen the effect of gravity on the robot caused by the masses of its links and payload. A perfect gravity compensation can completely eliminate the gravitational torques at the robot joints, allowing the robot to maintain itself at any configuration with zero input torques from the actuators. While an approximate gravity compensation only decreases the gravitational torques, it is necessary to use a small effort to keep the robot stationary at a configuration. For low-speed robotic manipulation, gravity compensation becomes more beneficial for the robot because the gravitational torques contribute the most to its actuation torques. Along with reducing the actuation torques, the gravity compensation of robots can provide other benefits, such as reducing energy consumption, the sizes of the actuators, the structural compliance of the robot, and improving safety and dynamic response. This talk will cover recent advances in gravity compensation for robots and mechanisms, focusing on design concepts and their applications.

Biography: Dr. Nguyen Vu Linh is an Assistant Professor in Mechanical Engineering, College of Engineering and Computer Science, VinUniversity. Before joining VinUniversity in February 2023, he was an Assistant Professor in the Department of Mechanical Engineering at the National Chin-Yi University of Technology (NCUT) in Taiwan from February 2021 to January 2023. Dr. Nguyen received his Ph.D. Degree in Mechanical Engineering from the National Taiwan University of Science and Technology (Taiwan Tech) in 2020, and then worked as a Postdoctoral fellow co-affiliated with the National Science and Technology Council (NSTC) in Taiwan until January 2021.

Dr. Nguyen's main research interests fall into the design of mechanical and robotic systems for energy savings, mechanism and machine theory with focus on design, modeling, control and development of intelligent means, reconfigurable mechanisms, compliant robots and flexible lightweight wearable devices, human-robot co-existing means with safe physical interactions and collaborations. His research is applied to the development of industrial robots, surgical robots, assistive devices, robotic grippers, vibration isolators, and renewable energy harvesting systems. He has published over 34 international journal and conference papers on those topics. Dr. Nguyen’s academic works and research outcomes have been recognized through several awards, such as NCUT Excellent Research Performance Award in 2022, Outstanding Doctoral Thesis Award from the Chinese Society of Mechanism and Machine Theory in 2020, Best Conference Paper Award of the National Conference on Mechanism and Machine Design in Taiwan in 2020, NSTC Postdoctoral Fellowship Award in 2020, Finalist of Best Student Paper Award of IFToMM Symposium on Robot Design, Dynamics and Control in Japan in 2020, Outstanding Teaching Assistant Award from Taiwan Tech in 2018, and NSTC Travel Grant for Graduate Students to Attend International Conferences in 2018.

Dr. Nguyen serves as an Associate Editor for the International Journal of Advanced Robotic Systems since 2023 and a member of the American Society of Mechanical Engineers (ASME) since 2018. He is also a reviewer for several top-tier international journals, such as Mechanism and Machine Theory, ASME Journal of Mechanisms and Robotics, ASME Journal of Mechanical Design, IEEE Transaction on Mechatronics, IEEE Access, and IEEE Robotics & Automation Letters.

Panelist
Andrew Sabelhaus
Assistant Professor
Boston University

Title: Controlling Soft Robots: Safety, Robustness, and Scalability

Abstract: Merging the embodied intelligence of soft robots with artificial intelligence faces many conceptual questions, including the roles for each approach as part of a combined framework. However, current attempts at autonomy for soft robots have been focused mostly on positioning of soft bodies in space, illustrating limitations on real-time computation and knowledge of the robot’s environment. Are we asking the right questions, and working toward the most fruitful control goals? In this talk, I will introduce my work on control systems that do not prioritize perfect tracking of trajectories in the motion of soft robots, but instead show robustness, scalability, and verifiable safety. This includes embracing model mismatch and designing controllers that anticipate the simplifications commonly made in dynamics of soft robots. Real-time operation could be addressed by reconceiving control problems as planning problems. And most importantly, focusing on safety verification and invariance may lead to control systems that match our intuitive goals for bringing soft robots out into the world. These three perspectives will be demonstrated in both manipulation and locomotion of soft robots powered by shape memory alloy artificial muscles.

Biography: Andrew Sabelhaus is an Assistant Professor in the Department of Mechanical Engineering and Division of Systems Engineering at Boston University. He received his Ph.D. in Mechanical Engineering at the University of California, Berkeley in 2019, and was an Intelligence Community Postdoctoral Research Fellow at Carnegie Mellon University from 2019-2021. He received an M.S. from Berkeley in 2015, and a B.S. from the University of Maryland in 2012, both also in Mechanical Engineering. At Berkeley, he was a NASA Space Technology Research Fellow with NASA Ames Research Center’s Intelligent Systems Division from 2015-2019, and an NSF Graduate Research Fellow from 2012-2015. Prof. Sabelhaus leads the Soft Robotics Control (SRC) Lab at BU, which builds artificial intelligence into soft and flexible robots.

Monday, August 21; 8:00am - 9:00am

Arvind Raman
John A. Edwardson Dean of Engineering and the Robert V. Adams Professor of Mechanical Engineering at Purdue University

Keynote Title: Recent advances in Nonlinear Dynamics in AFM

Abstract: Understanding and exploiting the nonlinear dynamics of resonant microcantilevers in the Atomic Force Microscope (AFM) has been fundamental to the advancement of the AFM. This has enabled the microscope to operate more stably, with better resolution, and has enabled the microscope to sensitively measure contrasts in material properties at the nanoscale. In the first part of this talk, I will review some key past results on nonlinear dynamics in the Atomic Force Microscope (AFM) in both air and liquid environments when the AFM is resonantly driven at one excitation frequency.

Next, I will discuss some recent results on the nonlinear dynamics in Intermodulation Atomic Force Microscopy. Intermodulation Atomic Force Microscopy (ImAFM) is a multi-frequency Atomic Force Microscopy (AFM) technique of increasing interest which can simultaneously map the nanoscale compositional contrast of samples and reconstruct quantitatively the nonlinear interaction force between the AFM probe tip and sample surface through measurement of intermodulation products (IMPs). The interaction nonlinearity and resonant excitation of the AFM microcantilever at two closely spaced frequencies create conditions for little-studied yet rich nonlinear dynamical phenomena that could be used to improve the technique. Through theory and experiments we show that this important multi-frequency AFM method also features the possibility of bi-stability, bifurcations, and co-existence of solutions. By controlling the difference frequency one can in fact control access to two different regimes of operation, one dominated by attractive forces and another by repulsive forces, each with a different spectrum of intermodulation products.

Biography: Arvind Raman's research focuses on exploiting nonlinear dynamics for innovations in diverse interdisciplinary areas such as nanotechnology, biomechanics and appropriate technologies for sustainable development. His work on the Atomic Force Microscope (AFM) has helped the scientific and industrial community recognize and exploit nonlinear effects to better and more rapidly image and measure properties of complex materials at the nanoscale. Via the cyberinfrastructure of nanohub the AFM simulation tools developed by Raman’s group have been used by thousands of researchers worldwide. He is the co-founder of the Shah Family Global Innovation Lab in the College of Engineering that supports technology development and translation of technologies for sustainable development and the PI of the $70M USAID funded LASER PULSE center that convenes and catalyzes a global network of universities, government agencies, non- governmental organizations, and the private sector for research-driven practical solutions to critical development challenges in Low- and Middle- Income Countries.

Raman is an ASME fellow, an ASME Gustus Larson Memorial Award recipient, Keeley fellow (Oxford), College of Engineering outstanding young investigator awardee, and a NSF CAREER awardee. Professor Raman joined Purdue University in 2000 as an Assistant Professor following a PhD in Mechanical Engineering from the University of California at Berkeley advised by Prof. C.D Mote Jr. (1999), MS in Mechanical Engineering from Purdue University (1993), and a B. Tech in Mechanical Engineering from the Indian Institute of Technology, Delhi (1991).

Wednesday, August 23; 8:00am - 9:40am

Aki Mikkola
Professor of Mechanical Engineering
LUT School of Energy Systems Lappeenranta

Presentation Title: Sustainable Product Processes based on the Multibody Simulation

Abstract:
Key Words: Multibody System Dynamics, Product Life-Cycle, State observers, Gamification

Traditionally, multibody system dynamics has been used as a tool to expedite and enhance the quality product development processes. In this study, the use of multibody system dynamics is extended beyond the product development phase to cover the entire product lifetime. The study highlights how multibody system dynamics can enhance understanding product usage and offer a better understanding of the customers and production as well as boosting service-based businesses.

The introduced extension of multibody system dynamics is significant because traditional material-based business processes, i.e. product manufacturing, are being supplemented by models based on data and knowledge processing. These new business models seem to complement traditional economic theories such as the concept of diminishing returns. Therefore, multibody system dynamics plays a critical role in building businesses related to data and knowledge processing.

The study provides several examples, such as the use of multibody system dynamics in gamification as part of the product development process [1]. Additionally, it demonstrates how multibody system dynamics-based models can be integrated with real machines using a concept called reality-driven simulation [2]. In this concept, the multibody system model is actuated via sensor signals coming from the operating machine. The presentation also covers how artificial intelligence can control multibody system models [3] and how data required for artificial intelligence can be generated by models based on multibody system dynamics [4]. Finally, the study highlights the biomechanical applications of multibody system dynamics and how it can help to better understand human behavior as part of the assembly line. In conclusion, the presentation emphasizes that the use of multibody system dynamics can be extended to various product processes and that it represents an indispensable tool for future product processes.

References
[1] Jaiswal, S., Iftekharul Islam, M., Lea Hannola, Sopanen, J., Mikkola, A., Gamification Procedure based on Real-time Multibody Simulation, the International Review on Modelling and Simulations (IREMOS), 2018, 11(5), pp. 259-266.
[2] Jaiswal, S., Sanjurjo, E., Cuadrado, J., Sopanen, J., Mikkola, A., State Estimator Based on an Indirect Kalman Filter for a Hydraulically Actuated Multibody System, Multibody System Dynamics, 2022, 54(4), pp. 373-398.
[3] Kurinov, I., Orzechowski, G., Hämäläinen, P., and Mikkola, A. Automated Excavator Based on Reinforcement Learning and Multibody System Dynamics, IEEE Access, 2020, 8, pp. 213998-214006.
[4] Choi, H.-S., An, J., Han, S., Kim, J.-G., Jung, J.-Y., Choi, J., Orzechowski, G., Mikkola, A., and Choi, J.-H., Data-Driven Simulation for General-Purpose Multibody Dynamics Using Deep Neural Networks, Multibody System Dynamics, 2021, 51(4), pp. 419-454.

Biography: Aki Mikkola received a Ph.D. in the field of machine design in 1997. Since 2002, he has been working as a Professor in the Department of Mechanical Engineering at LUT University, Lappeenranta, Finland. Currently, Mikkola leads the research team of the Laboratory of Machine Design. He has been awarded five patents, has contributed to more than 150 peer-reviewed journal papers and has presented more than 100 conference articles. His major research activities are related to flexible multibody dynamics, rotating structures, and biomechanics. Mikkola is currently Editor-in-Chief of the Journal of Multibody System Dynamics (Springer).

Tuesday, August 22; 8:10am - 9:10am

Gábor Stépán
Professor of Applied Mechanics,
Member of the Hungarian Academy of Sciences and the Academy of Europe

Biography: Gabor Stepan is a Professor of Applied Mechanics at Budapest University of Technology and Economics, former dean of the Faculty of Mechanical Engineering. He is a member of the Hungarian Academy of Sciences and the Academy of Europe, fellow of CIRP (International Academy for Production Engineering). He is an ERC Advanced Grant holder, the recipient of the Thomas K. Caughey Dynamics Award of ASME and the Delay Systems Lifetime Achievements Award of IFAC (International Federation of Automatic Control). His works deal with nonlinear vibrations and time-delay systems with applications in vibrations of robots, human and robotic balancing, rehabilitation robotics, machine tool vibrations, rolling and traffic dynamics, hardware-in-the-loop experiments. He was elected as a fellow of the Society for Industrial and Applied Mathematics in 2017, "for contributions to the theory and analysis of delayed dynamical systems and their applications".

Keynote Title: From the Delayed Mathieu Equation to the Stability of High-Speed Milling Processes

Abstract: The essential mathematical model of parametric excitation appeared first in a paper of Mathieu in 1868. It took more than 60 years to construct the corresponding stability chart in the parameter plane of the system stiffness and the amplitude of the parametric excitation by Strutt and van der Pol. The governing equations of the delayed oscillator showed up first in the papers of Minorsky and von Schlippe related to ship stabilization and rolling wheel stability problems, respectively, in 1942. The corresponding stability charts in the parameter plane of the system stiffness and feedback gain appeared first correctly in 1966 only by Hsu and Bhatt in the ASME Journal of Applied Mechanics. Since 1960, when the mathematical model of machine tool vibrations appeared in the works of Tobias, it has been clear that the milling processes are governed by delay differential equations subjected to parametric excitation, but another 40 years were needed to construct the exact 3D stability chart in the space of the system stiffness, feedback gain and excitation amplitude in the ASME Journal of Dynamic Systems, Measurement, and Control in 2003.

The need for the stability chart of the delayed Mathieu equation has been induced by the continuous development of the high-performance milling technology in the 1990s, where the parametric excitation in the delayed oscillatory system is not negligible. The lecture will summarize the route to the intricate stability lobe diagrams, their experimental validation, and the actual results and challenges in the hardware-in-the-loop based emulation of high-speed milling processes.

Monday, August 21; 2:10pm - 3:50pm

Description: This session will provide an overview of key topics in extreme design, as well as guidance on research drivers and needs of interest to NSF and NASA programs

Kathryn W. Jablokow, Ph.D.
Program Director, Engineering Design & Systems Engineering
National Science Foundation

Biography: Dr. Kathryn Jablokow is a Professor of Engineering Design and Mechanical Engineering at Penn State University and currently serves the National Science Foundation in the Civil, Mechanical and Manufacturing Innovation Division as Program Director for the Engineering Design and Systems Engineering program. Dr. Jablokow is widely recognized for her expertise in cognitive diversity and its impact in engineering education and practice, including manufacturing education and student design experiences. Dr. Jablokow has received many major teaching and research awards, including the W. M. Keck Foundation Teaching Excellence Award and the ASME Ruth and Joel Spira Outstanding Design Educator Award. Dr. Jablokow is a Fellow of ASME, a Senior Member of IEEE, and a Member of ASEE, Sigma Xi, and the Design Society. She earned her BS, MS, and PhD degrees in electrical engineering from The Ohio State University in 1983, 1985, and 1989, respectively.

Anna-Maria R. McGowan, Ph.D.
NASA Senior Executive for Complex Systems Design

Biography: Dr. Anna-Maria Rivas McGowan is the Agency Senior Executive for Complex Systems Design at NASA. She serves as a Senior Technical Advisor to the Agency focusing on research, design, development, and operations of complex systems including human, organizational, societal, and engineering challenges. Her work incorporates quantitative and qualitative methods to integrate fields external to aerospace with engineering approaches to improve aerospace system performance, innovation, and broader societal impacts. Dr. McGowan has over 30 years of experience and has served as a NASA Senior Project Manager, DARPA Agent, NSF Visiting Scientist, NATO Consultant, International Short Course Instructor, Flight Test Leader, Wind-Tunnel Test Engineer, and Researcher in engineering and organization science. Dr. McGowan has a B.S. in Aero/Astro Engineering from Purdue University, M.S. in Aerospace Engineering/Engineering Mechanics from Old Dominion University, and Ph.D. in Design Science from the University of Michigan.

Monday, August 21; 4:10pm - 5:50pm

Description: In this workshop, the fundamentals of grant proposal writing for the National Science Foundation (NSF) will be covered. Participants will learn about key topics, including the components of a successful proposal and finding the right home for the research. Critical aspects of the merit review process will be presented. This workshop is geared towards early career and aspiring investigators at U.S. institutions seeking to understand the NSF merit review process, although the information provided will be valuable to principal investigators in any stage of their career seeking to learn more about proposal writing.

Kathryn W. Jablokow, Ph.D.
Program Director, Engineering Design & Systems Engineering
National Science Foundation

Pinhas Ben-Tzvi, Ph.D., P.E.
Program Director
Established Program to Stimulate Competitive Research (EPSCoR)
Office of the Director (OD) I Office of Integrative Activities (OIA)

Biography: Dr. Pinhas Ben-Tzvi is a Program Director in OIA’s Established Program to Stimulate Competitive Research (EPSCoR) Section on an IPA assignment from Virginia Tech where he is a Professor of Mechanical Engineering and Electrical and Computer Engineering. He received his B.S. degree (Summa Cum Laude) in Mechanical Engineering from the Technion – Israel Institute of Technology and his M.S. and Ph.D. degrees from the University of Toronto. His expertise and interests span the areas of cyber-physical systems, artificial intelligence, machine learning, robotics and intelligent autonomous systems, healthcare technologies, human-machine interactions, multi-robot systems, systems dynamics and control, mechatronics design, and novel sensing and actuation. His research program was supported by a wide variety of government agencies, and he has authored and co-authored more than 180 peer- reviewed journal articles and refereed papers in conference proceedings and is the named inventor on twelve U.S. patents and patent applications. He is the recipient of several teaching, research and professional service excellence awards, and served on various journal and conference editorial boards as editor and associate editor. As an avid researcher and educator, he spearheaded various curricular infrastructure development and improvement initiatives and engaged in a multitude of outreach activities. Dr. Ben-Tzvi is a Fellow of ASME and a senior member of IEEE.

Janis Terpenny
Program Director, Manufacturing Systems Integration (MSI)
National Science Foundation (NSF)

Biography: Janis Terpenny is Program Director of the Manufacturing Systems Integration (MSI) program at the National Science Foundation (NSF). She is also a professor with joint appointments in Systems Engineering & Operations Research and Mechanical Engineering at George Mason University. Her research focuses on smart integrated systems and processes for design and manufacturing, and on engineering education. Previously, she served as professor of Industrial and Systems Engineering and Dean of Engineering at the University of Tennessee, department head of Industrial and Manufacturing Engineering at Penn State, department chair of Industrial and Manufacturing Systems Engineering at Iowa State, technology thrust lead for the Digital Manufacturing and Design Innovation Institute (DMDII, now MxD), director of the NSF Center for e-Design, program director at NSF in the Division of Undergraduate Education, and professor at Virginia Tech and the University of Massachusetts. She has industry work experience with the General Electric Company including a 2-year rotational management program. She is fellow and member of ASME and IISE, and member of AAAS, Alpha Pi Mu, ASEE, INFORMS, SME, and Tau Beta Pi. She is area editor for the Engineering Economist, associate editor for Computers in Industry, Chair of the ASME Intelligent Manufacturing Technology Group (IMTG), Senior Vice President for Academics on the IISE Board of Trustees, and on the Board of Governors for ASME.

Dr. Harry Dankowicz
Program Director, Dynamics, Control & Systems Diagnostics (DCSD) and BRITE
National Science Foundation (NSF)

Biography: Harry Dankowicz is Program Director in the Dynamics, Control and Systems Diagnostics (DCSD) program at the National Science Foundation (NSF). He is also Professor of Mechanical Science and Engineering at the University of Illinois Urbana-Champaign with 28+ years of experience in higher education in research, teaching, mentorship, and program administration, including as Associate Dean for Graduate, Professional and Online Programs in the Grainger College of Engineering. He is a developer of research software for engineering analysis of dynamic systems, inventor of engineering solutions for surgical correction of spinal deformity and agricultural yield mapping, and author of 90 archival journal publications and several textbooks. He is a fellow of the ASME and recipient of the Fred Merryfield Design Award and Archie Higdon Distinguished Educator Award from the ASEE. Between 2012 and 2022, he served as Editor-in-Chief of ASME Applied Mechanics Reviews. He is committed to broadening participation in STEM and making the opportunities to contribute as well as benefit widely accessible. He earned his M.Sc. in Engineering Physics from KTH Royal Institute of Technology in 1991 and Ph.D. in Theoretical and Applied Mechanics from Cornell University in 1995.

Daniel A. McAdams
NSF Program Director, Convergent Activities, CMMI/ENG

Biography: Dr. McAdams is currently serving as the Program Director for Convergent Activities at the National Science Foundation (NSF) within the Engineering Directorate (ENG) and Division of Civil, Mechanical, and Manufacturing Innovation (CMMI). In his program director role, he supports multi-disciplinary and cross cutting research accross CMMI, ENG, and all of NSF. He is serving in a rotational capacity from his permanent position as a professor in the Department of Mechanical Engineering at Texas A&M University. Dr. McAdams's research interests are in the area of design theory and methodology with specific focus on functional modeling; innovation in concept synthesis; biologically inspired design methods; inclusive design; and technology evolution as applied to product design.

Wednesday, August 23; 8:00am - 9:40am

Description: In this session, NSF Program Directors will discuss a range of funding opportunities of interest to the design research community, including the ERI, BRITE, GOALI, and CAREER solicitations, as well as the new BioDesign DCL. Best practices for unsolicited proposals submitted to the EDSE program will also be discussed. The session will also cover Robotics funding opportunities through NSF’s Foundational Research in Robotics (FRR) flagship robotics program, and NSF’s EPSCoR program major funding investment strategies to achieve its goal of improving the R&D competitiveness of researchers and institutions within EPSCoR jurisdictions. Opportunities from the new TIP Directorate will be covered, and ample time for Q&A will be provided.

Kathryn W. Jablokow, Ph.D.
Program Director, Engineering Design & Systems Engineering
National Science Foundation

Pinhas Ben-Tzvi, Ph.D., P.E.
Program Director
Established Program to Stimulate Competitive Research (EPSCoR)
Office of the Director (OD) I Office of Integrative Activities (OIA)

Daniel A. McAdams
NSF Program Director, Convergent Activities, CMMI/ENG

Biography: Dr. McAdams is currently serving as the Program Director for Convergent Activities at the National Science Foundation (NSF) within the Engineering Directorate (ENG) and Division of Civil, Mechanical, and Manufacturing Innovation (CMMI). In his program director role, he supports multi-disciplinary and cross cutting research accross CMMI, ENG, and all of NSF. He is serving in a rotational capacity from his permanent position as a professor in the Department of Mechanical Engineering at Texas A&M University. Dr. McAdams’s research interests are in the area of design theory and methodology with specific focus on functional modeling; innovation in concept synthesis; biologically inspired design methods; inclusive design; and technology evolution as applied to product design.

Dr. Harry Dankowicz
Program Director, Dynamics, Control & Systems Diagnostics (DCSD) and BRITE
National Science Foundation (NSF)

Monday, August 21; 6:00pm - 7:00pm & Wednesday, August 23; 10:00am - 11:40am

Description: These sessions will provide a forum for in-person, open discussions with NSF Program Directors. Attendees will have the chance to ask questions pertaining to NSF funding opportunities, discuss their proposal ideas in relevant subjects, ask questions about the NSF merit review process, and even ask questions and solicit advice about navigating their career paths in academia.

Tuesday, August 22; 11:00am - 12:20pm

Steven W. Shaw
Department of Mechanical and Civil Engineering
Florida Institute of Technology

Keynote Title: Centrifugal Pendulum Vibration Absorbers – from Den Hartog to Now

Abstract: Centrifugal pendulum absorbers consist of movable masses attached to a rotating shaft, designed to reduce engine-order torsional vibrations. They have been in wide use in light aircraft engines since WWII, and the past decade has seen their extensive application in automotive powertrain components, where they are used to improve fuel economy and passenger comfort. The first fundamental analysis of their linear tuning was developed by Meissner (1930), and Den Hartog (1938) first described the detrimental effects of nonlinearity. Newland (1964) suggested a means of tuning that avoids the worst of these effects when using circular path pendulums, but at the cost of diminished efficacy. Madden (1980) suggested an approach for nonlinear tuning using cycloidal path absorbers, and this was refined by Denman (1992), offering further improvements using tautochronic epicycloidal paths. Since then, theoretical and experimental studies have solidified our understanding of these systems and provided approaches for tuning that optimize their performance. In this presentation I will review this history and discuss three recent developments that have added to our practical understanding of these devices: (i) the dynamics of absorbers immersed in fluid, such as those used in torque converters, (ii) the effects of gravity, which come into play at low engine speeds and disrupt the desired uniform pattern of response, and (iii) the use of absorbers that rotate relative to the host rotor, allowing for increased vibration correction for a given amount of absorber mass. Absorber tuning strategies that account for these effects will be presented. Finally, difficulties associated with implementing these absorbers for other applications, such as the gear systems used in electric vehicles, will also be briefly discussed.

Bio: Steven W. Shaw is Professor of Mechanical Engineering at Florida Institute of Technology and Adjunct Professor of Physics and Astronomy and University Distinguished Professor Emeritus of Mechanical Engineering at Michigan State University. He received an AB in Physics (1978) and an MSE in Applied Mechanics (1979) from the University of Michigan and a PhD in Theoretical and Applied Mechanics (1983) from Cornell University. His current research interests include vibration absorbers and micro/nano-scale resonators, with an emphasis on nonlinear and noisy behavior and applications to timekeeping, sensing, and torsional vibrations. He has held visiting appointments at Cornell University, the University of Michigan, Caltech, the University of Minnesota, the University of California-Santa Barbara, and McGill University. Steve is a Fellow of ASME (1995) and recipient of the Henry Ford Customer Satisfaction Award (1986), the ASME Henry Hess Award (1986), the SAE Arch T. Colwell Merit Award (1997), the ASME N. O. Myklestad Award (2013), the ASME T. K. Caughey Dynamics Award (2019), and the ASME J. P. Den Hartog Award (2023).

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Wednesday, August 23; 10:00am - 11:40am

Kathryn Matlack
Assistant Professor
Mechanical Science and Engineering
The Grainger College of Engineering

Keynote Title: Manipulating Vibrations with Phononic Materials

Abstract: One grand challenge for materials and structures design is to satisfy multiple conflicting requirements. For example, energy infrastructure, especially those in remote and extreme environments such as offshore wind turbines and nuclear reactors, requires components to operate effectively over long time periods and avoid catastrophic failures. Structural materials in aviation must be lightweight but high in strength, stiff while dampening out harmful vibrations, survive damaging impact events, and interact with complex flows in non-detrimental ways. On smaller length scales, acoustic and ultrasonic sensors require specific frequency and dissipative responses, and need to detect wavelengths that are much smaller than their physical size. This talk focuses on a common theme to these critical engineering problems: understanding how mechanical waves interact with engineered materials across different length and time scales. In particular, the field of "phononic materials" studies how engineering micro- and meso-scale features in materials and structures can prescribe the frequency and spatial properties of acoustic waves. Features such as spatial periodicity of the material or geometry, resonant inclusions, and nonlinearities can lead to wave propagation and modal properties not found in natural materials. New wave propagation phenomena have been discovered in these material platforms, which has been a direct result of an interdisciplinary research approach, integrating additive manufacturing, acoustics, mechanics, materials science, and design. This presentation will discuss our group's recent research in phononic materials, focusing on effects of tunable materials and nonlinearity on wave propagation in phononic materials, using reduced order models, finite element simulations, and experiments. Results demonstrate wave propagation features such as tunable band gaps, energy transfer between modes, non-reciprocal wave propagation, and wave-controlled precision actuation.

Biography: Kathryn (Katie) Matlack is an Associate Professor of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign, where she leads the Wave Propagation and Metamaterials laboratory. Prior, she received her Bachelor's degree in mechanical engineering from MIT, her PhD from Georgia Tech, and was an ETH Postdoctoral Fellow at ETH Zurich. Her research group studies how mechanical waves propagate in complex materials over several length scales, and then uses this knowledge to realize new and multi-functional materials, structures, and devices. She is a recipient of Young Investigator Awards from both the Air Force Office of Scientific Research and the Army Research Office, the NSF CAREER award, as well as the UIUC Dean’s Award for Excellence in Research. She currently serves as Associate Editor for the Journal of Nondestructive Evaluation and Wave Motion.

Monday, August 21; 10:50am - 12:10pm

Bogdan I. Epureanu
Arthur F. Thurnau Professor
Professor of Mechanical Engineering, and Professor of Electrical Engineering and Computer Science
Director, Automotive Research Center
University of Michigan, Ann Arbor

Keynote Title: Physics-Informed Data-Driven Methods for Reduced Order Modeling in Dynamics

Abstract: Over the past decades, significant advancements in simulation tools, experimental capabilities, and digitization have led to the creation of digital twins to model the dynamics of complex multi-physical systems. Applications include model development and dynamic prediction for design, testing, monitoring, and forecasting based on real-time measurements, among others. High-fidelity models based on physical first principles have been developed in various areas and can provide excellent prediction accuracy. However, attempts to integrate these detailed models to realize full-scale digital twins of complex systems have been only partially successful because of the large computational cost of such models. An early approach to reduce this cost has been the development of reduced order models, which were initially phenomenologically created and later mathematically derived. Such models provide increased computational speed, but are typically hard to generalize and even harder to calibrate with experimental data. Most recently, data-driven methods based on neural networks are novel techniques to create reduced order models that can be easily adjusted to capture experimental data. These methods provide robust reduced order models while removing assumptions traditionally used for computational physics-based techniques, such as the need for modal analyses or projection schemes. Thus, such data-driven models are increasingly adopted as the backbone of digital twins because they can easily incorporate both computational surrogate data and experimental data directly, improving model applicability and adaptability to as-manufactured systems subject to operational loading conditions. In this talk, data-driven methods for reduced order modeling of structural dynamics will be discussed, and examples of response predictions and forecasting in aerospace applications will be presented. This includes methods based on physics-informed machine learning frameworks directly incorporating known physical laws from a component-level viewpoint, as well as model-free approaches using intrinsic system dynamics to forecast instabilities resulting from bifurcations while only using data prior to reaching unstable regimes.

Biography: Bogdan I. Epureanu is an Arthur F. Thurnau Professor in the Department of Mechanical Engineering at the University of Michigan and has a courtesy appointment in Electrical Engineering and Computer Science. He received his Ph.D. from Duke University in 1999.

He is the Director of the Automotive Research Center, which leads the way in areas of autonomy of ground systems, including vehicle dynamics, control, and autonomous behavior, human-autonomy teaming, high performance structures and materials, intelligent power systems, and fleet operations and vehicle system of systems integration.

His research focuses on nonlinear dynamics of complex systems, such as teaming of autonomous vehicles, enhanced aircraft safety and performance, early detection of neurodegenerative diseases, and forecasting tipping points in engineered and physical systems such as disease epidemics and ecology. His research brings together interdisciplinary teams and consortia such as Government (NIH, NSF, DOE, DOD), Industry (Ford, Pratt & Whitney, GE, Airbus), and Academia. He has published over 350 articles in journals, conferences, and books.

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Keynotes & Special Sessions

Special Industry Panel: Design and Innovation in the Age of Artificial Intelligence

Keynote Jon Hirschtick Chief Evangelist at PTC Cofounder of SOLIDWORKS and Onshape

Panelist Ram Sriram Chief, Software and Systems Division Chief, Software and Systems Division NIST

Panelist Lucia Mirabella Head of Design & Simulation Systems Siemens Corporation, Corporate Technology

Panelist Mehran Mestchian Senior Director of Engineering, Design Automation Products MathWorks

AVT Panel on Autonomous and Connected Vehicles

Presenter Dr. Radu Serban The University of Wisconsin-Madison

Presenter Dr. Saeed Barbat Ford Motor Company

Presenter Dr. Ole Balling Aarhus University, Denmark

AVT Vehicle Design Committee W. Milliken Lecture

Dr. Bo N.J. Persson Peter Grünberg Institute, Forschungszentrum Jülich, and Founder and CEO MultiscaleConsulting, Jülich, Germany

Breakfast Event with Round-Table Discussions

Topic List

CIE AMS-SEIKEM-CAPPD Panel

CIE JCISE Panel

CIE VES Panel

CIE VES JCISE Panel

CIE Industrial Panel

CIE Keynote

Dr. Mike Molnar NIST

CIE Poster Reception

DAC Signature Event

Biographies

DFMLC Keynote

Dr. Gul E. Kremer Dean, College of Engineering University of Dayton

IDETC-CIE Poster Session

MESA Keynotes

Professor Primo Zingaretti Università Politecnica delle Marche Italy

Professor Chris Pretty University of Canterbury New Zealand

MNS Keynote

Ashwin A. Seshia Professor of Microsystems Technology Cambridge University

MR Keynote: The 47th ASME Mechanisms and Robotics Conference, Keynote Speech

Professor Jian S. Dai Fellow of the Royal Academy of Engineering (FREng), a Member of Academia Europaea (MAE), FIEEE, FASME, FIMechE, FRSA Director of Institute of Robotics, Southern University of Science and Technology Honorary Chair Professor of King's College London

MR Keynote: MR-4 Origami Symposium Keynote Speech

Damiano Pasini Tier 1 Canada Research Chair in Mechanical Metamaterials Full Professor of Mechanical Engineering McGill University

MR SEC-SESS: Special Early Career Session

Panelist Davood Farhadi Assistant Professor at TU Delft

Panelist Sree Kalyan Patiballa Assistant Professor University of Alabama

Panelist Vu Linh Nguyen Assistant Professor VinUniversity

Panelist Andrew Sabelhaus Assistant Professor Boston University

MSNDC Keynotes

Arvind Raman John A. Edwardson Dean of Engineering and the Robert V. Adams Professor of Mechanical Engineering at Purdue University

Aki Mikkola Professor of Mechanical Engineering LUT School of Energy Systems Lappeenranta

MSNDC Lyapunov Award Keynote

Gábor Stépán Professor of Applied Mechanics, Member of the Hungarian Academy of Sciences and the Academy of Europe

NSF-NASA: Extreme Design – Drivers and Needs

Kathryn W. Jablokow, Ph.D. Program Director, Engineering Design & Systems Engineering National Science Foundation

Anna-Maria R. McGowan, Ph.D. NASA Senior Executive for Complex Systems Design

NSF Proposal Writing Workshop

Kathryn W. Jablokow, Ph.D. Program Director, Engineering Design & Systems Engineering National Science Foundation

Pinhas Ben-Tzvi, Ph.D., P.E. Program Director Established Program to Stimulate Competitive Research (EPSCoR) Office of the Director (OD) I Office of Integrative Activities (OIA)

Janis Terpenny Program Director, Manufacturing Systems Integration (MSI) National Science Foundation (NSF)

Dr. Harry Dankowicz Program Director, Dynamics, Control & Systems Diagnostics (DCSD) and BRITE National Science Foundation (NSF)

Daniel A. McAdams NSF Program Director, Convergent Activities, CMMI/ENG

NSF Design Funding Opportunities

Kathryn W. Jablokow, Ph.D. Program Director, Engineering Design & Systems Engineering National Science Foundation

Pinhas Ben-Tzvi, Ph.D., P.E. Program Director Established Program to Stimulate Competitive Research (EPSCoR) Office of the Director (OD) I Office of Integrative Activities (OIA)

Daniel A. McAdams NSF Program Director, Convergent Activities, CMMI/ENG

Dr. Harry Dankowicz Program Director, Dynamics, Control & Systems Diagnostics (DCSD) and BRITE National Science Foundation (NSF)

NSF Office Hours

VIB J.P. Den Hartog Award Keynote

Steven W. Shaw Department of Mechanical and Civil Engineering Florida Institute of Technology

VIB Mote Award Keynote

Kathryn Matlack Assistant Professor Mechanical Science and Engineering The Grainger College of Engineering

VIB N.O. Myklestad Award Keynote

Bogdan I. Epureanu Arthur F. Thurnau Professor Professor of Mechanical Engineering, and Professor of Electrical Engineering and Computer Science Director, Automotive Research Center University of Michigan, Ann Arbor

Keynote
Jon Hirschtick
Chief Evangelist at PTC
Cofounder of SOLIDWORKS and Onshape

Panelist
Ram Sriram
Chief, Software and Systems Division Chief, Software and Systems Division
NIST

Panelist
Lucia Mirabella
Head of Design & Simulation Systems
Siemens Corporation, Corporate Technology

Panelist
Mehran Mestchian
Senior Director of Engineering, Design Automation Products
MathWorks

Presenter
Dr. Radu Serban
The University of Wisconsin-Madison

Presenter
Dr. Saeed Barbat
Ford Motor Company

Presenter
Dr. Ole Balling
Aarhus University, Denmark

Dr. Bo N.J. Persson
Peter Grünberg Institute, Forschungszentrum Jülich, and Founder and CEO
MultiscaleConsulting, Jülich, Germany

Dr. Mike Molnar
NIST

Dr. Gul E. Kremer
Dean, College of Engineering
University of Dayton

Professor Primo Zingaretti
Università Politecnica delle Marche
Italy

Professor Chris Pretty
University of Canterbury
New Zealand

Ashwin A. Seshia
Professor of Microsystems Technology
Cambridge University

Professor Jian S. Dai
Fellow of the Royal Academy of Engineering (FREng), a Member of Academia Europaea (MAE), FIEEE, FASME, FIMechE, FRSA
Director of Institute of Robotics, Southern University of Science and Technology
Honorary Chair Professor of King's College London

Damiano Pasini
Tier 1 Canada Research Chair in Mechanical Metamaterials
Full Professor of Mechanical Engineering
McGill University

Panelist
Davood Farhadi
Assistant Professor at TU Delft

Panelist
Sree Kalyan Patiballa
Assistant Professor
University of Alabama

Panelist
Vu Linh Nguyen
Assistant Professor
VinUniversity

Panelist
Andrew Sabelhaus
Assistant Professor
Boston University

Arvind Raman
John A. Edwardson Dean of Engineering and the Robert V. Adams Professor of Mechanical Engineering at Purdue University

Aki Mikkola
Professor of Mechanical Engineering
LUT School of Energy Systems Lappeenranta

Gábor Stépán
Professor of Applied Mechanics,
Member of the Hungarian Academy of Sciences and the Academy of Europe

Kathryn W. Jablokow, Ph.D.
Program Director, Engineering Design & Systems Engineering
National Science Foundation

Anna-Maria R. McGowan, Ph.D.
NASA Senior Executive for Complex Systems Design

Kathryn W. Jablokow, Ph.D.
Program Director, Engineering Design & Systems Engineering
National Science Foundation

Pinhas Ben-Tzvi, Ph.D., P.E.
Program Director
Established Program to Stimulate Competitive Research (EPSCoR)
Office of the Director (OD) I Office of Integrative Activities (OIA)

Janis Terpenny
Program Director, Manufacturing Systems Integration (MSI)
National Science Foundation (NSF)

Dr. Harry Dankowicz
Program Director, Dynamics, Control & Systems Diagnostics (DCSD) and BRITE
National Science Foundation (NSF)

Daniel A. McAdams
NSF Program Director, Convergent Activities, CMMI/ENG

Kathryn W. Jablokow, Ph.D.
Program Director, Engineering Design & Systems Engineering
National Science Foundation

Pinhas Ben-Tzvi, Ph.D., P.E.
Program Director
Established Program to Stimulate Competitive Research (EPSCoR)
Office of the Director (OD) I Office of Integrative Activities (OIA)

Daniel A. McAdams
NSF Program Director, Convergent Activities, CMMI/ENG

Dr. Harry Dankowicz
Program Director, Dynamics, Control & Systems Diagnostics (DCSD) and BRITE
National Science Foundation (NSF)

Steven W. Shaw
Department of Mechanical and Civil Engineering
Florida Institute of Technology

Kathryn Matlack
Assistant Professor
Mechanical Science and Engineering
The Grainger College of Engineering

Bogdan I. Epureanu
Arthur F. Thurnau Professor
Professor of Mechanical Engineering, and Professor of Electrical Engineering and Computer Science
Director, Automotive Research Center
University of Michigan, Ann Arbor