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IDETC-CIE > Program > Keynotes & Special Sessions

Keynotes & Special Sessions

Damian Harty, Future Vehicle Systems Ltd
Mike Blundell, Coventry University

Presentation Title: The Multibody Systems Approach to Vehicle Dynamics – Past, Present, Future

Abstract: This paper reviews the use of Multibody Systems (MBS) analysis to support the vehicle dynamics design and development process and how it has evolved over the last 60 years. The historical contributions of great vehicle dynamics pioneers, including Lanchester, Olley, Segal, Milliken and Sharp are described leading to the early use of MBS and the processes involved to plan, develop and process efficient full vehicle simulations of proving ground test track manoeuvres is described.

The present situation where sophisticated model building toolkits enable more challenging scenarios to be addressed is covered, including the growing capability to include flexible bodies. This is discussed in the context of modelling vehicles other than passenger cars (motorcycles and commercial vehicles).

The paper concludes by looking to the future and the growing use of autonomy in vehicle operation. The authors will argue that there is a substantial safety case to address when considering the execution of vehicle motions using digital interventions to driver inputs. In this context MBS offers an important capability by allowing testing to proceed significantly faster than real time, and considering scenarios which might otherwise prove unreasonably hazardous to perform. Using numerical implementations of Newtonian models allows us to fully investigate the design space and improve our confidence in any assertion that such systems are acceptably safe.

Damian Harty

Damian Harty is a vehicle dynamics specialist ("making vehicles steer and stop") with over 30 years' experience across automotive, motorsport, military, and powersports applications. He has held both academic and industrial roles, teaching at Master's level and co-authoring the first and second editions of The Multibody Systems Approach to Vehicle Dynamics, with a particular emphasis on embedding multibody dynamics methods within the vehicle design and development process. In industry, he has held senior technical roles delivering high-performance and electric vehicles, using multibody methods as a unifying framework for vehicle system design and attribute delivery. Damian has contributed both theoretically and practically across a wide range of programs, including World Rally at Prodrive and the 1,000+ horsepower Lucid Air.

Mike Blundell

Professor Mike Blundell has research that focuses on automotive safety and vehicle dynamics and the use of multi-body systems (MBS) software. He is based in the Future Transport and Cities Research Institute at Coventry University and he has over 40 years of experience in industry and academia and a strong research track record having supervised over 30 successful PhD completions, acted as principal investigator on a range of UK and EU funded projects and has over 150 publications. He is co-author of a well-known text-book The Multibody Systems Approach to Vehicle Dynamics that is used by universities, research centres and industry around the world. He has held posts as a Visiting Academic at Purdue (USA), University of Windsor (Canada) and Bergamo University (Italy). His current work focusses on the use of active systems to improve safe driving in wet road conditions and to prevent aquaplaning.

Presentation Title: Extending the Lithium-ion Battery Lifecycle: Ageing Identification and Thermal Management Design

Presenters:
Alberto Ponso, Saulius Pakštys
Politecnico di Torino, Turin, Italy

Abstract: Progressive ageing is a distinctive characteristic of batteries and represents the most relevant operational difference from traditional power sources such as fossil fuels. Such ageing causes degradation of battery performance, i.e., capacity reduction and internal resistance increase. These phenomena are most evident in vehicular applications, where energy/mass ratio is crucial, and the increased Joule losses due to internal resistance are an additional challenge for thermal management. Therefore, focus on the lifetime augmentation of battery systems, also thanks to optimized thermal management solutions, is of notable interest within the development of novel solutions for automotive applications. This presentation is divided into two parts.

The first part will focus on battery ageing mechanisms, which will be discussed considering a high-power low-energy module for mild-hybrid application as a reference. The presentation will cover the theory of ageing, the characterization procedures, and some real-time and offline techniques of monitoring and diagnostics. A comparison will be drawn between current profiles in vehicular and stationary applications.

The discussion on novel methods of battery thermal management is discussed in the second part of the presentation. Here, the exploitation of immersion thermal management is presented for cylindrical lithium-ion cells, where experimental work is conducted. Additionally, high-fidelity semi-empirical electrochemical models coupled with heat transfer are presented and applied to the design of partial immersion thermal management systems for highly integrated battery packs. An exploration of virtual temperature sensing techniques for real-time monitoring of axial temperature gradients of cells is also included, where data-driven methods based on graph convolutional neural networks are discussed.

Alberto Ponso

Alberto Ponso received the B.Sc. and M.Sc. degrees in automotive engineering from Politecnico di Torino, Turin, Italy, in 2020 and 2022, respectively, where he has been currently working toward the Ph.D. degree in Mechanical Engineering, since 2022. His research interests include vehicle electrification, sustainable transportation, route planning of electric vehicles for grid integration, and battery testing for state of health assessment and second-life addressing. He is a member of the Interdepartmental Center for Automotive Research and Sustainable Mobility (CARS) at Politecnico di Torino.

 

 

Saulius Pakštys

Saulius Pakštys received the B.Sc. and M.Sc. degrees in Mechanical Engineering in 2021 and 2022 respectively, from Politecnico di Torino, Turin, Italy where he is currently working toward the Ph.D. degree in mechanical engineering with Mechatronics Laboratory. His research interests include energy management strategies for hybrid energy storage systems, highly integrated battery systems design, and electric machine thermal analysis. Within the topics of actuators and energy storage systems, he explores thermal management design and virtual sensing techniques for difficult-to-access regions.

Dr. David J. Gorsich

Monday, August 24, 8:00am – 9:00am

Dr. David J. Gorsich
Chief Scientist
U.S. Army Ground Vehicle Systems

Keynote Title: Thirty Years Developing Modeling and Simulation Tools

Abstract: The U.S. Army has been investing in the development of modeling and simulation tools to design and assess ground vehicle systems for over thirty years. The use of these tools across the lifecycle of Army systems was initially limited but now involves every aspect supporting system development. Where initially there were doubts about the fidelity of the tools over all the use cases the systems would be subject to, now there is an insatiable demand for more computing infrastructure. The story is not just about AI, but how the community has sought to balance fidelity with speed. Meta modeling and surrogate modeling were long under development before the newest foundation models were introduced. Also given the amount of data now managed across the lifecycle for these systems, demand for digital engineering environments and digital threads to move the data around has greatly increased. These tools have aided the Army in the analysis of many aspects of systems and the physics involved, to include electromagnetic signatures, vehicle dynamics and mobility, intelligent control, structural analysis, and the operational environment. This keynote will talk about the journey we have been on, and where we are going.

Biography: Dr. David J. Gorsich is currently on a special assignment with the Office of the Assistant Secretary of the Army for Acquisition, Logistics and Technology. Prior to that he was working for the Deputy Assistant Secretary of the Army for Data, Engineering and Software and developed the Army's Digital Engineering Strategy. He was selected for a Scientific and Professional (ST) position in January 2009 and currently serves as the Army's Chief Scientist for Ground Vehicle Systems, with a technical specialization in Modeling and Simulation (M&S). His current research interests are digital engineering, vehicle design and mobility, autonomy, AI, and modeling & simulation. Prior to his current role, he served in various positions of progressing responsibility in the U.S. Army Ground Vehicle System Center, such as Director of the Strategic Plans and Programs Office, Associate Director for Modeling and Simulation, Team Leader in Robotics and Vehicle Intelligence, among others. He also worked assignments in Army Materiel Command (AMC), Secretary of the Army for Research, Development and Acquisition (SARDA) and the Army Research Laboratory (ARL). In recognition of his service, he was awarded several Commander's Coins and the Commander's Award for Civilian Service in 2003. He is also the recipient of numerous awards, such as the 2020 ASME Milliken Career Award and the SAE Arch T. Colwell Merit Award. Dr. Gorsich is a Fellow of Society of Automotive Engineers (SAE) and American Society of Mechanical Engineers (ASME), and served on the SAE Board of Directors, and Standards, and is the Editor-in-Chief of ASME Journal of Autonomous Vehicles and Systems, an Associate Editor for several highly respected technical journals, such as ASME Journal of Mechanical Design, International Journal of Terramechanics, and International Journal for Reliability and Safety. He has published extensively with more than 150 conference and journal articles, including more than 50 articles in peer-reviewed journals, such as Transactions of SAE, International Journal of Vehicle Design, Journal of Mechanical Design, IEEE Transactions on Pattern Analysis and Machine Intelligence, Contemporary Mathematics, Physical Review, among others. He co-authored a book called The TARDEC Story: Sixty-five Years of Innovation which traces the evolution of innovation in TARDEC to its current position as the center of excellence for ground vehicle development and integration in the U.S. Army. He received his Ph.D. in Applied Mathematics from the Massachusetts Institute of Technology, his M.S. degree in Applied Mathematics from George Washington University and his B.S. degree in Electrical Engineering from Lawrence Technological University.

Presentation Title: AI-Empowered Digital Twins for Engineering Design and Manufacturing

Tuesday, August 25, 4:2 pm - 6:00pm

Format:

  • Brief intro: 5 minutes
  • Lightning presentations: 6 minutes each for 24 minutes total → contribute to the theme Q&A
  • Questions from moderator: 25 minutes
  • Q&A from the audience: 40 minutes
  • Closing remarks: 6 minutes

Dr. Austin Downey

Panelist

Dr. Austin Downey
Associate Professor of Mechanical Engineering
University of South Carolina

Dr. Austin Downey is an Associate Professor of Mechanical Engineering at the University of South Carolina. He received his B.S. and Ph.D. degrees from Iowa State University. His research focuses on physics-informed artificial intelligence, digital twins, and real-time data assimilation. He develops low-latency AI/ML and physics-informed machine learning (PIML) approaches for physics-constrained digital twin frameworks that support online structural validation and adaptive decision-making in additively manufactured components. His work has received support and recognition through the NSF CAREER Award, Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award, Fulbright Award, and the ASME Gary Anderson Early Achievement Award.

 

Dr. Chenhui Shao

Panelist

Dr. Chenhui Shao
Associate Professor of Mechanical Engineering
University of Michigan, Ann Arbor

Dr. Chenhui Shao is an Associate Professor in the Department of Mechanical Engineering at the University of Michigan, Ann Arbor. Before joining Michigan, he served on the faculty at the University of Illinois at Urbana-Champaign between 2016 and 2023, where he advanced to the rank of Associate Professor in the Department of Mechanical Science and Engineering. Chenhui received his B.E. degree in Automation from the University of Science and Technology of China; M.S.E. degree in Industrial and Operations Engineering, M.A. degree in Statistics, and Ph.D. degree in Mechanical Engineering, all from the University of Michigan, Ann Arbor. His research focuses on smart manufacturing, machine learning, statistics, materials joining, and manufacturing systems control and automation. Chenhui's honors and awards include S.M. Wu Research Implementation Award, NSF CAREER Award, ASME Chao and Trigger Young Manufacturing Engineer Award, IISE Manufacturing and Design Division Outstanding Young Investigator Award, SME Barbara M. Fossum Outstanding Young Manufacturing Engineer Award, SME 30 Under 30 Honoree, and Dean’s Award for Excellence in Research at Illinois. His research contributions have been recognized by multiple best paper awards and highlighted in the Manufacturing USA Report. In 2025, Chenhui was selected to participate in the National Academy of Engineering (NAE) Grainger Foundation Frontiers of Engineering Symposium, and in 2021, he was chosen as one of only 30 nationwide to attend the ASEE DELTA Junior Faculty Institute. He currently serves as an associate editor for the Journal of Manufacturing Processes and the ASME Journal of Dynamic Systems, Measurement, and Control.

 

Dr. Elizabeth Qian

Panelist

Dr. Elizabeth Qian
Assistant Professor Aerospace Engineering and Computational Science and Engineering Georgia Tech

Dr. Elizabeth Qian is an Assistant Professor at Georgia Tech jointly appointed in the School of Aerospace Engineering and the School of Computational Science and Engineering. Her interdisciplinary research develops new computational methods to enable engineering design and decision-making for complex systems, with particular foci on reduced modeling, scientific machine learning, and multi-fidelity methods. Prior to joining Georgia Tech, Elizabeth was von Karman Instructor at Caltech in the Department of Computing and Mathematical Sciences, and earned her PhD, SM, and SB degrees from the MIT Department of Aeronautics and Astronautics. Highlights of her awards and honors include a Caltech-wide teaching award from the undergraduate student body, an NSF CAREER grant, an AFOSR Young Investigator Program grant, the Fannie and John Hertz Foundation Fellowship, and a U.S. Fulbright Student grant. Elizabeth also currently holds a visiting faculty appointment as a Hans Fischer Fellow at the Technical University of Munich.

 

Dr. Ramin Bostanabad

Panelist

Dr. Ramin Bostanabad
Associate Professor
Mechanical and Aerospace Engineering
University of California, Irvine

Dr. Ramin Bostanabad is an Associate Professor in the Department of Mechanical and Aerospace Engineering at University of California, Irvine (UCI). Dr. Bostanabad completed his bachelor's degree at the University of Tehran and earned his Ph.D. in 2019 from Northwestern University where his works were recognized with a number of awards including Terminal Year Fellowship, Martin Outstanding doctoral Fellowship, Predictive Science and Engineering Design Fellowship, and Walter P. Murphy Fellowship. His research focuses on uncertainty quantification, optimization, and design under uncertainty, with an emphasis on developing interpretable and probabilistic machine learning methods. At UCI, his group develops data-driven and physics-informed frameworks for applications spanning materials discovery, advanced manufacturing, computational mechanics, and topology optimization. His research has been recognized with several awards including 2023 NSF CAREER Award and 2021 NASA Early Career Faculty Award. Dr. Bostanabad is a Review Editor of the Structural and Multi-disciplinary Optimization (SMO) Journal and recently led a special issue on Design under Uncertainty in the ASME Journal of Mechanical Design.

 

Dr. Zhen Hu

Moderator

Dr. Zhen Hu
Associate Professor of Industrial and Manufacturing Systems Engineering (IMSE)
University of Michigan-Dearborn

Dr. Zhen Hu is an associate professor in the Department of Industrial and Manufacturing Systems Engineering (IMSE) at the University of Michigan-Dearborn (UM-Dearborn). Prior to joining UM-Dearborn, he was a research assistant professor and postdoctoral research scholar at Vanderbilt University. Dr. Hu earned his Ph.D. in Mechanical Engineering from Missouri University of Science and Technology (formerly the University of Missouri-Rolla) in 2014. His research areas of interest are uncertainty quantification, Bayesian data analytics, risk and reliability, structural health monitoring, prognostics and health management, model verification and validation, machine learning/artificial intelligence, and optimization under uncertainty. He has won multiple best paper awards and is the recipient of the 2023 ASME Design Automation Young Investigator Award. He is currently serving as a Review Editor of Structural and Multidisciplinary Optimization Journal, an Associate Editor of Engineering Optimization Journal, an Associate Managing Editor of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, and an Editorial Board member of several other journals. He has served as the 2022 technical discipline chair of the AIAA SciTech, Non-Deterministic Approach (NDA) Conference.

Satyandra K. Gupta

Satyandra K. Gupta
Director of the Center for Advanced Manufacturing
Viterbi School of Engineering
University of Southern California

Keynote Title: Design for Robotic Assembly

Abstract: Addressing labor shortages requires a strategic shift toward automating assembly processes. Beyond managing costs and capacity, deploying automation significantly improves ergonomics and product quality. However, products originally designed for manual assembly often present insurmountable challenges for automated assembly. Recent breakthroughs in physical AI are changing are endowing robots with unprecedented capabilities. Therefore, robotic assembly is becoming an attractive option in high-mix manufacturing applications. This presentation focuses on the principles of designing products for robotic assembly with little to no human intervention.

Key topics include:

  • Overview of AI-Powered Robots: Current technologies and future trends, focusing on grasping, assembly, and perception.
  • Design Rules for Automation: Strategies to simplify assembly through part consolidation, automated part feeding, reliable and efficient insertion, and mistake-proofing.
  • Digital Threads & Digital Twins: The impact of robot-generated data on creating robust digital twins and preserving digital threads.
  • Practical Use-Cases: Analysis of existing products, assessing their suitability for automation and exploring redesign strategies to ensure robotic assembly.

Biography: Dr. Satyandra K. Gupta holds Smith International Professorship in the Viterbi School of Engineering at the University of Southern California and serves as the Director of the Center for Advanced Manufacturing. He is also Co-Founder and Chief Scientist at GrayMatter Robotics. His research interests are physical artificial intelligence, computational foundations for decision-making, and human-centered automation. He has published more than five hundred technical articles in journals, conference proceedings, and edited books. He also holds twenty-eight US patents. He is a fellow of the American Association for the Advancement of Science (AAAS), American Society of Mechanical Engineers (ASME), Institute of Electrical and Electronics Engineers (IEEE), National Academy of Inventors (NAI), Solid Modeling Association (SMA), and Society of Manufacturing Engineers (SME). He is a former editor-in-chief of the ASME Journal of Computing and Information Science in Engineering. He has received numerous honors and awards for his scholarly contributions. Representative examples include a Presidential Early Career Award for Scientists and Engineers in 2001, Invention of the Year Award at the University of Maryland in 2007, Excellence in Research Award from ASME Computers and Information in Engineering Division in 2013, Distinguished Alumnus Award from Indian Institute of Technology, Roorkee in 2014, ASME Design Automation Award in 2021, Distinguished Alumni Award from Indian Institute of Technology, Delhi in 2022, Lifetime Achievement Award from ASME Computers and Information in Engineering Division in 2024, Eli Whitney Productivity Award from SME in 2025 and William T. Ennor Manufacturing Technology Award from ASME in 2025. He has also received eleven best paper awards at international conferences. He currently serves as a member of the Technical Advisory Committee for Advanced Robotics for Manufacturing (ARM) Institute and a member of A3 Robotics Technology Strategy Board. He also served as a member of the National Materials and Manufacturing Board (NMMB).

Jorge Ambrósio

Monday, August 23 | 10:50am to 12:10pm | Room 340B

Jorge Ambrósio
Mechanical Engineering Department
Instituto Superior Técnico

Presentation Title: Multibody Dynamics: A Short Historical Overview Looking for the Future

Abstract: As a branch computational dynamics, within the broader area of computational mechanics, multibody dynamics is now an independent mature scientific area fundamental to the design and analysis of complex engineered systems. With its theoretic foundations in the classic Newtonian mechanics its basis has been developed by mechanists and mathematicians before the computer age. Computational Multibody Dynamics methods start developing independently with the access to computers, being recognized, today, as an autonomous part of computational mechanics with its particular methods, dedicated computer codes, conferences, scientific journals and international associations, being taught in a large number of university courses worldwide with dedicated textbooks. Originally more focused in aerospace systems and gyroscopes, multibody dynamics found new fields of applications in biomechanics, initially in crashworthiness and later on general movement, machine design and vehicle dynamics. The breath of applications was further developed in its classical fields with important developments on flexible multibody dynamics for aerospace, machines and surface vehicle applications, biomechanics for biomedical engineering, sports sciences and veterinary studies or mechatronics and general control. Bridging the present and the future, the coupling between the classical Multibody Formulations and other fields of computational mechanics, via co-simulation paradigms, is being found to be an important discipline for multiphysics computational environments. The possibilities offered by the opportunities created by the Artificial Intelligence arise with challenges and dangers, which can only be overcome with solid foundations and Natural Intelligence. The need for Digital Twins in all major engineering applications is another area that is reshaping the use of computational procedures in Multibody Dynamics.

Biography: Prof. Jorge A.C. Ambrósio, having received his Ph.D. degree from the University of Arizona in 1991, he is currently Full Professor and head of the Structural and Computational Mechanics group at the Mechanical Engineering Department of Instituto Superior Técnico at the University of Lisbon, Portugal. He is the author of more than 300 publications, including several books and a large number of papers in international journals in the areas of Multibody Dynamics, Flexible Multibody Dynamics, Structural Mechanics, Vehicle Dynamics, Crashworthiness and Biomechanics. His current SCOPUS h-index is over 50 with more than 8000 citations. He was the advisor of more than 30 PhD students and a large number of MSc students, being the responsible for the creation of diverse courses in Mechanical Systems, Vehicle Dynamics and Biomechanics in which the computational core is Multibody Dynamics. He has been the responsible of several national and international projects in railway dynamics, biomechanics and passive safety. Currently he is the Editor-in-Chief of Multibody System Dynamics, for which is the co-founder, and member of the editorial boards of several international journals.

Olivier Brüls

Monday, August 24 | 8:10am to 9:10am | Room 340B

Olivier Brüls
Department of Aerospace and Mechanical Engineering
University of Liège

Presentation Title: Nonsmooth Formulations for Flexible Multibody Systems: From Frictional Contact Laws to Numerical Simulation

Abstract: This talk addresses the numerical simulation of multibody systems composed of rigid and flexible bodies interacting through frictional contact. Particular attention is devoted to interactions involving slender structural components such as flexible beams and cables. Such configurations arise in many applications, including textile engineering, soft robotics, cable assemblies, and cable-driven mechanical systems.

The Signorini–Coulomb model describes unilateral contact by combining the Signorini condition for non-penetration with Coulomb’s law of dry friction. It provides a simple and physically meaningful idealization of dry contact with a minimal set of parameters, making it particularly suitable for system-level simulation.

The treatment of nonsmooth contact laws in systems involving flexible beams raises several fundamental questions: What is the interplay between beam kinematic assumptions and the contact law? How should the contact interface along a flexible component be spatially discretized? How can the framework be extended to dynamics, and what role does the impact law play in that context? Finally, how can the equations of motion be integrated in time in the presence of nonsmooth phenomena and strong flexibility effects? The talk will discuss modeling and numerical strategies that enable nonsmooth contact formulations to be effectively combined with flexible multibody dynamics in practical simulation frameworks.

Biography: Olivier Brüls is Full Professor in the Department of Aerospace and Mechanical Engineering at the University of Liège in Belgium. He obtained a Master’s degree in Mechanical Engineering in 2001 and earned his Ph.D. degree from the University of Liège in 2005. He spent a postdoctoral year within the Institute of Engineering and Computational Mechanics at the University of Stuttgart, Germany. Since 2008, he is the head of the Multibody and Mechatronic Systems Lab at the University of Liège. His research focuses on flexible multibody dynamics, mechatronics, numerical simulation, control and optimization methods with applications in the fields of robotics, biomechanics and deployable structures. He is also involved in the Laboratory of Human Motion Analysis of the University of Liège. He serves as associate editor of Mechanism and Machine Theory, is member of the advisory board of Multibody System Dynamics, and is part of the steering committee of the overlay journal Journal of Theoretical, Computational and Applied Mechanics (JTCAM). He is one of the coordinators of the European Network for Nonmooth Dynamics (ENNSD).

Anil K. Bajaj

Monday, August 23 | 9:10am to 10:30am | Room 340B

Anil K. Bajaj
Alpha P. Jamison Professor of Mechanical Engineering
Purdue University

Presentation Title: Random/Chaotic Excursions in Nonlinear Mechanics: Jets, Resonant Structures, "Car Seats" and Microresonators

Abstract: The faculty career of Anil Bajaj can be delineated into two distinct components: research, teaching and scholarly activities, and service to Purdue academic programs, primarily in Mechanical Engineering. Beginning with some historical context of his early research effort, the talk will focus on some of the research that has been conducted by Anil Bajaj and his collaborators, including graduate students and faculty over the past forty or so years. A few of the research areas will receive greater attention. The first project involves ‘bifurcation phenomena’ arising in self-excited oscillations of fluid-conveying pipes. The second research area involves "resonant dynamics" of nonlinear elastic structures including spherical pendulum, strings, beams, and plates with various boundary conditions. While, in the past, structures were selected for analysis based on their characteristics, some more recent studies on synthesis of such structures will also be described. Lastly, detailed multi-degree-of-freedom modeling effort investigating the dynamics of seat-occupant systems to characterize low frequency vibrations affecting the occupant’s ride will be presented.

Biography: Anil K. Bajaj is the Alpha P. Jamison Professor of Mechanical Engineering at Purdue University. He served as a Visiting Professor and Arcot Ramachandran Chair in Department of Applied Mechanics at the Indian Institute of Technology Madras and Chennai, India, in 2019-2020. He was the William E. and Florence E. Perry Head of Mechanical Engineering (6/2011-6/2019) and Associate Head for Research and Graduate Education (1998-2010), all at Purdue. Dr. Bajaj completed his B.Tech. (1973) and M.Tech. (1976), both in Mechanical Engineering from the Indian Institute of Technology, Kharagpur and Kanpur, India, respectively, and PhD in Mechanics (1981) from the University of Minnesota. Dr. Bajaj’s research is in the areas of nonlinear dynamics of structural systems; linear stability and dynamics of systems and structures; brake squeal predication and sensitivity analysis; dynamics of seat-occupant systems; MEMS designs using nonlinear resonances; flow-induced dynamics of elastic bodies; Uncertainty Analysis in Dynamical Systems; and modeling of Viscoelastic Properties of Foam. He is a Fellow of the ASME, and has received many Purdue University awards ("Provost's Award for Outstanding Graduate Mentors", Purdue Graduate School, 2006; College of Engineering "Mentorship" Award for Faculty Excellence, "Team" Award for Faculty Excellence, 2009). He has published more than 250 archival journal and conference proceedings papers, and has advised (or co-advised) more than 52 M.S. and Ph.D. students. Dr. Bajaj served as a Contributing Editor of the journal Nonlinear Dynamics till 2015. He was awarded the 2019 Thomas K. Caughey Dynamics Award by the Applied Mechanics Division (AMD) of the ASME.

Mahmoud I. Hussein

Mahmoud I. Hussein
Alvah and Harriet Hovlid Professor
Ann & H.J. Smead Department of Aerospace Engineering Sciences
Department of Physics
University of Colorado Boulder

Keynote Title: Flow-phonon Interaction: How Vibration Engineering Can Transform the Field of Flow Control

Abstract: Flow control over surfaces is a long-standing, multidisciplinary engineering challenge. It seeks passive or active means of intervening in the flow field to induce desirable changes in overall behavior. For streamlined bodies moving through air or water, a central goal is to control flow instabilities that appear as fluid waves—perturbations in the velocity field that, if unchecked, can trigger transition from laminar to turbulent flow and sharply increase skin-friction drag. Elevated drag reduces the efficiency of vehicles, wind turbines, pipelines, and other systems, motivating methods to suppress instability growth. In some cases, however, the aim is the opposite: to accelerate instability growth to delay or prevent flow separation.

Phononics, on the other hand, is a contemporary field focused on understanding the nature of intrinsic mechanical vibrations in artificially structured materials, generally referred to as phononic materials, and uses this knowledge to extend the boundaries of physical response at the material and structural levels. The field bridges multiple disciplines across applied physics and engineering, and spans scales from the atomic scale (THz) to the macroscale (Hz-GHz).

In this talk, I will present an emerging paradigm‒proposed by our group in 2015‒that merges these two fields to enable control of the fundamental flow mechanisms mentioned above [Hussein et al., Proc. R. Soc. A, 2015]. The central premise is to engineer phonon motion beneath the flow-exposed surface so that prescribed spectrally shaped phonon characteristics passively transmit into the flow and alter its dynamics. Such phonon behavior can be realized using any type of phononic material, such as a phononic crystal or an elastic metamaterial. Once installed, the material has finite size and thus functions as a phononic subsurface (PSub)—a general concept that may be implemented in a variety of forms and designed based on different criteria. A key advantage of PSubs is their ability to achieve precise phase synchronization between structural and fluid response. By preprogramming the PSub’s band-structure and truncation properties—corresponding to frequency, wavevector, phase, and amplitude—it is possible, in principle, to attain unprecedented command of flow behavior.

After introducing the topic, I will overview our group's latest contributions, namely extending the concept to (1) a lattice of PSubs for downstream control [Hussein et al., arXiv:2503.18835v4, 2025] and (2) a super-resonant PSub capable of broadband control [Harris et al., arXiv:2509.15142v1, 2025].

Biography: Mahmoud I. Hussein is the Alvah and Harriet Hovlid Professor at the Smead Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He holds a courtesy faculty appointment in the Department of Physics and has formally served as the Engineering Faculty Director of the Pre-Engineering Program and the Program of Exploratory Studies. He received a BS degree from the American University in Cairo (1994) and MS degrees from Imperial College London (1995) and the University of Michigan‒Ann Arbor (1999, 2002). In 2004, he received a PhD degree from the University of Michigan‒Ann Arbor, after which he spent two years at the University of Cambridge as a postdoctoral research associate.

Dr. Hussein's research focuses on the dynamics of materials and structures, especially phononic crystals and metamaterials, at both the continuum and atomistic scales. He received a DARPA Young Faculty Award in 2011, an NSF CAREER award in 2013, and in 2017 was honored with a Provost's Faculty Achievement Award for Tenured Faculty at CU Boulder. He was awarded as PI two multi-million dollar grants, both on concepts he discovered—nanophononic metamaterials (NPMs, Phys. Rev. Lett., 2014; ARPA-E 2019-2023) and phononic subsurfaces (PSubs, Proc. R. Soc. A, 2015; ONR MURI 2024-2029). He has co-edited a book titled Dynamics of Lattice Materials published by Wiley. He is a Fellow of ASME and has served as an associate editor for the ASME Journal of Vibration and Acoustics. In addition, he is the founding vice president of the International Phononics Society and has co-established the biennial Phononics 20xx conference series which has helped create a new multidisciplinary research community and is widely viewed as the world's premier event in the emerging field of phononics.

Dr. Zhenhua Tian

Dr. Zhenhua Tian
Assistant Professor
Department of Mechanical Engineering at
Virginia Tech University

Presentation Title: Leveraging Acoustics: From Damage Diagnosis to Particle Manipulation

Abstract: Acoustic waves carry both information and energy, allowing them to inspect material damage and create invisible robotic hands capable of manipulating nano- to millimeter-scale particles. This talk covers our studies on acoustics-based damage diagnosis and non-contact bioparticle manipulation. The first part of the talk focuses on ultrasonic phased arrays and laser ultrasonics for measuring material property distributions and detecting defects in various structures, such as 3D-printed metallic and composite panels. The second part of the talk focuses on acoustic tweezers that leverage transducer arrays to dynamically control acoustic fields for non-contact, versatile manipulation of objects across multiple length scales. Their key functions and potential applications will be discussed, including (i) constructing diverse lattice-like patterns of cells and dynamically transforming these patterns, (ii) printing anisotropic tissues with aligned cells, (iii) stimulating and disrupting single cells using highly focused ultrasound with <100 μm resolution, (iv) characterizing the biophysical properties of single cells, (v) contactless transport and levitation of droplets, and (vi) transporting small targets inside blood vessels shielded by the skull. Lastly, I will present our recent experiments leveraging acoustic waves to manipulate particles and bubbles under microgravity.

Biography: Dr. Zhenhua Tian received his Ph.D. in Mechanical Engineering from the University of South Carolina in December 2015 and completed postdoctoral training at Duke University in August 2019. He is currently an Assistant Professor in the Department of Mechanical Engineering at Virginia Tech. He received the Virginia Tech Dean's Awards of Excellence Outstanding New Assistant Professor, Dean's Awards of Excellence Faculty Fellow Award, Achenbach Medal, Lab on a Chip Emerging Investigator recognition, ASME Rising Star Award, and NSF CAREER Award. His research focuses on acoustics-based manipulation of nano- to millimeter-scale objects, ultrasonic nondestructive evaluation, and acoustic metamaterials. In these areas, he has published 90+ journal papers with a total citation of 5000+. More details about this research area can be found on the website of the Acoustics and Functional Materials Laboratory.

Daniel J. Segalman

Daniel J. Segalman
Professor of Mechanical Engineering
Michigan State University

Presentation Title: Acceptable Models When the Answers Must be Correct

Abstract: Engineers rely on models every day—some exceptionally accurate, others merely convenient. More often than we admit, we choose the most tractable model while knowing it falls short of reality.

Signs of model inadequacy are easy to recognize: a name that is almost self-contradictory, such as an "amplitude-dependent linear model"; heavy post-hoc calibration when a predictive tool was what was actually needed; or designs that require generous safety factors to compensate for uncertain predictions. Yet imperfect models persist for two practical reasons: first, we may not know how to do better; second, the consequences of being wrong may be small.

This talk examines models that survive under one or both of these conditions, and how sustained programmatic needs can justify the investment required to replace them with models that are both more accurate and more useful. When the "right" answer truly matters, better modeling becomes a strategic priority.

Throughout that process, culture and management are as important as mathematics. They shape how problems are recognized, how resources are assembled, how support is sustained, and how new methods are integrated into everyday practice.

These themes will be illustrated through four engineering problems I encountered across my career—usually while working alongside people smarter than I am.

Biography: Daniel J. Segalman is Professor of Mechanical Engineering at Michigan State University and a Fellow of the American Society of Mechanical Engineers. He is internationally recognized for contributions to structural dynamics, vibration, uncertainty quantification, model validation, and nonlinear mechanics.

Before joining Michigan State University in 2015, he spent nearly three decades at Sandia National Laboratories, where he retired as a Distinguished Member of Technical Staff. Prior to that he spent eight years in industrial research laboratories. Over the course of his career, he has led major research programs, developed influential analytical methods for jointed structures and nonlinear systems, and advanced predictive engineering simulation.

Dr. Segalman has received numerous honors, including the ASME Myklestad Award, the ASME Robert E. Abbott Award, and now the 2026 ASME Mary Baker Industry Achievement Award. He has authored an extensive body of scholarly publications and patents spanning dynamics, smart materials, contact mechanics, and computational engineering.

Lei Zuo

Lei Zuo
Herbert C. Sadler Collegiate Professor of Engineering
University of Michigan

Presentation Title: Ocean Wave Energy Conversion: From Dynamics and Control to Community-Centric Research Convergence

Abstract: Covering more than 72% of the Earth's surface, the ocean holds vast and largely untapped energy resources, particularly in oscillatory ocean waves. The theoretical global wave energy potential exceeds 30,000 TWh per year, more than current worldwide electricity consumption, with a power density five to ten times greater than wind or solar energy. Despite more than 250 concepts proposed since the first patent in 1799, wave energy remains in its infancy. A fundamental challenge lies in the irregular, low-speed nature of waves, with time-varying amplitudes and frequencies. To address this, a mechanical motion rectification mechanism was invented to convert bidirectional oscillatory motion into unidirectional rotation. While this improves energy conversion efficiency, it also introduces discontinuity and controllability challenges. To overcome these limitations, a control co-design framework has been developed that concurrently considers hydrodynamics, wave–structure interaction, power takeoff, and control strategies to optimize global "wave-to-wire" performance. Beyond engineering challenges, wave energy development involves economic, environmental, and sociological complexities. To address these issues, a community-centric research convergence approach is being explored through coastal community-engaged decision-making, techno-economic-socio-environmental assessment, and transdisciplinary co-design. This lecture will conclude with a vision for advancing marine energy through multidisciplinary collaboration, academia-industry-community partnerships, and multidimensional workforce development.

Biography: Lei Zuo is the Herbert C. Sadler Collegiate Professor of Engineering at the University of Michigan and the founding Director of the NSF Industry–University Cooperative Research Center for Growing Ocean Energy Technologies and the Blue Economy (GO Blue). His research spans marine energy, energy harvesting, vibration control, mechatronic design, and advanced manufacturing.

Professor Zuo has authored over 400 publications, including 20 award-winning papers, and has supervised more than 100 graduate students, mentored over 20 postdoctoral researchers, and advised more than 400 undergraduate students. His honors include the ASME Thar Energy Design Award, the ASME Leonardo da Vinci Award, the ASME N.O. Myklestad Award, the ASME McDonald Mentoring Award, two R&D 100 Awards, and the SAE Ralph R. Teetor Educational Award.

The CIE Division is hosting a networking event at the 2026 IDETC-CIE on Tuesday, August 25, from 2:20 PM to 4:00 PM.

Women in Mechanical Engineering is a networking event designed to connect students, engineers, academics and industry leaders, who are passionate about advancing in the mechanical engineering field. The event provides a welcoming space to share experiences, discuss career pathways, explore industry trends, and build meaningful professional relationships. Through presentation and conversation, attendees will gain insight, inspiration, and valuable connections that support career growth and leadership in mechanical engineering.


Dr. Christina Wang

MODERATOR

Dr. Christina Wang
Vice President, Engineering Applications
American Bureau of Shipping (ABS)

Biography: Dr. Christina Wang serves as Vice President of Engineering Applications at the American Bureau of Shipping (ABS), where she plays a pivotal role in supporting safety, regulatory compliance, and digital innovation within the marine and offshore industries. Her journey from a Ph.D.-trained expert in classical naval architecture to a forward-thinking executive in emerging technologies reflects both her professional evolution and her enduring commitment to the global maritime community. Dr. Wang earned her M.Sc. and Ph.D. in Marine Structures from the Norwegian University of Science and Technology. She is a Fellow of both the American Society of Mechanical Engineers (ASME) and the Society of Naval Architects and Marine Engineers (SNAME). In addition to her technical and leadership credentials, she has completed the Stanford Executive Program and holds an Executive Certificate in Management and Leadership from MIT. Dr. Wang is also a member of the ASME CIE Executive Committee.

 

Dr. Yan Lu

KEYNOTE

Dr. Yan Lu
Deputy Division Chief, System Integration
National Institute of Standards and Technology

Keynote Title: Be Positive, Be Curious, Be Strategic: Career Lessons from Industry to Government—and What AI Changes Next

Biography: Yan Lu is a deputy division chief, group leader and project lead in the Systems Integration Division at the National Institute of Standards and Technology (NIST) Engineering Laboratory, where her research focuses on additive manufacturing and human-AI teaming. She holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University and previously led the Production Operation and Optimization Research Group at Siemens Corporate Technology. Over her career spanning industry, government, and academia, Dr. Lu has authored more than 150 peer-reviewed publications and holds over 15 patents in industrial and building automation technologies. She serves as the U.S. expert to IEC Technical Committee 65 and is an active contributor to ASTM, ASME, and IEEE standards development efforts.

 

Briana Luceadams

PANELIST

Briana Luceadams
R&D Engineer
Los Alamos National Laboratory

Biography: Briana Luceadams is a Research and Development Engineer in the Advanced Systems Development Group at Los Alamos National Laboratory. She has worked as a Systems Engineer on several satellites and instruments during her aerospace tenure, including national weather satellites and the SuperCam (Perseverance Mars2020 Rover) instrument. Her formal engineering education includes degrees from Colorado School of Mines and Johns Hopkins University. Her background as an aerospace engineer working on satellites and scientific imaging instrumentation at Ball Aerospace and Technologies Corporation has informed her use of Systems Engineering in basic science and applied research. A stint of efforts in design-by-analogy, science policy, and humanitarian engineering has laid a foundation for her previous research in the design, optimization, and deployment of concentrating solar power systems in emerging markets and thermal-structural stress modeling on in-situ Additive Manufacturing.

 

Dr. Caterina Rizzi

PANELIST

Dr. Caterina Rizzi
Professor
University of Bergamo

Biography: Caterina Rizzi is Full Professor of Technical Drawing, Product Lifecycle Management (PLM), and Human Modelling at the University of Bergamo. From September 2014 to September 2020, she served as Head of the Department of Management, Information, and Production Engineering. Since April 2023, she has been the Director of the PhD Programme in Health and Longevity, a joint initiative between the University of Bergamo and the Mario Negri Institute.

She currently chairs a multidisciplinary research group, the Virtualization & Knowledge (V&K) Group, comprising approximately 20 members, including full and associate professors, assistant professors, PhD students, and research fellows. Her current research interests include virtual prototyping and extended reality; methods and tools for product and process ergonomics; human body acquisition and motion analysis; design and simulation of patient-specific medical devices; human and patient digital twins; innovative solutions for motor and neurocognitive rehabilitation; telemedicine and telerehabilitation; and sustainable design.

She has participated in numerous European, national and regional research projects, often as project coordinator, and has also served as a project evaluator for the European Commission within several Framework Programmes.

She is the author or co-author of more than 300 scientific publications in international journals and conference proceedings and has served as both member and chair of several international scientific conference committees.

She has been a member of the Executive Committee of the ASME (American Society of Mechanical Engineers) CIE Division from 2018 to 2025, serving as Conference Chair for ASME CIE 2023 and IDETC-CIE 2024. Since November 2021, she has also served as Member-at-Large of the Congress Organizing Committee of the ASME IMECE Conference. She has been elected a Fellow of ASME.

 

Dr. Carolyn Conner Seepersad

PANELIST

Dr. Carolyn Conner Seepersad
Professor and Eugene C. Gwaltney, Jr., School Chair
Georgia Institute of Technology

Biography: Dr. Carolyn Conner Seepersad is a Woodruff Professor in the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology, where she leads the Digital Design and Manufacturing research group and the TechMade initiative for engineering design and manufacturing. Professor Seepersad joined Georgia Tech after 18 years as a faculty member in the Walker Department of Mechanical Engineering at The University of Texas at Austin, where she founded the Center for Additive Manufacturing and Design Innovation. She received a PhD in Mechanical Engineering from Georgia Tech, an MA/BA in Philosophy, Politics and Economics from Oxford University (as a Rhodes Scholar), and a BS in Mechanical Engineering from West Virginia University. Professor Seepersad’s research interests include design for additive manufacturing, simulation-based design of materials and structures, and process innovation in additive manufacturing. She is the Editor-in-Chief of the ASME Journal of Mechanical Design, an elected member of the advisory board for the Design Society, a member of SME's Additive Manufacturing Technical Leadership Committee, and a former chair of the ASME Design Engineering Division Executive Committee. Professor Seepersad has earned many awards for her research and teaching, including the ASME Design Automation Award and the University of Texas Regents’ Award for Outstanding Teaching (the highest teaching award for faculty in The University of Texas System). She is the author of more than 150 peer-reviewed publications and one book. Her publications have earned Best Paper Awards from the ASME Design Automation Conference, the ASME Design Theory and Methodology Conference, the ASME International Conference on Design Education, and the ASEE Annual Conference and Exposition. She teaches courses on Additive Manufacturing, Engineering Optimization, and Product Design and Realization.

 

Dr. Yaoyao Fiona Zhao

PANELIST

Dr. Yaoyao Fiona Zhao
Professor
McGill University

Biography: Dr. Yaoyao Fiona Zhao is a Professor in the Department of Mechanical Engineering at McGill University, William Dawson Scholar, Ram Panda Faculty Scholar in Sustainable Engineering and Design, and Director of the Additive Design and Manufacturing Laboratory. She also serves as Associate Director of the Trottier Institute for Sustainability in Engineering and Design. Her research focuses on design for additive manufacturing, sustainable design and manufacturing, design and manufacturing informatics, and the application of machine learning and AI in engineering design and manufacturing. She is an ASME Fellow and has held leadership roles in the ASME Design Engineering Division and the Design Society. As a researcher, educator, and mentor, Dr. Zhao is committed to advancing intelligent and sustainable manufacturing systems while supporting the next generation of engineers.