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Prof. Donald Margolis

Prof. Donald Margolis
Department of Mechanical and Aerospace Engineering
University of California

Keynote Title: Low Order Modeling of Vehicle Dynamics Incorporating Actuators for Understanding, Design, and Control of System Behavior

Abstract: Fundamental vehicle dynamics is very well understood thanks to people like William Millikin for which this award is named. Over the decades, tire models have been developed that are used in conjunction with multi-degree-of-freedom vehicle models resulting in very sophisticated commercial programs for simulating and displaying vehicle response. Car companies even refer to these programs as the “real” vehicle. The problem with these programs is that they are not very useful for design. In fact, the vehicle pretty much already exists in order to determine the parameters needed for the program inputs.

In the past 20 years active control of vehicle dynamics has become practical. For active control we need sensors, signal processing, control algorithms and philosophies, and actuators. The actuators are typically electro-mechanical, electro-hydraulic, or perhaps electro-pneumatic meaning that we will probably control an electrical signal in order to produce a force or torque on the vehicle. In order to incorporate such multi-energy domain devices into vehicle models one needs a modeling procedure that allows, first, the modeling of such devices and, second, the incorporation of these actuator models into the vehicle system model. The end result would be a low order model that allows realistic controller development along with actuator specifications, power requirements and more.

Bond graph modeling is a perfect candidate for such multi-energy domain modeling. Some background will be given on bond graph modeling along with its application to several vehicle systems.

Biography: Donald Margolis received his BS in Mechanical Engineering in 1967 from Virginia Polytechnic Institute and State University. He did his graduate work at MIT, receiving an MS, ME, and PhD in Mechanical Engineering in 1972. Upon graduation from MIT, Dr. Margolis joined the faculty of Mechanical Engineering at the University of California at Davis where he is currently Professor of Mechanical Engineering.

Professor Margolis is an expert in the area of physical system modeling and control of engineering systems. He is a principal developer of the bond graph modeling method for interacting multi-energy domain systems. These have come to be called "mechatronic" systems. He is co-author of the most comprehensive text in this area of modeling, titled System Dynamics: Modeling, Simulation, and Control of Mechatronic Systems, published by Wiley and sons of NY. This book is in its 5th edition. He is also co-author of the text Engineering Applications of Dynamics. This book is also published by Wiley and sons.

Professor Margolis has done research and development in the general area of physical system understanding with particular application to vibration control and vehicle dynamics and control. He has published over 150 articles in these areas and holds several patents for devices that required in depth physical system understanding for their invention. Professor Margolis is a Fellow of ASME and the Director of the Hyundai Center of Excellence in Vehicle Dynamic Systems and Control.

Professor Margolis is a teacher, researcher, and consultant to industry and national laboratories throughout the US, Asia, and Europe.

Mr. Ken Leisenring

Mr. Ken Leisenring
Chief Engineer, Powertrain Calibration
Ford Motor Company

Ken has been with Ford since 1995. He has worked in Research, Advanced, and Forward Model activities at Ford including the functional areas of Control Systems, Emissions & Aftertreatment, Engine Development, and Powertrain Calibration. Leisenring has previously held Powertrain Calibration leadership positions for Ford's V6 PFI and EcoBoost engines, Diesel Aftertreatment and On-Board Diagnostics, and Ford’s global I4 EcoBoost engine programs.



Dr. Michael Grieves

Dr. Michael Grieves
Executive Director and Chief Scientist
Digital Twin Institute

Michael is an internationally renowned expert on Digital Twins, a concept that he originated, and organizational digital transformation. His focus is on product development, engineering, systems engineering and complex systems, manufacturing, especially additive manufacturing, and operational sustainment. Dr. Grieves has written the seminal books on Product Lifecycle Management and the seminal papers and chapters on Digital Twins, He has consulted and/or done research at some of the top global organizations, including NASA, Boeing, Unilever, Newport News Shipbuilding, and General Motors.



Mike Molnar

Mike Molnar
NIST / Manufacturing USA

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.

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.

Title: STB SUMMIT 2024

Dr. Robert Wendrich, Rawshaping Technology RBSO
Dr. Krishna Kaipa, Old Dominion University
Marc Halpern, Gartner

Description: The conference executive committee plans to organize a highly creative event called the Science Tech Buzz Summit for the first time during the IDETC CIE 2024 conference. The purpose of the summit is to gather all of the conference community at one place–all the authors, faculty, and students– to talk about their research not in a regular format but in a more creative way. The primary goal of this event is to allow cross-disciplinary sharing of participants' research ideas to connect with other domains in science, technology, design, and engineering. The summit provides a unique forum for participants to share not only scientific and technological ideas but also creative and unconventional concepts.It encourages the exploration of wild and out-of-the-box ideas, recognizing that such ideas often lead to innovation and novel pathways. Through open and encouraging discussions, participants will have the opportunity to present complex issues and high-stakes ideas in a supportive environment. By creating a space for open dialogue and collaboration, the summit aims to inspire participants to push the boundaries of what is possible and drive forward transformative research endeavors. The summit will be conducted in a panel format by identifying and recruiting speakers from the conference community to serve on the panel. The particulars of how to participate in the event will be introduced to the audience by providing examples of ideas originating from the researcher's field of expertise being translated and applied creatively to widely different domains of engineering and/or science.

Title: Scientific Machine Learning for Advanced Manufacturing and Design

Dr. Hyunwoong Ko, Arizona State University

Description: "This panel session explores the intersection of scientific machine learning (SciML) with advanced manufacturing and design, emphasizing the transformative potential of integrating domain-specific scientific knowledge with machine learning algorithms. The focus will be on how SciML can drive innovation in manufacturing processes, product design, and material science, leading to enhanced performance, efficiency, and sustainability. Highlight cutting-edge research and applications of SciML in the field of advanced manufacturing and design.


  • Discuss the integration of scientific principles with machine learning to solve complex design and manufacturing challenges.
  • Encourage collaboration and exchange of ideas between researchers, practitioners, and industry experts.
  • Identify challenges and opportunities in the adoption of SciML for future advancements in manufacturing and design.

Attendees will gain a comprehensive understanding of how SciML is revolutionizing the field of manufacturing and design. The session will foster a conducive environment for networking, collaboration, and innovation, driving forward the adoption of SciML technologies in creating next-generation manufacturing solutions and design methodologies. SciML is at the forefront of the fourth industrial revolution and beyond and offers unprecedented opportunities for intelligent digital manufacturing and design. This session aligns with the current trend towards digital transformation and the integration of AI in manufacturing and design applications, highlighting the role of SciML in shaping the future of related sectors.

Marco Rossoni, Politecnico Milano
Yunbo Zhang, Rochester Institute of Technology

Description: Research in virtual environments and systems often leads to the development of innovative software, hardware, and complete working systems. The VES Show-and-Tell event invites academic and industry researchers to submit proposals for live demonstrations of hardware and software systems developed to advance the design of virtual environments. Presenters are expected to showcase the progression and development of all forms of CIE-related software/hardware prototypes, applications, demos, systems, or simulations. We invite researchers from cross-domains (multi-disciplinary) to participate in this event to participate and become part of this CIE community by sharing examples of their work. Submissions are welcome across any application domain and any system that embodies the interplay across humans, computing devices, interaction technologies, and feedback mechanisms is welcome. Authors of papers submitted and/or accepted to any of the regular VES sessions are particularly welcome to submit their work to this event. The top two exhibits will be selected and honored at the conference.

Here are the submission guidelines:

  • A 3-page proposal (in the ASME IDETC format) detailing the following:
    • Aim of system being displayed
    • Potential audience that will be interested in your exhibit.
    • Components of the system (with flowcharts etc., if applicable)
    • High quality images of the system in action.
    • Any specific requirements (power outlets, tables, etc.) for exhibiting the system.
    • If the system is based on a paper submitted to ASME IDETC/CIE, please refer to the paper as well.
  • Poster describing the system, its motivation, and capabilities. 24” x 36” in size
  • Demonstration at the event: We strongly encourage participants to demonstrate the actual system at the conference; However, a video of the system in action will be permitted in cases where it is difficult to transport the system components to the conference (e.g., systems involving moderate to large-scaled hardware systems).

Title: VES for Human-robot Collaboration – Understanding, Communication, and Trust between Humans and Robots

Yunbo Zhang, Rochester Institute of Technology
Marco Rossoni, Politecnico Milano

Description: Modern manufacturing systems are expected to evolve into highly automated and intelligent systems for handling complex tasks. However, certain manual operations persist on the shop floor that are either impractical or unattainable without human involvement. Industry 5.0 has emerged as a practical approach that complements the existing Industry 4.0 paradigm by emphasizing the transition toward sustainable, human-centric, and resilient manufacturing. Human-robot collaboration (HRC) is considered pivotal in this transition, wherein robots collaborate with human partners to automate physically demanding tasks and integrate humans' high-level cognition and decision-making. Unfortunately, current HRC methods have seen limited deployment in industries, facing challenges related to understanding, communication, building trust between humans and robots, effective interfaces, task division, allocation, and optimization. There are several specific research questions to ask: How should the interfaces and interactions be designed to support human operators in communicating with robots effectively, efficiently, and intuitively? How should trust between humans and robots be built and the safety of humans be ensured? How should human operators' high-level decision-making ability be leveraged to improve the efficiency and flexibility of the HRC? How should Artificial Intelligence (AI) be designed to improve robots' cognitive abilities so that they are able to understand human operators' intentions and learn from human partners?

Objectives: The objective of this panel is to bring together a group of experts in robotics, manufacturing, computer science, ergonomics and human factors, human-computer interaction, social sciences in engineering, and digital technologies for a cross-disciplinary discussion on the past, present, and future of Human-robot Collaboration in virtual environments, with an emphasis on understanding, communication, and trust. The panel discussion will explore: The panel discussion will explore: (1) where we stand in HRC research regarding understanding, communication, and trust between humans and robots; (2) what the challenges are and what the potential key enablers might be; (3) what intellectual challenges lie ahead; and (4) what steps we, as researchers, should take to investigate this exciting avenue.


Dr. Yunbo "WILL" Zhang, Rochester Institute of Technology
Professor Chih-Hsing Chu, National Tsing Hua University

Description: "Human-robot collaboration (HRC) is considered a pivotal element of Industry 4.0 and 5.0, wherein robots work alongside human partners to automate repetitive, physically demanding tasks and replace humans in hazardous or extreme working environments. Unfortunately, existing HRC methods mostly remain in laboratories and have not been extensively deployed in industries. They face challenges related to understanding, communication, and trust between humans and robots, effective interactions and interfaces, integration of robots with human cognition, task division, allocation, and optimization, as well as environmental sensing and perception and ensuring safety. This special session will invite papers accepted to the JCISE special issue on "Human-Robot Collaboration in Industry 5.0." This special issue of JCISE seeks to explore and compile the forefront of research and innovation in HRC within the context of Industry 5.0. We welcome contributions that present state-of-the-art methodologies, tools, systems, models, and case studies aimed at facilitating the advancement and realization of HRC in the foreseeable future.