Tuesday Aug 19, 2025, 4:20 pm-6:00 pm
Format:
- Brief intro: 5 minutes
- Lighting presentations: 10 minutes each for 50 minutes total → contribute to the theme Q&A
- Questions from moderator: 20 minutes
- Q&A from the audience: 20 minutes
- Closing remarks: 5 minutes
Panelists

Bradley Rothenberg is the CEO and founder of nTop, an engineering software company based in New York City. Since its founding in 2016, nTop has served the aerospace, defense, automotive, industrial markets with computational design software enabling users to design, test, and iterate faster to deliver some of the world's most advanced products. Bradley has been developing computational design tools for more than 15 years. He studied architecture at Pratt Institute in Brooklyn, New York.

Prof. Faez Ahmed is an Associate Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, where he directs the Design Computation and Digital Engineering (DeCoDE) Lab. His research interests lie at the intersection of Artificial Intelligence and engineering design, focusing particularly on first principle generative AI and optimization algorithms, multi modal representation learning, and engineering design methodology with human–AI design co pilots. Before joining MIT, Prof. Ahmed was a postdoctoral fellow at Northwestern University and earned his Ph.D. in Mechanical Engineering from the University of Maryland. He also spent several years in Australia’s railway and mining sectors, leading data driven predictive maintenance initiatives. Prof. Ahmed has received the AFOSR YIP Award, the NSF CAREER Award, the ASME DTM Young Investigator Award, and the Google Research Scholar Award. At MIT he has held the Doherty, d’Arbeloff, and ABS Career Development Chairs. He currently serves as an Associate Editor for Computer Aided Design and as the Featured Articles Editor for the ASME Journal of Mechanical Design.

Leah Chong is an assistant professor in the Walker Department of Mechanical Engineering at the University of Texas (UT) at Austin. Prior to UT, she was a postdoctoral associate at Massachusetts Institute of Technology and received her PhD and MS degrees at Carnegie Mellon University and BS degree at Rice University, all in Mechanical Engineering. Her research focuses on human-AI collaboration in engineering design and human-centered engineering design, using a combination of quantitative and qualitative research methods. She is interested in understanding how the integration of computational tools/agents in the engineering design process affects the way designers think, feel, and make decisions, as well as exploring opportunities for complementary partnership between human designers and AI to enable effective and human-centered design. Some ongoing topics of research include: AI-assisted decision-making, qualitative design with AI, and artificial empathy. She has been recognized for her contributions to research through ASME DTM Best Paper Awards and CMU's Milton Shaw Ph.D. Research Award and Presidential Fellowship.

Vinayak Krishnamurthy is an Associate Professor in the J. Mike Walker’66 Department of Mechanical Engineering and an affiliated faculty in the Department of Computer Science at Texas A&M University. He currently holds the J. Mike Walker '66 Career Development Professorship at Texas A&M. He earned his Ph.D. in 2015 from the School of Mechanical Engineering at Purdue University and joined Texas A&M in Fall 2016. Krishnamurthy currently directs the Mixed-Initiative Design Lab (MIDL) at Texas A&M University. His research is at the interface of geometric & topological computing, human-computer interaction, and artificial intelligence. He applies the knowledge gained in these areas to various domains such as metamaterial design, extended reality for design, computational fabrication, data-driven design, collaborative design, autonomous systems, surgical training, and engineering education. His dissertation research led to the commercial deployment of zPots, a virtual pottery app using Leap Motion controller in collaboration with zeroUI, a California-based startup. He is the recipient of multiple awards including the NSF CAREER award, ASME CIE Young Engineer Award, 2024 ASME Rising Stars of Mechanical Engineering award, and three best paper awards at the ASME IDETC/CIE conferences. He is also the recipient of the Peggy L. and Charles L. Brittan Teaching Award for Outstanding Undergraduate Teaching and the TAMU Association of Former Students College Level Teaching Award at Texas A&M.

Ye Wang is an entrepreneur, research scientist, and engineer, and the founder of EverCurrent — an AI-native platform that serves as the connective layer for hardware and manufacturing teams. Her work focuses on enabling workflows where humans and AI collaborate by default, helping teams capture tacit knowledge, surface critical context, and build with clarity. Previously, she was a Senior Principal Research Scientist at Autodesk, where she led pioneering efforts in generative AI for design, including collaborations with major industry partners such as Kia, where she explored how generative systems could support early-stage automotive design and augment human creativity. Her earlier contributions include shaping tools like Onshape, the first cloud-native version-controlled CAD platform, and Join, a platform for collaborative project delivery in the architecture and construction industry. Ye began her research career at MIT, where she worked on advanced manufacturing and generative design — a foundation that continues to inform her hybrid approach to building impactful tools that bridge research and real-world application.
Moderator

Dr. Zhenghui Sha is an Associate Professor in the Walker Department of Mechanical Engineering at the University of Texas (UT) at Austin. Dr. Sha received a Ph.D. in Mechanical Engineering from Purdue University. Dr. Sha's research focuses on system science and design science as well as the intersection between these two areas. His research projects span across design theory, AI for design, human-machine interaction, swarm manufacturing, and complex sociotechnical systems. Dr. Sha is a Walker Scholar in UT ME. He received the 2022 Young Engineering Award (YEA) and the 2017 Best Dissertation of the Year Award from the ASME CIE Division. He was the recipient of the 2023 ASME Journal of Mechanical Design (JMD) Editor’s Choice with Honorable Mention. He served as the Chair of the ASME SEIKM Technical Committee and the Chair of the ASME AI and Machine Learning Technical Committee. He has been serving on the Executive Committee of the ASME Design Automation Conference (DAC) since 2024.