Professor of Mechanical Engineering at the University of Washington in Seattle, USA

Dr. Steven L. Brunton is a Professor of Mechanical Engineering at the University of Washington. He is also Adjunct Professor of Applied Mathematics, Aeronautics and astronautics, and Computer science, and he is also a Data Science Fellow at the eScience Institute. He is Director of the AI Center for Dynamics and Control (ACDC) at UW and is Director for the NSF AI Institute in Dynamic Systems. Steve received the B.S. in mathematics from Caltech in 2006 and the Ph.D. in mechanical and aerospace engineering from Princeton in 2012. His research combines machine learning with dynamical systems to model and control systems in fluid dynamics, biolocomotion, optics, energy systems, and manufacturing. He received the Army and Air Force Young Investigator Program (YIP) awards and the Presidential Early Career Award for Scientists and Engineers (PECASE). Steve is also passionate about teaching math to engineers as co-author of four textbooks and through his popular YouTube channel, under the moniker “eigensteve”.

Associate Professor of Mechanical Engineering at the University of Wisconsin-Madison, USA

Dr. Pavana Prabhakar is the Charles G. Salmon Associate Professor in Mechanical Engineering and Civil and Environmental Engineering at the University of Wisconsin-Madison, where she leads the Manufacturing and Mechanics Lab (MaMeL). She received her PhD in Aerospace Engineering from the University of Michigan, Ann Arbor, in 2013, an MS in Civil and Environmental Engineering from the University of California, Berkeley in 2007, and a BTech in Civil Engineering from the National Institute of Technology Karnataka, India. Her research interests are in mechanics and advanced manufacturing of architected composite materials, with an emphasis on damage and failure in multi-physics environments. Prabhakar has received numerous awards, including a Fulbright U.S. Scholarship, NSF CAREER Award, the ONR Young Investigator Program (ONR-YIP) Award, and the AFOSR Young Investigator Program (AFOSR-YIP) Award. She also received the 2019 American Society for Composites Young Composites Researcher Award. She is an Associate Editor for Composites Part B: Engineering and serves on the Editorial Board of Composites Science and Technology journals. For more information, see the Prabhakar Research Group website.

Professor of Materials Engineering at the University of British Columbia, Canada

Dr. Anoush Poursartip is a UBC Materials Engineering Professor, where he leads the Boeing and Toray funded Composites Research Network, focused on digitalization research as the judicious integration of physics-based simulation, ML/AI, statistics, sensors, and automation, in a coherent manner across the lifecycle of products.  Also, he is Director of Research at Convergent Manufacturing Technologies, which provides widely accepted and used digital simulation and instrumentation tools, increasingly enhanced by AI, to fuse data and simulation for better decision making in process design and production.  Finally, he is Co-Director of the Composites Knowledge Network, which provides digital knowledge and practice resources, increasingly accessible using AI tools, for lifelong applied composites learning. Poursartip is Fellow of SAMPE, ICCM, CACSMA, and the Canadian Academy of Engineering.

Senior Technical Fellow, Digital Materials, Manufacturing Systems and Simulation, The Boeing Company

Dr. Carla Reynolds is a Senior Technical Fellow of Digital Materials & Manufacturing Systems within the Materials, Processes, and Physics (MP&P) function at Boeing. She sets the technical strategy and direction for digital capabilities across MP&P, leading research and the strategic vision for Boeing’s Manufacturing Digital Ecosystem. She earned a Ph.D. in Physical Chemistry from the University of Colorado Boulder and a Bachelor’s degree in Chemistry from Centre College. Dr. Reynolds’s work sits at the intersection of software development, data analytics, manufacturing, and materials science, and she has been recognized by the St. Louis chapter of the Academy of Science and by the National Academy of Engineering for her innovation and contributions to the field.

Associate Professor of Electrical and Computer Engineering at the University of British Columbia, Canada

Dr. Julia Rubin is an Associate Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Canada. She is a Canada Research Chair in Trustworthy Software and the lead of the UBC Research Excellence Cluster on Trustworthy ML. Julia received her PhD in Computer Science from the University of Toronto and worked as a postdoctoral researcher in the Computer Science and Artificial Intelligence Lab at MIT. She also spent almost 10 years in industry, working for IBM Research, where she was a research staff member and a research group manager.

Julia’s research interests are in quality, security, and reliability of software and AI systems. Together with her research group, she develops automated solutions for analyzing, auditing, and improving software and AI systems. Her work in these areas was recognized by numerous academic and industrial awards, including Distinguished/Best Paper Awards at major conferences, CS-Canada Outstanding Early Career Computer Science Researcher Award, IBM CAS Project of the Year Award, Killam Faculty Research Fellowship, and Humboldt Foundation Research Fellowship. She serves on program committees of several flagship conferences in software engineering and co-chaired such program committees, including ASE 2022 and ICSE NIER 2025.

 Technical Fellow at Hexcel R&D

Dr. Sanjay Sharma has over two decades of experience in leading integrated computational materials engineering currently working at Hexcel R&D, San Ramon CA. He has been leading multi scale modeling efforts to understand the stochastic material variables’ influencing key composite manufacturing and structure level performance. He is grateful for the collaboration of many talented and skilled professionals throughout his career.