Physical and Spatial AI
Emerging advances in microelectronics, artificial intelligence, and data-driven engineering are redefining the technological foundations of national security and mission-critical systems.
Offered by the USC Viterbi School of Engineering and the USC School of Advanced Computing, this one-day executive education program brings together leading perspectives across semiconductors, spatial AI, hypersonic materials, and autonomous systems to examine how these capabilities are evolving—and what they mean for defense, mobility, and long-term strategic competitiveness.
New Dates for Fall 2026 Coming Soon
Program Overview (Download Brochure)
Through four focused sessions, participants will explore both the technical underpinnings and the strategic implications of these developments. The program provides senior leaders with a clear, cross-domain understanding of how generative AI, probabilistic modeling, and advanced system design are translating into operational advantage, while highlighting pathways to resilient, secure, and scalable AI-enabled systems.
California DREAMS: Microelectronics for Defense, Space, and AI
California DREAMS (CA DREAMS) is a USC-led microelectronics hub advancing domestic prototyping and fabrication capabilities for analog and digital microelectronics. The discussion highlights the hub’s technical capabilities, collaborative operating model, and strategic relevance to defense, space systems, and AI-driven technologies.
Spatial AI for Mobility: From Next-Visit Prediction to Foundation Models
Spatial AI is increasingly challenged to move beyond task-specific mobility analytics toward general-purpose foundation models. Using TrajGPT, a transformer-based model trained via self-supervised learning on large-scale trajectory data, the discussion illustrates how generative models can support multiple downstream mobility intelligence tasks and concludes by examining geospatial objects as a pathway to richer, transferable representations for next-generation Spatial AI systems.
AI-Enabled Inference of Material Interfaces in Hypersonic Environments
A multi-university research effort is advancing generative, probabilistic AI methods to infer material interface behavior in hypersonic environments. As new data from flight tests, laboratory experiments, and high-fidelity material simulations become available, the project addresses the challenge of synthesizing these heterogeneous and uncertain data sources within a unified inference framework, while assessing the relative contribution of each source. It establishes an AI-enabled inference approach for hypersonics that can be extended to other complex engineering systems.
Safe and Effective Autonomy in the Age of AI
Embodied AI–enabled systems, including autonomous vehicles and robotic platforms, are reshaping defense operations across air, ground, and maritime domains. With reduced human oversight, these systems must make reliable decisions under uncertainty, coordinate across distributed teams, and remain resilient in adversarial environments.
The discussion presents a neuro-symbolic approach integrating logic-based reasoning with modern AI to enable trustworthy autonomy. Formal specifications make safety and mission objectives explicit and verifiable, while scalable verification and monitoring provide strong assurances and expose rare failure modes, advancing systems that are safe, reliable, and resilient by design.
Certificate of Participation
All participants will receive a certificate of participation from the USC Viterbi School of Engineering.
Continuing Education Units
If you would like to receive Continuing Education Units (CEUs) for this program, please select that option when registering for the course.
The program offers 0.6 CEUs. To receive CEUs, course participants will complete a knowledge assessment, which will be emailed to you after the program concludes.
Upon successful completion of the knowledge assessment, participants will receive a USC certificate of completion with Continuing Education Units.
Key Benefits and Who Should Attend
Key Benefits
- Focused Strategic Insight: In a single day, gain a clear view of how advances in microelectronics, AI, hypersonics, and autonomy are shaping national security and competitiveness.
- Applied Understanding: Learn how emerging AI methods translate into mission-critical defense and operational capabilities.
- Trust & Resilience Frameworks: Explore practical approaches to safety, verification, and reliable autonomous systems.
- Policy & Investment Context: Strengthen your perspective on technology strategy, acquisition, and long-term innovation priorities.
- Peer Exchange: Connect with senior leaders across government, industry, and research in an intensive executive setting.
Who Should Attend
This program is designed for senior leaders and decision-makers across government, defense and military organizations, industry, academia, and research institutions.
It is particularly relevant for officials and policy advisors focused on national security and technology; technical and program leaders within federal research organizations and national laboratories; executives from semiconductor, artificial intelligence, autonomy, and advanced defense technology companies; as well as think tank scholars, venture investors, and university research leaders.
Faculty Speakers



Dr. Assad Oberai is the Hughes Professor of Aerospace and Mechanical Engineering in the Viterbi School of Engineering. He earned a Bachelor of Engineering degree from Osmania University (1992), an MS from the University of Colorado (1994), and a PhD from Stanford University (1998) all in Mechanical Engineering. He has held academic appointments at Boston University (2001-2005), Rensselaer Polytechnic Institute (RPI, 2006 -2017) and the University of Southern California (USC, 2018-now) At RPI, he was the Associate Dean for Research and Graduate Studies in the School of Engineering, and the Associate Director of the Scientific Computation Research Center. At USC, he was the interim Vice Dean for Research in the Viterbi School of Engineering from 2019 to 2021.
Dr. Oberai leads the Computation and Data Driven Discovery (CD3) group which designs, implements and applies data- and physics-based models and algorithms to solve problems in engineering and science. Problems such as better detection, diagnosis and care of diseases like cancer, understanding the role of mechanics and physics in medicine and biology, modeling the evolution of multi-physics and multiscale systems, and reduced-order models for aerospace and mechanical systems. He has authored more than 140 articles in archival journals on these topics. He is on the board of academic editors for three journals.
Dr. Oberai is a Fellow of the American Academy of Mechanics (2023), American Society of Mechanical Engineers (ASME, 2020), the American Institute of Medical and Biological Engineering (AIMBE, 2016), and the United States Association of Computational Mechanics (USACM, 2015). In 2015, he was awarded the Research Excellence Award by the School of Engineering at Rensselaer. He received the Humboldt Foundation Award for experienced researchers in 2009, and the Erasmus Mundus Master Course Lectureship at Universidad Politécnica de Cataluña, Barcelona in 2010. He was awarded the Thomas J.R. Hughes Young Investigator Award for his contributions to Applied Mechanics by the ASME in 2007. He is a recipient of the National Science Foundation Career award in 2005 and the Department of Energy Early Career award in 2004.

Dr. Cyrus Shahabi is a Professor of Computer Science, Electrical Engineering and Spatial Sciences, and the chair of the Computer Science Department. He is also the Director of the Integrated Media Systems Center (IMSC) and the Informatics Program at USC’s Viterbi School of Engineering. He was the CTO and co-founder of a USC spin-off, Geosemble Technologies, which was acquired in July 2012. Since then, he founded another company, ClearPath (recently rebranded as TallyGo), focusing on predictive path-planning for car navigation systems. He received his B.S. in Computer Engineering from Sharif University of Technology in 1989 and then his M.S. and Ph.D. Degrees in Computer Science from the University of Southern California in May 1993 and August 1996, respectively. He authored two books and more than three hundred research papers in databases, GIS and multimedia with more than 12 US Patents.
Dr. Shahabi has received funding from several agencies such as NSF, NIJ, NASA, NIH, DARPA, AFRL, and DHS as well as several industries such as Chevron, Google, HP, Intel, Microsoft, NCR, NGC and Oracle. He was an Associate Editor of IEEE Transactions on Parallel and Distributed Systems (TPDS) from 2004 to 2009, IEEE Transactions on Knowledge and Data Engineering (TKDE) from 2010-2013 and VLDB Journal from 2009-2015. He is currently the chair of ACM SIGSPATIAL for the 2017-2020 term and also on the editorial board of the ACM Transactions on Spatial Algorithms and Systems (TSAS) and ACM Computers in Entertainment. He is the founding chair of IEEE NetDB workshop and also the general co-chair of SSTD’15, ACM GIS 2007, 2008 and 2009. He chaired the nomination committee of ACM SIGSPATIAL for the 2011-2014 terms. He is a PC co-Chair of APWeb+WAIM’2017 and the PhD workshop of ICDE 2018. In the past, he has been PC co-chair of several conferences such as BigComp’2016, MDM’2016, DASFAA 2015, IEEE MDM 2013 and IEEE BigData 2013, and regularly serves on the program committee of major conferences such as VLDB, SIGMOD, IEEE ICDE, ACM SIGKDD, IEEE ICDM, and ACM Multimedia.
Dr. Shahabi is a fellow of IEEE, and a recipient of the ACM Distinguished Scientist award in 2009, the 2003 U.S. Presidential Early Career Awards for Scientists and Engineers (PECASE), the NSF CAREER award in 2002, and the 2001 Okawa Foundation Research Grant for Information and Telecommunications. He was also a recipient of the US Vietnam Education Foundation (VEF) faculty fellowship award in 2011 and 2012, an organizer of the 2011 National Academy of Engineering “Japan-America Frontiers of Engineering” program, an invited speaker in the 2010 National Research Council (of the National Academies) Committee on New Research Directions for the National Geospatial-Intelligence Agency, and a participant in the 2005 National Academy of Engineering “Frontiers of Engineering” program.

Dr. Gaurav S. Sukhatme is Professor of Computer Science and Electrical and Computer Engineering at the University of Southern California (USC) and an Amazon Scholar. He is the Director of the USC School of Advanced Computing and the Executive Vice Dean of the USC Viterbi School of Engineering. He holds the Donald M. Aldstadt Chair in Advanced Computing at USC. He was the Chairman of the USC Computer Science department from 2012-17. He received his undergraduate education in computer science and engineering at IIT Bombay and his M.S. and Ph.D. degrees in computer science from USC.
Sukhatme is the co-director of the USC Robotics Research Laboratory and the USC Robotic Embedded Systems Laboratory director. His research interests are in networked robots, learning robots, and field robotics. He has published extensively in these and related areas. Sukhatme has served as PI on numerous NSF, DARPA, and NASA grants. He was a Co-PI on the Center for Embedded Networked Sensing (CENS), an NSF Science and Technology Center. He is a Fellow of the AAAS, AAAI, and the IEEE, a recipient of the NSF CAREER award, the Okawa Foundation research award, and an Amazon research award. He is one of the founders of the Robotics: Science and Systems conference. He was the program chair of the 2008 IEEE International Conference on Robotics and Automation and the 2011 IEEE/RSJ International Conference on Robots and Systems. He is currently the Editor-in-Chief of Autonomous Robots (Springer Nature) and has served in the past as Associate Editor of the IEEE Transactions on Robotics and Automation, the IEEE Transactions on Mobile Computing, and on the editorial board of IEEE Pervasive Computing.
Contact Us
For questions regarding program details, registration, and payments, please contact:
Karen Escobar (kyescoba@usc.edu); Program Administrator
Candace House Teixeira (housec@usc.edu); Associate Dean of Corporate Engagement and Programs

