IHSI 2019 - Call for Papers


Keynote Address

Adaptive Cyber-Physical-Human Systems: A 21st Century Perspective

Keynote Speaker:

Professor Azad M. Madni
Executive Director, University of Southern California
United States

Date: February 8, 2019 - 16:30-18:00, Room: Indigo Ballroom A (First Level)

About the speaker:

Dr. Azad Madni is the Executive Director of University of Southern California’s Systems Architecting and Engineering Program, and a Professor of Astronautics in USC’s Viterbi School of Engineering. He has a courtesy appointment in USC’s Keck School of Medicine and Rossier School of education. He is the founder and CEO of Intelligent Systems Technology Inc., a high-tech R&D company specializing in advancing the state-of-the-art in intelligent systems engineering using cross-disciplinary approaches. He received his BS, MS, and PhD degrees in Engineering from UCLA. His research on intelligent systems, human-systems integration, and integration of humans with adaptive systems has been sponsored by DoD, aerospace and automotive companies. His research sponsors include DOD-SERC, DARPA, OSD, MDA, AFOSR, AFRL, ONR, NAVAIR, NAVSEA, SPAWAR, MARCOR, ARL, RDECOM, DTRA, DOE, DOT, NIST, NASA, Boeing, General Motors, Raytheon, Northrop Grumman, Orincon, and SAIC. He has received numerous awards and honors including the 2011 INCOSE Pioneer Award. He is an elected Fellow of IEEE (Life), AIAA, INCOSE, AAAS, IETE (Life), and SDPS (Life). In 2016, Boeing honored him with a Lifetime Achievement Award and a Visionary Systems Engineering Leadership Award for his impact on Boeing, the aerospace industry and the nation. He is the author of Transdisciplinary Systems Engineering: Exploiting Convergence in a Hyper-Connected World (Springer 2018), and co-author of Tradeoff Decisions in System Design (Springer 2016). He is the co-Editor-in-Chief of two books, “Engineered Resilient Systems: Challenges and Opportunities in the 21st Century,” Procedia Computer Science 28 (Elsevier, 2014), and Disciplinary Convergence in Systems Engineering Research (Springer, 2018). He is the co-founder and Chair of the award-winning IEEE SMC Technical Committee on Model Based Systems Engineering. He has served as organizer and General Chair of the Conference on Systems Engineering Research (CSER) since 2008. His research interests include intelligent cyber-physical-human systems, formal methods for complex systems engineering, autonomous systems, model-based systems engineering, and interactive model-driven storytelling for engineering complex systems and system-of-systems.


The 21st century has seen the emergence of a special class of tightly coupled intelligent human-machine systems that the DoD has labeled “next generation adaptive cyber-physical-human systems.” My talk will introduce this exciting new class of human-machine systems, the research challenges it poses, and ongoing research in this area. Examples of adaptive cyber-physical-human systems range from very small systems such as medical devices to larger systems such as self-driving cars and unmanned aerial vehicles to very large systems such as smart manufacturing, smart buildings and autonomous systems networks. Adaptive cyber-physical-human systems are a class of safety-critical socio-technical systems in which interactions between the physical system and cyber elements that control its operation are influenced by human agents and need to respond to both systemic and external disruptions. These systems are introducing new challenges in intelligent human-systems integration that cannot be effectively addressed by current methods and tools. These challenges include tight coupling, complex human-system interaction, the need for maintaining shared context during joint task performance, and the need for bi-directional decision and knowledge support to eliminate human oversight and reduce human error. Developing such systems requires expertise in multiple disciplines such as human factors, cognitive psychology, software engineering, artificial intelligence, machine learning, and intelligent human-systems integration. A real-world example and prototype implementation of such a system will be discussed. The talk will conclude with a vision for transdisciplinary systems engineering that capitalizes on multiple disciplines to address intelligent human-systems integration challenges of the 21st century.