John Park Bio

I am an associate professor in the Engineering Management and Systems Engineering Department at Old Dominion University. My research focused on actively quantifying uncertainty reduction to empower computationally efficient artificial intelligence (AI) capable of operating in real-time. Funded by National Science Foundation (NSF) Information and Intelligent Systems program and NASA’s Jet Propulsion Laboratory, the adaptable AI has been successfully applied to digital twin of Hurricane and Mars autonomy. I have developed decentralized digital twin of complex dynamical systems, which integrates on-demand multimodal sensors. The next-generation AI combines ensemble prior physics and posterior belief with the main objective maximizing the sum of utilities along the path while saving energy constrained by a strong wind field in tropical cyclones and multiagent Mars autonomy, earning me four patents.

Data-driven Adaptive AI for Multiagent Autonomy

Mixed Entropy Adaptive Autonomy
UAS-based Hurricane Sensing Presentation


Vulnerable Multimodal Users Mobility

EV Dynamic Wireless Mobile Charging

Distributed Heterogeneous Autonomous Task Allocation