Andreas Malikopoulos is recognized for his work in several fields, including analysis, optimization, and control of cyber-physical systems; decentralized stochastic systems; stochastic scheduling and resource allocation; and learning in complex systems. He has made seminal contributions towards making cyber physical systems able to learn how to improve their performance over time while interacting with their environment. He was elected an ASME Fellow for his pioneering contributions to self-learning powertrain control work that changed the perception of how vehicles are optimized today.
He leads the new Sociotechnical Systems Center, a collaborative and interdisciplinary community at the University of Delaware with shared research interests and goals in addressing complex sociotechnical systems challenges. He created a unique testbed, UD’s Scaled Smart City, which includes 35 robotic cars and 10 drones that can replicate real-world traffic scenarios in a small and controlled environment.
Andreas Malikopoulos has demonstrated leadership toward enhancing our understanding of the potential benefits of emerging mobility systems. He has organized several international workshops and symposia in which he brought together leaders from government, industry, and academia to discuss what innovations are needed and identify the road for future energy-efficient mobility systems.
In 2019, he received the IEEE Intelligent Transportation Systems Young Researcher Award.
More details can be found here.