Andreas Malikopoulos

Andreas Malikopoulos

Professor
Civil and Environmental Engineering
324 Hollister Hall
(607) 255-4734
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Biography

Andreas Malikopoulos is a Professor in the School of Civil & Environmental Engineering and the Director of the Information and Decision Science Lab at Cornell University. Prior to these appointments, he was the Terri Connor Kelly and John Kelly Career Development Professor in the Department of Mechanical Engineering (2017-2023) and the founding Director of the Sociotechnical Systems Center (2019-2023) at the University of Delaware (UD). Before he joined UD, he was the Alvin M. Weinberg Fellow (2010-2017) in the Energy & Transportation Science Division at Oak Ridge National Laboratory (ORNL), the Deputy Director of the Urban Dynamics Institute (2014-2017) at ORNL, and a Senior Researcher in General Motors Global Research & Development (2008-2010).

Dr. Malikopoulos is the recipient of several prizes and awards, including the 2007 Dare to Dream Opportunity Grant from the University of Michigan Ross School of Business, the 2007 University of Michigan Teaching Fellow, the 2010 Alvin M. Weinberg Fellowship, the 2019 IEEE Intelligent Transportation Systems Young Researcher Award, and the 2020 UD’s College of Engineering Outstanding Junior Faculty Award. He has been selected by the National Academy of Engineering to participate in the 2010 German-American Frontiers of Engineering (FOE) Symposium and organize a session on transportation at the 2016 European-American FOE Symposium. He has also been selected as a 2012 Kavli Frontiers of Science Scholar by the National Academy of Sciences. He is currently an Associate Editor of Automatica and IEEE Transactions on Automatic Control and a Senior Editor in the IEEE Transactions on Intelligent Transportation Systems. He is a Senior Member of the IEEE, a Fellow of the ASME, and a member of the Board of Governors of the IEEE Intelligent Transportation Systems Society.

Research Interests

Andreas’ research interests span several fields, including analysis, optimization, and control of cyber-physical systems (CPS); decentralized stochastic systems; stochastic scheduling and resource allocation; and learning in complex systems. His research aims to develop rigorous theories and data-driven system approaches at the intersection of learning and control for making CPS able to realize their optimal operation while interacting with their environment. The emphasis is on improving energy efficiency and reducing greenhouse gas emissions in applications related to emerging mobility systems (e.g., connected and automated vehicles, electric vehicles, shared mobility) and smart cities, thus contributing to the planet's health.

Teaching Interests

Many of Andreas' activities as a teacher and mentor are governed by his conviction that the key to effective teaching is enthusiasm, both for your subject and for conveying knowledge to your students. In his professional career in industry, National Labs, and academia, Andreas has realized that the only way to learn a subject is through hard work and application of theoretical knowledge to real projects. Students work hard when they are motivated, encouraged when they face adversity, and rewarded for their accomplishments.

Andreas has taught fundamental control courses as well as advanced courses in the areas of stochastic optimal control, game theory, mechanism design, convex optimization, and nonlinear programming. At Cornell, he plans to teach courses on optimal decision-making and team theory along with courses on emerging mobility systems for smart cities.

Selected Publications

  • Dave, A., Bang, H., and Malikopoulos, A.A., “A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems,” IEEE Control Systems Letters (L-CSS), Vol. 8, pp. 1379 –1384, 2024
  • Chremos, I.V. and Malikopoulos, A.A., “Mechanism Design Theory in Control Engineering: A Tutorial and Overview of Applications in Communication, Power Grid, Transportation, and Security Systems”, IEEE Control Systems Magazine, Vol. 44, 1, pp. 20–45, 2024.
  • Malikopoulos, A.A., “On Team Decision Problems with Nonclassical Information Structures,” IEEE Trans. Autom. Control, Vol. 68, 7, pp. 3915–3930, 2023. 
  • Chremos, I.V. and Malikopoulos, A.A., “A Traveler-centric Mobility Game: Efficiency and Stability Under Rationality and Prospect Theory,” PLoS ONE, 18 (5), 2023. 
  • Malikopoulos, A.A., “Separation of Learning and Control for Cyber-Physical Systems,”Automatica, 151, 110912, 2023. 
  • Chalaki, B., Beaver, L. E., Mahbub, A M. I., Bang, H., and Malikopoulos, A.A., “A Research and Educational Robotic Testbed for Real-time Control of Emerging Mobility Systems: From Theory to Scaled Experiments,” IEEE Control Systems Magazine, Vol. 42, 6, pp. 20–34, 2022. 
  • Dave, A., Chremos, I.V., and Malikopoulos, A.A., “Social Media and Misleading Information in a Democracy: A Mechanism Design Approach,” IEEE Trans. Autom. Control, Vol. 67, 5, pp. 2633–2639, 2022. 
  • Mahbub, A M. I., and Malikopoulos, A.A., “A Platoon Formation Framework in a Mixed Traffic Environment,” IEEE Control Systems Letters, 6, pp. 1370–1375, 2022 – IEEE Control Systems Society TC-SC Outstanding Student Paper Prize. 
  • Chalaki, B., and Malikopoulos, A.A., “Optimal Control of Connected and Automated Vehicles at Multiple Adjacent Intersections,” IEEE Trans. on Control Systems Tech., Vol. 30, 3, pp. 972–984, 2022. 
  • Mahbub, A M. I., and Malikopoulos, A.A., “Conditions to Provable System-Wide Optimal Coordination of Connected and Automated Vehicles,” Automatica, 131, 109751, 2021. 
  • Beaver, L. E., and Malikopoulos, A.A., “An Overview on Optimal Flocking,” Annual Reviews in Control, 51, pp. 88–99, 2021. 
  • Malikopoulos, A.A., Beaver, L.E., and Chremos, I.V., “Optimal Time Trajectory and Coordination for Connected and Automated Vehicles,” Automatica, 125, 109469, 2021.
  • Malikopoulos, A.A., Hong, S., Park, B., Lee, J., and Ryu, S., “Optimal Control for Speed Harmonization of Automated Vehicles,” IEEE Trans. Intell. Transp. Syst., 20, 7, pp. 2405–2417, 2019. 
  • Malikopoulos, A.A., Assanis, D.N., and Papalambros, P.Y., “Real-Time, Self-Learning Optimization of Diesel Engine Calibration,” J. Eng. Gas Turbines Power, Vol. 131, 2, pp. 022803–9, 2009. 

Selected Awards and Honors

  • Best Paper Award, IEEE 2nd Annual International Conference on Digital Twins and Parallel Intelligence, 2022 
  • Outstanding Student Paper Prize (as advisor), IEEE Control Systems Society Technical Committee on Smart Cities, 2022  
  • Elected to Board of Governors for 2022-2025, IEEE Intelligent Transportation Systems Society, 2021 
  • Best Student Paper Award – finalist (as advisor), 16th IEEE International Conference on Control & Automation, 2020 
  • University of Delaware’s College of Engineering Outstanding Junior Faculty Award, 2020 
  • IEEE Intelligent Transportation Systems Young Researcher Award, 2019 
  • Terri Connor Kelly and John Kelly Career Development Endowed Chair, 2018 
  • American Society of Mechanical Engineering (ASME) Fellow, 2017 
  • 1st most cited author in IEEE Transactions on Intelligent Transportation Systems, 2017 
  • NAE EU-US Frontiers of Engineering session organizer, 2016 
  • NAS Kavli Frontiers of Science Scholar, 2012 
  • NAE GE-US Frontiers of Engineering participant, 2010 
  • Michigan Teaching Fellow, University of Michigan, 2007 
  • Dare to Dream Opportunity Grant from the Samuel Zell & Robert H. Lurie Institute, University of Michigan Ross School of Business, 2007

Education

  • Ph.D. (Mechanical Engineering) University of Michigan, Ann Arbor, 2008
  • M.S. (Mechanical Engineering) University of Michigan, Ann Arbor, 2004
  • Diploma (Mechanical Engineering) National Technical University of Athens (NTUA), Greece, 2000

Websites