- Graduate Field Affiliations
- Applied Mathematics
- Civil and Environmental Engineering
- Electrical and Computer Engineering
- Mechanical Engineering
- Systems Engineering
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.
Select Publications
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Dave, A., Bang, H., and Malikopoulos, A.A., “A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems,” IEEE Control Systems Letters, Vol. 8, pp. 1379 –1384, 2024.
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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.
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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.
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Malikopoulos, A.A., “Separation of Learning and Control for Cyber-Physical Systems, ”Automatica, 151, 110912, 2023.
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Malikopoulos, A.A., “On Team Decision Problems with Nonclassical Information Structures,” IEEE Trans. Autom. Control, Vol. 68, 7, pp. 3915–3930, 2022.
Select 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
