Philip Odonkor is an assistant professor in the School of Systems and Enterprises at the Stevens Institute of Technology. Dr. Odonkor earned his doctorate in mechanical engineering at the University at Buffalo (SUNY), where his research focused on energy optimization in net-zero energy building clusters. He followed this with a doctoral research internship with Hitachi Big Data Labs, where his research focused on optimizing industrial applications using deep reinforcement learning. His research interests lie in developing and utilizing data-driven methodologies to enable efficient and sustainable energy use within built environments, with the goal of enabling smart cities. Dr. Odonkor is a 2019 SUNY Chancellor's Award recipient. His research has been featured by the Journal of Mechanical Design and earned him the Dean's Graduate Achievement Award in the School of Engineering and Applied Sciences at the University at Buffalo.
- Served on Institute Curriculum Committee (ICC) Adhoc for Gen Ed Member
- Served on the Institute Curriculum Committee (ICC) Member
- Undergraduate Academic Ambassador Member
- SSE Graduate Student Awards Member
- "Ask a Professor" Series Member
- Business School - Candidate Interview Member
- Graduate Open House: School of System and Enterprises Member
- SSE PhD Seminar Series Member
- Department of Energy Grant Reviewer
- Swarm and Evolutionary Computation - Journal Reviewer
Assistant Professor, School of Systems and Enterprises (Jan. 2019 - Present), Stevens Institute of Technology, Hoboken, NJ
- ASME – American Society of Mechanical Engineers Member
Odonkor, P., Lewis, K., 2019, “Data-Driven Design of Control Strategies for Distributed Energy Systems”, ASME Journal of Mechanical Design
Odonkor, P., Ball, Z. and Chowdhury, S., 2019. Distributed operation of collaborating unmanned aerial vehicles for time-sensitive oil spill mapping. Swarm and Evolutionary Computation, 46, pp.52-68.
Odonkor, P., Lewis, K., 2018, “Automated Design of Energy Efficient Control Strategies for Building Clusters Using Reinforcement Learning”, ASME Journal of Mechanical Design, 141(2):021704-021704-9.doi:10.1115/1.4041629.
Odonkor, P., Lewis, K., Wen, J. and Wu, T., 2016. Adaptive energy optimization toward net-zero energy building clusters. ASME Journal of Mechanical Design, 138(6).
Odonkor, P., Lewis, K., 2019, August. Designing Optimal Arbitrage Policies for Distributed Energy Systems in Building Clusters Using Reinforcement Learning. In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection.
E 355 - Engineering Economics
EM 301 - Accounting & Business Analysis