Arezoo Hasankhani
Prof. Arezoo Hasankhani joined the faculty in January 2024 and leads the Energy Control and Optimization (ECO) Lab. Prior to joining the University of New Hampshire, she earned her Ph.D. from Florida Atlantic University and was a postdoctoral scholar at Cornell University.
Her research focuses on energy systems, control, optimization, and power systems. Prof. Hasankhani leads an interdisciplinary research group spanning control, power systems, mechanical design, and ocean engineering, leveraging advanced methods such as reinforcement learning and machine learning to address emerging challenges in energy systems. Her close collaboration with the Ocean Engineering program provides a strong foundation for advancing research in marine energy and supporting applications that contribute to the blue economy.
Courses Taught
- ECE 541: Electric Circuits
- ECE 772/872: Control Systems
- ECE 999: Doctoral Research
- ECE/ME 772/872/772/872: Control Systems
- INCO 590: Student Research Experience
- ME 772/872: Control Systems
- OE 610: Ocean Instrumentation Lab
- OE 999: Doctoral Research
Education
- Ph.D., Electrical Engineering, Fla Atlantic Univ
Research Interests
- Power & Energy Systems Engineering
- Control Engineering
- Optimization
- Ocean and Ocean Energy Systems
Selected Publications
Ewig, G., Hasankhani, A., Won, E., & Haji, M. N. (2025). Marine spatial planning techniques with a case study on wave-powered offshore aquaculture farms. Renewable Energy, 238, 121791. doi:10.1016/j.renene.2024.121791
Hasankhani, A., Tang, Y., & VanZwieten, J. (2023). Integrated path planning and control through proximal policy optimization for a marine current turbine. Applied Ocean Research, 137, 103591. doi:10.1016/j.apor.2023.103591
Hasankhani, A., Ewig, G., McCabe, R., Won, E. T., & Haji, M. (2023). Marine Spatial Planning of a Wave-Powered Offshore Aquaculture Farm in the Northeast U.S. In OCEANS 2023 - Limerick (pp. 1-10). IEEE. doi:10.1109/oceanslimerick52467.2023.10244332
Ondes, E. B., Sultan, C., Hasankhani, A., VanZwieten, J. H., & Xiros, N. I. (2023). ?-gap metric based multi-model predictive control of an ocean current turbine system with blade pitch failures. Ocean Engineering, 278, 114201. doi:10.1016/j.oceaneng.2023.114201
Hasankhani, A., Tang, Y., & VanZwieten, J. (2023). Reinforcement Learning for Underwater Spatiotemporal Path Planning, with Application to an Autonomous Marine Current Turbine. In 2023 American Control Conference (ACC) (pp. 3715-3721). IEEE. doi:10.23919/acc55779.2023.10155898
Hasankhani, A., Tang, Y., VanZwieten, J., & Sultan, C. (2023). Spatiotemporal Optimization for Vertical Path Planning of an Ocean Current Turbine. IEEE Transactions on Control Systems Technology, 31(2), 587-601. doi:10.1109/tcst.2022.3193637
Ali Dashtaki, A., Mehdi Hakimi, S., Arezoo Hasankhani., Derakhshani, G., & Abdi, B. (2023). Optimal management algorithm of microgrid connected to the distribution network considering renewable energy system uncertainties. International Journal of Electrical Power & Energy Systems, 145, 108633. doi:10.1016/j.ijepes.2022.108633
Hasankhani, A., Tang, Y., Snyder, A., VanZwieten, J., & Qiao, W. (2022). Control Co-Design for Buoyancy-Controlled MHK Turbine: A Nested Optimization of Geometry and Spatial-Temporal Path Planning. In 2022 IEEE Conference on Control Technology and Applications (CCTA) (pp. 1159-1165). IEEE. doi:10.1109/ccta49430.2022.9966094
Eghbali, N., Hakimi, S. M., Hasankhani, A., Derakhshan, G., & Abdi, B. (2022). A scenario-based stochastic model for day-ahead energy management of a multi-carrier microgrid considering uncertainty of electric vehicles. Journal of Energy Storage, 52, 104843. doi:10.1016/j.est.2022.104843
Hasankhani, A., Ondes, E. B., Tang, Y., Sultan, C., & Van Zwieten, J. (2022). Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments. In 2022 American Control Conference (ACC) (pp. 3106-3113). IEEE. doi:10.23919/acc53348.2022.9867485
