Arezoo Hasankhani

Arezoo Hasankhani

Assistant Professor
Phone: (603) 862-0358
Office: UNH CEPS Electrical & Computer Engineering, Kingsbury Hall, Durham, NH 03824
Websites:
Pronouns: She/her/hers

Prof. Arezoo Hasankhani joined the faculty in January 2024, and she leads the Energy Control and Optimization (ECO) Lab. Prior to joining the faculty at UNH, she received her Ph.D. from Florida Atlantic University, and was a postdoctoral scholar at the Cornell University.<br><br>Prof Hasankhani’s research interests are marine renewable energy systems, autonomous underwater vehicle, design, control co-design, control, and optimization to enhance blue economy – the sustainable use of ocean resources to benefit economies, livelihoods and ocean ecosystem health. Prof. Hasankhani is leading an interdisciplinary group with expertise in control and power to mechanical design and ocean engineering leveraging new methods, e.g., reinforcement learning and machine learning algorithms to address challenges in the ocean energy. Her close collaboration with the ocean engineering program provides an optimal environment for her research endeavors in the marine energy domain.

Courses Taught

  • OE 610: Ocean Instrumentation Lab

Education

  • Ph.D., Electrical Engineering, Fla Atlantic Univ

Research Interests

  • Control Engineering
  • Optimization
  • Renewable Energy Sources
  • 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). ν-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

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