Assistant Professor, PI of AI4PS LAB
Assistant Professor, PI of AI4PS LAB
School of Engineering and Engineering Technology
2801 South University Avenue, EIT 526
University of Arkansas at Little Rock
Email: swang@ualr.edu / shengyi.wang@ieee.org
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Research Interests:
Research Interests:
Artificial Intelligence for Power and Energy Systems
Power System and Data Center Flexibility Aggregation
Virtual Inertia Scheduling and Control for IBR-dominated Power Systems
Data-Driven Optimization Theory and Computational Approaches
News:
News:
[Oct 2025] Congratulations to our team! Our proposals have been awarded Signature Experience Grant funds!
[Sep 2025] Earned a certificate of participation in the Fundamentals of Program Assessment workshop!
[Aug 2025] I am pleased to welcome my first Ph.D. student, Muhammad Rizwan, who has officially joined my lab.
[Jul 2025] Honored to present our work Cost-Aware Inner-Ball Represented Economic Flexibility Characterization for Distribution Systems Under Uncertainties at the 2025 PESGM in Austin—grateful that it was selected as one of the Best Conference Papers!
[Jul 2025] Our paper Cascaded Learning of Grid-to-Graph Embeddings for Voltage Area Partition in Inaccurate Multiphase Distribution Networks accepted by CDC 2025.
[Apr 2025] Our paper Learning-Assisted Aggregate Flexibility Characterization for EV Charging Stations Considering Scheduling Deviation Uncertainty accepted by ITEC 2025.
[Mar 2025] Our paper Bayesian Active Learning-Based Soft Data Space Calibration for System-Wise Aggregate Flexibility Characterization accepted by IEEE Transactions on Smart Grid.
[Oct 2024] Our paper Multi-Factor-Coupled, Ahead-of-Time Aggregation of Power Flexibility Under Forecast Uncertainty accepted by IEEE Transactions on Sustainable Energy.
[Jul 2024] Our paper Neural Spectral Clustering Based Voltage Area Partition of Active Distribution Systems accepted by CDC 2024.
[Jul 2024] Presented a poster at the 2024 PESGM in Seattle.
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