Shengyi Wang

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

UA Little Rock

Also affiliated: University of Science and Technology of China (2025); Åbo Akademi University (2025); University of Leeds (2012); Shanghai Medical College of Fudan University (2025); Southwest University (2026); Jilin Normal University (2024); University of Illinois Urbana-Champaign (2024–2025); Hohai University (2007); National University of Singapore (2015–2019); Clarkson University (2018); Chinese Academy of Sciences (2025); Princeton University (2023–2026); Peking University (2009–2010); Shanghai University of Electric Power (2016); Fudan University (2025); University of Arkansas System (2025); First Affiliated Hospital of Wenzhou Medical University (2025); Hefei Institutes of Physical Science (2025); Yale-NUS College (2015); Heriot-Watt University (2026); Beijing University of Technology (2023); Global Energy Interconnection Research Institute North America (2020); Shanghai FRP Research Institute (China) (2026); Eye & ENT Hospital of Fudan University (2025); State Key Laboratory of Medical Neurobiology (2025); Shanghai Qi Zhi Institute (2026); Tsinghua Shenzhen International Graduate School (2024); State Grid Shandong Electric Power Company (China) (2017); Frontiers Center for Brain Science of the Ministry of Education (2025); Huazhong University of Science and Technology (2020–2021); Beihang University (2012); Temple University (2018–2025); Tsinghua University (2024)

13 h-index 68 pubs 1,113 cited

Research Areas

Links

ORCID Lab Website

OverviewAI-generated summary

Shengyi Wang's research focuses on the optimization of energy systems and manufacturing processes, with a strong emphasis on machine learning applications. His work includes developing advanced algorithms for the real-time voltage regulation of unbalanced low-voltage networks that incorporate significant photovoltaic penetration, and optimizing energy storage systems through deep reinforcement learning. Wang also investigates methods for improving selective laser melting (SLM) processes, such as in-situ porosity classification using coaxial monitoring and image processing, and multi-objective process parameter optimization using ensemble metamodels. His research extends to state-of-charge estimation for lithium-ion batteries using quantum-inspired optimization techniques and exploring learning models for electric power grids, including stochastic synchronous learning for electric vehicle aggregators. Wang has authored or co-authored 67 publications, accumulating over 1,020 citations, and holds an h-index of 13.

Metrics

h-index: 13
Publications: 68
Citations: 1,113

Positions

Assistant Professor 2025–present

University of Arkansas at Little Rock School of Engineering and Engineering Technology ORCID

Selected Publications

Cascaded Learning of Grid-to-Graph Embeddings for Voltage Area Partition in Inaccurate Multiphase Distribution Networks (2025)

DOI OpenAlex
Online Hierarchical Aggregate Power Flexibility Characterization of EV Charging Stations With Disaggregation Feasibility Guarantee (2025)

IEEE Transactions on Transportation Electrification 4 citations DOI OpenAlex