Rate My Professor Lei Wu

Stevens Institute of Technology

5.0

2 reviews · out of 5

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Ratings & reviews

5.08/20/2025

Always positive, enthusiastic, and supportive.

5.04/30/2025

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About Lei

Lei Wu is the Anson Wood Burchard Chair Professor in the Department of Electrical and Computer Engineering at Stevens Institute of Technology, a position held since September 2020 with the chair appointment since June 2022. He previously served as Professor in the Electrical and Computer Engineering Department at Clarkson University until 2018, Associate Professor at Stevens Institute of Technology from January 2019 to August 2020, and Senior Research Associate at the Robert W. Galvin Center for Electricity Innovation at the Illinois Institute of Technology from 2008 to 2010. He also worked as a summer Visiting Faculty at the New York Independent System Operator in 2012. Dr. Wu received his Ph.D. in Electrical Engineering from the Illinois Institute of Technology in 2008, M.S. in Electrical Engineering from Xi'an Jiaotong University in 2004, and B.S. in Electrical Engineering from Xi'an Jiaotong University in 2001.

Dr. Wu's research specializations encompass optimization and statistical analysis applied to power system operations and electricity markets, public policy and technical issues associated with electricity transmission and distribution under market restructuring, economic implications of integrating renewables, and co-optimization of critical interdependent infrastructures. He authored the book Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch (Springer, 2023) and contributed book chapters such as "Small Resource Integration Challenges for Large-Scale SCUC" (Springer, 2018) and "Transportation and Power Grid in Smart Cities: Communication Networks and Services" (John Wiley, 2018). Key journal publications include "On Theoretical Stability Proof and Stability Margin Analysis of Enhanced Droop-Free Control Schemes for Islanded Microgrids" (IEEE Transactions on Industrial Informatics, 2026), "A Carryover Storage Quantification Framework for Medium-Term Cascaded Hydropower Planning: A Portland General Electric System Study" (IEEE Transactions on Sustainable Energy, 2025), "A Cost-Effective Online Dynamic Scheduling Method for Communication Services in Large-Scale Software-Defined Virtual Power Plants" (IEEE Transactions on Smart Grid, 2025), and "A Data-and-Model-Driven Acceleration Approach for Large-Scale Network-Constrained Unit Commitment Problem With Uncertainty" (IEEE Transactions on Sustainable Energy, 2025). His scholarly impact is evidenced by over 17,000 citations. Dr. Wu is an IEEE Fellow (2022) for contributions to stochastic modeling and optimization of power systems and large interdependent infrastructures, recipient of the NSF CAREER Award (2013), Jess H. Davis Memorial Award for Research Excellence (2020), IBM Smarter Planet Faculty Innovation Award (2011), Stevens 2023 Award for Research Excellence, and 2022 Research Excellence Award. He serves as Editor for Cyber-Physical Energy Systems, IEEE Transactions on Smart Grid, CSEE Journal of Power and Energy Systems, and IEEE Power Engineering Letters, and Senior Editor for IEEE Access. Institutionally, he is a member of the Robert Crooks Stanley Fellowship Review Committee, ECE Graduate Committee, and ECE Faculty Advisory Council. His funded projects include NSF grants for ocean energy technologies and smart grid uncertainty quantification, DOE/PNNL for distributed energy resources integration, and U.S. Department of Defense for microgrid control.