Hantao Cui

Hantao Cui is an Associate Professor of Electrical and Computer Engineering at North Carolina State University. Prior to joining NC State, he was an Assistant Professor at Oklahoma State University from 2021 to 2024. He earned his Ph.D. in Electrical Engineering from the University of Tennessee, Knoxville (2018), following his M.S. (2013) and B.S. (2011) in the same field from Southeast University, China. He is the author of ANDES for power systems modeling and analysis, and a recipient of the NSF CAREER Award. Previously, he served as the Chief Technologist of the CURENT Large-Scale Testbed (LTB), a winner of the 2020 R&D 100 Awards. He is the Chair of the IEEE PES Computer and Analytical Methods Subcommittee (CAMS) and has been an Associate Editor of the Journal of Modern Power Systems and Clean Energy since 2019. He is a Senior Member of the IEEE.

Dr. Cui leads the Power CyberInfrastructure (PowerCI) Lab at NC State with a vision of a secure, resilient, and sustainable future power grid through advanced computational methods and cyber-physical system integration. The lab distinguishes itself through open science, developing next-generation computational infrastructure and analytical tools for power systems. This commitment is demonstrated through widely-used open-source tools like ANDES and training materials like PowerCyber Training to serve the broader power systems community.

The PowerCI Lab welcomes students and researchers who are passionate about power systems and computational methods, particularly those interested in both theoretical foundations and practical implementations. To learn more about who we are, what we do, and how to join our lab, please visit our group page.

Dr. Cui actively seeks industry partnerships with utility companies, renewable energy developers, and technology firms for grid modernization. His lab brings comprehensive expertise in industry-standard power system software (PSS/E, PowerWorld, PSCAD, EMTP, OPAL-RT, OpenDSS) and programming languages (Python, C++, Julia), and data analytics tools. The lab specializes in developing and deploying computational solutions that address real-world grid challenges.