Zefan Tang is currently a Senior Data Scientist at Eversource Energy. He received a Ph.D. degree in Electrical Engineering from Stony Brook University in 2021, an M.S. degree in Electrical and Computer Engineering from Shanghai Jiao Tong University in 2017, and a B.S. degree in Mechanical Engineering and Automation from Zhejiang University in 2014. From 2021 to 2022, he was a Postdoctoral Researcher in the Interdisciplinary Science Department at Brookhaven National Laboratory.

At Eversource, Dr. Tang’s work focuses on machine learning and data science applications within the electric utility industry. Since joining the company, he has led efforts in AI-based transmission and distribution inspections, leveraging computer vision to detect various assets and defects in drone- and ground-captured images and videos.

Dr. Tang has received several awards, including the Finalist of 2025 UAI Best Utility Analytics Professional Award, the First Place in the 2024 CIGRE Next Generation Network Paper Competition, the Best Paper Award at the 2020 IEEE Power and Energy Society General Meeting, the Outstanding Reviewer Award for IEEE Transactions on Power Systems in 2018, and the Best Presentation Recognition at the 2015 IECON.