Bin Huang
Senior Data Scientist @ Eversource Energy
I am a Senior Data Scientist at Eversource Energy (largest utility in New England), working on data science and AI for electric utilities—including AI and imagery-based distribution inspection, 3D scanning and point cloud automation, multimodal AI-assisted compliance checking, and retrieval-augmented generation. I received the Ph.D. in electrical engineering from Dr. Jianhui Wang's group at Southern Methodist University, Dallas, USA (2019–2023), the M.S. from South China University of Technology, China (2016–2019), and the B.S. in hydropower engineering from Huazhong University of Science and Technology, China (2012–2016).
My expertise and interests include:
- Applications of large language models, retrieval-augmented generation (RAG), and computer vision for power system automation
- Substation lifecycle engineering and knowledge preservation
- Operations research and data analytics
- Machine learning, deep learning, and physics-informed methods for power systems
- Reinforcement learning for energy management and storage
I am open to research discussions and collaborations. Feel free to reach out via email!
You can find my full resume here.
🔥 News
2025
2025-07 Invited panel talk at IEEE PES General Meeting, Austin: “Deep Learning Fusion of 2D Images and 3D Point Clouds for Next-Gen Distribution Asset Management” (Demand-side Flexibility and Grid Interaction panel).
2025-04 Invited talk “AI Efforts in Eversource” at Southern Methodist University (by Dr. Jianhui Wang).
2025 Fortnightly PUF Top Innovators in Distributed Energy (2025). Young Editorial Board Member, IET Energy Conversion and Economics (2025–present).
2024
2024-07 Invited talks at IEEE PES GM 2024, Seattle: “Imagery and AI Assisted Distribution Systems Inspection and Storm Restoration” (Industry Experiences with Grid Edge Technologies) and “Evidential Reasoning for Enhanced Node Selection in Power Network Reduction: a Complex Network Perspective.”
2024 UA Week 2024, Chicago: “Predictive Analytics and Vegetation Intelligence.” Review Editor, Editorial Board of Smart Grid Control, Frontiers in Smart Grids (2024–present). IEEE PES AMPS-BPSP Task Force on Foundation Models for Situational Awareness, Computation, and Analysis.
2024-01 Popular Articles at IEEE Transactions on Power Systems (first author). Leadership Member, Utility Analytics Institute Grid Analytics Community.
2023
2023-12 Joined Eversource Energy as Senior Data Scientist, Berlin, U.S. (Data Science and AI for Electric Utilities).
2023-10 Received Ph.D. in electrical engineering from Southern Methodist University (Advisor: Prof. Jianhui Wang, IEEE Fellow). Invited “OpenDSS Tutorial” at SMU (by Dr. Jianhui Wang).
2023-06 Visiting scholar at Brookhaven National Laboratory (Advisors: Dr. Meng Yue, Dr. Tianqiao Zhao). Invited “Introduction to Quantum Computing” at BNL (by Dr. Meng Yue).
2023-05 EPRI visiting (invited by Dr. Ben York), SMU: “Detecting False Data Injection Attacks in Smart Grids Using Quantum Embedding Kernels.”
2023 2023 IEEE Transactions on Power Systems Outstanding Papers (first author). Volunteer, IEEE PES General Meeting 2023, Orlando, U.S.
2022
2022-06–08 Visiting scholar at Brookhaven National Laboratory (Dr. Meng Yue, Dr. Tianqiao Zhao).
2022 Computational Science and Engineering Fellowship (2022–2023, 2023–2024). Highly Cited Papers at Clarivate (top 1%).
2021
2021-11 Stage Manager, eGrid 2021 (IEEE PES & PELS 6th Workshop on the Electronic Grid), virtual.
2021 U.S. DOE project DE-EE0009337: Resilient Community Microgrids (decentralized state estimation, bad data handling, false data injection detection, IEEE 123-node verification).
2020
2020-11 Invited talk at INFORMS Annual Meeting (Energy Efficient Vehicle Sharing Session): “Capacity Scheduling of Battery Storage System for EV Charging and Frequency Regulation: A Proximal Policy Optimization Approach,” virtual.
2020 Paper on deep reinforcement learning for PV-battery storage in IEEE Transactions on Smart Grid. Research assistantship at SMU (2019–2023).
2019
2019-09 Started Ph.D. in electrical engineering at Southern Methodist University (Advisor: Prof. Jianhui Wang).
2019-07 Patent: A probabilistic equivalence modeling method for active distribution networks considering the stochastic nature of new energy sources, China, No. 109687431.
2019 Southwest Research Institute project 15-R6035: battery capacity scheduling and frequency regulation (deep reinforcement learning, PJM RegD). Received M.S. from South China University of Technology.
2018
2018-11 Volunteer, 2018 International Conference on Power System Technology (POWERCON), Guangzhou, China.
2018 Paper in IEEJ Trans. Electr. Electron. Eng. (Ward equivalent for static security analysis). Guizhou Power Grid Corp. project: hierarchical reactive power optimization, network reduction (Ward/REI, 10,000+ buses).
2016–2013
2016 B.S. in hydropower engineering, Huazhong University of Science and Technology. Outstanding Graduate (2016).
2014 Pan Jia Zheng Hydropower Scholarship.
2013 China National Scholarship.