Team 

Sungjoo Chung (23 Spring - Present)

22' BS in Electrical Engineering, the University of Illinois Urbana-Champaign (UIUC), IL, U.S. 

Research Interest: Physics-informed machine learning for power system operation, optimization, and cybersecurity, black-box inverter-based resource modeling and control

Selective Awards: Best Paper award at the 2024 IEEE Power and Energy Society (PES) General Meeting, Dr. Ramakumar Family Energy Scholarship, 2024 IEEE PESGM Best Poster Prize, 2025 OSU College of Engineering Dean’s Outstanding Graduate Student Award  

Selective Publication: Knowledge-Inspired Data-Aided Robust Power Flow in Distribution Networks with ZIP Loads and High DER Penetration, IEEE Trans. Industrial Applications, vol. 61, no. 1, pp. 1523-1532, Jan.-Feb. 2025

Internship: Brookhaven National Laboratory 

Yuanshuo Zhang (24 Spring - Present)

23' MS in Electrical Engineering, the Chinese University of Hong Kong (CUHK), Hong Kong, China.

Research Interest: Deep learning and data analytics for distribution system situational awareness and weather responsiveness

Selective Awards: First Prize in the National Mathematical Competition, Dr. Ramakumar Family Energy Scholarship 

Selective Publication: Weather-Dependent Power Flow in Distribution Systems under Extreme Weather: Case Study and Risk Assessment in Wildfire Scenarios, in 2025 IEEE PES General Meeting, Austin, TX, pp. 1-5

Zaid Ibn Mahmood (21 Fall - Present, Co-advised with Dr. Hantao Cui)

18' BS in Electrical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. 

24' MS in Electrical Engineering, Oklahoma State University, OK, U.S.

Research Interest: Operation and control of inverter-based resources, power system stability, inertia estimation, deep reinforcement learning

Selective Awards: Martin Family Foundation Scholarship, Dr. Ramakumar Family Energy Scholarship, 2025 OSU Graduate Research Excellence Award, 2025 IEEE PESGM Best Poster. 

Selective Publication: Evaluating the Equivalent Inertia of Grid-Following and Grid-Forming Inverter-Based Resources, IEEE Transactions on Energy Conversion, 2024. 

Internship: Pacific Northwest National Laboratory 

Jiahao Chen (25 Spring - Present)

17' BS in Electrical Engineering, Shandong University, Jinan, China.

22' MS in Business Analytics, Kent State University, OH, U.S.

Research Interest: Grid resilience against extreme weather, distribution grid monitoring and control, computationally efficient methods for renewable-rich power system operation.

Ziying Wang (25 Fall - Present)

20' BS in Electrical Engineering, Sichuan University, Chengdu, China.

24' MS in Electrical Engineering, Sichuan University, Chengdu, China.

Research Interest: AI-powered distribution grid monitoring and control, operation and control of inverter-based resources.