Next-Generation Unified Energy System Lab (NEXUS)

Wenjia Xia

Wenjia has joined us as a PhD student in Sep 2024. Her research focuses on enhancing grid-edge flexibility by developing multimodal data-fusion-based load forecasting models that capture the dynamic behavior of end-use consumption. These methods aim to improve power system resilience by enabling more accurate characterization of demand-side flexibility and response potential. Before joining OSU, she received her Master’s degree from Dalian Maritime University, where her research focused on distributed optimization and control. In her free time, she enjoys hiking, exploring local restaurant spots, and spending time with her cat.

Lindong Zhou

Lingdong has joined us as a PhD student in Sep 2025. He holds a Bachelor's degree from Xidian University and a Master's degree from the University of California, Riverside. With multiple years of professional experience in the field of sustainability, his research interests primarily lie in Artificial Intelligence for Energy, with a current focus on Demand Response. He explores topics such as Load Disaggregation, Risk-aware Bidding, and User Behavior Modeling to develop data-driven decision-making tools for smart grids, thereby facilitating more efficient power market. When he is free, he enjoys soccer, tennis, music, and video games.

Shrinidhi Nadgouda

Shrinidhi has joined us as a PhD student in Sep 2025. She graduated with a double major in Electrical Engineering and Physics from the University of Virginia in 2025. Her research interests include power distribution system management and control. She has been working on risk-aware reinforcement learning for grid anomaly mitigation. In her free time, Shrinidhi enjoys playing rugby on Oregon State Womens+ Rugby, doing Indian classical dance, listening to music, and exploring new restaurants and coffeeshops.

Penghan Yang

Penghan has joined us as a PhD student in Sep 2025. He received his bachelor degree from Shandong University and his master degree from Zhejiang University of Science and Technology in China. Penghan is interested in utilizing various artificial intelligence methods for energy-related projects. Currently, he is focusing on developing artificial intelligence agents for energy system operation and applying computer vision techniques to asset monitoring. In his free time, He is enthusiastic about strength training, experimenting with different coffees and brewing methods, and exploring trails in the Pacific Northwest. He is also a loyal supporter of FC Barcelona.

Ruiqi Li

Ruiqi joined us in Fall 2024. She is currently an undergraduate student in Electrical Engineering at Texas A&M University, expected to graduate in 2028. She has a strong interdisciplinary background spanning computer science, data analysis, and engineering, with hands-on experience in machine learning and sensor-based projects. Her current research focuses on analysis of energy affordability, using real world energy consumption and electricity pricing data. Her work aims to deliver data-driven insights that can help make energy more affordable. Outside of research, she enjoys learning new technologies, reading, and indoor rock climbing.