Group
Students at National Renewable Energy Laboratory
- Keyang Xuan
Keyang is a graduate intern at National Renewable Energy Laboratory. He is currently a MSc student student in University of Illinois, Urbana-Champaign (UIUC). Keyang is working with us on grid edge resource flexibility prediction with social impact integrated.
Students at Oregon State University
- Ruiqi Li
Ruiqi was previously an undergraduate student at Oregon State University and is now pursuing her undergraduate studies at Texas A&M University. She is working with us on energy affordability.
- Wenjia Xia
Wenjia has joined us as a PhD student in Sep 2024. She received her master and bachelor degrees from Dalian Maritime University in China. She is working with us on grid edge flexibility estimation and grid resilience.
- Lingdong Zhou.
Lingdong has joined us as a PhD student in Sep 2025. Lingdong received his bachelor degree from Xidian University in China and his master degree from the University of California, River Side.
- Shrinidhi Nadgouda.
Shrinidhi has joined us as a PhD student in Sep 2025. Shrinidhi received her bachelor degree from the University of Virginia.
- Penghan Yang.
Penghan has joined us as a PhD student in Sep 2025. Penghan received his bachelor degree from Shandong University and his master degree from Zhejiang University of Science and Technology in China.
Alumni
- Roshan Klein-Seetharaman
Roshan was an undergraduate intern at National Renewable Energy Laboratory and was continously working with us after the internship. He is currently an undergraduate student in Yale University. Roshan worked with us on utilizing transfer learning to enhance grid edge load forecasting.
- Daniel Lee
Daniel is an undergraduate student at Oregon State University. Daniel worked with us on EV adoption estimation.
- Levi Lao
Levi is an undergraduate student at Oregon State University. Levi worked with us on EV grid impact analysis.
- Guowei Li
Guowei is an undergraduate student at Oregon State University. Guowei worked with us on power distribution system simulations.
Openings:
We are seeking two highly motivated PhD students to join our group in Fall 2026. The ideal candidates will have strong interests in applying deep learning techniques to challenges in power and energy systems. If you are interested, please email me your CV and transcript, and apply here. We welcome master students and undergradudate students who have passion for clean energy research. If you have interest, please send me an email.