Biography

I am a Ph.D. student at Thayer School of Engineering, Dartmouth College, under Prof. Junbo Zhao, FIET, SMIEEE. Prior to this, I earned Bachelor's degrees in Electrical Engineering from ZJU in China and UIUC in the United States. My research interest resides at the theoretical nexus of learning, control, and optimization, with a focus on their applications in networked cyber-physical systems. I have been fortunate to conduct my research under the supervision of several distinguished professors: Prof. Yonghua Song, FREng, MAE, FIEEE, FIET, Prof. Liangzhong Yao, MAE, FIEEE, FIET, FAAIA, CEng, Prof. Le Xie, FIEEE, Prof. Qiang Yang, FIET, FBCS, SMIEEE, Prof. Heng Nian, SMIEEE, Prof. Can Wan, SMIEEE, Prof. Hongcai Zhang, SMIEEE, and Prof. Richard Y. Zhang.

During undergraduate studies, I had my papers submitted to or accepted in IEEE Transactions on Sustainable Energy (IF=10.0), Advances in Applied Energy (IF=13.8), Applied Energy (IF=11.0), Frontiers in Energy Research (IF=3.858), and IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2). Also, I filed a China Invention Patent application. I've been the Principal Investigator of a National University Student Research Project (2023.03-2024.05, funding: approx. 2,750 USD by Ministry of Education, China), the Principal Investigator of a New Seedling Talent Program in Zhejiang Province (2022.03-2023.05, final assessment: Excellent), and the Co-investigator of a State Grid Science & Technology Project supported by State Grid Zhejiang Co., Ltd. (2023.03-2024.09, PI: Prof. Qiang Yang, funding: approx. 195,000 USD). I am the recipient of Zhejiang University Scholarship, Zhejiang University Outstanding Student Candre, Best Reviewer Award for 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) and the Outstanding Reviewer Award for 2023 Panda Forum on Power and Energy (PandaFPE). As the only candidate in power systems, I was nominated among 80 finalists out of 29,014 undergraduates for 2024 ZJU Future Academic Rising Star.

News

[Sept 2025] I joined Thayer School of Engineering, Dartmouth College, to pursue my PhD degree in Engineering Sciences with a concentration in Electrical & Computer Engineering. My supervisor is Prof. Junbo Zhao, FIET, SMIEEE.

[June 2025] I was invited by IEEE Industry Applications Society (IEEE IAS) Power Systems Engineering Committee (PSEC) to serve as a reviewer for IEEE Transactions on Industry Applications.

[June 2025] I successfully defended my senior thesis “Optimal Sizing and Scheduling of Energy Storage Systems for Large-scale Wind Power Integration” under the mentorship of Prof. Liangzhong Yao, MAE, FIEEE, FIET, FAAIA, CEng, with an Excellent score.

[Sept 2024 – May 2025] I joined Sichuan Energy Internet Research Institute, Tsinghua University, as a part-time research intern. At Smart Hydropower and Watershed Safety Laboratory, I'm concentrating on the practical application of safety-critical reinforcement learning for the dispatch of cascade hydropower stations.

[Mar 2024 – Aug 2024] I carried out research at SGOOL on data-driven conditional probabilistic forecasting of wind power generation. A paper is now under working for IEEE Transactions on Sustainable Energy (IF=10.0).

[Dec 2023 – Feb 2024] I was honored to be a visiting student at the State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), which is led by Prof. Yonghua Song. I was cooperating with Prof. Hongcai Zhang, SMIEEE, in Smart Energy Group.

[Sept 2023 – Dec 2023] I joined Prof. Richard Zhang's research group at UIUC to continue my research on the optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism. A paper is now under working for Applied Energy (IF=11.0).

[Aug 2023 – Dec 2023] I was a transfer student at University of Illinois Urbana-Champaign, majoring in Electrical Engineering.

[June 2023 – Feb 2024] I completed a survey on AI-driven high renewable-penetrated power systems, in which I reviewed about 300 articles covering four popular groups of artificial intelligence techniques, namely supervised learning, unsupervised learning, deep learning, and reinforcement learning, as well as several representative topics in modern power systems, including analysis, forecasting, operation, control, and market. The manuscript is now under working for Advances in Applied Energy (IF=13.8).

[Apr 2023] I served as a reviewer and received the Outstanding Reviewer Award for 2023 Panda Forum on Power and Energy (PandaFPE), where 9 fellows of Chinese Academy of Sciences, Chinese Academy of Engineering, Royal Academy of Engineering and IEEE gave their keynote presentations.

[Apr 2023] I served as a reviewer and received Best Reviewer Award for 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) organized by Hong Kong Society of Mechanical Engineers and IEEE PES.

[Mar 2023 – Feb 2024] I successfully secured a National University Student Research Project “Optimal Allocation of Shared Energy Storage Capacity towards Large-scale Wind Power Integration”, which is supported by Ministry of Education of China with an approx. 2,750 USD in funding. I have built on this project to complete my undergraduate thesis and defense.

[Mar 2023 – June 2025] I was fortunate to join ZJU Smart Grid Operation and Optimization Laboratory (SGOOL), which is led by Prof. Yonghua Song, FREng, MAE, FIEEE, FIET. I was cooperating with Prof. Can Wan, SMIEEE, in the lab.

[Mar 2023 – Sept 2024] I was participating in the research work “Optimal Scheduling of Park-level Integrated Energy System Considering Ladder-type Carbon Trading Mechanism”, a project sponsored by State Grid Zhejiang Co., Ltd. (funding: approx. 195,000 USD, PI: Prof. Qiang Yang). I was playing the role of Co-I.

[Dec 2022] I gave the presentation “Modeling Dynamic Carbon Emissions in Power System Based on Nodal Carbon Intensity Clustering” for my accepted paper at IEEE EI2 2022, Chengdu, China.

[Sept 2022] My paper “Modeling Dynamic Carbon Emissions in Power System Based on Nodal Carbon Intensity Clustering” was accepted to the 6th IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2).

[Sept 2022 – June 2025] I joined as a research assistant in the newly established International Research Center for Advanced Electrical Engineering (IRCAEE) at ZJU, which is led by Prof. Qiang Yang.

[June 2022 – Feb 2023] I was selected for the New Seedling Talent Program of Zhejiang Province, entitled “Carbon Emission Flow in Modern Power Systems: Model, Measurement and Assessment”. I passed the closing defense with an excellent rating.

[Mar 2022 – June 2025] I joined Smart Energy Systems Laboratory (SES Lab) at ZJU, which is led by Prof. Qiang Yang, FIET, FBCS, SMIEEE.

[Feb 2022 – May 2022] I participated in research on an edge-intelligence based DRL control framework for the cost-effective decisions of distributed electric heating users. The paper “Edge intelligence enabled optimal scheduling with distributed price-responsive load for regenerative electric boilers” was accepted by Frontiers in Energy Research (IF=3.4), where I was the second author.

[Sept 2021 – June 2025] I was an undergraduate student at Zhejiang University (ZJU), majoring in Electrical Engineering & Automation.