Affiliated with the High Resilient Power and Energy System Research Team, led by Professor Bie Zhaohong, the team’s WeChat public account is "高弹性电力能源系统研究团队XJTU," where you can access the latest news.
Home - 赵 天阳
Dr. Tianyang Zhao
Researcher/Associate Professor, PhD Supervisor
Electrical Engineering
Department of Electrical Power Engineering
e-mail：zhaoty@xjtu.edu.cn
office：
Room 120, Department of Electrical Power Engineering, East Building 2 (Xingqing Campus)
Room 3-5232 (506W), Gongxing Building (Innovation Hub Campus).
2024 - Present: Researcher/Associate Professor, School of Electrical Engineering, Xi'an Jiaotong University, China
2023 - 2024: Researcher, Royal Institute of Technology, Sweden
2022 - 2023: Research Associate, University of Bath, UK
2020 - 2022: Associate Professor, Jinan University, China
2017 - 2020: Postdoctoral Research Fellow, Nanyang Technological University, Singapore
2013.09 - 2017.06: PhD in Power System and its Automation, North China Electric Power University, Beijing, China
2015.10 - 2017.06: Joint PhD in Electrical Engineering, Nanyang Technological University, Singapore
2011.09 - 2013.06: Master’s in Power System and its Automation, North China Electric Power University, Beijing, China
2007.09 - 2011.07: Bachelor’s in Electrical Engineering and its Automation, North China Electric Power University, Beijing, China
1. Resilient Power Systems / Power System Reliability
2. Vehicle to X
3. Scientific Machine Learning
The research group implements team-based guidance. I enroll 1-2 PhD students and 2-4 Master's students each year, and I supervise 2-3 undergraduate graduates.
I welcome students with a strong interest in research to join our team. Candidates should have a solid foundation in operations research and machine learning theory, be proficient in programming (Julia, Python), and be open to the open-source development model.
