DrYulong Gao
Assistant Professor in Control
Department of Electrical and Electronic Engineering - Faculty of Engineering
Orcid identifier0000-0003-2338-5487 (opens in a new tab)
- Assistant Professor in ControlDepartment of Electrical and Electronic Engineering - Faculty of Engineering
- 1113, Electrical Engineering, South Kensington Campus, United Kingdom
BIO
Dr. Yulong Gao is an Assistant Professor at the Department of Electrical and Electronic Engineering at Imperial College London.
He received the B.E. degree in Automation in 2013, the M.E. degree in Control Science and Engineering in 2016, both from Beijing Institute of Technology, and the joint Ph.D. degree in Electrical Engineering in 2021 from KTH Royal Institute of Technology and Nanyang Technological University. He was a visiting student in Department of Computer Science, University of Oxford in 2019 and a Researcher at KTH from 2021 to 2022. From 2022 to 2023, he was a postdoctoral researcher at Oxford.
His research interests include formal verification and control, machine learning, and applications to safety-critical systems.
His research publications are accessible through Google Scholar.
Research Interests
Modeling, analysis, and control of safety-critical systems, including but not limited to formal verification and control, reachability and invariance, and autonomous systems.
He received the B.E. degree in Automation in 2013, the M.E. degree in Control Science and Engineering in 2016, both from Beijing Institute of Technology, and the joint Ph.D. degree in Electrical Engineering in 2021 from KTH Royal Institute of Technology and Nanyang Technological University. He was a visiting student in Department of Computer Science, University of Oxford in 2019 and a Researcher at KTH from 2021 to 2022. From 2022 to 2023, he was a postdoctoral researcher at Oxford.
His research interests include formal verification and control, machine learning, and applications to safety-critical systems.
His research publications are accessible through Google Scholar.
Research Interests
Modeling, analysis, and control of safety-critical systems, including but not limited to formal verification and control, reachability and invariance, and autonomous systems.
FACULTY
- Faculty of Engineering
POSITION NAME
- Assistant Professor in Control