[EE/CS/Stat/OR/Math] PhD positions at ECE Virginia Tech
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【帮转】The laboratory of research in optimization, learning, and energy (ROLE), led by Dr. Ming Jin in the Bradley Department of Electrical and Computer Engineering at Virginia Tech has two Ph.D. position.
The goal of ROLE lab is to enable trustworthy AI for safety-critical systems like power grid and human habitat. Towards this goal, we develop fundamental theories in the areas of optimization, control, and machine learning, with emphasis on various aspects of trust, including security, reliability, explainability, and scalability.
If your interests are compatible with ours, please feel free to send me your CV and your current transcript. Students with strong mathematical backgrounds and have taken courses in the areas of optimization, control theory, machine learning, and statistics are preferred.
Email: 1point3acres.com
Homepage: jinming.tech
Biography of Dr. Ming Jin:
(See also a recent interview article about Dr. Ming Jin's research by Berkeley IEOR: ieor.berkeley.edu)
Dr. Ming Jin is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He received the B.Eng. degree with honor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology in 2012, the Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California, Berkeley in 2017, and was a postdoctoral scholar at the Department of Industrial Engineering and Operations Research at University of California, Berkeley from 2018 to 2020 before joining Virginia Tech.
Dr. Jin’s research interests include trustworthy AI, cyber-physical system, security, and human-in-the-loop decision making. Jin’s work has been also recognized by several awards, including the Siebel scholarship in energy science, Best Paper Award at the Building and Environment journal, Best Paper Award at the International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Best Paper Award at the International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. His work has been featured in multiple media outlets, including IEEE Spectrum, Berkeley Engineer Magazine, and MIT Technology Review.
Dr. Jin has mentored more than 20 undergraduate or Masters students. Many of them have got offers from prestigious schools such as MIT and UC Berkeley or big tech companies such as Facebook.
The goal of ROLE lab is to enable trustworthy AI for safety-critical systems like power grid and human habitat. Towards this goal, we develop fundamental theories in the areas of optimization, control, and machine learning, with emphasis on various aspects of trust, including security, reliability, explainability, and scalability.
If your interests are compatible with ours, please feel free to send me your CV and your current transcript. Students with strong mathematical backgrounds and have taken courses in the areas of optimization, control theory, machine learning, and statistics are preferred.
Email: 1point3acres.com
Homepage: jinming.tech
Biography of Dr. Ming Jin:
(See also a recent interview article about Dr. Ming Jin's research by Berkeley IEOR: ieor.berkeley.edu)
Dr. Ming Jin is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He received the B.Eng. degree with honor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology in 2012, the Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California, Berkeley in 2017, and was a postdoctoral scholar at the Department of Industrial Engineering and Operations Research at University of California, Berkeley from 2018 to 2020 before joining Virginia Tech.
Dr. Jin’s research interests include trustworthy AI, cyber-physical system, security, and human-in-the-loop decision making. Jin’s work has been also recognized by several awards, including the Siebel scholarship in energy science, Best Paper Award at the Building and Environment journal, Best Paper Award at the International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Best Paper Award at the International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. His work has been featured in multiple media outlets, including IEEE Spectrum, Berkeley Engineer Magazine, and MIT Technology Review.
Dr. Jin has mentored more than 20 undergraduate or Masters students. Many of them have got offers from prestigious schools such as MIT and UC Berkeley or big tech companies such as Facebook.
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