Junjie Qin

Junjie Qin 

I am an Assistant Professor at Purdue ECE. I am also affiliated with the Center for Innovation in Control, Optimization, and Networks (ICON) and the NSF ASPIRE Engineering Research Center at Purdue. Before joining Purdue, I was a postdoctoral researcher in the Department of Mechanical Engineering at University of California, Berkeley, working with Prof. Kameshwar Poolla and Prof. Pravin Varaiya. I completed my Ph.D. in Computational and Mathematical Engineering at Stanford University in January 2018, under the supervision of Prof. Ram Rajagopal.

Rm 2051 Seng-Liang Wang Hall
516 Northwestern Ave, West Lafayette, IN 47906
Tel: (650) 391-6549


I am looking for motivated Ph.D. students or postdoctoral researchers to join my group at Purdue ECE. Topics of interest include control and optimization, statistical learning, market design, and their applications to power systems, transportation systems, and cyber-physical systems. Candidates with strong mathematical background are preferred. Interested applicants are encouraged to contact me at jq@purdue.edu.


Junjie Qin is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. Before joining Purdue, he was a postdoctoral researcher at University of California, Berkeley. He obtained a Ph.D. degree in Computational and Mathematical Engineering from Stanford University, where he also received an M.S. degree in Civil and Environmental Engineering and an M.S. degree in Statistics. He received his Bachelor degrees from Tsinghua University, Beijing, China. He has been awarded the Google Research Scholar Award in 2022, the 2020 O. Hugo Schuck Best Paper Award by the American Automatic Control Council, the Best Student Paper Award at the 23rd IEEE International Conference on Intelligent Transportation Systems, the Best Student Paper Finalist at the 55th IEEE Conference on Decision and Control, and the Satre family fellowship on energy and sustainability.

Latest news

Sept 2023: Sustainable Energy Systems Focus Area of Strategic Technology (FAST) proposal is funded by the Institute for Control, Optimization, and Networks (ICON) at Purdue. The kickoff slides are here. More activities will be announced soon!

Aug 2023: Our CDC 2022 paper “Scheduling and pricing non-preemptive electric loads: A convex approach” is selected for the Best Paper Prize by the Energy Systems Technical Committee (formerly the Smart Grid TC) of the IEEE Control Systems Society (CSS). Congratulations Mingyu!

2023: Invited talk “Towards Closing the Transportation-Electricity-Human Loop via Control and Market” was presented in the NSF Workshop on Cyber-enabled Infrastructure to Support Carbon-neutral Electricity and Mobility (Lightning talk + poster) in April, in the ACC 2023 Workshop on Foundations of Systems and Control for the 21st Century: In Honor and Memory of Pravin Varaiya in May, at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen in August, and at the Department of Information Engineering, The Chinese University of Hong Kong in August.

Aug 2022: Prof. Aliprantis, Prof. Seetharaman and I have a joint postdoc opening in Control and optimization at the transportation-energy nexus through the Lillian Gilbreth Postdoc Program at Purdue. Please send us an email if you are interested.

Jul 2022: Our papers “Scheduling and Pricing Non-Preemptive Electric Loads: A Convex Approach”, “Electric Vehicle Battery Sharing Game for Mobile Energy Storage Provision in Power Networks”, “Optimal Ordering Policies for Multi-Echelon Supply Networks”, and “The Value of Pooling in Last-Mile Delivery” are accepted to the 2022 IEEE Conference on Decision and Control. Congratulations Mingyu, Utkarsha, Jose, and Akhil!

May 2022: I am selected as a recipient of the 2022 Google Research Scholar Awards. Thanks, Google!

Jul 2021: Our paper “Marginal Value of Mobile Energy Storage in Power Network” is accepted to the 2021 IEEE Conference on Decision and Control.

May 2021: I am serving as a member of the Technical Program Committee for the conference Performance 2021.

Apr 2021: Our paper “Mobile Storage for Demand Charge Reduction” is accepted to IEEE Transactions on Intelligent Transportation Systems.

Sept 2020: Our paper “Impact of Driver Classification Regulations on Transportation Network Companies” is selected for the Best Student Paper Award (First Place) at the 23rd IEEE International Conference on Intelligent Transportation Systems!

Mar 2020: Our paper “Distributed Storage Investment in Power Networks” is selected for the 2020 O. Hugo Schuck Best Paper Award by the American Automatic Control Council (AACC)! The award will be announced at this year's American Control Conference.