Ming Jin I am a Postdoctoral Scholar in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley mentored by Prof. Javad Lavaei. I graduated rom the Department of Electrical Engineering and Computer Sciences at UC Berkeley advised by Prof. Costas Spanos. I hold a research affiliate position at the Energy Technologies Area of the Lawrence Berkeley National Laboratory (LBNL), working with Dr. Wei Feng and Dr. Chris Marnay.   ·     ·

My research focuses on efficient data analytics for cyber-physical human systems, which employs modeling, optimization, and control theories to design new algorithms and mechanisms for emerging technologies and human factors, in order to facilitate the transition into an energy-efficient and system-wide resilient urban ecosystem.

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To this end, I developed learning algorithms under weak supervision, novel sensing paradigms for indoor environment monitoring and demand-based, occupancy-aware controls, deep Bayesian inverse reinforcement learning algorithm, as well as modeling and incentivization of humans to induce desirable behaviors via gamification.

I also explore the design and operation of community-based micro-grid in support of the mega-grid, which exploits the flexibility of demands, as well as the efficiency from both thermal and electricity energy provision and shared distributed energy resources (DERs) and storages, to address the grand challenge of distributed energy resource integration [see my publications].

Selected Awards

• Awards of Student Technology Fund Initiative (2016,2017)
• Best paper award at MobiQuitous (2016)
• Finalist for Samsung Fellowship Award (2016)
• Best paper award at Ubicomm for Mobile Ubiquitous Computing (2015)
• Top 5 team in Microsoft Indoor Localization Competition, Seattle (2015)
• Academic excellence award, first class honors, Dean’s List, 2008-2012
• ECE Department Scholarship, 2008-2012
• School of Engineering Scholarship, 2008-2012
• University Scholarship, 2008-2012