[01]
Coupled Energy Infrastructure Systems
Modeling and analysis for infrastructure systems that connect energy, transportation, and decision-making layers.
BOOTING MINGHAO.EXE...
Minghao Mou
Ph.D. candidate at Purdue ECE
Researching Coupled Energy Infrastructure Systems, Generative Models, and Optimal Control.
- Status
- Ph.D. candidate
- Affiliation
- Elmore Family School of Electrical and Computer Engineering, Purdue University
- Advisor
- Dr. Junjie Qin
- mmou@purdue.edu
I am a Ph.D. candidate in Elmore Family School of Electrical and Computer Engineering at Purdue University, advised by Dr. Junjie Qin. I obtained my Bachelor's degree in Mathematics from Chinese University of Hong Kong, Shenzhen in 2023, where I was advised by Dr. Shuang Li.
[02]
Generative Models
Learning-based models for representing complex system behavior and supporting research workflows.
[03]
Optimal Control
Optimization and control methods for engineered systems with operational constraints.
- I passed my PhD preliminary exam and am now a Ph.D. candidate.
- Our preprint Braess' Paradoxes in Coupled Power and Transportation Systems was revised on arXiv.
- Our preprint Braess' Paradoxes in Coupled Power and Transportation Systems was on arXiv.
- Our paper Nexus Cognizant Pricing of Workplace Electric Vehicle Charging was accepted to ACC 2024.
- I graduated from CUHKSZ with first-class honors.
PVI_SOLVER.EXE
Braess' Paradoxes in Coupled Power and Transportation Systems
Project entry connected to the arXiv preprint on coupled power and transportation systems.
Open arXiv recordEV_PRICING.EXE
Nexus Cognizant Pricing of Workplace Electric Vehicle Charging
Project entry connected to the ACC 2024 paper on workplace electric vehicle charging.
Open paperNEXT_PROGRAM.SLOT
Future project slot
This slot is reserved for a later project description supplied by Minghao Mou.
$ ls teaching
No teaching entries are currently listed on this website.
Download the current curriculum vitae as a PDF.
Download CV