Welcome to the Smart Power, Energy and Decision-making (SPEED) Lab led by Dr. Xin Chen at TAMU ECE. The research of SPEED lies in the intersection of control, machine/reinforcement learning, and optimization for human-cyber-physical systems, with particular applications to sustainable power and energy systems. The SPEED lab aims to develop fundamental theories, scalable decision-making algorithms, and practically applicable tools to advance the intelligence, resilience, and sustainability of modern power and energy systems.
[Highlight] Our lab has multiple openings for fully funded Ph.D. positions starting in Spring 2024 or Fall 2024. We are looking for self-motivated students with strong mathematical backgrounds and interests in smart power and energy systems.
- Please contact Dr. Xin Chen at “firstname.lastname@example.org” with the subject line “Prospective Ph.D. Student”, enclosing CV, transcript, and a short description of research interests, if you are interested in joining our lab. See here for more details.
- See here for the instructions of Graduate Program Applications.