Scholarship: Fully funded
Nationality: International Students
Application deadlines: Spring or Fall 2024
r. Shixuan Zhang is an assistant professor in the Wm Michael Barnes ’64 Department of Industrial & Systems Engineering (ISEN) at Texas A&M University. He received his Ph.D. in Operations Research from the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology in 2022. Before joining ISEN, he was a postdoctoral fellow at the Institute for Computational and Experimental Research in Mathematics, Brown University. He received the Best Student Paper Prize, Honorable Mention, from the Institute for Operations Research and the Management Sciences (INFORMS) Optimization Society in 2021 and the Outstanding Contribution in Reviewing for the journal Operations Research Letters in 2022. He was also a member of the winning team, GMI-GO, in the Grid Optimization (GO) competition sponsored by the Advanced Research Projects Agency-Energy (ARPA-e) in 2019 and 2021.
The Department of Industrial and Systems Engineering in the Texas A&M University College of Engineering was established in 1940. It has been consistently ranked among the top 10 departments in the United States by the Gourman Report, the National Research Council, and U.S. News and World Report for the past 10 years. In 2019, the College of Engineering received the bronze-level award for the inaugural American Society for Engineering Education (ASEE) Diversity Recognition Program, and is currently ranked in the top 10 for best graduate engineering schools by U.S. News and World Report for 2023.
Texas A&M’s main campus in Bryan-College Station (BCS) is located in the heart of the Houston-Dallas-Austin triangle. BCS is a vibrant community of cultural diversity, arts and entertainment, world-class sports, and a low cost of living that makes it a stress-free and enjoyable place to live. As a vibrant college town with the amenities of neighbouring larger cities, BCS is a great place to finish your degree!
- Polynomial and integer optimization,
- Stochastic and robust optimization, and
- Energy systems planning.
- Applicants who have good mathematical background with interests in applied and computational research, or
- Applicants who are familiar with design and implementation of numerical experiments for engineering problems.
If you are interested, please email Shixuan ([email protected])