Dr. Bing Yao with the School of Industrial Engineering and Management (IEM) at Oklahoma State University is seeking Ph.D. students starting from Spring 2020/ Fall 2020. The prospective students will receive full doctoral-level financial support ($24,000/year) with a tuition waiver.
Bing Yao is an Assistant Professor at Oklahoma State University. Her research focuses on the development of innovative interdisciplinary data-driven models for smart health and advanced manufacturing. Specifically, her research interests include:
• Big data analytics for spatiotemporal complex systems
• Computer simulation and optimization
• Markov decision process and sequential decision making
• Biomedical and health informatics
• Sensor-based modeling and control of additive manufacturing
• Data mining and signal processing
For more information about her research, please visit her website: https://sites.google.com/view/yaobing/home.
The prospective students are expected to have a strong background in mathematics, statistics, and programming, with major in statistics, mathematics, computer science, physics, industrial engineering, or other related engineering majors.
Oklahoma State University is an “R1” (i.e., highest research activity) research university classified by the Carnegie Foundation. The School of Industrial Engineering and Management ranked 34th among all graduate industrial/manufacturing/systems engineering programs in the U.S. by U.S. News and World Report in 2018, and is well on its way to the goal of ranking among the top 20 by 2020. For more information about the university and IEM department, please visit: https://go.okstate.edu and https://iem.okstate.edu.
To apply:
If interested, please contact Bing Yao (bing.yao@okstate.edu) with a detailed CV (including GRE and TOEFL scores) and college education transcript.