My name is Shenghan Guo, an Assistant Professor in The School of Manufacturing Systems and Networks at Arizona State University. I am looking for motivated students to join my group in Fall 2022 to pursue a Ph.D. in Systems Engineering.
The dissertation research will focus on developing data-driven solutions for smart manufacturing. Statistical process monitoring, data mining, and machine learning will be intensively used in dissertation research. Specific topics may cover methodology innovation for manufacturing data processing and modeling, data-driven decision-making, interpretable or physics-informed machine learning, diagnostic and prognostics for advanced manufacturing processes (e.g., laser-based additive manufacturing).
You are welcome to apply if you are passionate about data and machine learning and interested in solving real-world decision-making challenges! Qualified candidates will be financially supported with full research assistantship.
More details can be found in the attached flyer.