Mentoring
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Mentorship is a meaningful part of my academic life. I’ve had the pleasure of guiding students and early-career researchers, supporting their growth, and learning alongside them. Below are some highlights of my mentoring experience.
Looking ahead, I hope to lead innovation in tensor-based predictive modeling and process control, contribute to the development of sustainable and efficient industrial systems, and mentor students with the same care I once received. For me, being a professor means not only conducting meaningful research but also recognizing the profound responsibility we have toward our students—each of whom entrusts us with a unique and important chapter in their journey.
🌹 If you are interested in my research and would like to work with me, please feel free to reach out! 🌹
🌹 If you are interested in my research and would like to work with me, please feel free to reach out! 🌹
Individual Student Guidance
Individual Student Guidance
Mr. Yifeng Wang, Ph.D. student, Industrial Engineering, Georgia Tech (2025)
Project: Physics-informed tensor analytics
Ms. Alina Gorbunova, Ph.D. student, Industrial Engineering, Georgia Tech (2025)
Project: Federated data analytics
Mr. Joshua Do, undergraduate student, Mechanical Engineering, Georgia Tech (2025)
Project: Finite element analysis-assisted lifetime prediction
Ms. Yi Tong, undergraduate student, Industrial Engineering, Georgia Tech (2023)
Project: Tensor-based automatic process control under limited control resources
Mr. Dhavalkumar Patel, M.Eng. student, Industrial Engineering, University of Toronto (2020)
Project: Hybrid prognostics for lifetime prediction of bearings
Ms. Jin Gong, undergraduate student, Mechanical Engineering, University of Toronto (2020)
Project: Lifetime prediction for rechargeable batteries
Award: Mitacs Research Training Award
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