Qinqin Zhu

Prof. Qinqin Zhu is an assistant professor in the department of Chemical Engineering at the University of Waterloo. She is also a faculty member in the Waterloo Artificial Intelligence Institute (Waterloo.AI) and Waterloo Institute for Sustainable Energy (WISE). Prof. Zhu received her PhD degree from the Chemical Engineering department at the University of Southern California, advised by Prof. Joe Qin. Prior to UW, She worked as a senior research scientist at Facebook Inc. in the United States.

Prof. Zhu's research mainly focuses on developing advanced statistical machine learning methods, process data analytics techniques and optimization algorithms in the era of big data with applications to statistical process monitoring and fault diagnosis. Her research addresses theoretical challenges and problems of practical importance in the area of process systems engineering. By leveraging the power of mathematical modeling and optimization, her group strives to develop advanced multivariate statistical analysis algorithms that enhance decision making in complex engineering systems.

[HIGHLIGHT] Prof. Zhu's group has two Ph.D. openings for Spring and Fall 2022.

* Please contact with Prof. Zhu if you have relevant background on machine learning, deep learning, optimization and reinforcement learning.

* Please read the "Prospective Students" page carefully before emailing.

• Process Data Analytics
• Machine Learning and Big Data
• Statistical Process Monitoring and Fault Diagnosis
• Optimization and Control of Process and Energy Systems
• Process Systems Engineering

• 2017, Doctorate, Chemical Engineering, University of Southern California
• 2016, Master of Science, Computer Science, University of Southern California
• 2013, Bachelor of Science (BSc), Automation, Zhejiang University

• CHE 420 - Intro to Process Control
  • Taught in 2020

• Currently considering applications from graduate students. A completed online application is required for admission; start the application process now.