Sirisha Rambhatla (She/Her)

Sirisha Rambhatla, Ph.D., is the Director of the Critical Machine Learning (ML) Lab (https://sirisharambhatla.com/criticalml/) and an Assistant Professor in the Management Science and Engineering Department at the University of Waterloo (UW) with cross-appointments in Systems Design Engineering and the David R. Cheriton School of Computer Science. Her research focuses on developing reliable ML and artificial intelligence (AI) models for critical real-world decision-making in surgery, transplantation and healthcare, intelligent manufacturing, and aviation using computer vision, spatiotemporal modelling, representation learning, and explainable AI. Her inter-disciplinary work, spanning both the theory and practice of ML, has been published at top ML venues such as ICML, NeurIPS, ICLR, KDD, IJCAI, AAAI, and clinical venues such as AMIA, Urology Clinics North America, Surgery, and the American Association for the Study of Liver Diseases. Recipient of the 2025 Outstanding Performance Award by University of Waterloo, 2021 Merit Award for Excellence in Postdoctoral Research at the University of Southern California, Dr. Rambhatla received her Ph.D. and Master’s in Electrical Engineering from the University of Minnesota -- Twin Cities in 2019 and 2012, respectively, where she was the recipient of the E. Bruce Lee Memorial Fellowship. More information can be found at https://sirisharambhatla.com/

• Representation Learning, Machine Learning, Deep Learning, Spatiotemporal Data Analysis, Computer Vision , AI for Healthcare, AI for Intelligent Automation

• 2019, Doctorate Electrical Engineering, University of Minnesota -- Twin Cities, United States of America

• 2012, Master of Science Electrical Engineering, University of Minnesota -- Twin Cities, United States of America

• 2010, Bachelor's Electronics and Telecommunication Engineering, College of Engineering Roorkee, India

• 2025 Outstanding Performance Award, Faculty of Engineering, University of Waterloo

• 2021 Merit Award for Excellence in Postdoctoral Research, University of Southern California

• MSCI 436 - Decision Support Systems
  • Taught in 2022, 2023, 2024
• MSCI 546 - Advanced Machine Learning
  • Taught in 2023, 2024
• MSCI 598 - Special Topics in Management Engineering
  • Taught in 2023, 2024
• MSCI 623 - Big Data Analytics
  • Taught in 2024
• MSE 546 - Advanced Machine Learning
  • Taught in 2025
• MSE 598 - Special Topics in Management Engineering
  • Taught in 2025

* Only courses taught in the past 5 years are displayed.

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