Contact
Associate Professor, Faculty of Science - Computing Science
- nidhih@ualberta.ca
Overview
About
I'm an Associate Professor in the Department of Computing Science and a PI at Amii.
Before joining the University of Alberta in February 2020, I spent many years in industry research working on many interesting problems. Most recently I was a research team lead at Borealis AI (a research institute for the Royal Bank of Canada), where my team worked on privacy-preserving methods for machine learning models and other applications for the bank. Prior to that I spent many years in research labs such as Bell Labs, Technicolor, and Orange.
Please see here for more details.
Research
My research interests are in probabilistic modelling and algorithmic design of machine learning for networked and multi-agent systems, and inference under bias and privacy constraints.
My current focus is on privacy, and fairness and bias in machine learning.
Please see dblp, Google scholar for a complete publication list.
Courses
MMA 609 - Responsible AI & Ethical Issues in Data Analytics
This course focuses on the ethical and legal considerations in artificial intelligence (AI) and data analytics, fields that are evolving rapidly and prompting novel ethical and regulatory concerns. It will cover subjects such as data privacy, fairness in algorithms, interpretability, and accountability. Participants will be educated on the responsible and ethical application of AI and data analytics technologies. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.