Kirandeep Kaur

PhD in Computer Science

kaur13 [AT] cs.washington.edu

Bio

Hi! I am a second-year PhD student at the Paul G. Allen School of Computer Science, University of Washington. I am associated with Infoseeking Lab, RAISE and advised by Chirag Shah. My research focuses on building responsible and privacy-preserving information retrieval solutions for traditional and conversational recommendation systems, ranking, and query matching algorithms. I'm grateful to have my research supported by the Microsoft Endowed Fellowship.

Before joining PhD, I was a research intern at the MPI-SP, where I worked under the supervision of Asia Biega at the intersection of GDPR's Data Minimization Principle and Federated Learning. I completed my Master's in Computer Science & Engineering at IIT, Ropar, and was extremely fortunate to be advised by Shweta Jain and Sujit Gujar. I will always be thankful to them for being my first mentors, introducing me to research and guiding me throughout my journey to PhD. My Master's thesis aimed at improving fairness in Federated Recommendation Systems and was nominated for Best MTech Thesis Award.

News

Publications

Most recent publications on Google Scholar.

Responsible Adaptation of LLMs for Robust Top-k Recommendations

Kirandeep Kaur, Chirag Shah

Paper

Evaluating Demographic Disparity in Computational Interpretations of GDPRs Data Minimization Principle in Two-Sided Online Platforms

Kirandeep Kaur, Athina Kyriakou, Andrew Zhang, Anthony Wise, Franziska Roesner, Chirag Shah

Investigating the Importance of Data Minimization under the Federated Learning Paradigm

Kirandeep Kaur, Alessandro Fabris, Asia Biega

Paper

Towards Fairness in Provably Communication Efficient Federated Recommendation Systems

Kirandeep Kaur, Sujit Gujar, Shweta Jain

Paper

EqBal-RS: Mitigating Popularity Bias in Recommendation Systems

Shivam Gupta, Kirandeep Kaur, Shweta Jain

Journal of Intelligent Information Systems. 2023.

Paper

Improving the Resolution of Protein Structure Imaging

Mustafa Arikan, Dan Burrows, Kirandeep Kaur, Osian Shelley, Nayef Shkeir, Jesse Spielman, Lorenzo Toniazzi, Xiaochen Yang, Naya Yerolemou, Kit Windows-Yule, Leonard Nicusan

Data Study Group Report, Alan Turing Institute,UK.

Paper

Projects

Battle of Neighborhoods
Clustering based Recommender System for House Recommendations.
Lion in Mazeworld
A Game Model Environment for navigation.
The 8 Queen Puzzle
Implementation of 8 Queen Chess Problem using Genetic Algorithm.
Wordoku AI Agent
AI Agent to solve Wordoku puzzle using Constraint Satisfaction Problem.
XMen Game
Markov Decision PRocess based Implementation.
Intelligent Fake News Reasoner
A Reasoner based on Description Logic and Fuzzy Logic.
Text Recognition
A Neural Network-Based Model.

Vitæ

Full Resume in PDF.

Kirandeep Kaur
based on the template by Martin Saveski