Mukund Telukunta

I’m a recent PhD grad from Missouri University of Science and Technology, worked under the guidance of Dr. Siddhardh Nadendla. My research interests include algorithmic fairness and human-AI interaction, with a focus on the kidney transplantation domain. I’m currently on the job market, please reach out if interested!

My work focuses on understanding the fairness perceptions of various stakeholders (patients, donors, and surgeons) in kidney transplantation. I have collaborated with Research Scientists from the United Network of Organ Sharing (UNOS) and Nephrologists from Saint Louis University Hospital.

relevant publications

Fairness Perceptions through Disagreements (In Preparation)
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla

Fairness Perceptions in Regression-based Predictive Models (Under Review)
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla, Morgan Stuart, Casey Canfield
Preprint

Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
Mukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddhardh Nadendla and Casey Canfield
Conference on Health, Inference and Learning (CHIL) 2024
PDF | Poster

Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
BIAS Workshop at European Conference on Machine Learning (ECML\PKDD) 2023
PDF | Poster

On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
FAccTRec Workshop at Recommender Systems (RecSys) 2020
PDF