Mukund Telukunta

I’m a PhD student at Missouri University of Science and Technology, working 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.

Currently, my work centers 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

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