About

I am a fourth year PhD student under the supervision of Krishna P. Gummadi. My interests include machine learning, fairness and bias in algorithms. You can find my CV here.


Education


Publications

  1. Accounting for Model Uncertainty in Algorithmic Discrimination,

    by Junaid Ali, Preethi Lahoti and Krishna P. Gummadi
    in AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21). Acceptance Rate: 37%
    [ PDF] [ Code ] [ Poster]
  2. Unifying Model Explanability and Accuracy Through Reasoning Labels,

    by Vedant Nanada, Junaid Ali, Krishna P. Gummadi and Muhammad Bilal Zafar
    In Safety and Robustness in Decision Making (SRDM) Workshop at NeurIPS'19, 2019
    [ PDF]
  3. On the Fairness of Time-Critical Influence Maximization in Social Networks,

    by Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi and Adish Singla
    • Selected for oral presentation
      In Human-Centric Machine Learning (HCML) Workshop at NeurIPS '19, 2019
    • Got accepted at TKDE (Transactions on Knowledge and Data Engineering) (A top tier journal in data mining)
    • Got accepted at the International Conference on Data Engineering, ICDE '22 (An A* conference in data engineering)
    [ PDF] [ Poster] [ Code ]
  4. Loss-Aversively Fair Classification,

    by Junaid Ali, Muhammad Bilal Zafar, Adish Singla and Krishna P. Gummadi
    in AAAI/ACM Conference on AI, Ethics, and Society (AIES ’19). Acceptance Rate: 32%
    [ PDF] [ Code ] [ Poster]

Teaching

Reviewing

ICPR '20 (reviewer), ICPR '22 (technical committee)