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I am a 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.

• Masters in visual computing from Saarland University: Thesis
• BSc. honors in computer science from LUMS :Thesis

1. Evaluating the Fairness of Discriminative Foundation Models in Computer Vision,

   by Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Volkan Cevher, Kailash Budhathoki and Chris Russel
   in AAAI/ACM Conference on AI, Ethics, and Society (AIES ’23). Acceptance Rate: 29%
   [ Paper]

2. (De)Noise: Moderating the Inconsistency of Human Decisions,

   by Junaid Ali, Nina Grgić-Hlača, Krishna P. Gummadi and Jennifer Wortman Vaughan
   in Human Centered AI (HCAI) workshop at Neurips 2022. oral presentation
   [ Presentation]

3. 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] [ Presentation ] [ Poster]

4. 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]

5. 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 21' (Transactions on Knowledge and Data Engineering) (A top tier journal in data mining)
   • Presented as extended abstract at the International Conference on Data Engineering, ICDE '22 (An A* conference in data engineering)
   [ PDF] [ Poster] [ Code ]

6. 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]

• Human-Centered Machine Learning at Saarland University
• Distributed software systems design at LUMS
• Computational biology at LUMS