Abhijnan Chakraborty

Dr. Abhijnan Chakraborty

অভিজ্ঞান চক্রবর্তী | अभिज्ञान चक्रबर्ती

Pronounced as "Abhigyan". If difficult, call me "Abhi".

Assistant Professor at Dept. of Computer Science and Engineering, IIT Delhi, India.

Research Area: Social Computing, Information Retrieval, Fairness in Machine Learning

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About Me

I am currently an assistant professor in the department of Computer Science and Engineering at Indian Institute of Technology (IIT) Delhi. Prior to joining IIT Delhi, I spent around two and half years at the Max Planck Institute for Software Systems (MPI-SWS) as a post-doctoral researcher. I obtained PhD from Indian Institute of Technology (IIT) Kharagpur, where I was jointly advised by Prof. Niloy Ganguly from IIT Kharagpur and Prof. Krishna Gummadi from MPI-SWS. During PhD, I was awarded the prestigious Prime Minister's Fellowship for Doctoral Research and Google India PhD Fellowship. Prior to that, I have worked at Microsoft Research India for two years.

Research Interests

My research interests fall under the broad theme of Computing and Society, spanning the research areas of Social Computing, Information Retrieval, Computational Journalism and Fairness in Algorithmic Decision Making. The problems I study usually have two distinct aspects: an algorithmic aspect and a societal aspect. A common thread in my research lies in collecting and analyzing large scale data from online systems to understand whether there is any cause for concern, and then develop mechanisms to eliminate or reduce the impact. My research agenda is inherently interdisciplinary, and therefore, the tools and theories that I often use in my works come from machine learning, network science, media studies, computational social choice, social welfare and behavioral economics.

Latest News

Feb 21: Program Committee Member @ AIES 2021

I am serving in the program committee of the AAAI/ACM Conference on AI, Ethics, and Society.

Conference Website


Jan 21: Organizing ACM Winter School on FAccT AI

We are organizing ACM India Winter School on Fairness, Accountability and Transparency in Artificial Intelligence. We are grateful to IBM Research India for kindly sponsoring the school.

School Website


Nov 20: Organizing FILA 2020 colocated with IEEE BigData 2020

We are organizing an international workshop on Fair and Interpretable Learning Algorithms (FILA) in conjuction with the IEEE BigData Conference 2020.

Workshop Website


Sep 20: Area Chair @ FAccT 2021

I am serving as an area chair at the ACM Conference on Fairness, Accountability, and Transparency.

Conference Website


Aug 20: Program Committee Member @ WWW 2021

I am serving in the program committee of The Web Conference.

Conference Website