Abhijnan Chakraborty

Dr. Abhijnan Chakraborty

অভিজ্ঞান চক্রবর্তী | अभिज्ञान चक्रबर्ती

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

Assistant Professor, Department of Computer Science & Engineering, IIT Delhi, India.
Associate Faculty, School of Information Technology, and School of Artificial Intelligence.

Research Area: Responsible AI (spec. Algorithmic Fairness), Online Social Networks, AI for Social Good, AI and Law

About Me

I am an Assistant Professor and TBO Group Faculty Fellow in the Department of Computer Science and Engineering at Indian Institute of Technology (IIT) Delhi. I am also closely associated with the Amar Nath and Shashi Khosla School of Information Technology, and the newly formed Yardi School of Artificial Intelligence. Before IIT Delhi, I have worked for 2.5 years at the Max Planck Institute for Software Systems (MPI-SWS) as a post-doctoral researcher. My PhD was 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. I have also worked at Microsoft Research 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, Legal Analytics, 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.