Saptarshi Ghosh

Assistant Professor

Department of Computer Science and Engineering

Indian Institute of Technology Kharagpur

Kharagpur - 721302, West Bengal, India.


saptarshi @ cse . iitkgp . ac . in

saptarshi . ghosh @ gmail . com

Brief Bio

I am an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India. My primary research interests at present are in Social network analysis, Legal data analytics, and Algorithmic bias and fairness. My research uses techniques from Machine Learning, Natural Language Processing, Information Retrieval, and Complex Network Theory.

I received my PhD in Computer Science from IIT Kharagpur in 2013. I was a Humboldt Post-doctoral research fellow at the Max Planck Institute for Software Systems (MPI-SWS), Germany. I have also been an Assistant Professor at the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, India.

Google scholar profile | Scopus profile | DBLP profile

Note about internships: The Department of CSE, IIT Kharagpur has a summer internship program - you can apply here if you are interested. There is no scope for winter internship at IITKGP. I personally do not offer internships at IITKGP. Apologies for not being able to personally reply to the numerous emails about internships.


  • Paper accepted in International Conference on Artificial Intelligence and Law (ICAIL) 2021: Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents. Congratulations Paheli and Soham !!

  • Congratulations Moumita for defending her PhD at IIEST Shibpur (co-supervised with Prof. Sipra DasBit). Thesis: Utilizing Social Media for Post-Disaster Resource Allocation and Emergency Preparedness

  • Congratulations Shalmoli for defending her MS at IIT Kharagpur. Thesis: Utilizing Social Media for Health Analytics !!

  • Honoured to be appointed as the Head of a Max Planck Partner Group of MPI-SWS, Germany. The group will pursue research on Algorithmic Bias and Fairness. Thanks Professor Krishna Gummadi for the support!!

  • Paper accepted in ACM FAccT 2021: When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. Congratulations Abhisek !!

  • TCG CREST sponsors project: Smart Legal Consultant: AI-based Legal Analytics. Thanks for the support !!

  • Paper accepted in Workshop on Data Analytics for Smart Health (with IEEE BigData) 2020: Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention. Congratulations Shalmoli !!

  • Paper accepted in Workshop on Fair and Interpretable Learning Algorithms (with IEEE BigData) 2020: Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. Congratulations Anurag Shandilya, Abhisek !!

  • Paper accepted in COLING 2020: Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need. Congratulations Shounak !!

  • Paper accepted in CIKM 2020: ZSCRGAN: A GAN-based Expectation-Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. Congratulations Anurag !!

  • M.Tech. thesis of Shounak Paul (joint student with Dr. Pawan Goyal) awarded Best M.Tech. Thesis of CSE Department, IITKGP. Congratulation Shounak !!

  • Our paper Identification of Rhetorical Roles of Sentences in Indian Legal Judgments awarded the JURIX 2019 Best Paper Award. Congratulations to Paheli, Shounak, Kripabandhu and Adam !! Media coverage: The Economic Times, Hindustan Times and India Today