I am currently the N. Rama Rao Chair Professor of Computer Science and Engineering at Indian Institute of Technology at Gandhinagar. Before this, I have worked in Yahoo! Labs Sunnyvale from 2006-2013. I acknowledge the kind support of Google Faculty Research Award (February 2015), Cisco Research University grant (May 2016), and Google India AI/ML award (2020).

email: firstname dot lastname at gmail, or, anirbandg at iitgn dot ac dot in .

NOTE: Unfortunately, I am not able to reply to individual emails about short term projects. If you are interested, please apply through the IITGN summer internship application websites, as and when they are put up.

Research Interests

  • Randomized algorithms, especially for large data-sets, large scale linear algebra and optimization

  • Modeling, analytics and mining of large social and information networks

  • Information extraction and aggregation problems in social computing systems, e.g. crowdsourcing

  • computational social science and crowdsourcing.


The current position listed here may be outdated.

Selected Recent Papers (more.., updated list at DBLP and Google Scholar):

Supratim Shit, Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta. Online Coresets for Parametric and Non-Parametric Bregman Clustering. Accepted in TMLR.

Rachit Chhaya, Anirban Dasgupta, Jayesh Choudhari, Supratim Shit. On Coresets for Fair Regression and Clustering. AISTATS 2022.

Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur: Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process. PAKDD 2021.

Anirban Dasgupta, Srijan Sengupta. Scalable estimation of epidemic thresholds via node sampling. Sankhya A 2021.

Rachit Chhaya, Jayesh Choudhari Anirban Dasgupta, Supratim Shit. Streaming Coresets for Symmetric Tensor Factorization. ICML 2020.

Rachit Chhaya, Anirban Dasgupta, Supratim Shit. Coresets for Regularized Regression. ICML 2020.

S Kulkarni, KS Phukon, Amit Reza, Sukanta Bose, Anirban Dasgupta, D Krishnaswamy, Anand Sengupta: Random projections in gravitational wave searches of compact binaries: Phys. Rev. D99 2019.

Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti: Task-Specific Representation Learning for Web-Scale Entity Disambiguation. AAAI 2018.

Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur: Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. ICDM 2018.

Flavio Chierichetti, Anirban Dasgupta, Shahrzad Haddadan, Ravi Kumar, Silvio Lattanzi: Mallows Models for Top-k Lists. NeurIPS 2018.

Jayesh Choudhari, Anirban Dasgupta, Neeldhara Misra and Ramanujan M. S.: Saving Critical Nodes with Firefighters is FPT. ICALP 2017.

Anirban Dasgupta, Ravi Kumar and Tamas Sarlos. : Caching with dual costs. WWW 2017.

Anirban Dasgupta, Kevin Lang, Lee Rhodes and Justin Thaler : A Framework for Estimating Stream Expression Cardinalities. International Conference of Database Technologies (ICDT) 2016. Best newcomer award.

Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar, Silvio Lattanzi and Tamas Sarlos.: On Sampling Nodes in a Network. Conference of the World Wide Wed (WWW) 2016.

Recent academic activities

Recent Program committees: ICML, NeurIPS, KDD, ICDM, WWW, WSDM, ASONAM...