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Draft:Ganesh Ramakrishnan

From Wikipedia, the free encyclopedia
Ganesh Ramakrishnan
CitizenshipIndian
EducationIndian Institute of Technology Bombay (B.Tech., 2000; Ph.D., 2005)
Known forBharatGen; DECILE; statistical relational learning; Indic-language AI
AwardsNational Award for e-Governance (2022); AIM 100 (2024); Dr. APJ Abdul Kalam HPC & AI Award (2026)
Scientific career
WorkplacesIndian Institute of Technology Bombay
IBM India Research Laboratory
Soumen Chakrabarti, Pushpak Bhattacharyya
Websitewww.cse.iitb.ac.in/~ganesh/

Ganesh Ramakrishnan is an Indian computer scientist and academic. He is the Bank of Baroda Chair Professor in Digital Entrepreneurship in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay (IIT Bombay).[1] He is the principal investigator of BharatGen, a government-funded initiative to build multilingual, multimodal generative AI foundation models for Indian languages, and is Professor-in-Charge of the Koita Centre for Digital Health at IIT Bombay.[1][2] His research addresses machine learning, natural language processing, information extraction, and data-efficient AI.[1] In 2026 he received the Dr. APJ Abdul Kalam HPC & AI Award from IIT Bombay.[3]

Early life and education

[edit]

Ramakrishnan completed a B.Tech. at IIT Bombay in 2000 and remained at the institute for doctoral study, receiving a Ph.D. in 2005 from the Department of Computer Science and Engineering.[4] His doctoral work was supervised by Soumen Chakrabarti and Pushpak Bhattacharyya, and he collaborated during this period with Sunita Sarawagi, all faculty in the same department.[5]

Career

[edit]

Before returning to academia, Ramakrishnan was a Research Staff Member at the IBM India Research Laboratory, where he contributed to text-mining and information-extraction systems, including IBM's SystemT information-extraction engine and the OmniFind Personal E-mail Search tool.[1][4]

He joined IIT Bombay as an Assistant Professor in 2009, was promoted to Associate Professor in 2013, and became a full Professor in 2019.[5] He held the J. R. Isaac Chair from 2014 to 2016 and was an Institute Chair Professor from 2021 to 2024.[1] Since May 2024 he has held the Bank of Baroda Chair Professorship in Digital Entrepreneurship.[1] He also serves as Professor-in-Charge of the Koita Centre for Digital Health (KCDH), established at IIT Bombay in 2021 with alumni funding to advance research and academic programmes in digital health and healthcare informatics.[6] Through KCDH he has built collaborations with institutions including the Johns Hopkins University Gupta-Klinsky India Institute on joint digital-health research grants.[7]

Research

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Ramakrishnan's research interests include feature induction and relational learning, entity and relation extraction (including under distant supervision), information extraction and summarisation, subset-selection problems in machine learning, and learning with multiple labels, multiple instances, and multivariate loss functions.[1] Earlier in his career he worked on statistical relational learning and inductive logic programming, contributing to tools including BET, an inductive logic programming system, and Sandhan, an Indian-language search engine.[8]

He has also worked on optical character recognition and scene-text recognition for Indian languages, and on video analytics for security and compliance applications, the latter earning the Dr. P. K. Patwardhan Technology Development Award and a national e-governance award (see Awards and honours).[1] As of 2026, his publications had been cited over 5,000 times on Google Scholar, with work appearing at venues including ACL, KDD, AAAI, IJCAI, ICML, and COLING.[9]

DECILE and data-efficient machine learning

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Ramakrishnan co-leads DECILE, an initiative with Rishabh Iyer, an assistant professor at the University of Texas at Dallas, to build open-source tools for training machine-learning models with less labelled data, less compute, and lower energy cost.[10] The initiative's libraries, released under the decile-team organisation on GitHub, include CORDS (coreset and data-subset selection), DISTIL (deep diversified interactive learning, an active-learning library), SubmodLib (a submodular-optimisation library), SPEAR (semi-supervised data programming), and TRUST (targeted subset selection).[10][11][12]

Research underlying the toolkits was developed with students including Krishnateja Killamsetty, Durga Sivasubramanian, Suraj Kothawade, Nathan Beck, Vishal Kaushal, Ayush Maheshwari, and Vineeth Dorna, and published at AAAI, ICML, and NeurIPS, including GLISTER (AAAI 2021), GRAD-MATCH (ICML 2021), and AUTOMATA (NeurIPS 2022).[13][14]

BharatGen and Indic-language AI

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Ramakrishnan is the principal investigator of BharatGen, a government-backed consortium involving IIT Bombay, IIT Madras, IIT Hyderabad, IIT Kanpur, IIIT Hyderabad, IIM Indore, and IIT Mandi, funded through the Department of Science and Technology's NM-ICPS programme, to build multilingual, multimodal generative AI foundation models for India.[15] The project has been described in media coverage as the world's first government-funded initiative of its kind.[16] Under his leadership, the consortium released Param-1, a 2.9-billion-parameter bilingual large language model trained with a higher proportion of Indic-language data than comparable global models, and developed speech models covering nineteen Indian language variants hosted on AIKosha, India's national AI data and model repository.[2]

In 2025, BharatGen received further government funding under the IndiaAI Mission — ₹988.6 crore, reported as the largest single allocation under the Ministry of Electronics and Information Technology's programme — to build a larger foundation model intended to be distilled into smaller, sector-specific models for law, agriculture, and finance.[17] He was named to the AIM 100: The Most Influential Global Leaders in AI list for 2024, published by Analytics India Magazine.[1][16]

Translational projects

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Ramakrishnan and his students have developed several technologies transferred to industry, including Udaan, an Indian-language machine-translation ecosystem for education licensed to Bharat Bhasha Tech; video-surveillance analytics software licensed to SrivisifAI; OCR and scene-text recognition software for Indian languages; Corontine, a geofenced contact-tracing application developed during the COVID-19 pandemic; and Lokacart, an inventory-management application for small businesses and farmer groups, later licensed to Strategic ERP.[1][18]

Public and advisory roles

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Ramakrishnan has served on programme committees for AAAI, IJCAI, KDD, ACL, COLING, and ICML, and was workshop co-chair for PAKDD 2021.[1] He serves as a disease- and economic-modelling expert member of India's National Technical Advisory Group on Immunization (NTAGI), under the Ministry of Health and Family Welfare, and as co-principal investigator of the National Disease Modelling Consortium.[1]

Awards and honours

[edit]
  • Dr. APJ Abdul Kalam HPC & AI Award, IIT Bombay (2026)[3]
  • AIM 100: The Most Influential Global Leaders in AI, Analytics India Magazine (2024)[16]
  • National Award for e-Governance (Gold Award), Department of Administrative Reforms and Public Grievances, Government of India (2022)[1]
  • IRCC Impactful Research Award, IIT Bombay, for the Udaan Project ecosystem for document machine translation (2023)[1]
  • Dr. P. K. Patwardhan Technology Development Award, IIT Bombay (2020)[1]
  • IRCC Impactful Research Award, IIT Bombay, for an adaptive framework for end-to-end corrections in Indic OCR (2017)[1]
  • IBM Faculty Award (2011)[1]
  • Computerworld Horizon Award honoree (2006)[19]

Selected publications

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  • Killamsetty, K., Sivasubramanian, D., Ramakrishnan, G., Iyer, R. (2021). "GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning." AAAI Conference on Artificial Intelligence.
  • Killamsetty, K., Sivasubramanian, D., Ramakrishnan, G., De, A., Iyer, R. (2021). "GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training." International Conference on Machine Learning (ICML).
  • Kaushal, V., Ramakrishnan, G., Iyer, R. (2022). "SubmodLib: A Submodular Optimization Library." arXiv:2202.10680.
  • Abhishek, G. S., Ingole, H., Laturia, P., Dorna, V., Maheshwari, A., Ramakrishnan, G., Iyer, R. (2021). "SPEAR: Semi-supervised Data Programming in Python." arXiv:2108.00373.

References

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  1. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 "Prof. Ganesh Ramakrishnan". Department of Computer Science and Engineering, IIT Bombay. Retrieved 2026-08-26.
  2. 1 2 "Ganesh Ramakrishnan's BharatGen Vision: Inclusive, diverse, self-reliant". Forbes India. 2025.
  3. 1 2 "Dr. APJ Abdul Kalam HPC and AI Award 2026". IIT Bombay. Retrieved 2026-08-26.
  4. 1 2 "Ganesh Ramakrishnan curriculum vitae excerpt". Retrieved 2026-08-26.
  5. 1 2 "Ganesh Ramakrishnan". OpenReview.net. Retrieved 2026-08-26.
  6. ↑ "IIT Bombay launches new centre for digital health". Careers360. 2021-06-11.
  7. ↑ "Empowering Health for All: Exploring Digital Innovations for Health Equity" (PDF). Gupta-Klinsky India Institute, Johns Hopkins University. 2023.
  8. ↑ "Ganesh Ramakrishnan". edX. Retrieved 2026-08-26.
  9. ↑ "Ganesh Ramakrishnan". Google Scholar. Retrieved 2026-08-26.
  10. 1 2 "Decile Workshop". decile.org. 2022. Retrieved 2026-08-26.
  11. ↑ "CORDS". GitHub.
  12. ↑ "DISTIL". GitHub.
  13. ↑ "GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning". arXiv.
  14. ↑ "GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training". arXiv.
  15. ↑ "IIT professor highlights BharatGen's challenges in building LLMs for 16 Indian languages". The Federal. 2025.
  16. 1 2 3 "Faculty Spotlight". IIT Bombay Alumni Association.
  17. ↑ "India's Sovereign AI: BharatGen Secures Rs 988.6 Crore Under IndiaAI Mission". The Tribune. 2025.
  18. ↑ "A look at how IIT Bombay-developed app Lokacart is looking to solve inventory woes of small businesses and farmers". Moneycontrol.
  19. ↑ "Computerworld Horizon Awards 2006 Honorees". Computerworld.

Category:Living people Category:Indian computer scientists Category:Machine learning researchers Category:Natural language processing researchers Category:Year of birth missing (living people)

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