Ganesh Ramakrishnan
Scholar

Ganesh Ramakrishnan

Google Scholar ID: W1ZpREMAAAAJ
Professor, Department of Computer Science and Engineering, Indian Institute of Technology Bombay
Machine LearningRelational LearningInformation ExtractionQuestion AnsweringText Analytics
Citations & Impact
All-time
Citations
2,817
 
H-index
25
 
i10-index
53
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - IRCC impactful research award 2023 for ‘The Udaan Project ecosystem for Data-Efficient and Scalable End to end Document Machine Translation'
  • - Included in the AIM 100: Top 100 Most Influential Global Leaders in the AI domain in 2024
  • - National Award for eGovernance (Gold Award) in 2022 under the Category 'Outstanding research on Citizen Centric Services by Academic/Research Institution' for Video Analytics for Security and Compliance Applications
  • - Institute Chair Professorship 2021-2024
  • - Dr. P.K. Patwardhan Technology Development Award 2020 for Video Analytics for Security and Compliance Applications
  • - IRCC impactful research award 2017 for ‘Development of an adaptive framework for end-to-end corrections in Indic OCR
  • - J.R. Isaac Chair 2014-2016
  • - IBM Faculty Award 2011
  • - Amazon Research Award on Fairness for AI, July 2022 (Main PI: Preethi Jyothi)
  • - Computerworld Horizon Awards 2006 Honoree
  • - Department Award for Excellence in Teaching 2023
Research Experience
  • - Bank of Baroda Chair Professor in Digital Entrepreneurship (starting 28th May, 2024 for a period of 3 years)
  • - Professor, Department of Computer Science and Engineering, IIT Bombay
  • - Professor-in-Charge, Koita Centre for Digital Health
  • - Co-PI for the National Disease Modelling Consortium (NDMC)
  • - Formerly Research Staff Member, IBM India Research Lab
Background
  • Research interests include digital health, video analytics, and data-efficient machine learning. Specializes in Computer Science and Engineering.
Miscellany
  • BharatGen project: World's first government-funded Multimodal Large Language Model project focused on creating efficient and inclusive AI in Indian languages.
  • Udaan project: An Indian Language End-to-End Translation Ecosystem for Breaking the Language Barrier in Education.
  • DECILE project: Data efficient Machine Learning, aiming to reduce training time and cost while maintaining accuracy.
Co-authors
0 total
Co-authors: 0 (list not available)