Balaraman Ravindran Home Page
Professor
Email : ravi [at] cse [dot] iitm [dot] ac [dot] in   |   Phone : (+91)-44-2257-4370
Lab(s) : AIDB Lab, IIL Lab.
Link to Personal Homepage

Research Interests :

Machine learning, Reinforcement learning, Social Network Analysis, Data and text mining

Publications : (Last Five, while at IITM)DBLP | View All

  • MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. 
    Authors : Aravind Venugopal, Stephanie Milani, Fei Fang , Balaraman Ravindran
    Appeared in Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024 (AAMAS 2024) ,pp.1865-1873, May 2024
  • Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis. 
    Authors : Sangameshwar Patil, Balaraman Ravindran
    Appeared in 21st IEEE/ACM International Conference on Mining Software Repositories, MSR 2024, Lisbon, Portugal, April 15-16, 2024 (MSR 2024) ,pp.140-141, Apr 2024
  • Cost-Sensitive Trees for Interpretable Reinforcement Learning. 
    Authors : Siddharth Nishtala, Balaraman Ravindran
    Appeared in Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024, pp.91-99, Jan 2024
  • Guiding Offline Reinforcement Learning Using a Safety Expert. 
    Authors : Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran
    Appeared in Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024, pp.82-90, Jan 2024
  • A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. 
    Authors : Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran
    Appeared in Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024, pp.430-438, Jan 2024

(Recent) Teaching : View All  |  Back to top

Jan 2023 - May 2023 : - Big Data Laboratory (CS4830)
Jan 2023 - May 2023 : - Reinforcement learning (CS6700)
Jan 2022 - Apr 2022 : - Big Data Laboratory (CS4830)
Jan 2022 - Apr 2022 : - Reinforcement learning (CS6700)
Aug 2021 - Dec 2021 : - Pattern Recognition and Machine Learning (CS5691)

(Current) Advisees View All  |  Back to top

ProgramNameRoll No.Joining DateFunding
PhDSangameshwar Suryakant PatilCS11D007Jul 2011EXTERNAL
PhDPriyatosh MishraCS13D024Jul 2013PROJECT
PhDSudarsun SanthiappanCS13D030Jul 2013PROJECT
PhDAbhishek GhoseCS15D004Jan 2015PART-TIME
PhDJoseph Hosanna Raj I.CS15D304Jul 2015HTRA
PhDTarun KumarCS15D017Jan 2016HTRA
PhDAvinash SharmaCS16D401Jul 2016HTRA
PhDGautham MuthravichandranCS16D020Dec 2016PARTTIME
PhDChandrasekar SubramanianCS19D010Jan 2020HTRA
PhDRicha VermaCS20D020Sep 2020HTRA
PhDArgha BoksiCS21D407Jan 2022HTRA
PhDReturaj BurnwalCS21D406Jan 2022HTRA
MSPrasanna PCS14S016Jan 2014PROJECT (NHTRA)
MSDeepak MittalCS15S014Jan 2015PROJECT
MSGirraj PahariyaCS15S017Jan 2015PROJECT
MSPriyesh VCS15S012Jan 2015PROJECT
MSAkash JainCS15S037Jul 2015PROJECT
MSBeethika TripathiCS15S004Jul 2015HTRA
MSNikita MogheCS16S016Jul 2016PROJECT
MSKarthik ThiagarajanCS16S027Dec 2016PROJECT
MSPavan RavishankarCS17S026Jul 2017HTRA
MSKakadiya Ashutosh DilipbhaiCS18S013Jul 2018HTRA
MSRajan Kumar SoniCS18S038Jan 2019HTRA
MSDebargha BhattacharjeeCS19S028Jan 2020HTRA
MSPranshu MalviyaCS19S031Jan 2020PROJECT
MSKartikCS20S020Sep 2020
MSManoj BharadwajCS20S056Jan 2021PROJECT
M.TechVinamr GoelCS15M052Jul 2015HTTA



News/Announcements

  • Oct 6, 2023 : CSE Bytes (read more)
  • Sep 15, 2023 : Professor B. Ravindran has been elected as Fellow of INAE (read more)
  • Sep 29, 2019 : B. Ravindran has been awarded the Mindtree Faculty Fellowship (read more)
  • Jul 14, 2018 : Article by Prof. Balaraman Ravindran titled "AI, a Boon or Bane? That is the question" has been published by Forbes India magazine. (read more)
(View All)