基本信息
views: 323

Bio
Prof. Ravindran is the head of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI) at IIT Madras and a professor in the Department of Computer Science and Engineering. He is also the co-director of the reconfigurable and intelligent systems engineering (RISE) group at IIT Madras, which has nearly 80 members associated with it currently. He has nearly two decades of research experience in machine learning and specifically reinforcement learning. He has held visiting positions at the Indian Institute of Science, Bangalore, India and University of Technology, Sydney, Australia. Currently, his research interests are centred on learning from and through interactions and span the areas of data mining, social network analysis, and reinforcement learning.He is one of the founding executive committee members of the India chapter of ACM SIGKDD and is currently serving as the president of the chapter. He has published nearly 100 papers in journals and conferences, including premier venues such as ICML, AAAI, IJCAI, ICDM, ICLR, NIPS, UAI, ISMB, and AAMAS. He has also co-authored the chapter on reinforcement learning in the Handbook of Neural Computation published by Oxford University Press. He has been on the program committees of several premier conferences as well as served as the program co-chair of PAKDD in 2010 and the General co-chair of the 2015 Big Data Summit at Sydney. He is currently serving on the editorial boards of PLOS One and Frontiers in Big Data. He has been closely collaborating with various industrial research labs, such as Ericsson Research and Development, KLA Tencor, Intel Labs, Applied Materials, Adobe Research, Bosch, IBM India Research Labs, Yahoo! Labs and General Motors, working on applications of data mining and machine learning techniques to hard real-world problems. He received Yahoo! Faculty research gifts in 2009 and 2014 to work on mining real-world text data and unrestricted research gifts from KLA Tencor in 2014, 2015 and 2017. He also serves on the advisory boards of several startups in the data analytics and AI space.
Research Interests
Papers共 311 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Ambreesh Parthasarathy,Chandrasekar Subramanian, Ganesh Senrayan, Shreyash Adappanavar, Aparna Taneja,Balaraman Ravindran,Milind Tambe
arxiv(2025)
Cited0Views0Bibtex
0
0
IEEE Transactions on Affective Computingno. 99 (2025): 1-13
CoRR (2024)
Cited0Views0EIBibtex
0
0
2024 IEEE/ACM 21ST INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES, MSRpp.140-141, (2024)
Yogesh Tripathi, Raghav Donakanti,Sahil Girhepuje, Ishan Kavathekar, Bhaskara Hanuma Vedula,Gokul S. Krishnan,Anmol Goel,Shreya Goyal,Balaraman Ravindran,Ponnurangam Kumaraguru
Frontiers in Artificial Intelligence and Applications Legal Knowledge and Information Systems (2024)
Yogesh Tripathi, Raghav Donakanti,Sahil Girhepuje, Ishan Kavathekar, Bhaskara Hanuma Vedula,Gokul S Krishnan,Shreya Goyal,Anmol Goel,Balaraman Ravindran,Ponnurangam Kumaraguru
arXiv (Cornell University) (2024)
AUTOMATION IN CONSTRUCTION (2024)
ICLR 2024 (2024)
Cited0Views0Bibtex
0
0
Atharvan Dogra, Krishna Pillutla,Ameet Deshpande, Ananya B Sai, John Nay,Tanmay Rajpurohit,Ashwin Kalyan,Balaraman Ravindran
arxiv(2024)
Cited0Views0Bibtex
0
0
PROCEEDINGS OF 7TH JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MANAGEMENT OF DATA, CODS-COMAD 2024pp.430-438, (2024)
Load More
Author Statistics
#Papers: 316
#Citation: 5792
H-Index: 37
G-Index: 63
Sociability: 6
Diversity: 3
Activity: 42
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn