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Professor: Computer Science and Engineering Member: AI Labs@CSE Also associated with: Center of Machine Intelligence and Data Science KR 220: Kanwal Rekhi Building IIT Bombay Powai, Mumbai-400076. sunita [at] iitb.ac.in

Research Publications Professional Activities Education and Experience Teaching Students Talks Bio

Research Interest

My topics of interest span several fields including machine learning, data analytics, databases and statistics. My current research interests are sequence models for text and time-series, domain adaptation, effective human intervention in learning, graphical models and structured learning.
A good idea about my research interests can be obtained by following my publications. Also, please visit this page to know more about our current team and ongoing research projects.

Office Hours:

Usual schedule: Tuesday 10--11am and Friday 12:00pm to 1:00pm. At other times by appointment.

Education and Affiliations

• Professor, IIT Bombay
• Founding head, Center for Machine Intelligence and Data Science (CMInDS), IIT Bombay (March 2020--June 2023)
• Visiting Scientist at Google Research, Mountain View, CA (July 2014 to June 2016)
• Visiting associate professor at the Computer science department of CMU (Jan 2004 -June 2004).
• Research Staff Member in the QUEST database mining group at IBM Almaden Research Center  from Aug 96 to Feb 99.
• PhD: Computer Science Division at the University of California, Berkeley. Thesis title: Query processing in tertiary memory databases, Thesis advisor: Michael Stonebraker.
• BTech: Computer Science and Engineering, Indian institute of technology, Kharagpur.

Selected professional activities

• IT Sub-committee of Reserve Bank of India, 2018-
• IEEE John Von Neumann Medal committee2017-
• VLDB 2011 Research track Co-chair
• VLDB member of the endowment board (2008--)
• ACM SIGKDD 2008 PC Co-chair
• ACM SIGKDD, member of the Board of directors (2005-present)
• SIGKDD Explorations, Editor-in-chief (2003-2005), Associate Editor (1999 - 2002)
• ACM TODS, Editorial board(2004-2007)
• ACM Transactions on KDD, Editorial board(2005-present)
• Foundations and Trends® in Machine Learning Editorial board (2007-present)
• IEEE Data Engineering Bulletin, Associate Editor (2000 to 2001)
• Senior PC, Vice chair etc
• ICML 2008
• KDD 2011, KDD 2012, KDD 2013, KDD 2014
• NIPS 2011, 2012
• WSDM 2015
• Knowledge discovery and data mining track,   ICDE 2000
• ICDE 2008
• SIGMOD 2009, 2015
• Award committees
• VLDB Early career researcher, Ten year best paper awards (2013-2014)
• ACM SIGKDD 2010,2013, 2014: Innovation award and service award committee
• ACM SIGKDD 2001, 2009, 2010, 2014 Best paper award committee
• Program committe member
  • ACM SIGKDD 2006 Workshop chair
  • ACM SIGMOD 1998, 2002 (Demo committee), 2003, 2005, 2006
  • VLDB 2000, 2002, 2004, 2007
  • ACM SIGKDD 2001 (also in Best paper award committee), 2003, 2004, 2005, 2009 (Best paper committee), 2010 (Best paper committee)
  • ICML: 2003, 2011, 2013
  • IEEE ICDE 98, 2001, 2002, 2003, 2005, 2006 (demo)
  • IEEE ICDM, Vice chair 2005
  • EDBT 2006,2011
  • EMNLP 2014
  • COMAD 2000, 2005, 2008,2010
  • WWW 2006, 2013
  • CIDR 2009, 2010
  • WSDM 2013
• Others
  • ICDE 2010 Tutorial chair
  • WWW 2011 Tutorial chair

Teaching

• Probabilistic Foundations of AI Fall 2025,
• Advanced Machine learning, Spring 2010, Spring 2011, Spring 2012, Spring 2014, 2016--2024
• Data Analysis and Interpretation. Autumn 2025
• Foundations of Machine learning, Autumn 2009, Autumn 2012, 2013, 2019, 2023
• Introduction to Machine Learning, Autumn 2011
• CS 627: Graphical models and structured learning Spring 2008
• CS 636: Data mining Fall 2007
• IT655:Advanced data mining: Probabilistic graphical models , Spring 2006, Spring 2007
• IT608: Data warehousing and data mining, Spring 2000-03, 2005, Fall 2005, Fall 2006
• IT655:Advanced data mining: Beyond record data mining: Prediction with richer structures (sequences, trees, and graphs) , Fall 2004
• IT603: Data Base Management Systems, Fall 1999, 2001
• IT619: Graduate Software Lab, Autumn 2000

Publications

Patents

• 1 6,324,533 Integrated database and data-mining system
• 2 6,189,005 System and method for mining surprising temporal patterns
• 3 6,094,651 Discovery-driven exploration of OLAP data cubes
• 4 5,832,475 Database system and method employing data cube operator for group-by operations

Old Talks (Pre-2010)

• Statistical Machine Learning for Complex Predictions in Large-scale Scenarios, Invited speaker at the International Colloquium on Perspectives in Fundamental Research, Homi Bhabha Birth Centenary Event. March 2010.
• Structured learning. Tutorial at Machine Learning Winter School, Bangalore Jan 2010. Slides: part 1 and part 3 part 2
• Queries over unstructured data: probabilistic methods to the rescue. Keynote talk at BIRTE 2009 slides
• Structured prediction models in information extraction. Invited talk at the Data mining Forum Hongkong May 2008
• The Role of Probabilistic Graphical Models in Databases. Tutorial at VLDB 2007. (with Amol Deshpande) Slides
• Scalable information extraction and data integration. Tutorial at KDD 2006. (with Eugene Agichtein) Slides
• Record linkage: Similarity measures and algorithms Tutorial at SIGMOD 2006 (with Nick Koudas and Divesh Srivastava). Slides
• Graphical models for structure extraction and information integration. Keynote talk at ICDM 2005, Nov 2005. Slides
• Models and indices for integrating unstructured data with a relational database. Keynote talk at KDID workshop, ECML/PKDD, September 2004.
• Sequence data mining. Tutorial at KDD 2003 (with Mark Craven). Slides
• Automation in Information extraction and data integration. Tutorial at VLDB 2002. Slides