Professor Computer Science and Engineering Associate professor 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

Office Hours:

Usual schedule: Monday and Friday from 11:00am to 12:00pm. 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

• Advanced Machine learning, Spring 2010, Spring 2011, Spring 2012, Spring 2014, Fall 2016--2025
• 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