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Department of Computer Science and Engineering
Sonia Khetarpaul
Assistant Professor
Department of Computer Science and Engineering,
School of Engineering
Email Contact:
Education Details:
  1. Ph. D (Thesis Submitted), Computer Science, Indian Institute of Technology, Delhi, India, 2017
  2. M.Tech., Information Technology, Guru Gobind Singh Indraprastha University, Delhi, India, 2004
  3. M.Sc., Information Technology, Guru Jambheshwar University of Science and Technology, Hissar, Haryana, India, 2001
  4. B.Sc., Computer Science, Maharshi Dayanand University, Rohtak, Haryana, India, 1999
Professional Experience:
  1. Teaching Assistant (Jan 2010-Dec 2015)
    Indian Institute of Technology, Delhi

  2. Assistant Professor (July 2004- Dec 2009)
    Northern India Engineering College, Delhi
    (Affiliated to Guru Gobind Singh Indraprastha University, Delhi, India)

  3. Lecturer (July 2001- July 2004)
    Guru Premsukh Memorial College of Engineering, Delhi
    (Affiliated to Guru Gobind Singh Indraprastha University, Delhi, India)
Research Interests:
My research interests span the broad area of data analytics with the particular focus on graph mining, social network analysis, querying and mining spatio-temporal data, and data fusion.
Select Publications
  1. Sonia Khetarpaul, S. K. Gupta, and L. Venkata Subramaniam. Spatiotemporal social (STS) data model: correlating social networks and spatiotemporal data. Social Network Analysis and Mining, 6 (1), Springer (2016): 81, Print ISSN: 1869-5450, Online ISSN: 1869-5469.

  2. Sonia Khetarpaul, S. K. Gupta, Shikhar Malhotra, and L. Venkata Subramaniam. Correlating Social Interconnections of Users with Spatio-Temporal Check-ins Behavior. In Proceedings of the 11th International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM16) in Cooperation with IEEE ICDM 2016.

  3. Sonia Khetarpaul, S. K. Gupta, Shikhar Malhotra, and L. Venkata Subramaniam. Bus Arrival Time Prediction Using a Modified Amalgamation of Fuzzy Clustering and Neural Network on Spatio-Temporal Data. In Australasian Database Conference, pp. 142-154. Springer International Publishing, 2015, Print ISBN: 978-3-319-19547-6, Online ISBN: 978-3-319-19548-3.

  4. Sonia Khetarpaul, S. K. Gupta, and L. Venkata Subramaniam. Analyzing Travel Patterns for Scheduling in a Dynamic Environment. In Availability, Reliability, and Security in Information Systems and HCI, pp. 304-318. Springer Berlin Heidelberg, 2013, Print ISBN: 978-3-642-40510-5, Online ISBN: 978-3-642-40511-2.

  5. Sonia Khetarpaul, S. K. Gupta, L. Venkat Subramaniam, and Ullas Nambiar. Mining GPS traces to recommend common meeting points. In Proceedings of the 16th International Database Engineering & Applications Sysmposium, pp. 181-186. ACM, 2012, ISBN: 978-1-4503-1234-9.

  6. Sonia Khetarpaul, Rashmi Chauhan, S. K. Gupta, L. Venkata Subramaniam, and Ullas Nambiar. 2011. Mining GPS data to determine interesting locations. In Proceedings of the 8th International Workshop on Information Integration on the Web: in conjunction with WWW 2011 (IIWeb ’11). ACM, New York, NY, USA, Article 8, 6 pages, ISBN: 978-1-4503-0620-1.

  7. Sonia Khetarpaul, S K Gupta, Rashmi Chauhan, SR-Match: A Novel Schema Matcher based on Semantic Relationship. In Proceedings of the 5th international conference on Information Processing ICIP 2011, Bangalore, India. Published in Communications in Computer and Information Science, vol. 157. Springer-Verlag, Berlin, Heidelberg, pages 93-102, 2011, Print ISBN: 978-3-642-22785-1, Online ISBN: 978-3-642-22786-8.

National and International Recognition:
Received IBM PhD Fellowship
Executive Summary
Sonia Khetarpaul has submitted her Ph.D. Thesis in Computer Science and Engineering from IIT Delhi, with the title “Analyzing Moving Objects data in Spatio-Temporal Space and Social Networks”. She received her M.Tech. degree in Information Technology from GGSIP University, Delhi. She has 14 years of experience in teaching and research. She has taught various courses in Computer Science and focused on Database Systems. Her research interests span broad area of data analytics, particular focus on querying and mining spatio-temporal data, social networks data, trajectory data mining, graph mining, etc.
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