2007 NSF Next Generation Data Mining Symposium
Recent Thoughts:
Economics of privacy-preserving data mining (ICDE'07 panel)
Data Mining in Vehicular Sensor Networks: Technical and Marketing Challenges (KDD'07 talk)
Thoughts on Human Emotions, Communication Breakthroughs, and the Next Generation of Data Mining (NGDM'07 talk)

Next Generation of Data Mining
Hillol Kargupta, Jiawei Han, Philip Yu, Rajeev Motwani, and Vipin Kumar
CRC Press

Data Mining: Next Generation Challenges and Future Directions
H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha

Advances in Distributed and Parallel Knowledge Discovery
Edited by Hillol Kargupta and Philip Chan

Hillol Kargupta is a Professor at the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County. He received his Ph.D. in Computer Science from University of Illinois at Urbana-Champaign in 1996. He is also a co-founder of AGNIK LLC, a ubiquitous data analytics company. His research interests include mobile and distributed data mining, mining in sensor networks, peer-to-peer data mining, privacy-preserving data mining, vehicular sensor networks. learn more

Upcoming/Recent Talks:
  • Invited Speaker, Sensor-KDD '12, ACM SIGKDD Conference, Beijing, China, August 12, 2012.
  • Keynote Speaker, 3rd International Conference on Sensor Systems and Software, Lisbon, Portugal, June 4--6, 2012.
  • Invited Speaker, The 36th Annual Conference of the German Classification Society, August 1-3, 2012.
  • Invited Speaker, Verge Confernce (Converging Energy, Information, Buildings & Transportation), March 14--16, DC 2012.
  • Invited speaker, Emergence of Ubiquitous Data Mining, Ubiquitous Data Mining Track, 19th European Conference on Artificial Intelligence - ECAI 2010, August 16--20, 2010.
  • Invited panelist, Advanced Report Monitoring of Vehicle Performance and Emissions, Clean Air Conference, Colorado, USA, September 29, 2010.
  • Invited speaker, "Securely Outsourcing Audio & Video Analytics: A DARPA ISAT Workshop", DARPA ISAT Workshop. April 29-20, 2009.
  • Invited speaker, "GIScience and Computational Transportation Sc." panel at the 2009 UCGIS Winter assembly, Feb 5, 2009.
  • Invited speaker, Workshop on Data Mining for Biomedical Applications, University of Florida, October 1, 2008.
  • Invited speaker, NASA Conference on Intelligent Data Understanding, September 9, 2008.
  • Invited speaker, IBM T. J. Watson Research Center, September 5, 2008.
  • Invited speaker, IEEE Data Mining Forum, Hong Kong, China, May 28-29, 2008.
  • Invited speaker, George Washington University, 17th April, 2008.
  • Invited speaker, Distributed Data Mining: Current Pleasures and Emerging Applications, University of Maryland at College Park, March, 2008.
  • Invited Speaker, 2nd European Summer School on Knowledge Discovery for Ubiq uitous Computing, March 3--9, 2008, Porto, Portugal.
  • Invited Lecture Series on Distributed Data Mining, University of Madrid, January, 2008.
  • Invited Keynote Speaker and panelist, KDUbiq/UBIComp Meeting, UBIComp'07.
  • Invited Keynote Speaker, Data Mining in Vehicular Sensor Networks: Technical and Marketing Challenges ACM SIGKDD Workshop on Knowledge Discovery from Sensor Data , ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'07), August 12, 2007.
  • Invited Keynote Speaker, Peer-to-Peer Data Mining: Local Algorithms, Privacy Issues, and Games Autonomous Intelligent Systems: Agents and Data Mining, St. Petersburg, Russia, June 3, 2007.
  • Invited speaker, Panel discussion on Economics of Privacy Preserving Data Mining, International Conference on Data Engineering (ICDE'07), Istanbul, April, 2007.
  • Invited Keynote Speaker, Privacy Preserving Data Mining: A Game Theoretic Perspective, IEEE International Conference on Data Mining Workshop on Privacy Aspects of Data Mining, Hong Kong, December 18, 2006.
  • Invited Keynote Speaker, Peer-to-Peer Distributed Data Stream Mining and Monitoring, ECML/PKDD 2006 Workshop on Knowledge Discovery from Data Streams, September 18, Berlin, Germany.
  • Invited Keynote Speaker, Data Mining Applications in Ubiquitous Environments: From Theory to Practice, European Union KDUbiq Meeting on Ubiquitous Data Mining , Ulm, Germany, June 30--July 1, 2006.
  • Invited speaker, Data Mining in Distributed Environment, Summer school on Ubiquitous data mining, Dortmund, Germany, July 2006.
  • Invited speaker, Distributed Privacy-Preserving Data Mining, Distinguishe d Lecture Series, University of Louisville, February, 2006.
  • Invited colloquium talk on Distributed Privacy-Preserving Data Mining, CS Dept, University of Ottawa, November, 2005.
  • Invited colloquium talk on Distributed Data Mining, CS dept., University of Notre Dame, September, 2005.

  • More information

    Department of Computer Science and Electrical Engineering
    1000 Hilltop Circle, University of Maryland Baltimore County
    Baltimore, MD 21250

    Email: FIRSTNAME AT cs DOT umbc DOT edu
    Voice: (410) 455-3972 Fax: (410) 455-3969


    Kids for Mumbai

    Research Interests:

    Distributed and ubiquitous data mining: Algorithm and experimental system development.

    Sustainable computing and data mining in a distributed environment. (Link to our work on greenhouse emissions for transportation industry)

    Distributed computation, knowledge discovery, and their influence on the society.

    Data stream mining for resource-constrained devices.

    Privacy issues in mining multi-party distributed data.

    Security and surveillance applications of distributed data mining.

    Mining in sensor networks, vehicular sensor networks.

    Related Links:

    Kargupta and co-authors win IEEE 10-Year Highest-Impact Paper Award.

    Kargupta's work with Sprint receives 2013 Frost & Sullivan Award.

    News from Agnik.

    Kargupta featured in Journeys to Data Mining Book from Springer.

    Kargupta becomes an IEEE Fellow, 2010.

    Kargupta's work selected as one the Top-10 Data Mining Case Studies in ICDM'2010.

    Kargupta's work receives 2010 Frost & Sullivan Enabling Technology of the Year Award.

    Kargupta receives 2008 IBM Innovation Award.

    P2P Distributed Data Mining Paper Selected for Best of 2008 SIAM Data Mining Conference Special Issue.

    Selected as the Most Interesting Paper of WebKDD'07, Client-side Web Mining for Community Formation in Peer-to-Peer Environments.

    Best Paper Award, 2003 IEEE International Conference on Data Mining.

    Distributed Data Mining Wiki

    News Story in Christian Science Monitor (11/27/02) P. 18 and ACM TechNews Volume 4, Issue 429



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