Haimonti Dutta

Associate Professor
Management Science and Systems


PhD, University of Maryland, Baltimore County
MS, Temple University
BCSE, Jadavpur University, India


  • Large-scale analytics/big data analytics
  • Machine learning
  • Distributed computing


  • Data mining and machine learning
  • Large-scale analytics
  • Distributed and parallel data mining
  • Distributed optimization
  • Probabilistic inference
  • Machine learning in crowdsourcing
  • Big data
  • Ubiquitous and data-intensive computing

Applications: health care, smart environments (smart electrical grid, vehicles, buildings, wearable sensors) and digital humanities

Selected Publications

Haimonti Dutta, Alex Kamil, Manoj Pooleery, Simha Sethumahadevan, and John Demme,”Distributed Storage of Large Scale Multidimensional Electroencephalogram Data using Hadoop and HBase”, Grid and Cloud Database Management, Springer, 2011.

Xianshu Zhu, Tushar Mahule, Haimonti Dutta, Sugandha Arora, Hillol Kargupta, Kirk D. Borne."Peer-to-peer distributed text classifier learning in PADMINI." Statistical Analysis and Data Mining 5 (5): 446-462, 2012.

Cynthia Rudin, David Waltz, Roger N. Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome, DelÞna Isaac, Arthur Kressner, Rebecca J. Passonneau, Axinia Radeva and Leon Wu, “Machine Learning for the New York City Power Grid", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol 34(2), Pages 328-345, 2012.

Cynthia Rudin, Rebecca J. Passonneau, Axinia Radeva, Haimonti Dutta, Steve Ierome, Delfina Isaac, "A process for predicting manhole events in Manhattan.", Machine Learning, Vol 80(1), Pages 1-31, 2010.

Hillol Kargupta, Byung Hoon Park, Haimonti Dutta. “Orthogonal Decision Trees”, IEEE Transactions on Knowledge and Data Engineering, Vol 18(7), July 2006.


"An Early Warning Device to Allow Epilepsy Patients to Lead a More Normal Life" 

  • Funding agency: Research Initiatives in Science and Engineering (RISE), Columbia University, New York
  • Amount: $170,000 for two years
  • Collaborators: Dr David Waltz, Dr. Catherine Schevon, Dr. Ron Emerson, Dr. Gail Kaiser, Dr. Ansaf Salleb-Aouissi, Phil Gross and Hatim Diab

"EEGMine: A Distributed Framework for Learning on EEG Data from Epilepsy Patients"

  • Funding agency: National Science Foundation
  • Amount: $440,000 for three years
  • Collaborators: Dr. David Waltz, Dr. Catherine Schevon and Dr. Ronald Emerson

"Intracranial EEG Acquisition System with Online Fast Ripple Detection"

  • Funding agency: Epilepsy Research Foundation
  • Amount: $200,000 for two years
  • PI: Dr. Catherine Schevon; Co-PI: Dr. David Waltz and Dr. Haimonti Dutta

"Development of Distributed Algorithms for Incremental Sensing and Communication"

  • Funding agency: EMC, India
  • Amount: $20,000 (INR: 8 lakhs)
  • PI: Dr. Amarjeet Singh, Co-PI: Dr. Haimonti Dutta

"A Distributed Framework for Learning on EEG Data Obtained from Epilepsy Patients"

  • Funding agency: Amazon Web Services (AWS) in Education, Amazon Inc.
  • Amount: $3,000 Infrastructure, use of Amazon EC2
  • PI: Dr. Haimonti Dutta

"Leveraging 'The Wisdom of the Crowd' for Efficient Tagging and Retrieval of Documents from the Historic Newspaper Archive of the New York Public Library"

  • Funding agency: National Endowment for Humanities 

  • Amount: $49, 452
  • PI: Dr. Haimonti Dutta; Co-PI: Dr. Rebecca Passonneau and Dr. David Waltz

“Using Machine Learning to Understand the Scaling Behavior of the GFDL FMS High Resolution Atmosphere Model on the Argonne BG/Q System”

  • Funding Agency: Argonne National Labs
  • Amount: $43,000
  • PI: Dr. Jeffrey Durachta, Co-PI: Dr. Haimonti Dutta

Awards and Recognition

  • ICMLA paper on “Distributed Optimization Strategies for Mining on Peer-to-Peer Networks” nominated for the Best Paper Award, 2008
  • Dissertation Fellowship Award, UMBC Graduate School, 2007
  • Dr. B.C. Roy Scholarship for outstanding academic achievement, 1993-94

Professional Affiliations

  • Special Interest Group in Relational Learning (SIGRL), IIIT-Delhi
  • Member of DataLab, IIIT-Delhi and TCS Innovation Research Labs, Delhi
  • Affiliated Member, Institute of Data Sciences and Engineering, Columbia University, New York
  • Adjunct Faculty, IIIT-Delhi, 2014-16