Rashmi Dutta Baruah

Ph.D.(2013)
School of Computing and Communications,
Lancaster University,United Kingdom

Assistant Professor
Department of Computer Science and Engineering,
Indian Institute of Technology Guwahati, Assam (781039), India
Email: r [dot] duttabaruah [@] iitg [dot] ernet [dot] in
(r.duttabaruah@iitg.ernet.in)
Phone: +91-361-2583253
Office: H-004

Areas of Interest
I am interested in real-life applications based on the principles and techniques from the areas:

(Evolving and Adaptive) Intelligent Systems, Computational Intelligence, (Online) Machine Learning, Learning from Data streams.

Publications

Journals:

  • R. Dutta Baruah, P. Angelov, "DEC: Dynamically Evolving Clustering and its Application to Structure Identification of Evolving Fuzzy Models", IEEE Transactions on Systems, Man, and Cybernetics, vol. 44, no.9, pp.1619-1631, 2014.
  • R. Dutta Baruah and P. Angelov, "Analysis of Evolving Social Network: Methods and Results from Cell Phone Data Set Case Study", International Journal of Social Network Mining, Inderscience Publisher, vol. 1, issue 13, pp. 254-279, 2013.
  • R. Dutta Baruah and P. Angelov, "Evolving fuzzy systems for data streams: a survey," Wiley interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 1, pp. 461-476, 2011.

Conferences:

  • A.M. Tripathi, R. Dutta Baruah, "Anomaly Detection in Data Streams Based on Graph Coloring Density Coefficients", in Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Dec 6-9, 2016, Athens, Greece, [Accepted].

    • A.M. Tripathi, D.Baruah, R. Dutta Baruah, "Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application", in Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Dec 7-10, 2015, Cape Town, South Africa, pp.1681-1686.

    • A.M. Tripathi, D.Baruah, R. Dutta Baruah, "Acoustic sensor based activity recognition using ensemble of one-class classifiers", in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) , Dec 1-3, 2015, Duoai, France, pp.1-7.
    • Sonia, A.M. Tripathi, R. Dutta Baruah, S.B.Nair, "Ultrasonic sensor-based human detector using one-class classifiers", in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) , Dec 1-3 ,2015, Duoai, France, pp.1-6.
    • R. Dutta Baruah, P. Angelov, Diganta Baruah,"Dynamically evolving fuzzy classifier for real-time classification of data streams", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 6-11, 2014, Beijing, China, pp.383-389.
    • R. Dutta Baruah, P. Angelov, Diganta Baruah,"Dynamically evolving clustering for data streams," in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) June 2-4,2014, Linz, Austria, pp. 1-6.
    • R. Dutta Baruah, P. Angelov, "Online Learning and Prediction of Data streams using Dynamically Evolving Fuzzy Approach", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 7-10, 2013, Hyderabad, India, pp. 1-8.
    • R. Dutta Baruah and P. Angelov, "Evolving local means method for clustering of streaming data," in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2012, Brisbane, Australia, 2012, pp. 1-8.
    • R. Dutta Baruah and P. Angelov, "Evolving social network analysis: A case study on mobile phone data," in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) 2012, Madrid, Spain, 2012, pp. 114-120.
    • J. Andreu, R. Dutta Baruah, P. Angelov, "Real Time Recognition of Human Activities from Wearable Sensors by Evolving Classifiers", in Proceedings of IEEE International Conference on Fuzzy Systems, June 27-30, 2011, Taiwan, 2011, pp. 2786-2793.
    • J.Andreu, R. Dutta Baruah, P. Angelov, "Automatic Scene Recognition for Low-Resource Devices using Evolving Classifiers", in Proceedings of IEEE International Conference on Fuzzy Systems, June 27-30, 2011, Taiwan, 2011, pp. 2779-2785.
    • R. Dutta Baruah, P. Angelov, J. Andreu, "Simpl_eClass: Simplified Potential-free Evolving Fuzzy Rule-Based Classifiers", in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Oct 9-12, 2011, Alaska, 2011, pp. 2249-2254.
    • R. Dutta Baruah and P. Angelov, "Clustering as a Tool for Self-generation of Intelligent Systems: A Survey" in Proceedings of Evolving Intelligent Systems Symposium, The Thirty Sixth Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB'10), Leicester, UK, 2010, pp. 34-41.
    • R. Dutta Baruah, D. Baruah, U. Baruah, "Development and Performance Evaluation of Various Models for Automatic Classification of Air Crash Reports", in Proceedings of International Conference on Telecommunications August 19-21, Bandung, Indonesia, 2008, pp. 46-49.
    • R. Dutta Baruah, S.B. Nair, "EZeeCom": Enabling Spontaneous Social Interactions over Mobile Ad hoc Networks", in Proceedings of International Wireless Communications and Mobile Computing Conference (IWCMC), August 12-16, 2007, Hawaii, USA, ACM Press, 2007, pp.559-564.
    • R. Dutta Baruah, R. K. Rathore, Soni. P, S. B. Nair, "RoboSapienNet-Towards Building A Social Network of Human Beings and Robots, in Proceedings of the Fourth IEEE International Conference on Wireless and Optical Communications Networks Next Generation Networks, July 2- 4, 2007, Singapore,2007, pp.1-6.
    • Book Chapters:

    • R. Dutta Baruah and D. Baruah, "Modelling Fuzzy Rule-based Systems," Handbook of Computational Intelligence,World Scientific Publishers, in press.
    • Others:

    • R. Dutta Baruah, D. Baruah, "A Review of Task Allocation Methodologies for Multi-Robot Systems", CSI Communications, Robotics issue, Vol. 32, Issue 8, November 2008, pp.12-15.

Professional Activities

Programme/Technical Committee Member:

  • 2016 IEEE Symposium on Evolving and Adaptive Automomous Learning Systems (EALS 2016) under 2016 IEEE Symposium Series on Computational Intelligence, December 6-9, Athens, Greece.
  • 2016 International Joint Conference on Artificial Intelligence, July 9-15, New York City.
  • 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), May 23-25, Natal, Brazil.
  • 2015 IEEE Symposium on Evolving and Adaptive Automomous Learning Systems (EALS 2015)under 2015 IEEE Symposium Series on Computational Intelligence, December 8-10, Cape Town, South Africa.
  • 2015 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), December 1-3, Douai, France.
  • 2015 INNS Conference on Big Data ,August 8-10,San Francisco,USA.
  • 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS 2014) under 2014 IEEE Symposium Series on Computational Intelligence, December 9 - 12, Orlando, Florida, U.S.A.
  • 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014) under IEEE World Congress on Computational Intelligence (IEEE WCCI), July 6-11, Beijing, China.
  • 2013 IEEE Symposium on Evolving and Adaptive Intelligent Systems (EAIS 2013) under 2013 IEEE Symposium Series on Computational Intelligence, April 16-19, Singapore
    • Journals:

    • Member, Editorial Board, Evolving Systems, ISSN: 1868-6478 (Print) 1868-6486 (Online), Springer Berlin Heidelberg

Affiliations

  • Member, IEEE.
  • Member, Technical Committee, Evolving Intelligent Systems of the Systems, Man, and Cybernetics Society, IEEE.

Awards/Grants

  • Recipient of one of ten Prestigious Faculty of Science & Technology Full Studentships (fees and maintenance) for four years (2009-2013) to pursue PhD in Lancaster University.
  • Lancaster University Travel Grant (2010 and 2012) for attending International Conferences.
  • Travel Grant from All India Council for Technical Education (2007) for attending International Conference.

Supervision

    Ph.D.

  • Achyut Mani Tripathi (Dec-2013)
  • Sonia Sharma ( July-2014) ( Joint supervision with Prof.S.B.Nair)

  • Pallabi Saikia ( July-2014)

  • M.Tech.

  • Hardeep Singh (2014-2016)

  • Simarjot Kaur (2014-2016)
  • B.Tech.

  • Revnath Gopi (2012-2016)

  • Mohit Bhatiya (2012-2016)

Teaching

Current Course

Past Courses

  • Programming Language Lab (CS 431) (July-Nov 2015)
  • Artificial Intelligence (CS 561) (Jan-May 2015)
  • Programming Language Lab (CS 431) (July-Nov 2014)
  • Data Structures Lab (CS 210) (July-Nov 2014)

Projects

Title: Estimation of Petro-Physical Properties from Seismic Attributes and Well Logs Using Advanced Artificial Intelligence.
Funding Agency: Funded by ONGC, Geodata Processing & Interpretation Centre (GEOPIC), Dehradun.
Duration: 2016-2019
Role: Principal Investigator

Title: Development of Comprehensive Interactive Well Monitoring Software Tool for Drilling Supervisors.
Funding Agency: Funded by ONGC, Institute of Drilling Technology (IDT), Dehradun.
Duration: 2016-2018
Role: Co-Investigator

Title: A System for Litter Monitoring and Control Using off-the-shelf Sensors and Robotic Platforms.
Funding Agency: IITG start-up grant
Duration: 2015-2017
Role: Principal Investigator

Title: CAST: Co-ordinated Airborne Studies in the Tropics, coordinated by Cambridge University, consortium of 6 UK Universities including Lancaster University, and NASA
Funding Agency: Funded by Natural Environment Research Council (NERC), UK.
Duration: 2012-2013
Role: Team Member (during PhD)

Title: STAKE: Real-time Spatio-Temporal Analysis and Knowledge Extraction through evolving clustering
Funding Agency: Funded by UK Ministry of Defence.
Duration: 2011
Role: Team Member (during PhD)

Internship


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