Open Positions! (Click Here)
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
Office: H-004
Email:r.duttabaruah@iitg.ac.in
Phone: +91-361-2583253

Broad Area of Research:  Artificial Intelligence
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, Learning from Data streams
Deep Learning, Explainaible AI and Model Interpretability

Please visit Applied Artificial Intelligence Lab page for more details.

Publications

2021

  • Achyut Mani Tripathi, Rashmi Dutta Baruah, Senthilmurugan Subiah, "Oil Well Drilling Activities Recognition Using a Hierarchical Classifier", Journal of Petroleum Science and Engineering, Elsevier, Volume 196, Pages 107883, January 2021.
  • 2020

    • Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah, "Automatic Concurrent Arrhythmia Classification using Deep Residual Neural Networks", In Computing in Cardiology (CinC), September 13-16, 2020, Rimini, Italy. (Accepted)
    • Deepankar Nankani and Rashmi Dutta Baruah, "Effective Removal of Baseline Wander from ECG Signals: A Comparative Study", In 2nd International Conference on Machine Learning, Image, Processing, Network Security and Data sciences (MIND), July 30 - 31, 2020, Silchar, Assam. (Accepted)
    • Deepankar Nankani and Rashmi Dutta Baruah, "Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation", In IEEE IJCNN 2020 under WCCI, July 19 – 24, 2020, Glasgow, UK, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207613.
    • Sonia and Rashmi Dutta Baruah, "Transfer Learning in Smart Home Scenario", In IEEE IJCNN 2020 under WCCI, July 19 – 24, 2020, Glasgow, UK, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9206923.
    • Achyut Mani Tripathi and Rashmi Dutta Baruah, "Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN", In Fuzz-IEEE 2020 under WCCI, July 19 – 24, 2020, Glasgow, UK, pp. 1-8, doi: 10.1109/FUZZ48607.2020.9177532
    • Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, and P.K. Chaudhuri,"Artificial Neural Networks in the Domain of Reservoir Characterisation: A Review from Shallow to Deep Models", Computers and Geosciences, Elsevier, Volume 135, 104357, Feb 2020.
    • Rashmi Dutta Baruah, P. Angelov and D. Baruah, "Evolving Intelligent Systems", Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons Inc.,pp. 1-17, February 2020.
    • 2019

    • Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah, "Seismic Signal Interpretation for Reservoir Facies Classification", International Conference on Pattern Recognition and Machine Intelligence (PReMI), December 17-20, 2019, Tezpur, Assam, Lecture Notes in Computer Science, vol 11942. Springer, Cham, pp. 409-417.
    • Gaurav Nakum, Prithwijit Guha, Rashmi Dutta Baruah, "Visual Object Tracking Using Perceptron Forests and Optical Flow", International Conference on Pattern Recognition and Machine Intelligence (PReMI), December 17-20, 2019, Tezpur, Assam, Lecture Notes in Computer Science, vol 11942. Springer, Cham, pp. 525-532.
    • Deepankar Nankani and Rashmi Dutta Baruah, "An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning", in proceedings of IEEE Region 10 Conference (TENCON), October 17-20, 2019, Kochi, Kerala, pp. 690-695.
    • Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah,"Reservoir Facies Classification using Convolutional Neural Networks", in proceedings of IEEE TENCON Geoscience and Remote Sensing Conference (TENGARSS) October 17-2019, Kochi, Kerala, pp. 34-38.
    • Achyut Mani Tripathi and Rashmi Dutta Baruah, "Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier", in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), October 6-9, 2019, Bari, Italy, pp. 1938-1944.
    • Pallabi Saikia and Rashmi Dutta Baruah, "Investigating Stacked Ensemble Model for Oil Reservoir Characterisation", in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), October 6-9, 2019, Bari, Italy, pp. 13-20.
    • Achyut Mani Tripathi and Rashmi Dutta Baruah, "Incremental Cauchy Non-negative matrix factorization and fuzzy rule-based classifier for acoustic source separation", in proceedings of 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June 23-26, 2019, New Orleans, USA, pp. 1-6.
    • 2018

    • Pallabi Saikia, Prateek Vij, and Rashmi Dutta Baruah,"Unsupervised Pre-training on Improving the Performance of Neural Network in Regression", in proceedings of International Joint Conference on Neural Networks (IJCNN), July 8-12, 2018, Rio de Janeiro, Brazil, pp. 01-06.
    • Pallabi Saikia and Rashmi Dutta Baruah,"An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems", in proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), November 18-21, Bengaluru, India, pp. 342-349.
    • Sonia, Prateek Vij, and Rashmi Dutta Baruah, "An Experience of Multi-Sensors Robot for Adaptive Human Sensing", in proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), November 18-21, Bengaluru, India, .
    • 2017

    • Sonia, R.Dutta Baruah, Shivashankar B. Nair, "A Reward and Penalty Based Approach for Online Feature Selection. CYBCONF 2017", in Proceedings of IEEE International Conference on Cybernetics, June 21-23, 2017, Exeter, UK pp.1-6
    • R.Dutta Baruah, Manish Singh, Diganta Baruah, Iti Saha Misra, "Predicting activity occurrence time in smart homes with evolving fuzzy models", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 9-12, 2017, Naples, Italy, pp.1-5.
    • A.M. Tripathi, R.Dutta Baruah, "Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 9-12, 2017, Naples, Italy, pp.1-6.
    • Sonia, Shivashankar B. Nair, R.Dutta Baruah,"An immune-inspired online feature selection mechanism. IEEE International Conference on Systems", in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC2017),Banff, Oct 5-8, Canada, pp.2123-2128.
    • 2016

    • Sonia, Manish Singh, R.Dutta Baruah, Shivashankar B. Nair: "A Voting-Based Sensor Fusion Approach for Human Presence Detection",in Proceedings of International conference on Intelligent Human Computer Interaction (IHCI), Dec 12-13,2016, Pilani, India, pp.195-206.
    • 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, pp.1-7.
    • R. Dutta Baruah and D. Baruah, "Modelling Fuzzy Rule-based Systems," Handbook of Computational Intelligence, Volume 1, edited by P.P. Angelov, World Scientific Publishing, 30 June 2016.
    • 2015

    • 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.
    • 2014

    • 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, "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.
    • 2013

    • 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, "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.
    • 2012

    • 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.
    • 2011

    • 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, "Evolving fuzzy systems for data streams: a survey," Wiley interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 1, pp. 461-476, 2011.

    2010 and Earlier

  • 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, 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.
  • 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.

Projects

Title: Estimation of flocculant dosage for Efficient Operation of High Rate Thickener (HRT) using Artificial Intelligence-based models (Consultancy)
Funding Agency: Tata Steel Limited, Jamshedpur
Duration: 2019-2020
Role: Principal Investigator

Title: Seamless Health Monitoring and Analysis of Soldier using Machine Learning Approach
Funding Agency: AICTE, Collaborative Research Scheme under Technical Education Quality Improvement Programme (TEQIP) III
Duration: 2019-2020
Role: Co-PI

Title: LOTUS: Low-cost Innovative Technology for Water Quality Monitoring and Water Resourecs Management for Urban and Rural Water Systems in India. (EU-India Partnership www.lotus-india.eu)
Funding Agency: DG Environment under the European Union Horizon 2020 Research and Innovation Programme and DST.
Duration: 2019-2023 (4 Years)
Role: Co-PI

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: 2016-2019
Role: Co-PI

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)

Professional Activities

Programme/Technical Committee Member:

  • Organiser of 5th Special Session on Intelligent and Contextual Systems (ICxS) at 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS), March 23-26, 2020, Phuket, Thailand
  • 2018 IEEE Symposium on Evolving and Adaptive Automomous Learning Systems (EALS 2018) under 2018 IEEE Symposium Series on Computational Intelligence, November 18-21, Bengaluru, India
  • 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS),May 31-June 2, Ljubljana, Slovenia .
  • Organiser of Special Session on Deep Learning for Estimation and Prediction at IEEE International Conference on Cybernetics (CYBCONF) 2017, 21-23 June 2017, Exeter, UK.
  • 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
    • Invited Talks

    • AI - Problem Solving using searching techniques at IIT Guwahati (TEQIP-III on Fundamentals of Robotics and AI), Guwahati, February, 2019
    • Interpretability of Neural Networks at St. Anthony’s College, Shillong, September, 2018
    • What it’s like to be Women in Computer Science at IIT Guwahati (Vigyan Jyoti 2018), Guwahat, September, 2018

Affiliations

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

Awards/Grants

  • Best Special Session Award for 5th Special Session on Intelligent and Contextual Systems (ICxS) at 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS), March 23-26, 2020, Phuket, Thailand
  • Recipient of one of ten Prestigious Faculty of Science & Technology Full Studentships (fees and maintenance) for four years (2009-2013) to pursue Ph.D. 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. Supervision

  • Achyut Mani Tripathi (136101008) (December 2013)
  • Sonia Sharma (146101008) (July 2014 - October 2019)
  • Pallabi Saikia (146101011) (July 2014 - August 2020)
  • Deepankar Nankani (156201001) (July 2015)

Please visit the web page of Applied Artificial Intelligence Lab to know details about the Research Scholars and other students associated with me.

Teaching

Current Course

  • Artificial Intelligence (CS 561) (Sep-Dec 2020)

Past Courses

  • Operating Systems Lab. (CS 342) (July-Nov 2019)
  • Advanced Artificial Intelligence (CS 576) (Jan-May 2019)
  • Artificial Intelligence (CS 561) (Jul-Nov 2018)
  • Artificial Intelligence (CS 561) (Jan-May 2018)
  • Operating Systems (CS 341) (July-Nov 2017)
  • Artificial Intelligence (CS 561) (Jan-May 2017)
  • Operating Systems (CS 341) (July-Nov 2016)
  • Artificial Intelligence (CS 561)(Jan-May 2016)
  • 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)

          Administrative Responsibilities

Announcements

  • There is one open position in the project, LOTUS: Low-cost innovative Technology for water quality monitoring and water resources management for Urban and rural water Systems in India (LOTUS), funded by DST and European Union under Horizon 2020 (www.lotus-india.eu).
    Post: Research Associate (Pay Rs. 55,770.00 including HRA and Medical) , Qualification: Ph.D. or M.Tech. with three years of experience in teaching/research with at least one research paper in SCI journal.
    Note that there is no restriction in discipline, We are looking for candidates who are proficient in the applying AI/ML techniques as the core task will involve data driven modelling from sensor data for water quality monitoring. Interested candidates may contact me (r.duttabaruah@iitg.ac.in) or Dr. Senthilmurugan, Dept. of Chemical Engineering (senthilmurugan@iit.ac.in) along with CV.

  • There is open position in the project, Estimation of flocculant dosage for High Rate Thickener (HRT) operation using Artificial Intelligence-based models, funded by Tata Steel Limited.
    Post: Project Engineer (Pay Rs. 40,000.00 including HRA and Medical) , Qualification: Ph.D. in Engineering.
    The main task will involve developemnt of predictive models using AI/ML techniques for efficient operation of Thickener (equipment used for gravity separation of solids from suspension). Interested candidates may contact me (r.duttabaruah@iitg.ac.in) along with CV.

                                                                                                                                           Last Updated: Sunday, 2nd November, 2020 | 18:00 IST