About:

Hello, welcome to my home page. I am an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Information Technology, Guwahati. I joined IIITG in July, 2018. Prior to that, I did my Ph.D. at Indian Statistical Institute.

Research Interests:

Services Computing, Artificial Intelligence, Machine Learning, Formal Methods, Automated logic and reasoning.

Research Project:

  • Context Aware Service Provisioning Towards Smart Tourism, funded by SERB, DST

Teaching:

At IIITG, I taught the following courses:

  • Machine Learning (B.Tech., Third Year, 2020, Odd Semester)
  • Machine Learning Lab (B.Tech., Third Year, 2020, Odd Semester)
  • Artificial Intelligence (B.Tech., Second Year, 2020, Even Semester)
  • Deep Learning (B.Tech., Final Year, 2020, Even Semester)
  • Theory of Computation (B.Tech., Third Year, 2019, Odd Semester)
  • Computer Programming (B.Tech., First Year, 2019, Odd Semester)
  • Data Structure (B.Tech., First Year, 2019, Even Semester)
  • Data Structure Lab (B.Tech., First Year, 2019, Even Semester)
  • Theory of Computation (B.Tech., Third Year, 2018, Odd Semester)
  • Computer Programming Lab (B.Tech., First Year, 2018, Odd Semester)

Publications:

Journals
  1. R. R. Chowdhury, S. Chattopadhyay, C. Adak, “CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering”, IEEE Trans. on Services Computing (TSC) 2020. (Accepted)
  2. S. Chattopadhyay, A. Banerjee, “QoS aware Automatic Web Service Composition with Multiple Objectives”, ACM Trans. on Web (TWeb) 2020, volume 14, number 3, pages 12:1–12:38.
  3. S. Chattopadhyay, A. Banerjee, “QoS constrained service large scale web service composition using Abstraction Refinement”, IEEE Trans. on Services Computing (TSC) 2020, volume 13, number 3, pages 529-544.
  4. S. Chattopadhyay, A. Banerjee, N. Banerjee, “A Fast and Scalable Mechanism for Web Service Composition”, ACM Trans. on Web (TWeb) 2017, volume 11, number 4, pages 26:1–26:36.
Conferences
  1. S. Chattopadhyay, R. Chanda, S. Kumar, C. Adak, “OffDQ: An Offline Deep Learning Frame- work for QoS Prediction”, 31st The ACM Web Conference (WWW), Lyon, France, 2022. (Accepted)
  2. A. Dixit, S. Chattopadhyay, ”Demystifying Heart Failure with Mid-Range Ejection Fraction Us- ing Machine Learning”, 48th Computing in Cardiology (CinC), pp. 1-4, Brno, Czech Republic, 2021.
  3. R. Mudam, S. Bhartia, S. Chattopadhyay, and A. Bhattacharya, “Mobility-Aware Service Placement for Vehicular Users in Edge-Cloud Environment”, in the 18th International Conference on Service Oriented Computing (ICSOC), 2020. (Accepted)
  4. S. Chattopadhyay, R. Ghosh, A. Banerjee, A. Gupta, A. Jain,"FINESSE : Fair Incentives for Enterprise Employees", in the 14th International Conference on Research Challenges in Information Science (RCIS), Cyprus, pp. 191--211, 2020.
  5. S. Chattopadhyay, A. Banerjee, “QoS Value Prediction Using a Combination of Filtering Method and Neural Network Regression”, in the 17th International Conference on Service Oriented Computing (ICSOC), France, pp. 135 - 150, 2019.
  6. S. Chattopadhyay, A. Banerjee, “Towards Scalable Semantic Service Composition”, in the 12th IEEE Conference on Service-Oriented Computing and Applications (SOCA), Taiwan, pp. 41 - 48, 2019.
  7. S. Chattopadhyay, A. Banerjee, " A Variation Aware Composition model for Dynamic Web Service environments", Accepted for publication in the 16th International Conference on Service-Oriented Computing (ICSOC), 2018.
  8. S. Chattopadhyay, A. Banerjee, B. Yu, "A utility-driven data transmission optimization strategy in large scale cyber-physical systems", Proc. Design, Automation and Test in Europe (DATE), Switzerland, pp. 1619--1622, 2017.
  9. S. Chattopadhyay, A. Banerjee, "QSCAS: QoS aware web service Composition Algorithms with Stochastic parameters", Proc. IEEE International Conference on Web Services (ICWS), San Francisco, pp. 388--395, 2016.
  10. S. Chattopadhyay, A. Banerjee, N. Banerjee, "A Scalable Rule Engine Architecture for Service Execution Frameworks", Proc. IEEE International Conference on Services Computing (SCC), San Francisco, pp. 689-696, 2016.
  11. S. Chattopadhyay, A. Banerjee, T. Mukherjee, "A Framework for Top Service Subscription Recommendations for Service Assemblers", Proc. IEEE International Conference on Services Computing SCC), San Francisco, pp. 332--339, 2016.
  12. R. Ghosh, A. Gupta, S. Chattopadhyay, A. Banerjee, K. Dasgupta, "CoCOA: A Framework for Comparing Aggregate Client Operations in BPO Services", Proc. IEEE International Conference on Services Computing (SCC), San Francisco, pp. 539--546, 2016.
  13. D. Bhattacharjee, S. Chattopadhyay, A. Banerjee, "EAST: Efficient Assertion Simulation Techniques", Proc. Design, Automation \& Test in Europe (DATE), Germany, pp. 1363--1368, 2016.
  14. S. Chattopadhyay, A. Banerjee, "Algorithmic Strategies for Sensing-as-a-Service in the Internet-of-Things Era". Proc. Utility and Cloud Computing (UCC), Cyprus, pp. 387-390, 2015.
  15. S. Chattopadhyay, H.S. Paul, A. Banerjee, ``On Composition of Checkpoint and Recovery Protocols for Distributed Systems", Proc. Service-Oriented Computing (ICSOC) Workshop, India, pp. 231--242, 2015.
  16. S. Dutta, S. Chattopadhyay, A. Banerjee, P. Dasgupta, "A new approach for minimal environment construction for modular property verification", Proc. Asian Test Symposium (ATS), India, pp. 205-210, 2015.
  17. S. Chattopadhyay, S. Dutta, A. Banerjee, "A framework for fast service verification and query execution using Boolean service rules", Proc. Asia Pacific Service Computing Conference (APSCC), Thailand, pp. 17-32, 2015.
  18. S. Chattopadhyay, A. Banerjee, N. Banerjee, "A Scalable and Approximate Mechanism for Web Service Composition", Proc. International Conference on Web Services (ICWS), New York, pp. 9-16, 2015.
  19. S. Chattopadhyay, A. Banerjee, N. Banerjee, "A Scalable Rule Engine Architecture for Rule Engine based Decision Support Systems", Proc. Medinfo, Brazil, pp. 947, 2015.
  20. S. Chattopadhyay, A. Banerjee, N. Banerjee, "A Data Distribution Model for Large-scale Context Aware Systems", Proc. Mobiquitous, Japan, pp. 615-627, 2013.
Book Chapters
  1. S. Chattopadhyay, A. Banerjee, N. Banerjee, and B. Yu, “A Utility-Driven Data Transmission Optimization Strategy in Large-Scale Cyber-Physical Systems”, in Hu S., Yu B. (eds) Big Data Analytics for Cyber-Physical Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-43494-6_2, pp. 13-42, 2020.
  2. C. Adak, D. Ghosh, R. R. Chowdhury, S. Chattopadhyay, “COVID-19-affected Medical Image Analysis using Denser Net”, Chapter 11, in Book Data Science for COVID-19, Eds. U. Kose et al., Elsevier, ISBN: 9780128245361, 2020. (in print)

Soumi Chattopadhyay

Assistant Professor (CSE)

Ph.D. (Indian Statistical Institute), 2019

Email:

soumi61@gmail.com / soumi@iiitg.ac.in

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