Dr. Stobak Dutta

Assistant Professor

Computer Science & Engineering | CSE

Academic Information

Ph. D.: GIET University, 2023

M.Tech.: Calcutta University, 2011

B.Tech.: BPUT, Odisha, 2005

Area of Specialization

Machine Learning, Computer Networks, Operating System.

Experience

Research

Teaching

17 Years

Industry

Date of Joining

19-01-2024

Date of Assign as Prof. / A.P

Courses Handled:

  1. Computer Networks
  2. Operating System
  3. DBMS
  4. Programming In C

Publication Details:

Peer Reviewed Journals:

  1. Dutta, Stobak, Brojo Kishore Mishra, Anirban Mitra, and Amartya Chakraborty. “A narrative review on the characterization of automated human emotion detection systems using biomedical sensors and machine intelligence”. International Journal of Reasoning-based Intelligent Systems. DOI: 10.1504/IJRIS.2023.10052192, 2024
  2. Dutta, Stobak, Brojo Kishore Mishra, Anirban Mitra, and Amartya Chakraborty. “A Multi-modal Approach for Emotion Recognition Through the Quadrants of Valence–Arousal Plane.” SN Computer Science 4, no. 5 (2023): 460.
  3. Dutta, Stobak, Brojo Kishore Mishra, Anirban Mitra, and Amartya Chakraborty. “An analysis of emotion recognition based on GSR signal.” ECS Transactions 107, no. 1 (2022): 12535.

 

International conference presentations:

  1. Roy, Sukanya, Stobak Dutta, Sagnik Kundu, Sayani Bhattacharya, Pratyay Majumdar, Shivangi Saha, Ashmita Kundu, and Sneha Debnath. “Identification of Alzheimer’s disease using machine learning approach.” In AIP Conference Proceedings, vol. 2851, no. 1. AIP Publishing, 2023.
  2. Sen, Moupali, Shreya Basu, Arijit Chatterjee, Anwesha Banerjee, Saheli Pal, Pritam Kumar Mukhopadhyay, Sudipta Sahana, and Stobak Dutta. “Evaluation of Water Quality Index Using Machine Learning Approach.” In International Conference on Communication, Devices and Computing, pp. 401-408. Singapore: Springer Nature Singapore, 2023.
  3. Chakraborty, Amartya, Asif Iqbal, Subhankar Guha, Surendra Nath Bhagat, Stobak Dutta, Parnava Roy, and Ankur Biswas. “On analyzing the twitter usage and sentiment in india during the second wave of covid-19.” In Applications of Machine intelligence in Engineering, pp. 499-509. CRC Press, 2022.
  4. Sen, Moupali, Shreya Basu, Arijit Chatterjee, Anwesha Banerjee, Saheli Pal, Pritam Kumar Mukhopadhyay, Stobak Dutta, and Arunabha Tarafdar. “Prediction of Unemployment using Machine Learning Approach.” In 2022 OITS International Conference on Information Technology (OCIT), pp. 1-5. IEEE, 2022.
  5. Chakraborty, Amartya, Stobak Dutta, Ankur Biswas, Prasenjit Das, Surendra Nath Bhagat, and Subhankar Guha. “MATRA: An Automated System for MATernal Risk Assessment.” In Human-Centric Smart Computing: Proceedings of ICHCSC 2022, pp. 183-189. Singapore: Springer Nature Singapore, 2022.
  6. Dutta, Stobak, Anirban Mitra, NeelamadhabPadhy, and Gitosree Khan. “Review on sensors for emotion recognition.” In Data Engineering and Communication Technology: Proceedings of ICDECT 2020, pp. 571-579. Springer Singapore, 2021.
  7. Chakraborty, Amartya, Stobak Dutta, Surendra Nath Bhagat, Subhankar Guha, Ankur Biswas, and Parnava Roy. “On Exploring the Role of Feature Processing in Gait-based Gender Identification.” In 2021 19th OITS International Conference on Information Technology (OCIT), pp. 285-289. IEEE, 2021.
  8. Dutta, Stobak, Sachikanta Dash, and Anirban Mitra. “A model of socially connected things for emotion detection.” In 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), pp. 1-3. IEEE, 2020.
  9. Dutta, Stobak, and Sabnam Sengupta. “Implementation of K-means clustering in ECB framework of cloud computing environment.” In 2017 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, pp. 293-297. IEEE, 2017.
  10. Dutta, Stobak, Sabnam Sengupta, and Narayan C. Debnath. “Service component reusability in cloud architecture: A graph based approach.” In 2016 IEEE International Conference on Industrial Technology (ICIT), pp. 1742-1747. IEEE, 2016.
  11. Dutta, Stobak, and Sabnam Sengupta. “Retrieval of software component version from a software version database: A graph based approach.” In 2015 International Conference on Advances in Computer Engineering and Applications, pp. 255-259. IEEE, 2015.

Book Chapters

  1. Biswas, Ankur, Amartya Chakraborty, Stobak Dutta, Anirban Mitra, and Brojo Kishore Mishra. “An Introductory Study to Quantum Programming.” In Technology Road Mapping for Quantum Computing and Engineering, pp. 11-23. IGI Global, 2022.
  2. Dutta, Stobak, Sachikanta Dash, and NeelamadhabPadhy. “Analysis of human emotion-based data using MIoT technique.” Med. Internet Things Tech. Pract. Appl 199 (2021).

Copyright

  1. Dutta, Stobak, Brojo Kishore Mishra, Anirban Mitra, and Amartya Chakraborty. “Proposed Model for Emotion Recognition Using Physiological Signal.” Available at SSRN 4667544 (2023).

Membership Details: Life Member,IAENG

  1. 10 Days FDP on “Machine Learning Using Python “ organized by Electronics & ICT Academy Indian Institute of Technology Roorkee from 3rd July 2023 to 13th July 2023
  2. 5 Days- FDP on “IOT Basics”, AICTE Recognized Faculty Development Programme by Information Management and Emerging Engineering Department, NITTTR Chandigarh at UEM Kolkata 24/04/2023 to 28/04/2023
  3. 5 Days- FDP on “Cyber Security”, AICTE Training And Learning (ATAL) Academy by Lakireddy Bali Reddy College of Engineering, from 8/11/2021 to 12/11/2021
  4. 5 Days- FDP on “Applications of Blockchain Technology and AI in Services Sector”, under AICTE Training And Learning (ATAL) Academy by Acharya Bangalore B School from 15-11-2021 to 19-11-2021.
  5. 5 Days – National Level Workshop on Cryptography and Network Security, Panimalar Institute of Technology, Chennai, (Sponsored by IEEE, Computer Society), 11-15 May, 2020, Chennai, India

BTech Projects:

  1. Smart voting system using facial recognition
  2. Segmentation of Breast cancer from breast cancer data set
  3. Customer relationship management web App
  4. Expense Management Web application.
  5. Stock Price Forecasting using Recurrent Neural Networks

  1. Technical Session Chair at AIoT4S-2024
  2. Organizing committee member of IEEE AIIoT 2022