Academic Profile of Prof. Sayantan Dass
Academic Profile of Prof. Sayantan Dass
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Sayantan Dass
Assistant Professor,
Computer Science & Engineering Department

ACADEMIC QUALIFICATION:
Ph.D.: Pursuing (Maulana Abul Kalam Azad University of Technology, West Bengal)
Post Graduate: M. Tech. in Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West
Under Graduate: B. Tech. in Computer Science and Engineering, West Bengal University of Technology

TOTAL EXPERIENCE: 10 Years

Linkedin: https://in.linkedin.com/in/sayantan-dass-7a4b94b2
Official eMail Id: sayantan.dass@nsec.ac.in
Professional Experience:
  • Assistant Professor at Netaji Subhash Engineering College 02.09.2024 - till date
  • Assistant Professor at Techno India (Hooghly Campus) 26.09.2023 - 30.08.2024
  • Lecturer at Adyapeath Annada Polytechnic College 01.08.2016 - 25.09.2023
  • Lecturer at Minerva Polytechnic 07.08.2012 - 31.07.2014


Professional Society Membership:
ISTE, SCRS


No of Journal Paper Published: 2

No Conference Paper Published: 4

Research Areas:
Computational Intelligence


FDP Attended:
  1. Completed online course on "Deep Learning" on 28th October, 2024, authorized by Illinois Institute of Technology and offered through Coursera. [Link]

  2. Attending 8 Day Faculty Development Program on "Recent Advances in Deep Learning" during 05th Feb – 14th Feb, 2025, was organized by Electronics & ICT Academy IIT Roorkee in association with Netaji Subhash Engineering College.


COURSES UNDERTAKEN:
Undergraduate: Computer Network, Multimedia System, E-Commerce & ERP
Postgraduate: Advanced Operating System, Artificial Neural Network


List of Publication of Journals Papers:
  1. Das, K., M., Mukherjee, S., Saha, D., Dass, S. (2025). How Important Are Service Robots in Today's Hospitality Landscape? A Review and Research Guide. International Journal of Services Operations and Informatics. [Link]

  2. Dass, S., Mistry, S., Sarkar, P., Barik, S., Dahal, K. (2023). A proficient two stage model for identification of promising gene subset and accurate cancer classification. International Journal of Information Technology, Springer. 15, 1555–1568. [Link]


List of Publication of Conference Proceedings:
  1. Dass, S., Mukherjee, R., Mistry, S. (2025). Enhancing Disease Prediction Accuracy with Ensemble Classification Techniques. In: Bhattacharyya, S., Banerjee, J.S., De, D., Mahmud, M. (eds) Intelligent Human Centered Computing. HUMAN 2024. Springer Tracts in Human-Centered Computing. Springer, Singapore. [Link]

  2. Dass, S., Mandal, S. D., Mistry, S., & Sarkar, P. An ensemble of filter methods for disease classification enhancement. In Intelligent Computation and Analytics on Sustainable Energy and Environment (pp. 348-352). CRC Press. [Link]

  3. Dass, S., Mistry, S., Sarkar, P. (2023). Identification of Promising Biomarkers in Cancer Diagnosis Using a Hybrid Model Combining ReliefF and Grey Wolf Optimization. In: Sharma, H., Shrivastava, V., Bharti, K.K., Wang, L. (eds) Communication and Intelligent Systems. ICCIS 2022. Lecture Notes in Networks and Systems, vol 689. Springer, Singapore. [Link]

  4. Dass, S., Mistry, S., Sarkar, P., Paik, P. (2022). An Optimize Gene Selection Approach for Cancer Classification Using Hybrid Feature Selection Methods. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing (ANTIC 2021), Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India, December 17-18, 2021. Communications in Computer and Information Science, vol 1534. Springer, Cham. [Link]


List Books / Book Chapters:
  1. Dass, S., Mistry, S., Sarkar, P., Dahal, K. Multimodal Computing in Healthcare: Enhancing Clinical Decision Making through Data Fusion, Advances in Healthcare using Machine Learning, CRC Press. (Accepted)

  2. Sen, K., S., Banerjee, S., R., Dass, S., Mukherjee, S., Das, K., M. Unfolding HR Efficiency: The Synergy of AI Integration and User Experience, Agile Sustainable Marketing: Navigating towards a Greener Future, Bentham Science. (Accepted)

  3. Dass, S., Mistry, S., Sarkar, P., Mukherjee, S., Das, K., M. AI in Healthcare Marketing: A Review, Synthesis and Research Agenda: A Synthesis of Diverse Studie, Bentham Science. (Accepted)

  4. Mukherjee, S., Das, K., M., Dass, S., Chowdhury, M. Redefining Customer Behavior with Service Robots: A Metaperception Lens via Bibliometric Analysis, Contemporary Business Practices and Sustainable Strategic Growth, Bentham Science. [Link]

  5. Mukherjee, S., Chatterjee, A., Dey, E., Chatterjee, T., & Dass, S. (2024). Blockchain Technology: Impact on the Indian Economy. In Navigating the Future of Finance in the Age of AI (pp. 272-287). IGI Global. 272-287. [Link]

  6. Mukherjee, S., Chatterjee, A., Dass, S. (2024). Deciphering the Realities of Deep Learning in Business Analytics: A Bibliometric Analysis. In S. Bansal, N. Kumar, & P. Agarwal (Eds.), Intelligent Optimization Techniques for Business Analytics, IGI Global. 77-103. [Link]
Last Updated on 2025-09-09 11:48:34

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