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Dr. Amit Seth

Dr. Amit Seth

Associate Professor , Computer Science & Engineering (CSE)

amit.seth@sharda.ac.in

About

Dr. Amit Seth is an Associate Professor in the Department of Computer Science & Engineering at Sharda University, Greater Noida. He holds a Ph.D. in Computer Science & Engineering from HBTU, Kanpur, and has nearly 16 years of professional experience, including academic, software industry, and research experience. He has worked as a Software Developer in the software industry and as a Research Fellow at IIT Delhi. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Medical Image Analysis, Computer Vision, and Data Science. He has published extensively in SCI/SCIE and Scopus-indexed journals and international conferences, and has authored books and filed/granted patents. He also serves as an NBA Coordinator and contributes as a Reviewer, Session Chair, Technical Program Committee Member, Jury Member, and Resource Person/Speaker at national and international conferences, workshops, and faculty development programs.

Experience
  • 16+ Years
Qualification
  • B.Tech-IT
  • M.Tech-CSE
  • PhD-CSE (HBTU, Kanpur)
  • Postdoctoral Research Fellow (Pursuing) NKUST, Taiwan
Award & Recognition

  • Best paper award-7th Int. Conf. on Data Analytics & Management (ICDAM 2026), Lecture Notes in Networks and Systems (LNNS), Springer, 2026
  • Session Chair -(ICDAM 2026) Springer, (ICICC 2026) Springer
  • Reviewer -2nd IEEE(IC3ECSBHI-2026)

Research

  •  
  • A. Seth and V. D. Kaushik, “Lung and Colon Classification Using Improved Local Fisher Discriminant Analysis with ANFIS,” International Journal of Information Technology, vol. 16, pp. 4845–4853, 2024, doi: 10.1007/s41870-024-02148-7.
  • A. Seth et al.,“ DUALBIGRU-UCSA: Deep Learning Based Music Emotion Recognition Model,” Journal of Scientific & Industrial Research, vol. 84, no. 3, 2025,
  • doi: 10.56042/jsir.v84i03.13751. (SCIE Indexed, Q2)
  • A. Seth, A. Gupta, A. Ranjan, and A. Rathi,“ Automated Diabetes Detection Using Advanced Machine Learning Techniques,” in Proceedings of ICICC-2025, Springer, 2025,
  • doi: 10.1007/978-981-96-7707-8.
  • A. Seth, S. Bansal, P. Singh, and N. Sharma,“ Predicting Indian Banking Stock Prices in the Modern Era: A Machine Learning Approach,” in Proceedings of ICICC-2025, Springer, 2025,
  • doi: 10.1007/978-981-96-7707-8_29.
  • Scopus-12 and SCIE-03
  • Patent (2 Grant, 3 Published )

Certifications

  • Research Fellow Certification, Indian Institute of Technology (IIT) Delhi
  • Certification Course on “Using Python for Research” conducted by Harvard University, Cambridge, Massachusetts, United States.
  • Wipro Certification in .NET after successfully completing a 15-day training program at Wipro Campus, Hyderabad.
  • Certification Course on “Data Analysis with Python” conducted by IIT Madras, NPTEL.
  • Certification Course on “Introduction to Machine Learning” conducted by IIT Madras, NPTEL.
  • Total Certification:30+

Area of Interest

  • Data Science / Database
  • Artificial Intelligence/Machine learning
  • Computer Vision/Medical Image Processing