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Dr. Amit Seth

Dr. Amit Seth

Associate Professor , Computer Science & Engineering (CSE)

amit.seth@sharda.ac.in

About

Ph.D., M.Tech, and B.Tech in Computer Science and Engineering with strong expertise in research, teaching, and technology integration. Seeking opportunities in IT, academia, research, or academic administration to contribute technical knowledge, leadership, and innovation toward institutional and organizational success.

Experience
  • 17 Years
Qualification
  • B.Tech (IT), M.Tech (CSE) ,Ph.D. (CSE, HBTU)
Award & Recognition

  • Seth, A.; Kaushik, V.D. Optimized Depth-Wise Separable Convolution Neural Network for Lung and Colon Cancer Detection CIIR-2023, LNNS Vol. 1025, Springe, DOI:https://doi.org/10.1007/978-981-97-3594-5_26, Scopus,Conference2024
  • Best Paper Award

Research

  • 2025 Journal Seth, A.,et.al. DUALBIGRU-UCSA: Deep Learning based Music Emotion Recognition Model Journal of Scientific & Industrial Research (JSIR), Vol. 84(3) DOI: https://doi.org/10.56042/jsir.v84i03.13751 SCI (Q3), IF: 0.7
  • 2025 Scopus Conference Seth, A., Vasudevan, K., Nirmala, K., Jamberi, K., Dalai, C., & Gaikwad, A. S. Streamlined Deep Learning Approach for Real-Time Diabetes Risk Assessment ICOFE-2024 DOI:http://dx.doi.org/10.2139/ssrn.5110922
  • 2025 Scopus Conference Seth, A., Gupta, A., Ranjan, A., & Rathi, A. Automated Diabetes Detection Using Advanced Machine Learning Techniques ICICC-2025, Springer DOI: //doi.org/10.1007/978-981-96-7707-8
  • 2025 Scopus Conference Seth, A., Bansal, S., Singh, P., & Sharma, N.  Predicting Indian Banking Stock Prices in the Modern Era: A Machine Learning Approach ICICC-2025, Springer DOI: //doi.org/ 10.1007/978-981-96-7707-8_29
  • 2025 Scopus Conference Seth, A.; Kaushik, V.D. Analysis of leveraging machine learning and data analytics to predict Cardiac Disease ICDMIS-2024 Springer, Indonesia DOI : https://link.springer.com/chapter/10.1007/978-981-96-6066-7_4
  • Total SCI jounral=2 (1 SCI Q1 Impact factor 3.6, 1 SCI Q3 Impact factor 0.7)
  • Total Scopus = 8
  • International journal =2
  • Patent =4 (2 Grant, 2 Published)

Certifications

Total – 20+ certification

  • Certification Course on “Using python for Research “conducted by Harvard University, Cambridge, Massachusetts, United States.
  • Certification Course on “Data Analysis with Python” conducted by IIT, Madras, NPTEL.
  • Certification Course on “Introduction to Machine Learning“conducted by IIT, Madras, NPTEL
  • Certification Course on “Machine Learning with python” conducted, IBM Developer Skills Network.
  • Certification Course on “Database and SQL for data science” conducted, IBM from Coursera.

Area of Interest

  • My research interests include Artificial Intelligence, Machine Learning, Deep Learning, Medical Image Analysis, Computer Vision and Data Science.