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Dr. Aditi Ajit Kumar Gupta

Dr. Aditi Ajit Kumar Gupta

Designation Associate Professor
School Anand School of Engineering & Technology
Department Computer Science & Engineering (CSE)
E-mail aditi.gupta@agra.sharda.ac.in
About

Dr. Aditi Ajit Kumar Gupta is an accomplished academic and researcher with over 15 years of teaching experience and 3 years of software industry experience. She has completed her Ph.D. from the Sharda University, Greater Noida specializing in the application of Machine Learning for Ovarian Cyst Classification using ultrasound images. She completed her M.Tech. from Motilal Nehru National Institute of Technology (MNNIT), Prayagraj, UP. She is the NPTEL Topper for course “Introduction to Machine Learning” with 88% in 2024. She has over 10 publications in peer-reviewed international journals and conferences. Currently, one Ph.D. scholar is working under her supervision. An active member of the academic community, she has served as a reviewer for prestigious conferences and journal - Journal of Imaging Informatics in Medicine - Springer Nature. Her multidisciplinary research interests span Machine Learning, Natural Language Processing, Deep Learning, Medical Image Analysis, Text Mining, and Artificial Intelligence, enabling her to contribute to diverse domains. She has mentored several Engineering projects for various National level Hackathons. With a commitment to excellence in teaching and research, she continues to be a beacon of innovation and thought leadership in her field.

Experience

18+ Years

Qualification

B.E., M. Tech., Ph.D.

Award & Recognition

  • Outstanding Teacher Award in Maharaja Agrasen International College, Raipur in 2021
  • Reviewer in the prestigious Conferences and Journal - Journal of Imaging Informatics in Medicine, Springer Nature

Research

10+ Publications in SCI/SCIE/SCOPUS/UGC Care Indexed Journals and Conferences

Certifications

  • NPTEL Topper for “Introduction to Machine Learning” with 88% in 2024
  • NPTEL certification in “Research Methodology”

Area of Interest

Machine Learning, Natural Language Processing, Medical Image Analysis, Text Mining, Artificial Intelligence