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Dr. Saumya Chaturvedi

Dr. Saumya Chaturvedi

Associate Professor, Computer Science & Engineering (CSE)


Dr. Saumya Chaturvedi is an experienced professional in the field of Computer Science. She is working as an Associate Professor in the Department of Computer Science and Engineering (CSE)  at the School of Engineering & Technology Sharda University.  She has a Ph.D. in Computer Science & Engineering with Artificial Intelligence and Machine Learning as her specialization from Dr. APJ Abdul Kalam University, Lucknow. Dr. Saumya received a Master of Technology Degree in Computer Science & Engineering from Motilal Nehru National Institute of Technology, Allahabad (MNNIT). She received a Bachelor of Technology in Computer Science & Engineering from Uttar Pradesh Technical University, Lucknow. She has 12+ years of teaching and research experience. She is an active reviewer of Scopus Indexed Journals in her research area. She has 20+ research publications in Scopus (13) and UGC (7) indexed Journals. She has 4 Patents and one Book in her name. She has various Memberships in Professional Bodies such as the Institute For Engineering Research and Publication (IFERP), International Journal of Advanced Science and Technology(IJAIP), The Society of Digital Information and Wireless Communication (SDIWC), International Association Of Innovations Professionals (IAOIP). Her research interests include Machine Learning, Natural Language Processing, Deep Learning, Recommender Systems, and High-Performance Computing.

  • 12+ years
  • Ph.D (CSE)
  • M.Tech(CSE) (NIT)
  • B.Tech(CSE)
Award & Recognition

  • Active Reviewer of Scopus Indexed Journals


  • 4 Patents
  • 13 Scopus Indexed Publications
  • 7 UGC Indexed Publications
  • 1 Book
  • 7 FDP


  • "Introduction to Python" from DataCamp.
  •  "How Google Does Machine Learning" from Google Cloud
  • "Machine Learning" from Stanford
  •  "Introduction to Big Data" from UC San Diego
  • English (Academic IELTS score 6.5 ) British Council

Area of Interest

  • Machine Learning
  • Natural Language Processing
  • Recommender system