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Mr. Sundeep Raj

Mr. Sundeep Raj

Assistant Professor, Computer Science & Applications (CSA)


Mr. Sundeep Raj is currently working as Assistant Professor in Department of Computer Science & Application in School of Engineering and Technology, Sharda University, India.  Mr. Sundeep Raj is pursuing his Ph.D. from Uttarakhand Technical University, Dehradun, Uttarakhand in the area of Neural Networks. He obtained his B.Tech-Computer Science & Engineering from Uttar Pradesh Technical University, Lucknow, and M.Tech from University School of Information Technology, GGSIP University, Delhi. Formerly served as Assistant Professor in Ajay Kumar Garg Engineering College, Ghaziabad for about 2 years and Inderprastha Engineering College, Ghaziabad for about 12 years. He is a Member in review committee in many international journals and several conferences. He is having about 15 yrs. of teaching experience in various prestigious colleges and universities.

  • 15 Years
  • Ph.D.( Computer Science & Engineering) (Pursuing)
  • M.Tech.(Information Technology)
  • B.Tech.(Computer Science & Engineering)
Award & Recognition

  • Reviewer of various International Journal and International Conferences including Springer Nature, Bentham Science, etc


Patent: 1 (Innovation (Granted)-International)

  • Publications in SCI/SCIE/Scopus Indexed Journals: 4
  • Publications in Other Journals: 1
  • Publications in International Conferences (IEEE/Springer): 2
  • Publications in National Conferences: 2

List of Publications: (Key Publications)

  • Raj, S., Tripathi, S. & Tripathi, K.C. ArDHO-deep RNN: autoregressive deer hunting optimization based deep recurrent neural network in investigating atmospheric and oceanic parameters. Multimed Tools Appl 81, 7561–7588 (2022).
  • Tiwari, P., Raj, S. & Chhimwal, N. Community detection in network using chronological gorilla troops optimization algorithm with deep learning based weighted convexity. Wireless Netw (2023).


  • UGC NET-2012, GATE 2010, 2008 Qualified

Area of Interest

  • Neural Networks
  • Deep Learning
  • IOT