Dr. Tejas M. Modi

Designation: Assistant Professor

Academic Area: Software Defined Networking, Next Generation of Networking, Deep Learning, AI, and Data Science

Brief Profile:

Dr. Tejas M. Modi is associated as Assistant Professor in Computer Science & Engineering department at Adani University, Ahmedabad. He has been teaching courses on Computer Networks and Predictive Analysis. His areas of expertise are Software Defined Networking, Next Generation of Networking, Deep Learning, AI, and Data Science. He has over 8 years of experience in academic and research.

Prior to joining us, he worked as Assistant Professor at Indian Institute of Information Technology Surat (IIIT Surat), Gujarat, India. He has published several SCI papers in various reputed International Journals and Conferences like IEEE, and Springer. He has served as reviewer to journals like The Journal of Supercomputing and Artificial Intelligence Review, Springer.


  • Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from National Institute of Technology Goa (NIT Goa) in 2023.
  • M.E. in Information Technology from Gujarat Technological University in 2015.
  • B.E. in Computer Engineering from Gujarat Technological University in 2013.

  • Worked as Assistant Professor in Department of Computer Science and Engineering at Indian Institute of Information Technology Surat (IIIT Surat), Gujarat. (January 2023 to December 2023)
  • Worked as Assistant Professor in Department of Computer Engineering at Madhuben & Bhanu Bhai Patel Institute of Technology (Previously Known as MBICT), Anand, Gujarat. (June 2015 to October 2017)

  • Software Defined Networking
  • Deep Learning
  • Next Generation of Networking
  • AI
  • Data Science

  • Unmanned Aerial Vehicles (UAVs)
  • Edge Computing
  • Blockchain Technology
  • Federated Learning

SCI Journal Publications

  1. Tejas M. Modi, Pravati Swain. “Intelligent routing using convolutional neural network in
    software-defined data center network”, The Journal of Supercomputing, Volume 78, Pages: 13373–13392,
    2022. (Springer, SCI Indexed, IF: 3.3)
  2. Tejas M. Modi, Pravati Swain. “Enhanced Routing Using Recurrent Neural Networks in Software-Defined Data
    Center Network”, Concurrency and Computation: Practice and Experience (CCPE), Volume 35 (5), pages:
    e7557, 2023. (Wiley, SCIE Indexed, IF: 2.0)
  3. Tejas M. Modi, Pravati Swain. “Hybrid Deep Learning Models and Link Probability Based Routing in
    Software Defined-DCN”, The Journal of Supercomputing, Volume 79, Pages: 9771–9794, 2023. (Springer, SCI
    Indexed, IF: 3.3)

IEEE Conference Publications

  1. Tejas Modi, Pravati Swain. “FlowDCN: Flow scheduling in software defined data center networks”, In
    Proceedings of the 3rd IEEE International Conference on Electrical, Computer and Communication
    Technologies (ICECCT), pp. 1-5, 2019.
  2. Pravati Swain, Uttam Kamalia, Raj Bhandarkar, Tejas Modi. “CoDRL: Intelligent packet routing in SDN
    using convolutional deep reinforcement learning”, In Proceedings of the IEEE International Conference on
    Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6, 2019.
  3. Khatsuria Yash Vijaybhai, Kuna Venkateswararao, Tejas Modi, Pravati Swain. “A Novel Optimization
    Strategy For Computation Offloading in the UAV-assisted Edge Computing”, In Proceedings of OITS
    International Conference on Information Technology (OCIT), pp. 463-468, 2022