NAVEEN KUMAR TIWARI

Assistant Professor

Mr. Naveen Kumar Tiwari is working with Computer Science and Engineering Department of Rajkiya Engineering College Kannauj as Assistant Professor (AP). He has completed M. Tech from IIT Delhi and currently pursuing PhD from NIT Patna. He has a vast experience in education field with more than 5+ years. His research interest included fields of Computer Vision, Machine Learning, and Software Defined Networks.

Courses

  1. Design and Analysis of Algorithms
  2. Image Processing
  3. Computer Networks
  4. Machine Learning
  5. Data Structures and Algorithms

Research

JOURNALS

  1. Upaddhyay VK, Soni SK, Tiwari NK. Reliability analysis of cascaded η − μ fading channels. Transactions on Emerging Telecommunications Technologies. 2022 Dec;33(12):e4612.
  2. Kashyap R, Joshi G, Yadav S, Saxena M, Tiwari NK. A study on analytic resolvent semilinear integro-differential equations with control functions. International Journal of Nonlinear Analysis and Applications. 2022 Jul 1;13(2):1685-92.
  3. Bajpai A, Yadav S, Tiwari N, Yadav A, Chaurasia M. A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks. International Journal of Mobile Computing and Multimedia Communications (IJMCMC). 2022 Jan 1;13(1):1-4.
  4. Monika Mehra, Sudarshan Maurya, Naveen Kumar Tiwari, Network Load balancing in Software Defined Network: A Survey, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 2, 2019 (Special Issue)

PATENTS

  1. An effective method for detecting and preventing malicious node for collaborative grayhole threats in mobile ad-hoc networks, Patent number: ZA202110308B, Year 2022.
  2. An evolutionary neuro-fuzzy system using evolutionary fuzzy clustering and syndicated neural networks, Patent number: DE202022104771U1, Year 2022.

CONFERENCES

  1. N. K. Tiwari, A. Kushwaha, L. Kumar and A. Bajpai, “An Ensemble Heterogeneous Hybrid Model for Fake News Detection,” 2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT), Bhopal, India, 2023, pp. 954-960, doi: 10.1109/CSNT57126.2023.10134688.
  2. A. Bajpai, N. K. Tiwari, A. K. Tripathi, V. Tripathi and D. Katiyar, “Early leaf diseases prediction in Paddy crop using Deep learning model,” 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS), Nagpur, India, 2023, pp. 1-6, doi: 10.1109/PCEMS58491.2023.10136038.
  3. Yadav, Sanjeev, Rupesh Kumar, Naveen Tiwari, and Abhishek Bajpai. ”An Effective Approach to Detect and Prevent Collaborative Grayhole Attack by Malicious Node in MANET.” In International Conference on Intelligent Systems Design and Applications, pp. 318-335. Springer, Cham, ISBN 978-3-030-49342-4, (2019).
  4. Mishra Pranchal, Ayush Tripathi, Abhishek Bajpai, and Naveen Tiwari. “Hybrid Approach for Trajectory Identification of Mobile Node via Lagrange Interpolation and Kalman Filtering Framework .” In International Conference on Intelligent Systems Design and Applications, pp. 530-539. Springer, Cham, ISBN 978-3-030-49342-4, (2019).
  5. Maurya, Sudarshan, Naveen Kumar Tiwari, and S. C. Gupta. “Layered software defined networking.” In Optical and Wireless Technologies: Proceedings of OWT 2017, pp. 351-362. Springer Singapore, 2018.
  6. Ankur Tripathi, Naveen Kumar Tiwari, Ankita Srivastava, Shikhar Pandey, Job Scheduling for HPC-Cluster Using DynPP Scheduler (Dynamic Priority Policy), National Conference on Development of Reliable Information Systems, Techniques and Related Issues (DRISTI), Page-56, ISBN-9789381583272, (2012)

Administrative Responsibilities

  1. Warden, Gulmohar Boys Hostel
  2. In-Charge, Institute Website
  3. In-Charge, Central Computer Center
  4. Coordinator, Deen Dayal Upaddhyay Quality Improvement Program
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