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Sunil Kumar

Assistant Professor, Computer Science and Engineering (CSE)

Sunil.kumar7@sharda.ac.in

About

Mr. Sunil Kumar is currently posted as Assistant Professor in the Department of Computer Science and Engineering, at School of Engineering and Technology, Sharda University, India. He is pursuing Ph.D. in Computer Science & Engineering from Banasthali Vidyapith, Rajasthan. He has graduated in Computer Science & Engineering from R.G.P.V University, Bhopal, holds an M Tech in Image Processing from National Institute of Technology (NIT), Bhopal. Mr. Kumar has more than 7 years of experience in the field of teaching and administration.

Experience
  • 7 Years
Qualification
  • PhD Pursuing, M Tech, B Tech
Award & Recognition

  • Gate Qualified 8 times and 2 times NET Qualified

Research

  • Kumar, S., Jailia, M., & Varshney, S. (2022). An efficient approach for highway lane detection based on the Hough transform and Kalman filter. Innovative Infrastructure Solutions, 7(5), 1-24.
  • Kumar, S., Jailia, M., & Varshney, S. (2022). Improved YOLOv4 Approach: A Real Time Occluded Vehicle Detection. International Journal of Computing and Digital Systems11(1), 489-497.
  • Kumar, S., Jailia, M., & Varshney, S. (2022, March). A Comparative Study of Deep Learning based Lane Detection Methods. In 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 579-584). IEEE.
  • Kumar, S., & Jailia, M. (2018). Smart Cities with spatial data infrastructure and big data-a critical review. International Journal of Advanced Studies of Scientific Research3(11).
  • Kumar, S., Upadhyay, A. K., Dubey, P., & Varshney, S. (2021, February). Comparative analysis for Edge Detection Techniques. In 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 675-681). IEEE.
  • Agrawal, N., & Kumar, S. (2018, March). Centralized mechanism for device encapsulation prevention in Internet of Things. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-5). IEEE.
  • Agrawal, N., Kumar, S., & Sah, D. K. (2018, March). Prevention of DDoS attack through harmonic homogeneity difference mechanism on traffic flow. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE.
  • Chaya, S., Jayasree, P. V. Y., Kumar, S., & Sah, D. K. (2018, March). Boolean directional sensor orientation solution for K-coverage in wireless sensor network. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE.
  • Kumar, S., Karki, B., Mahmood, M., Vishnoi, S., & Shivhare, G. LANE AND VEHICLE DETECTION USING COMPUTER VISION AND DEEP LEARNING.
  • Dubey, N., & Kumar, S. PARAMETER ESTIMATION OF SOFTWARE RELIABILITY GROWTH MODEL USING ARTIFICIAL ECOSYSTEM BASED OPTIMIZATION.

 

Certifications

  • Machine Learning with Python
  • Innovation Ambassador training (Foundation Level) conducted by MoE's Innovation Cell & AICTE
  • Internet of Things: Implementation using Arduino uno
  • Institutional Development Plan (IDP) for Academic Excellence
  • Outcome Based Education (OBE) Training
  • Impact Lecture Series organized by IIC 3.0, National Institute of Technology Silchar

Area of Interest

  • Algorithm
  • Operating System
  • Data Base Management System
  • Data Structure
  • Deep Learning
  • Computer Networking
  • Artificial Intelligence and Machine Learning (AI/ML)