Home/Colleges/Technology/Computer Engineering/Dr. Chetan Singh Negi
Dr. Chetan Singh Negi
Department of Computer Engineering

Dr. Chetan Singh Negi

Associate Professor
  • QualificationB.Tech, M.Tech, PhD
  • SpecialisationImage Processing, Computer Vision, Machine Learning & Deep Learning; Data Science & Data Mining, Nature Inspired Algorithms
  • Emailcsnegitctgbpuatacin, negichetangmailcom
  • Contact8449177755

Research Areas/Areas of interest

  • Image Processing, Machine Learning

Selected Research Publications

  1. A Texture Features-Based Robust Facial Expression Recognition — International Journal of Computer Vision and Image Processing, 2022
  2. Watermarking Flat HDR images using Symlet — International Journal of Creative Research Thoughts, 2022
  3. Covid-19 Prediction based on Symptoms using Machine Learning. — International Journal of Engineering Research & Technology, 2022
  4. Using Ensemble and TOPSIS with AHP for Classification and Selection of Web Services — Vietnam Journal of Computer Science, 2022
  5. Web service discovery with incorporation of web services clustering — International Journal of Computers and Applications, 2023
  6. Modified Sand Cat Swarm Optimization (MSCSO) based Feature Selection for Classification of Diseases in Tomato Leaves — International Journal of Computer Science, Engineering, and Information Technology,, 2024
  7. Verification of transaction-aware web services composition through formal methods — International Journal System Assurance Engineering and Management, 2024
  8. Modified Grey Wolf Optimization based Feature Selection for Tomato Plant Disease Classification — International Conference, 2024
  9. Feature Selection using Modified PSO with Mutual Information for Tomato Leaf Disease Identification — International Conference, 2024
  10. Efficient Malware Classification Using 1D-CNN and Stacked Ensemble Techniques — International Conference, 2024
  11. A Unified Framework for Image Denoising using Enhanced Super-Resolution Generative Adversarial Networks — International Journal of Intelligent Engineering Informatics, 2024

Patents

  1. METHOD AND SYSTEM TO CLASSIFY THE IMAGES AS A GENUINE IMAGE AND A FRAUD IMAGE — Application No. 202111042340A, 2021, Filed
  2. A system for mirror list query architecture of multi-architecture cloud platform mirror warehouse. — Application No. 202221020512, 2022, Filed
  3. Detection of covid-19 using x-ray images with deep learning based saliency approach — Application No. 202211041508A, 2022, Filed

Other Work

  • Officer Incharge, KNSCCF
  • Nodal Officer, University NAD Cell
  • Department NEP Coordinator
  • Department Time Table In-charge
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