Dr. Vishal Kumar Pandey

Designation: Assistant Professor

Academic Area: Signal and Image Processing

Brief Profile:

Dr. Vishal Kumar Pandey is working as an Assistant Professor in Information and Communication Technology, Faculty of Engineering Sciences and Technology at Adani University, Ahmedabad, Gujarat. He has done his Ph.D. in the area of Image Processing from Netaji Subhas Institute of Technology, Delhi, India. He has more than 10 years of teaching and research experience.

Prior to joining us, he worked as Associate Professor at University of Engineering & Management, Jaipur. He is a member of the IEEE Society. He has published several research papers in reputed international journals and conferences. He served as a reviewer for numerous journals and national/international conferences. His research interests are in Image Processing and Computer Vision.


  • 2025: PG Level Advanced Certification Programme in Deep Learning Foundations and Applications from Indian Institute of Science (IISc), Bangalore.
  • 2022: Ph.D. in Electronics & Communication Engineering from Netaji Subhas Institute of Technology (NSIT), Delhi.
  • 2014: M.Tech. in Electronics & Communication Engineering from Motilal Nehru National Institute of Technology (MNNIT), Allahabad.
  • 2012: B.Tech. in Electronics Engineering from Kamla Nehru Institute of Technology (KNIT), Sultanpur.

Professional Experience

  • May 2025 – Present: Assistant Professor, Department of Information and Communication Technology, Adani University, Ahmedabad.
  • August 2018 – May 2025: Associate Professor, University of Engineering & Management, Jaipur.
  • October 2014 – August 2018: Teaching cum Research Fellow (TRF), Netaji Subhas Institute of Technology, Delhi.

IEEE, Indraprastha Vigyan Bharati

Awards and Scholarships

  • Received the Vice-Chancellor’s Award for Best Teaching three times in consecutive semesters
    University of Engineering & Management (UEM), Jaipur
  • Teaching-cum-Research Fellowship (2014–2018)
    Netaji Subhas Institute of Technology, New Delhi, India
  • Ministry of Human Resource Development (Government of India) Scholarship (2012–2014)
    Motilal Nehru National Institute of Technology, Allahabad, India

Image and Signal Processing, Computer Vision

Journal Papers

  • Pandey, Vishal Kumar, Jyotsna Singh, and Harish Parthasarathy. “Algebraic technique for computationally efficient Hahn moment invariants.”
    Multidimensional Systems and Signal Processing 29, no. 4 (2018): 1529–1552.
  • Pandey, Vishal Kumar, Varun Saxena, and Jyotsna Singh. “Robust optical flow estimation using Tchebichef moment invariant feature.”
    Arabian Journal for Science and Engineering 44 (2019): 6911–6921.
  • Pandey, Vishal Kumar, Jyotsna Singh, and Harish Parthasarathy. “Estimating the moments of a random forcing field of 2D fluid from image sequences using energy minimisation method.”
    Arabian Journal of Mathematics 10 (2021): 201–210.

Conference Papers

  • Pandey, Vishal Kumar, Jyotsna Singh, and Harish Parthasarathy. “Translation and scale invariance of 2D and 3D Hahn moments.”
    In 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), pp. 255–259. IEEE, 2016.
  • Pandey, Vishal Kumar, Ahsaas Bajaj, Jyotsna Singh, and Harish Parthasarathy. “Image analysis using Bateman moment.”
    In 2016 1st India International Conference on Information Processing (IICIP), pp. 1–4. IEEE, 2016.
  • Pandey, Vishal Kumar, Jyotsna Singh, and Harish Parthasarathy. “Fractional order Tchebichef moment and its invariants.”
    In 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1078–1082. IEEE, 2018.
  • Ranjan, Prashant, Surjit Sur, and Vishal Kumar Pandey. “Multiple mode resonator based triple band filter for WLAN, intelligent transportation system, satellite communication and X-band applications.”
    In 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), pp. 247–250. IEEE, 2019.

Image and Signal Processing, Computer Vision, Deep learning, Machine Learning

Workshops and Training Programs

  • Participated in a five-day QIP workshop on “Statistical Techniques and R Software (STARS-2020)” from 10/02/2020 to 14/02/2020 at IIT Kanpur.
  • Attended a one-week online STTP sponsored by AICTE, New Delhi on “Recent Advances and Trends in Machine Learning: Theory and Application” from 08/02/2021 to 13/02/2021, organized by Department of Electrical Engineering, Asansol Engineering College, West Bengal.
  • Participated in a five-day AICTE Training and Learning (ATAL) Academy FDP on “Applied Machine Learning” from 21/07/2021 to 25/07/2021 at Indian Institute of Technology Ropar.
  • Participated in a five-day AICTE Training and Learning (ATAL) Academy FDP on “Object Identification and Image Intelligence: A Practical Approach” from 25/10/2021 to 29/10/2021 at Women’s Polytechnic.
  • Participated in a five-day AICTE Training and Learning (ATAL) Academy FDP on “Recent Trends and Challenges in Image Processing and Computer Vision” from 29/11/2021 to 03/12/2021 at University School of Information and Communication Technology, Guru Gobind Singh IP University.
  • Participated in a five-day AICTE Training and Learning (ATAL) Academy FDP on “Artificial Intelligence in Image Processing” from 20/12/2021 to 24/12/2021 at Indian Institute of Information Technology, Nagpur.
  • Participated in a six-day AICTE Training and Learning (ATAL) Academy FDP on “High Performance Computing for Medical Image Processing and Computer Vision” at MNNIT Allahabad from 09/12/2024 to 14/12/2024.
  • Conducted a five-day Short-Term Training Program on “MatLab for Scientific Computations” held from 03/03/2025 to 07/03/2025, organized by the Department of Electronics & Communication Engineering, University of Engineering & Management, Jaipur.

Additional Contributions and Technical Skills

  • Provided two weeks of MATLAB training to undergraduate students during the summer training program at MNNIT Allahabad.
  • Served as a Doctorate Research Committee member at University of Engineering & Management (UEM), Jaipur.
  • Actively participated in several workshops and refresher courses.
  • Attended several MOOCs (Coursera, LinkedIn Learning) and ATAL FDPs on recent trends such as Machine Learning and Deep Learning.
  • Proficient in a range of technical tools, including Python, MATLAB, Scilab, LaTeX, Proteus, Keil, LTspice, Arduino, and WordPress.
  • Worked as a conference organizer for the IEMECON IEEE conference.