Electronics & Communication Engineering

Dr. Nafis uddin Khan

Dr. Nafis uddin Khan
Assistant Professor (SG)
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Biography :

Dr. Nafis uddin Khan did B.E. in Electronics and Telecommunication from Amravati University, Maharashtra in 2003 and M. Tech. in Software Systems from S. A. T. I. Vidisha under Rajiv Gandhi Technological University, Bhopal in 2008. He has pursued Ph.D. in “Anisotropic Diffusion Approaches for Adaptive Image Enhancement and De-noising” from ABV Indian Institute of Information Technology and Management, Gwalior in 2013. Since July 2013 to December 2016, he worked as Assistant Professor in the Department of Electronics and Communication Engineering in Jaypee University of Engineering and Technology, Guna (M.P.). He joined Jaypee University of Information Technology, Solan (H.P.) in January 2017 and working as Assistant Professor in the Department of ECE. His area of interest includes digital signal and image processing, adaptive image processing and fuzzy based applications in image processing. He has more than 5 years experience of teaching undergraduate and under post graduate level courses at different Engineering institutes. He has also held various academic and administrative responsibilities during his teaching and research career. He has published 14 research papers based on his Ph.D. work and outside Ph.D. work in various journals and conferences of national and international repute.     

Author Publication Profile:
Book Chapter(s) :
  • Niveditta Thakur, Nafis uddin Khan, Sunil Datt Sharma (2021). A Comparative Analysis of Edge-Preserving Approaches for Image Filtering. In Harish SharmaMukesh SaraswatSandeep KumarJagdish Chand Bansal, Intelligent Learning for Computer Vision (pp. 441-453). : Springer. [ISBN : 978-981-33-4582-9] . Google Search
Journal(s) :
Conference(s) :
Abstract/ Poster Presentations/ Invited Lectures in Conferences :
  • Niveditta Thakur, Nafis uddin Khan, Sunil Datt Sharma (2020). A Comparative Analysis on Edge Preserving Approaches for Image Filtering. Proceedings of the Congress on Intelligent Systems CIS 2020 [https://www.springer.com/series/11156 : World Conference in Virtual Format : September 05-06, 2020], pp.-.. Google Citation