Electronics & Communication Engineering

Dr. Nafis uddin Khan

Dr. Nafis uddin Khan
Assistant Professor (SG)
( 91)-01792-239507
nafisuddin.khan@juit.ac.in
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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 10 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 22 research papers based on his Ph.D. work and outside Ph.D. work in various journals and conferences of national and international repute.    

Area of Expertization:
Digital Signal and Image Processing
Signals and Systems Theory
Fuzzy Sets and Theory
Fuzzy based Applications in Signal and Image Processing
Pattern Recognition and Machine Intelligence

Software and Hardware Skills:
MATLAB (Image and signal Processing Toolbox)
C and C++
Python
Electronic Circuit and PCB Designing

List of BTech/MTech/PhD Projects completed/ongoing:
B.Tech Project Supervision:


Sr. No.

Title of project report

No. of Students

Pass out Year

1

Histogram based Image Enhancement and De-noising

2

2014

2

Character Recognition

3

2014

3

Medical Image Enhancement

3

2014

4

Adaptive Median Filtering

3

2015

5

Directional Weighted Median Filter

3

2015

6

Biomedical Signal Processing

2

2015

7

SVD based Image De-noising

2

2016

8

Morphology based Character Recognition

2

2016

9

Fuzzy based Image Compression

2

2016

10

Fuzzy based Anisotropic Diffusion

3

2017

11

Medical Image Segmentation

2

2017

12

Brain Tumor Detection in MRI Images

2

2017

13

Biomedical Signal Processing

2

2018

14

Radar  Signal Processing

2

2018

15

SVD based Image Compression

3

2019

16

Medical Image Processing

2

2019

17

Text Detection from Document Images

2

2019

18

Plant Disease Detection using Image Processing

2

2020

19

A Non-intrusive Approach for Driver’s Drowsiness Detection

2

2020

20

Patient Monitoring System

2

2021

21

Traffic Light Controlling System

2

2021

22

Analysis and Classification of Heart diseases using Machine Learning

1

2022

M.Tech Project Supervision:


Sr. No.

Title of Dissertation

Name  of  Student

Year of Passing

1

Face and Iris Multimodal Biometric Based Human Recognition

Ayushi Agarwal

2015

2

Image Enhancement and De-noising using Histogram Statistics in Anisotropic Diffusion

Nimisha Jain

2016

3

Analysis of Components of Butler Matrix with Arbitrary Gains and Phase shifts

Diksha Thakur

2018

PhD Thesis Supervision:


Sr. No.

Title of Dissertation

Name  of  Student

Year of Registration

1

Non Local Neighborhood Processing and Anisotropic Diffusion Approaches for Adaptive Image Enhancement and De-noising

Nivadita Thakur

2019

2

Image Segmentation using K – Means and Fuzzy C- Means Algorothm

Munish Bhardwaj

2021

Author Publication Profile:
Book(s) :
  • Shyam Singh Rajput, Nafis uddin Khan, Amit Kumar Singh and Karm Veer Arya (2022). Digital Image Enhancement and Reconstruction. India: Elsevier. [ISBN : 9780323983709] . Google Search
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