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  • Engr. Adil Humayun Khan

  • Job Title :

    Lab Instructor

  • College :

    College of Engineering

  • Department :

    Electrical Engineering

Secured Bachelor’s degree in Electrical Engineering from COMSATS University Lahore, Pakistan in 2008, as a Gold Medalist. Degree of MS in Electrical Engineering was secured from King Fahd University of Petroleum and Minerals in 2013. I have experience in mostly used electrical engineering software e.g. Matlab, Labview, Multisim and Pspice, also having experience in industrial field software used in RF Planning such as TEMS and Mapinfo. I worked as Lab Engineer in COMSTAS Institute of Information and Technology Lahore and also designed the lab for Wireless Communication Systems. I have done work as RF Engineer at ACE Telecom, which was the sub-contractor of Etisalat. Since 2013, I have been part of PMU faculty. My research interests are in Signal and image processing, currently I am an active member of “BIOMEDICAL SIGNAL/IMAGE PROCESSING” research group in PMU. I have done work on image despeckling, segmentation and classification.


MS Electrical Engineering


Journal Publications

  • [J-5]     Recent advancements in Fuzzy C-means based techniques for brain MRI Segmentation, Current Medical Imaging, 2021 Jan 3.

  • [J-4]   QR based Despeckling Approach for Medical Ultrasound Images, CMIR, August 2018

  • [J-3]   A Hybrid Particle Swarm Optimization Technique for Adaptive Equalization, Arabian Journal for Science and Engineering, 2018, pp 1-8

  • [J-2]   Deep CNN based MR image denoising for tumor segmentation using watershed transform, International Journal of Engineering and Technology, March 2018, Volume 7 (No 2.3)
  • [J-1]   Speckle Suppression in Medical Ultrasound Images through Schur Decomposition, IET journal on image Processing, 2017

Conference Publications

  • [C-10] Spectral Decomposition By Schur for Medical Ultrasound Image Denoising, IEEE International Symposium on Advanced Electrical and Communication Technologies (ISASET), Rome, Italy, November 2019
  • [C-9]    Ultrasound Image Denoising Using Orthogonal Decomposition in Frequency Domain, 9th IEEE International Conference on System Engineering and Technology (ICSET), Malaysia, October 2019.
  • [C-8] Adil H. Khan, D.N.F. Awang Iskandar, Jawad F. Al-Asad, "Classification of Skin Lesion with Hair and Artifacts Removal Using Black-Hat Morphology and Total Variation".
  • [C-7] Segmentation of Melanoma Skin Lesions using Anisotropic Diffusion and Adaptive Thresholding, 8th International Conference on Biomedical Engineering and Technology (ICBET 2018) Proceedings, Indonesia
  • [C-6] QR based De-noising Scheme for Medical Ultrasound Images, 9th IEEE GCC Conference & Exhibition, May 2017, Manama, Bahrain.
  • [C-5] Automatic Multimodal Brain Image Classification using MLP and 3D Glioma Tumor Reconstruction, 9th IEEE GCC Conference & Exhibition, May 2017, Manama, Bahrain.
  • [C-4] Multiclass Brain Glioma Tumor Classification using Block-based 3D Wavelet Features of MR Images, 4th International Conference on Electrical and Electronics Engineering, April 2017, Ankara, Turkey.
  • [C-3] IoT based Real-time Voice Analysis and Smart Monitoring System for Disabled People, 1st International Conference on Advanced Research (ICAR -2017), Bahrain.
  • [C-2] Eye Click: Eye Gazed Based User Interface for the Disabled People, International Conference on Technology for Helping People with Special Needs, ICTHP-2013.
  • [C-1] Application of a PSO algorithm in adaptive equalization using adaptive inertia weights, The Fourth Scientific Conference for Students of Higher Education in K.S.A, 2013.

Google Scholar Link




Research Gate Link






In Image Processing Despeckiling of Ultrasound images, Segmentation and classification of Skin lesion and brain MR images.