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Faculty Profile

Engr. Prof. Dr. Ahmed Sohaib

Professor, Computer Science

Director QEC

Chair, Center of Software Innovation, Training Technopreneurship & Commercialization (CSITEC)

ahmed.sohaib@thekit.edu.pk

(068) 111 000 155 Ext. 107

Engr. Prof. Dr. Ahmed Sohaib is currently serving as Professor of Computer Science at KIT. He is also serving as Director of Quality Enhancement Cell and Chair of the Center of Software Innovation, Trainings, Technopreneurship, and Commercialization at KIT. Prior to joining KIT, he served as Director of the Institute of Computer and Software Engineering at Khwaja Fareed University of Engineering and Information Technology. He was also founder of the Advanced Image Processing Research Lab at KFUEIT, which hosted state-of-the-art hyperspectral imaging sensors. He specializes in image processing, computer vision, and spectral imaging. With a strong publication record in hyperspectral imaging applications across agriculture, food safety, and healthcare, Dr. Sohaib contributes to advancing interdisciplinary research in AI-powered visual systems. His recent work focuses on sustainable agriculture technologies, IoT applications, deep learning for medical imaging, and intelligent food adulteration detection using hyperspectral methods.

He has also served as Associate Dean, Director of IT Services, Director of Student Facilitation Service Center, Director Student Affairs, Convenor of Admissions Committee, and Director of the South Punjab Institute of Skills Development at Khwaja Fareed University of Engineering and Information Technology prior to joining Khanpur Institute of Technology.

Education

  • 2018, PhD Computer Science and Engineering, The Australian National University
  • 2011, Graduate Course Work, National University of Singapore
  • 2009, BS in Computer System Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, (Gold Medal)

Research Interests

  • Hyperspectral Imaging
  • Image Processing
  • Computer Vision
  • Software Development
  • IoT in Agriculture
  • Food Safety & Quality Detection
  • Smart Cities and Embedded Systems

Awards & Distinctions

  • Certificate of Appreciation of outstanding performance for Year 2024 at KFUEIT.
  • Certificate of Appreciation of outstanding performance for Year 2023 at KFUEIT.
  • Certificate of Appreciation of outstanding performance for Year 2020 at KFUEIT.
  • Best Teacher Award for Year 2018 at KFUEIT.
  • Australian National University Higher Degree Research merit scholarship from 2011-2015
  • Australian National University – National ICT Australia PhD scholarship from 2011-2015.
  • National ICT Australia supplementary scholarship from 2011-2015.
  • Gold Medal for best academic performance amongst the candidates of BS in computer System Engineering, at GIKI, 2009
  • Best final year project prize at industrial open house and career fair in 2009 at GIKI.
  • Dean’s Roll of Honor for getting High Distinction in academics in 3rd, 4th , 5th, 6th, 7th, 8th semester of BS computer engineering at GIKI
  • Best research project of humanities at GIKI in 2006
  • Secured 1st prize in Humanities Course at GIKI in 2006
  • Academic distinction in Computer Science department at GCU in 2004.

Publications

2025

  • Iqbal, M., Aqeel, M., & Sohaib, A. (2025). Noninvasive multiclass milk contaminants detection using hyperspectral imaging and hybrid ensemble learning. Journal of Dairy Science.
  • Balakrishnan, P., Leema, A. A., Jothiaruna, N., Assudani, P. J., Sankar, K., Kulkarni, M. B., & Bhaiyya, M. (2025). Artificial intelligence for food safety: from predictive models to real-world safeguards. Trends in Food Science & Technology, 163, 105153.

2024

  • Hossein-Zadeh, N. G. (2025). Artificial intelligence in veterinary and animal science: applications, challenges, and future prospects. Computers and Electronics in Agriculture, 235, 110395.
  • Aqeel, M., Sohaib, A., Iqbal, M., & Ullahd, S. S. (2024). Hyperspectral Identification of Milk Adulteration Using Advance Deep Learning. IEEE Access.
  • Rustam, F., Aqeel, M., Sohaib, A., Iqbal, M., Rehman, H. (2024). Hyperspectral Identification of Oil adulteration using machine learning techniques. Journal of Current Research in Food Science.
  • Shahab, H., Iqbal, M., Sohaib, A., Khan, F. U., & Waqas, M. (2024). IoT-based agriculture management techniques for sustainable farming: A comprehensive review. Computers and Electronics in Agriculture, 220, 108851.

2023

  • Ramzan, H. A., Sohaib, A., Ramzan, S., Kalsum, T., Aqeel, M., & Majeed, M. (2023, November). Facial Emotion Recognition using Deep Learning (FERDL). In 2023 25th International Multitopic Conference (INMIC) (pp. 1-4). IEEE.
  • Hafeez, U., Umer, M., Hameed, A., Mustafa, H., Sohaib, A., Nappi, M., & Madni, H. A. (2023). A CNN based coronavirus disease prediction system for chest X-rays. Journal of Ambient Intelligence and Humanized Computing, 14(10), 13179-13193.
  • Hameed, A., Umer, M., Hafeez, U., Mustafa, H., Sohaib, A., Siddique, M. A., & Madni, H. A. (2023). Skin lesion classification in dermoscopic images using stacked convolutional neural network. Journal of Ambient Intelligence and Humanized Computing, 14(4), 3551-3565.
  • Mustafa, H., Umer, M., Hafeez, U., Hameed, A., Sohaib, A., Ullah, S., & Madni, H. A. (2023). Pepper bell leaf disease detection and classification using optimized convolutional neural network. Multimedia Tools and Applications, 82(8), 12065-12080.

2021

  • Khan, M. H., Saleem, Z., Ahmad, M., Sohaib, A., Ayaz, H., Mazzara, M., & Raza, R. A. (2021). Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants. Neural Computing and Applications, 33(21), 14507-1452
  • Zulfiqar, M., Ahmad, M., Sohaib, A., Mazzara, M., & Distefano, S. (2021). Hyperspectral imaging for bloodstain identification. Sensors, 21(9), 3045.

2020

  • Ayaz, H., Ahmad, M., Mazzara, M., & Sohaib, A. (2020). Hyperspectral imaging for minced meat classification using nonlinear deep features. Applied Sciences, 10(21), 7783.
  • Mumtaz, Z., Ilyas, Z., Sohaib, A., Ullah, S., & Madni, H. A. (2020). Design and implementation of user-friendly and low-cost multiple-application system for smart city using microcontrollers. arXiv preprint arXiv:2010.07016..
  • Ayaz, H., Ahmad, M., Sohaib, A., Yasir, M. N., Zaidan, M. A., Ali, M., … & Saleem, Z. (2020). Myoglobin-based classification of minced meat using hyperspectral imaging. Applied sciences, 10(19), 6862.
  • Saleem, Z., Khan, M. H., Ahmad, M., Sohaib, A., Ayaz, H., & Mazzara, M. (2020). Prediction of microbial spoilage and shelf-life of bakery products through hyperspectral imaging. Ieee Access, 8, 176986-176996.
  • Khan, M. H., Saleem, Z., Ahmad, M., Sohaib, A., Ayaz, H., & Mazzara, M. (2020). Hyperspectral imaging for color adulteration detection in red chili. Applied Sciences, 10(17), 5955.
  • Ahmad, M., Mazzara, M., Raza, R. A., Distefano, S., Asif, M., Sarfraz, M. S., … & Sohaib, A. (2020). Multiclass non-randomized spectral–spatial active learning for hyperspectral image classification. Applied Sciences, 10(14), 4739.

2019

  • Khan, M. H., Saleem, Z., Ahmad, M., Sohaib, A., & Ayaz, H. (2019). Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification. arXiv preprint arXiv:1911.03711.
  • Hussain Khan, M., Saleem, Z., Ahmad, M., Sohaib, A., & Ayaz, H. (2019). Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification. arXiv e-prints, arXiv-1911.
  • Robles-Kelly, A., SOHAIB, A., & HABILI, N. (2019). S. Patent No. 10,356,336. Washington, DC: U.S. Patent and Trademark Office.

2017

  • Sohaib, A. (2017). Non-parametric Methods for Automatic Exposure Control, Radiometric Calibration and Dynamic Range Compression.

2015

  • Sohaib, A., & Robles-Kelly, A. (2015, November). Exposure adjustment for hyperspectral cameras. In 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-7). IEEE.
  • Sohaib, A., & Robles-Kelly, A. (2015, September). Radiometric calibration for hdr imaging. In 2015 IEEE International Conference on Image Processing (ICIP) (pp. 2815-2819). IEEE.
  • Sohaib, A., & Robles-Kelly, A. (2015). Exposure time calculation for spectral cameras. Journal of Electronic Imaging, 24(5), 053025-053025.

2013

  • Sohaib, A., Habili, N., & Robles-Kelly, A. (2013, September). Automatic exposure control for multispectral cameras. In 2013 IEEE International Conference on Image Processing (pp. 2043-2047). IEEE.

The last date for the admission test is scheduled for Sept 22, 2025.