Mr. Khalid Hussain has completed Ph.D. work and currently working as a lecturer in Department of Computer Science of FAST-NUCES Chiniot Faisalabad Campus. Mr. Hussain earned a Bachelor of Engineering in Computer System Engineering from Hamdard University, Karachi, Pakistan, in 2014, thanks to a fully funded scholarship from Pakistan’s Ministry of Information Technology. He won first place in Bachelor and was awarded a “Gold Medal,” as well as being ranked “A Shinning Prime Minister’s National ICT Scholar.” Previously, Mr. Hussain joined the National University of Computer and Emerging Sciences (NUCES), Pakistan, after graduation and worked there for four years before earning a master’s degree in Electrical Engineering from NUCES in 2018 on a faculty development scholarship. After that, Mr. Hussain won a Ph.D. scholarship from the Higher Education Commission of Pakistan and began his studies at Universiti Putra Malaysia in January, 2019.
His expertise includes image processing, medical imaging (SPECT) machine learning, and artificial intelligence applications for advancing human health and security.
MS (Electrical Engineering), National University of Computer & Emerging Sciences, CFD Campus, Pakistan, 2018
BE(CSE), Hamdard Institute of Engineering and Technology, Hamdard University, Karachi, Pakistan, 2014
Hussain, Khalid, Mohammed A. Alnafea, M. Iqbal Saripan, Djelloul Mahboub, Rozi Mahmud, Wan Azizun Wan Adnan, and Dong Xianling. “An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection.” Diagnostics 12, no. 10 (2022): 2529.)
Hussain, Khalid, M Iqbal Saripan, Mohammed A. Alnafea, Djelloul Mahboub, Rozi Mahmud, Wan Azizun Wan Adnan, and Dong Xianling. “Three Dimensional Coded Aperture Scintigraphy Proposed for Early Tumor Detection” International Journal of Radiation Research. (Under review, IF:0.779)
Hussain, Khalid, M Iqbal Saripan, Mohammed A. Alnafea, Djelloul Mahboub, Rozi Mahmud, Wan Azizun Wan Adnan, and Dong Xianling ” Monte Carlo Simulation of 3D Breast Tumor Imaging
with Lower TBR Using Coded Aperture Gamma Camera ” IEEE Transactions on Radiation and Plasma Medical Sciences. (Under review)
Hussain, Khalid, Mazhar Hussain, and Muhammad Gufran Khan. “An improved acoustic scene classification method using convolutional neural networks (CNNs).” American Academic Scientific Research Journal for Engineering, Technology, and Sciences 44.1 (2018): 68-76. (published)
Khalid Hussain, M. Iqbal Saripan, Rozi Mahmud and Wan Azizun Wan Adnan “Gamma Camera Validation Using MCNP5 and GATE Monte Carlo Codes.” Symposium on Applied Engineering and Sciences (SAES2020). (Published)
Hussain, Khalid, Mazhar Hussain, and Muhammad Gufran Khan. “Improved acoustic scene classification with DNN and CNN.” In Detection and Classification of Acoustic Scenes and Events (DCASE). 2017. (Published)