Faculty Profile

Dr. Shahzad Hussain
Lecturer
PhD Computer Science, Khwaja Fareed University of Engineering and Information Technology, Pakistan

Dr. Shahzad Hussain is a Lecturer and Researcher at Khawaja Fareed University of Engineering and Information Technology, where he has been serving since September 2017 in the Institute of Computer Science. He completed his PhD in Computer Science from Khawaja Fareed University of Engineering and Information Technology, Pakistan. He earned his MS in Computer Science from National College of Business Administration and Economics, Lahore and his Master of Computer Science (MCS) degree from The Islamia University of Bahawalpur, where he achieved a Silver Medal for outstanding academic performance. His research interests include Machine Learning, Deep Learning, Computer Vision and Computer-Aided Diagnosis (CAD) systems for medical imaging. He has supervised numerous undergraduate and graduate research projects in Artificial Intelligence, Deep Learning, Medical Imaging, IoT, Smart Agriculture, and Healthcare Systems. His research contributions include publications in internationally recognized journals, particularly in AI-driven physiotherapy systems, medical imaging, and intelligent diagnostic applications. He is proficient in Python, Django, Deep Learning frameworks, OpenCV, MONAI, and AI-based application development. In addition to teaching and research, he actively performs several academic and administrative responsibilities, including Quality Enhancement Cell (QEC) coordination, student affairs management, project supervision, and sports coordination. Beyond academics, he has a strong passion for football, sports leadership, tourism, and Islamic history. He has represented football at the national level and has also served as president and manager of the university football team at KFUEIT.

  1. Hussain, S., Siddiqui, H. U. R., Saleem, A. A., Raza, M. A., Alemany-Iturriaga, J., Velarde-Sotres, Á., ... & Dudley, S. (2024). Smart physiotherapy: advancing arm-based exercise classification with PoseNet and ensemble models. Sensors, 24(19), 6325. [First Author | Q2 Journal | HEC W-Category]
    https://www.mdpi.com/1424-8220/24/19/6325
  1. Hussain, S., Siddiqui, H. U. R., Saleem, A. A., Raza, M. A., Iturriaga, J. A., Velarde-Sotres, A., & Díez, I. D. L. T. (2024). Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment. Sensors, 24(17), 5533. [First Author | Q2 Journal | HEC W-Category]
    https://www.mdpi.com/1424-8220/24/17/5533
  1. Aqeel, M., Hussain, S., Shahab, H., Khan, K. B., & Munir, K. (2026). Non-destructive honey adulteration fraud identification using hyperspectral imaging and deep learning. Food Control, 190, 112384. [Co-Author | Q1 Journal | HEC W-Category]
    https://www.sciencedirect.com/science/article/pii/S0956713526004299?via%3Dihub
  1. Mehmood, R., Lee, M. , Hussain, S., & Riaz, M. (2019). On efficient construction and evaluation of runs rules–based control chart for known and unknown parameters under different distributions. Quality and Reliability Engineering International, 35(2), 582-599. [Co-Author | Q2 Journal | HEC W-Category]
    https://onlinelibrary.wiley.com/doi/10.1002/qre.2423
  1. Azam, H., Ashraf, A., Hussain, S., Rehman, G., & Shahab, H. (2025). AI-Based Clinical Decision Support System for Thyroid Nodule Classification in Ultrasound Imaging with Web-Based Implementation. International Journal of Emerging Engineering and Technology, 4(2), 36-43. [Corresponding Author | HEC Y-Category]
    https://grsh.org/journal1/index.php/ijeet/article/view/71
  1. Imtiaz, M., Aslam, S., Hussain, S., Shahab, H., & Razi, M. A. (2026). Automated Skin Disease Classification Using Deep Learning with an Integrated Web-Based Clinical Decision Support System. Spectrum of Engineering Sciences, 4(3), 2155-2168. [Corresponding Author | HEC Y-Category]
    https://zenodo.org/records/20261524
  1. Bakar, M. A., Rehman, H., Hussain, S., & Shahab, H. (2026). A Hybrid Deep Learning Web Platform for Cotton Crop Monitoring and Disease Management. Spectrum of Engineering Sciences, 4(1), 1279-1293. [Corresponding Author | HEC Y-Category]
    https://zenodo.org/records/20270667
  1. Mahad, M., Akram, M. A., Hussain, S., & Shahab, H. (2026). Cloud vs. Edge AI for Pakistan’s criminal legal system: a policy-oriented comparative analysis of retrieval-augmented generation architectures. Policy Research Journal, 4(3), 1228-1242 [Corresponding Author | HEC Y-Category]
    https://zenodo.org/records/20280880
  1. Rehman, G., Shahab, H., Maqbool, A., & Hussain, S. (2025). Development of an IOT-Based Real-Time Patient Health Monitoring System. Pakistan Journal of Scientific Research, 5(02), 170-174. [Co-Author | HEC Y-Category]
    http://paas-pk.org/index.php/pjosr/article/view/2026
  1. Rehman, G., Aqeel, M., Maqbool, A., Razi, M. A., Shahab, H., & Hussain, S. (2026). Traffic and Security Management System: Real-Time Video Anomaly Detection Using AI Models. Spectrum of Engineering Sciences, 4(2), 1217-1230. [Co-Author | HEC Y-Category]
    https://zenodo.org/records/20261344
  1. Sultan, S., Bajwa, U. S., Zahra, D., Aqeel, M., Hussain, S., & Shahab, H. (2025). Maize Seeds Quality Evaluation and Classification Using an AI-driven Mobile App for Precision Agriculture. Pakistan Journal of Science, 77(04), 609-619. [Co-Author | HEC Y-Category]
    https://paas-pk.org/index.php/pjs/article/view/2030
  1. Jamil, M., Bari, M., Saleem, L., & Hussain, S. (2026). The Satellite-Based Assessment of Urbanization's Impact on Wetland Ecosystems: A Case Study of Pakistan. Sir Syed University Research Journal of Engineering & Technology, 16(1), 26-32. [Co-Author | HEC Y-Category]
  1. Safdara, W., Abbasa, M. H., Shahaba, , Hussainb, S., Akrama, D., & Waqasc, M. M. IOT-Based Smart Farming System for Non-Destructive Real-Time Soil Monitoring of Sorghum Crop. Malaysian Journal of Sustainable Agriculture (MJSA) 10(2) (2026) 91-95. [Co-Author | HEC Y-Category]
    https://myjsustainagri.com/mjsa-02-2026-91-95/
  1. Imtiaz M, Aqeel M, Shahab H., Sargana H.M., & Waqasc, & Hussain, S. (2026). Development of a Real-Time Weed Mapping And Precision Herbicidespraying Agribot System using IOT and Computer Vision Technologyto Enhance Crops Monitoring. Big Data in Agriculture (BDA) 8(1) (2026) 47-51. [Co-Author | HEC Y-Category]
    https://bigdatainagriculture.com/bda-01-2026-47-51/
  1. Akrama, D., Mehmooda, M. A., Qudoosa, R. K., Shahaba, H., Hussainb, S., & Waqasc, M. M. IOT-Based Smart Irrigation And Environmental Monitoring System Using Cloud Platform and Mobile App Integration. Big Data in Agriculture (BDA) 8(2) (2026) 66 -71. [Co-Author | HEC Y-Category]
    https://bigdatainagriculture.com/bda-02-2026-66-71/

Manuscript Under Review

  1. A Medical Image Encryption Scheme using Novel Shifted S-Box Transformation and Genetic Algorithms (In Peer-Review Process)

Peer Reviewer

  • Scientific Reports — 2 manuscripts reviewed, 2025
  • The Journal of Supercomputing — 1 manuscript reviewed, 2025
  • Discover Artificial Intelligence — 1 manuscript reviewed, 2026
  • Peer-to-Peer Networking and Applications — 1 manuscript reviewed, 2026

Thesis Evaluation (MS & PhD)

  • Internal Reviewer for PhD thesis titled “Human Activity Recognition in Domestic Settings Based on Optical and Non-Optical Techniques and Ensemble Models”, Institute of Computer Science, KFUEIT, Punjab, Pakistan.

Funded Projects

  • Funded by Ignite, Pakistan, Spring 2024: “Smart-Toy” BSCS (Members: COSC212101004 Sharjeel Ahmed, COSC212101031 Hamza Ahmed)
  • Funded by Ignite, Pakistan, Fall 2021: “Rahber” BSCS (Members: COSC18111006 Sareena Ilyas, COSC18111028 Nimra Akram)

Proposal Submitted for Grant Allocation

  • August 2026; HEC, Pakistan, “AI-Based Radar-Vision Fusion System on UGV for Human Detection, Classification and Tracking in Restricted-Area Surveillance”
  • August 2026: HEC, Pakistan, “Vision-Augmented AI Pre-Hijack Detection and Cyber-Resilient Safe Recovery System for UAVs”

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Deep Learning (DL)
  • Computer Vision
  • Image Processing

  • Silver Medal in Master in Computer Science (M.C.S).
  • Introduction to Artificial Intelligence (AI), IBM (coursera)
  • Getting Started with AI using IBM Watson, IBM (coursera)
  • Building AI Powered Chatbots Without Programming, IBM (coursera)
  • AI Foundation for Everyone, IBM (coursera)
  • Machine Learning Foundations: A Case Study Approach, University of Washington(coursera)
  • Machine Learning: Regression, University of Washington (coursera)
  • Machine Learning: Classification, University of Washington (coursera)
  • Machine Learning: Clustering & Retrieval, University of Washington (coursera)
  • Supervised Machine Learning: Regression and Classification, Stanford|ONLINE Deeplearning.AI (coursera)
  • Neural Networks and Deep Learning, DeepLearning.AI (coursera)
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, DeepLearning.AI (coursera)
  • Sequence Models, DeepLearning.AI (coursera)
  • Natural Language Processing with Classification and Vector Spaces, DeepLearning.AI (coursera)
  • Deep Learning Fundamentals, Cognitive Class.ai
  • Deep Learning with TensorFlow, Cognitive Class.ai
  • Programming for Everybody (Getting Started with Python), University of Michigan (coursera)
  • Introduction to the Internet of Things and Embedded Systems, University of California, Irvine (coursera)
  • Certificates of honor from Sports Department, Khawaja Fareed University of Engineering and Information Technology, Pakistan, in recognition of his Services and Dedicated Efforts in Organizing the Sports Events: 2019-20, 2020-21, 2020-21 and 2023.

  • The President, University Football Team, KFUEIT
  • Sports Coodinator, Department of Computer Science. KFUEIT
  • Member of Admission Committee BSCS Program, Department of Computer Science, KFUEIT
  • Procurement Coodinator, Department of Computer Science, KFUEIT
  • Member of Board of Studies, KFUEIT
  • SAR Reviewer BSCS Program, Department of Computer Science, KFUEIT