Dr Usman Sattar

About

I am a Programme Leader and Lecturer at the University of Derby, School of Computing, College of Science and Engineering. My role focuses on the design and delivery of undergraduate and postgraduate programmes in the areas of Artificial Intelligence, Data Science, and Emerging Technologies. I bring cross-cultural academic and corporate experience from Pakistan, Malaysia, and the United Kingdom, with a strong focus on transformative digital education and applied research.

I hold a PhD in Informatics from the Malaysia University of Science and Technology and a Master’s in IT Management from the University of Sunderland, UK. I am also an approved PhD supervisor in Engineering and Technology and have delivered a range of industry-focused training programmes for both national and multinational clients. My academic and research interests centre on AI-driven solutions for healthcare, education, and intelligent systems.

I am an active member of Data Science Research Centre.

Teaching responsibilities

I am currently teaching the Scripting and Web Technologies, IT Product Design, and IT Services and Applications modules. I am also supervising final year projects at bachelor’s level and MSc dissertations.

Professional interests

My interests are in developing impactful research to solve real-life problems using Artificial Intelligence, Human Computer Interaction, and Immersive Technologies. Domains of interest include e-commerce and targeted marketing, health informatics with special emphasis on the classification of medical imaging and Natural language processing.

Research interests

Artificial Intelligence
Human Computer Interaction
Immersive Technologies

Qualifications

PhD Informatics (Malaysia University of Science and Technology, Malaysia.)
MS IT Management (University of Sunderland, UK.)

Recent publications

Sattar, M. U., Ufeli, C. P., Hasan, R., & Mahmood, S. (2025). Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms. Information, 16(6), 441. https://doi.org/10.3390/INFO16060441
Usman Sattar, M., Wazir Khan, H., Ghaffar, A., Murad, H., & Raza, S. (2025). Exploring the Impact of Augmented Reality on Medical Students’ Intrinsic Motivation: A Three-Dimensional Analysis. Journal of Management & Social Science, 2(2), 257–276. https://doi.org/10.63075/DT4F4H66
Abdi, H., Sattar, M. U., Hasan, R., Dattana, V., & Mahmood, S. (2025). Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability. Information 2025, Vol. 16, Page 345, 16(5), 345. https://doi.org/10.3390/INFO16050345
Gamawelagedara, M. P. B., Sattar, M. U., & Hasan, R. (2025). Mitigating fuel station drive-offs using AI: YOLOv8 OCR and MOT History API for detecting fake and altered plates. Computers, Materials and Continua, 0(0), 1–10. https://doi.org/10.32604/CMC.2025.062826
Sattar, M. U., Khan, H. W., Khan, H. W., Hassan, R., Hassan, R., & Hassan, A. (2024). A Human-Centered Design Framework for Intuitive Mobile AR in Medical Learning. UMT Education Review, 7(2), 94-122–194–122.
Qureshi, Z., Nadeem, T., & Sattar, M. U. (2023). Using Analytics to Explore the Link Between Confidence and Delay in Task Completion Among Undergraduate Students. Journal of Applied Research and Multidisciplinary Studies (JARMS), 4(2), 2023.
Ahmad, B., Sattar, M. U., Khan, H. W., Qureshi, Z., Hasan, R., Ahmad, A., & Azad, M. (2021). Intelligent Digital Twin to make Robot Learn the Assembly process through Deep Learning.
Almadhor, A., Sattar, U., Al Hejaili, A., Ghulam Mohammad, U., Tariq, U., & Ben Chikha, H. (2022). An efficient computer vision-based approach for acute lymphoblastic leukemia prediction. Frontiers in Computational Neuroscience.
Apsari, N. F., Megantoro, P., Sattar, M. U., Maseleno, A., & Tanane, O. (2020). Design of laboratory scale fluid level measurement device based on arduino. Journal of Robotics and Control (JRC), 1(5), 145–149.
Ghafar, A., & Sattar, U. (2021). Convolutional Autoencoder for Image Denoising. UMT Artificial Intelligence Review, 1(2), 1–11. https://doi.org/10.32350/AIR.0102.01
Ghaffar, A., Alanazi, S., Alruwaili, M., Sattar, M. U., Ali, W., Humayun, M., Siddiqui, S. Y., Ahmad, F., & Khan, M. A. (2021). Multi-stage intelligent smart lockdown using sir model to control covid 19. Intelligent Automation and Soft Computing, 28(2), 429–445. https://doi.org/10.32604/iasc.2021.014685
Ghaffar, A., Sattar, M. U., Munir, M., & Qureshi, Z. (2022). Multi-objective fuzzy-based adaptive memetic algorithm with hyper-heuristics to solve university course timetabling problem. EAI Endorsed Transactions on Scalable Information Systems, 9(4), 1–16. https://doi.org/10.4108/eai.16-12-2021.172435
Ghani, F., Sattar, U., Narmeen, M., Wazir Khan, H., & Mehmood, A. (2021). A Methodology for Glaucoma Disease Detection Using Deep Learning Techniques. International Journal Of Computing and Digital System, 1(1), 1–11. https://journal.uob.edu.bh/handle/123456789/4416
Hasan, R., Palaniappan, S., Mahmood, S., Abbas, A., Sarker, K. U., & Sattar, M. U. (2020). Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques. Applied Sciences, 10(11), 3894. https://doi.org/10.3390/app10113894
Hasan, R., Palaniappan, S., Mahmood, S., Naidu, V. R., Agarwal, A., Singh, B., Sarker, K. U., Abbas, A., & Sattar, M. U. (2020). A Review: Emerging Trends of Big Data in Higher Educational Institutions. In Lecture Notes in Networks and Systems (Vol. 106). Springer Singapore. https://doi.org/10.1007/978-981-15-2329-8_29
Hasan, R., Palaniappan, S., Mahmood, S., Sarker, K. U., Sattar, M. U., Abbas, A., Naidu, V. R., & Rajegowda, P. M. (2021). eDify: Enhancing Teaching and Learning Process by Using Video Streaming Server. International Journal of Interactive Mobile Technologies, 15(11), 49–65. https://doi.org/10.3991/ijim.v15i11.20245
Megantoro, P., Husnan, D. A., Sattar, M. U., Maseleno, A., & Tanane, O. (2020). Validation method for digital flow meter for fuel vendors. Journal of Robotics and Control (JRC), 1(2), 44–48. https://doi.org/10.18196/jrc.1210
Narmeen, M., Sattar, M. U., Khan, H. W., Fatima, M., Azad, M.-D., & Ghani, F. (2022). Impact of Weather on COVID-19 in Metropolitan Cities of Pakistan: A Data-Driven Approach. International Journal of Computing and Digital Systems, 11(1), 905–915. https://doi.org/10.12785/ijcds/110174
Nisar, H., Wajid, B., Shahid, S., Anwar, F., Wajid, I., Khatoon, A., Sattar, M. U., & Sadaf, S. (2021). Whole-genome sequencing as a first-tier diagnostic framework for rare genetic diseases. Experimental Biology and Medicine, 246(24), 2610–2617. https://doi.org/10.1177/15353702211040046
Rizwan, M., & Sattar, M. U. (2019). 5G Radio Access Networks Based on Fog Computing : an Overview. Journal of Natural and Applied Sciences Pakistan, 1(May), 46–51.
Sattar, M., Palaniappan, S., Lokman, A., Shah, N., Riaz, Z., & Khalid, U. (2019). User experience design in virtual reality medical training application. Journal of the Pakistan Medical Association, 71(7), 1. https://doi.org/10.5455/JPMA.22992
Sattar, M. U., Imran, M., Khan, H. W., Ghaffar, A., & Mushtaq, H. (2022). Selecting a Better Classifier Using Machine Learning for COVID-19. International Journal of Computing and Digital Systems, 11(1), 955–962. https://doi.org/10.12785/ijcds/110178
Sattar, M. U., Mubashar, A., Fareed, R., & Rizwan, M. (2021). Architectures, Security Issues, and Usage Scenarios of EC. UMT Artificial Intelligence Review, 1(1), 1–1. https://doi.org/10.32350/umtair.11.04
Sattar, M. U., Palaniappan, S., Lokman, A., Hassan, A., Shah, N., & Riaz, Z. (2019). Effects of Virtual Reality training on medical students’ learning motivation and competency. Pakistan Journal of Medical Sciences, 35(3). https://doi.org/10.12669/pjms.35.3.44
Sattar, M. U., Palaniappan, S., Lokman, A., Shah, N., Khalid, U., & Hasan, R. (2020). Motivating Medical Students Using Virtual Reality Based Education. International Journal of Emerging Technologies in Learning (IJET), 15(02), 160. https://doi.org/10.3991/ijet.v15i02.11394
Sattar, M. U., & Sattar, B. (2012). Analyzing the Impact of Customer Satisfaction on Customer Loyalty: A Data-Driven Study in Pakistan’s Telecommunication Sector. Asian Journal of Business and Management, 4(3), 252–259.
Wijaya, N. H., Agtesa, A., De Brito Silva, G., Dhinakaran, V., & Usman, M. (2020). Simulation of vitiligo therapy equipment. Journal of Robotics and Control (JRC), 1(4), 124–128. https://doi.org/10.18196/jrc.1426
Wijaya, N. H., Ibrahim, M., Shahu, N., & Sattar, M. U. (2021). Arduino-based digital advanced audiometer. Journal of Robotics and Control (JRC), 2(2), 83–87. https://doi.org/10.18196/jrc.2257
Wijaya, N. H., Novela, D. F., Shahu, N., & Sattar, M. U. (2020). Arduino-based mini shaker for automatic chemical solution mixer. Journal of Robotics and Control (JRC), 1(6), 220–223. https://doi.org/10.18196/jrc.1641
Zahid, Z., Sattar, M. U., Khan, H. W., Zahid, A., & Riaz, M. F. (2021). A Smart Analysis and Visualization of The Power Forecasting in Pakistan. International Journal of Computing and Digital Systems, 10(1), 761–771. https://doi.org/10.12785/ijcds/100170