Research Summary
Dr. Maqbool Khan is an Associate Professor, data scientist, solution architect, and researcher whose work sits at the intersection of big data, cloud computing, human-AI teaming, and predictive maintenance. He conducts applied research on AI-driven systems for real-world industrial contexts, especially in smart manufacturing and predictive maintenance in SMEs. His recent postdoctoral research focused on human–AI collaboration, knowledge graph architectures, and relational machine learning in manufacturing environments. In parallel, he has supervised multiple MS students on topics like anomaly detection, generative modeling, and AI systems. His methodological approach combines knowledge graphs, deep learning, and data-driven system design to build robust and fair AI-augmented systems.
Key Publications
“A Reference Software Architecture for Human-AI Teaming in Smart Manufacturing” — Haindl, G., Buchgeher, G., Khan, M., Moser, B., ICSE-NIER 2022. Proceedings of the International Conference on Software Engineering. https://doi.org/10.1109/ICSE-NIER55298.2022.9793509
“A Systematic Mapping Study of Predictive Maintenance in SMEs” — Khan, M., Ahmed, A., Moser, B., Pichler, M., IEEE Access, 2022. https://doi.org/10.1109/ACCESS.2022.3200694
“SocioRank*: Communities and Social Roles Detection Method in Social Networks” — Rafique, W., Khan, M., Sarwar, N., Computers & Electrical Engineering, (2019). https://doi.org/10.1016/j.compeleceng.2019.03.010
“SecureMed: A Blockchain-Based Privacy-Preserving Framework for Internet of Medical Things” — Rafique, W., Khan, M., Sarwar, N., Dou, W., Wireless Communications and Mobile Computing, 2023. https://doi.org/10.1155/2023/2558469
“Recognition of Inscribed Cursive Pashto Numerals Through Optimized Deep Learning” — Syed, S., Khan, K., Khan, M., PeerJ Computer Science, 2024. https://doi.org/10.7717/peerj-cs.2124
“Sentiment Analysis of Low-Resource Language Literature Using Deep Learning” Ali, A., Khan, M., Khan, K., Aloraini, A., Computers, Materials & Continua (CMC), 2024. https://doi.org/10.32604/cmc.2024.048712
“Energy-Saving Service Offloading for the Internet of Medical Things Using Deep Reinforcement Learning” — Jiang, J., Guo, M., Khan, M., Cui, Y., Lin, W., ACM Transactions on Sensor Networks, 2022. https://doi.org/10.1145/3560265
“UAV-Assisted Content Caching for Human-Centric Consumer Applications in IoV” — Wang, W., Xu, X., Bilal, M., Khan, M., Xing, Y., IEEE Transactions on Consumer Electronics, 2024. https://doi.org/10.1109/TCE.2023.3349079
“Hybrid Malware Identification Framework for IoMT via Deep Learning” Ehtesham, S., Tahir, S., Nawaz, A., Humayun, M., Shaheen, M., Khan, M., Security and Privacy (Wiley), 2024. https://doi.org/10.1002/spy2.454
LINKS
Awards
- Won Pakistan Science Foundation Research Grant for project titled “AI-based skilled people marketplace for finding nearby experts and tasks to facilitate citizens (2023–2025)
- PAF-IAST Post-Doctoral Research Fellowship Grant at Software Competence Center Hagenberg (SCCH), Austria (2021–2023)
- Full Scholarship for PhD (Nanjing University, China) via CSC, China (2013–2018)
- Full Scholarship for MS (HuaZhong University of Science & Technology, China) via Ministry of Education Pakistan (50 winners out of 5000 Students) for CSC China (2011–2013).
Editorial Roles & Reviewing Activities
- ICCK Transactions on Information Security and Cryptography
- ICCK Journal of Image Analysis and Processing