Doctor Muhammad Aslam Jarwar Senior Member IEEE, FHEA, B.C.S (Hons), MS, Ph.D.
Senior Lecturer
Summary
Dr. Aslam Jarwar is a Senior Lecturer in Smart Computing at Sheffield Hallam University in the UK, where he integrates research, innovation, and teaching to advance the field of intelligent technologies. Beyond academia, he plays an active role in regional development as a consultant for the Digital Innovation for Growth (DIfG) and South Yorkshire Innovation Programme (SYIP), helping businesses across Sheffield and South Yorkshire embrace digital transformation. He also contributes to the global research community as a member of the Editorial Board for the Intelligent Automation & Soft Computing (IASC) Journal. His research lies at the intersection of Internet of Things (IoT), artificial intelligence with a focus on digital sensing, IoT-enabled healthcare, trustworthy IoT systems, Industrial IoT and Digital Twins, and context-aware intelligent services.
About
Dr. Jarwar is a Senior Lecturer at the School of Computing & Digital Technologies, Sheffield Hallam University (SHU), Sheffield, United Kingdom. Dr. Jarwar is also consultant for the South Yorkshire Innovation Program and Digital Innovation for Growth (DIfG) to assist digital transformation efforts around the entire South Yorkshire district and city of Sheffield. Dr Jarwar is also a former co-investigator of the EPSRC PETRAS project, "Secure Ontologies for Industrial IoT Systems." Dr Jarwar, prior to joining at SHU, also worked as a Research Fellow at the highly regarded University College London (UCL) and as a Research Associate at the University of Manchester, on a The Alan Turing Institute funded project.
Dr. Jarwar’s expertise is in the Internet of Things (IoT) and Artificial Intelligence (AI), with a particular focus on enabling interoperable communication and automation among heterogeneous smart devices within smart city and Industry 4.0 contexts. Dr. Jarwar is a passionate advocate for leveraging open IoT and AI technologies to develop smart cities as tools to mitigate the adverse effects of climate impact. Committed to innovation and sustainability, Dr. Jarwar promotes the use of IoT to create interconnected systems that not only enhance quality of life but also reduce environmental effects. Dr. Jarwar has published several peer-reviewed research articles and technical reports on IoT and AI, including work published by the ITU-T. Dr. Jarwar also contributes to the global research community as a member of the Editorial Board for the Intelligent Automation & Soft Computing (IASC) Journal.
In addition to his research contributions, Dr. Jarwar has an extensive teaching portfolio. Dr. Jarwar has designed, developed, and delivered a range of undergraduate and postgraduate modules, including Introduction to Artificial Intelligence (Undergraduate/Postgraduate), Integrated IoT Systems (Undergraduate), System Design and Development Project (Postgraduate), Computer Programming (Postgraduate), Introduction to cloud computing projects (Postgraduate), and Advanced Software Design and Development Project (Postgraduate). Dr. Jarwar is currently supervising two PhD students and several master’s students. Dr. Jarwar also serves as an external examiner for the M.Sc. programme at Northumbria University, London, England.
Dr. Jarwar’s research lies at the intersection of the Internet of Things (IoT), artificial intelligence, with a focus on digital sensing, IoT-enabled healthcare, trustworthy IoT systems, Industrial IoT and Digital Twins, and context-aware intelligent services.
Teaching
School of Computing and Digital Technologies
College of Business, Technology and Engineering
Smart Computing
B.Sc. (Hons) Smart Computing
M.Sc. Computing
MSc Computing with Cloud Technologies
MSc Computing with Artificail Intelligence
Integrated IoT Systems
Introduction to Artificial Intelligence
System Design and Development Project
Computer Programming
Introduction to cloud computing projects
Advanced Software Design and Development Project
Research
- Industry and Innovation Research Institute
Secure Ontologies for IoT Systems (SOfIoTS)
The SOfIoTS project is in partnership with National Physical Laboratory (NPL), Cube Controls, RITICS, 4D-SIG and PETRAS SRF1. The SOfIoTS project aims to understand and develop cybersecurity attributes for existing Industrial Internet of Things (IIoT) network ontologies to include machine learning at the Edge. The project’s outcomes will result in publications on which further academic endeavors can be built, whilst contributing to the understanding and methodologies of data security and assurance in Building Management Systems (BMS) in sensitive public buildings.
https://petras-iot.org/project/secure-ontologies-for-iot-systems-sofiots/
For the featured projects, please visit
Publications
Journal articles
Jarwar, M.A., FREng, J.W.C.B.E., & Ali, S. (2025). Modelling Industrial IoT Security Using Ontologies: A Systematic Review. IEEE Open Journal of the Communications Society. http://doi.org/10.1109/ojcoms.2025.3532224
Mujtaba, G., Khowaja, S.A., Jarwar, A., Choi, J., & Ryu, E.-.S. (2023). FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices. IEEE Transactions on Big Data. http://doi.org/10.1109/TBDATA.2023.3338012
Khowaja,, S.A., Dahri, K., Jarwar, M.A., & Lee, I.H. (2023). Spike learning based privacy preservation of Internet of Medical Things in Metaverse. Journal of Biomedical and Health Informatics (JBHI). http://doi.org/10.1109/JBHI.2023.3306704
Guoa, W., Qureshi, N.M.F., Jarwar, M.A., Kim, J., & Shin, D.R. (2023). AI-Oriented Smart Power System Transient Stability: The Rationality, Applications, Challenges and Future Opportunities. Sustainable Energy Technologies and Assessments, 56. http://doi.org/10.1016/j.seta.2022.102990
Phani Praveen, S., Ali, M.H., Jarwar, M.A., Prakash, C., Reddy, C.R.K., Malliga, L., & Chandru Vignesh, C. (2023). 6G assisted federated learning for continuous monitoring in wireless sensor network using game theory. Wireless Networks. http://doi.org/10.1007/s11276-023-03249-0
Jarwar, A., Khowaja, S.A., Dev, K., Adhikari, M., & Hakak, S. (2023). NEAT: A Resilient Deep Representational Learning for Fault Detection Using Acoustic Signals in IIoT Environment. IEEE Internet of Things Journal, 10 (4), 2864-2871. http://doi.org/10.1109/jiot.2021.3109668
Gokulakrishnan, S., Jarwar, M.A., Ali, M.H., Kamruzzaman, M.M., Meenakshisundaram, I., Jaber, M.M., & Kumar, R.L. (2023). Maliciously roaming person's detection around hospital surface using intelligent cloud-edge based federated learning. Journal of Combinatorial Optimization, 45 (1). http://doi.org/10.1007/s10878-022-00939-x
Vivekananda, G.N., Jarwar, M.A., Jaber, M.M., Prakash, C., Buddhi, D., Gnanasigamani, L.J., & Sanz-Prieto, I. (2022). Effective two-tier tokenization for intelligent transportation supply chain systems using hybrid optimized query expansion. Multimedia Tools and Applications. http://doi.org/10.1007/s11042-022-14317-6
Khowaja, S.A., Khuwaja, P., Dev, K., & Jarwar, M.A. (2022). PROMPT: PROcess Mining and Paravector Tensor based Physical Health Monitoring Framework. IEEE Sensors Journal, 1. http://doi.org/10.1109/jsen.2022.3195613
Khowaja, S.A., Lee, I.H., Dev, K., Jarwar, M.A., & Qureshi, N.M.F. (2022). Get Your Foes Fooled: Proximal Gradient Split Learning for Defense Against Model Inversion Attacks on IoMT Data. IEEE Transactions on Network Science and Engineering. http://doi.org/10.1109/TNSE.2022.3188575
Ali, S., Jarwar, M.A., & Chong, I. (2018). Design Methodology of Microservices to Support Predictive Analytics for IoT Applications. Sensors (Basel, Switzerland), 18 (12), E4226. http://doi.org/10.3390/s18124226
Jarwar, M.A., Kibria, M.G., Ali, S., & Chong, I. (2018). Microservices in Web Objects Enabled IoT Environment for Enhancing Reusability. Sensors (Basel, Switzerland), 18 (2), E352. http://doi.org/10.3390/s18020352
Ali, S., Kibria, M.G., Jarwar, M.A., Lee, H.K., & Chong, I. (2018). A Model of Socially Connected Web Objects for IoT Applications. Wireless Communications and Mobile Computing, 2018 (1). http://doi.org/10.1155/2018/6309509
Kibria, M.G., Ali, S., Jarwar, M.A., Kumar, S., & Chong, I. (2017). Logistic Model to Support Service Modularity for the Promotion of Reusability in a Web Objects-Enabled IoT Environment. Sensors (Basel, Switzerland), 17 (10), E2180. http://doi.org/10.3390/s17102180
Jarwar, M.A., Abbasi, R.A., Mushtaq, M., Maqbool, O., Aljohani, N.R., Daud, A., ... Chong, I. (2017). CommuniMents. International Journal on Semantic Web and Information Systems, 13 (2), 87-108. http://doi.org/10.4018/ijswis.2017040106
Jarwar, M.A., & Chong, I. (n.d.). Web Objects Based Contextual Data Quality Assessment Model for Semantic Data Application. Applied Sciences, 10 (6), 2181. http://doi.org/10.3390/app10062181
Jarwar, M.A., Ali, S., & Chong, I. (n.d.). Microservices Model to Enhance the Availability of Data for Buildings Energy Efficiency Management Services. Energies, 12 (3), 360. http://doi.org/10.3390/en12030360
Karmaakar, P., Jarwar, M.A., Abdul Wahid, J., Ul Hasan, N., & Jarwar, M.A. (n.d.). IDBspRS: An Interior Design-Built Service Package Recommendation System using Machine Learning. KSII Transactions on Internet and Information Systems.
Conference papers
Jarwar, M.A. (2025). IoT-Based Digital Twin for Freshwater Pollution Monitoring: A Use Case of River Derwent. In Pimrc 2025, Istanbul, Turkey, 1 September 2025 - 4 September 2025.
Jarwar, A., Ul Hasan, N., Boisvert, C., Wheway, P., Faulks, M., & Jarwar, M.A. (2025). IoT-Based Digital Twin for Freshwater Pollution Monitoring: A Use Case of River Derwent. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Istanbul, Turkey, 1 September 2025 - 4 September 2025. https://ieeexplore.ieee.org/xpl/conhome/1000550/all-proceedings
Ishmilh, O., Jarwar, A., & Javed, Y. (2024). A Novel IoT Middleware for Secure Pharmaceuticals Condition Monitoring in Supply Chain. In The 15th International Conference on Ubiquitous and Future Networks (ICUFN 2024), Budapest University of Technology and Economics (BME), Budapest, Hungary, 2 July 2024 - 5 July 2024. IEEE: http://doi.org/10.1109/ICUFN61752.2024.10625066
Jarwar, M.A., Ali, S., Inayatullah, , & Shah, S.C. (2024). Taking IoT security to the next level: Hyperledger fabric private blockchain enabled IoT middleware. In IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023 - 2023. IEEE: http://doi.org/10.1109/GCWkshps58843.2023.10464627
Kumar, S., Jeong, S., Ahn, I.-.Y., & Jarwar, M.A. (2022). Things Data Interoperability Through Annotating oneM2M resources for NGSI-LD Entities. In 15th IEEE International Conference on Internet of Things ( iThings-2022), Espoo, Finland, 22 August 2022 - 25 August 2022 (pp. 119-124). Los Alamitos, California: IEEE Computer Society Conference Publishing Services: http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00056
Jarwar, M.A., Watson, J., Ani, U.D., & Chalmers, S. (2022). Industrial Internet of Things security modelling using ontological methods. In Niforatos, E., Kortuem, G., Meratnia, N., Siegel, J., & Michahelles, F. (Eds.) 12th International Conference of the Internet of Things, Delft, The Netherlands, 7 November 2022 - 10 November 2022 (pp. 163-170). Association for Computing Machinery: http://doi.org/10.1145/3567445.3571103
Jarwar, M.A., Adriane, C., Mark, E., & Fatemeh, R. (2021). Modelling data environments within PROV to assist anonymisation decision-making. In 2021 UNECE/Eurostat Expert Meeting on Statistical Data Confidentiality, Poznań, Poland, 2021 - 2021. https://unece.org/sites/default/files/2021-12/SDC2021_Day3_Elliot_AD.pdf
Jarwar, M.A., Chapman, A., Elliot, M., & Raji, F. (2021). Provenance, Anonymisation and Data Environments: a Unifying Construction.
Ali, S., Jarwar, M.A., & Chong, I. (2019). Microservices based Framework to Support Interoperable IoT Applications for Enhanced Data Analytics.
Jarwar, M.A., Ali, S., & Chong, I. (2019). Microservices based Linked Data Quality Model for Buildings Energy Management Services. Proceedings of Symposium of the Korean Institute of communications and Information Sciences , 2019.1, 640- 643.
Jarwar, M.A., Ali, S., & Chong, I. (2018). Exploring Web Objects enabled Data-Driven Microservices for E-Health Service Provision in IoT Environment. 2018 International Conference on Information and Communication Technology Convergence (ICTC). http://doi.org/10.1109/ictc.2018.8539684
Jarwar, M.A., & Ilyoung Chong, (2017). Exploiting IoT services by integrating emotion recognition in Web of Objects. 2017 International Conference on Information Networking (ICOIN), 54-56. http://doi.org/10.1109/icoin.2017.7899474
Kibria, M.G., Ali, S., Jarwar, M.A., & Chong, I. (2017). A framework to support data interoperability in web objects based IoT environments. 2017 International Conference on Information and Communication Technology Convergence (ICTC), 29-31. http://doi.org/10.1109/ictc.2017.8190935
Ali, S., Kibria, M.G., Jarwar, M.A., Kumar, S., & Chong, I. (2017). Microservices model in WoO based IoT platform for depressive disorder assistance. 2017 International Conference on Information and Communication Technology Convergence (ICTC). http://doi.org/10.1109/ictc.2017.8190800
Jarwar, M.A., Ali, S., Kibria, M.G., Kumar, S., & Chong, I. (2017). Exploiting interoperable microservices in web objects enabled Internet of Things. 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), 49-54. http://doi.org/10.1109/icufn.2017.7993746
Kibria, M.G., Jarwar, M.A., Ali, S., Kumar, S., & Chong, I. (2017). Web objects based energy efficiency for smart home IoT service provisioning. 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), 55-60. http://doi.org/10.1109/icufn.2017.7993747
Kumar, S., Kibria, M.G., Ali, S., Jarwar, M.A., & Chong, I. (2017). Smart spaces recommending service provisioning in WoO platform. 2017 International Conference on Information and Communications (ICIC), 311-313. http://doi.org/10.1109/infoc.2017.8001686
Book chapters
Jarwar, M.A., Abbasi, R.A., Mushtaq, M., Maqbool, O., Aljohani, N.R., Daud, A., ... Chong, I. (2021). CommuniMents. In Research Anthology on Strategies for Using Social Media as a Service and Tool in Business. (pp. 382-404). IGI Global: http://doi.org/10.4018/978-1-7998-9020-1.ch019
Reports
Jarwar, M.A. (2025). Morbidity Prediction Using Preoperative Cardiopulmonary Exercise Test Results. https://zenodo.org/records/15167430
Balaji, V., Bokeria, L., Caro, A.F., Guner, F., Jarwar, A., Kiran, M., ... Butterworth, J. (2025). Data Study Group Final Report: University College London Hospital. Morbidity Prediction Using Preoperative CardiopulmonaryExercise Test Results. 9 September 2024-13 September 2024. The Alan Turing Institute. http://doi.org/10.5281/zenodo.15167430
Smart, P., Boniface, M., Jarwar, M.A., & Watson, J. (2023). Secure ontologies for the Internet of Things: representing risk and security concepts using basic formal ontology. Unspecified. https://github.com/ps02v/SOfIoTS/blob/main/Documentation/SOfIoTS%20Ontology%20Documentation.pdf
Smart, P., Boniface, M., Jarwar, M.A., & Watson, J. (2023). SOfIoTS: Ontological Framework, Demonstration Outcomes, and Recommendations for Further Work (D3/D4). PETRAS. https://github.com/ps02v/SOfIoTS/blob/main/Documentation/SOfIoTS%20D4%20Reportv2.pdf
Smart, P., Boniface, M., Jarwar, M.A., & Watson, J. (2023). SOfIoTS: Ontological Framework, Demonstration Outcomes, and Recommendations for Further Work (D3/D4). PETRAS. https://github.com/ps02v/SOfIoTS/blob/main/Documentation/SOfIoTS%20D4%20Reportv2.pdf
D Ani, U., M Watson, W., Tuptuk, N., Hailes, S., & Jarwar, M.A. (2023). Socio-Technical Security Modelling: Analysis of State-of-the-Art, Application, and Maturity in Critical Industrial Infrastructure Environments/Domains. https://arxiv.org/pdf/2305.05108
Posters
Adebayo, I., Jarwar, M.A., & Popoola, J. (2023). SIoAT in Action : Transforming Autonomous Agricultural Field Monitoring for Seamless Insurance Claims with Social IoT. Presented at: 2023 I2RI Winter Poster Event, Sheffield
Postgraduate supervision
1. Trustworthy IoT systems for healthcare and critical national infrastructure
2. Social IoT: Agricultural Field Monitoring for Seamless Insurance Claims with Social IoT
3. Securing IoT systems using Blockchain
4. Anomaly detection in IoT systems using AI/ML/DL
5. Monitoring Industrial IoT systems using Digital Twin
6. IoT data representation and knowledge creation using semantic web technologies.
Furthermore, to learn more about my research interests, please visit my webpage: https://aslamjarwar.github.io/