Aslam Jarwar

Dr Muhammed Aslam Jarwar Senior Member IEEE, FHEA, B.C.S (Hons), MS, Ph.D.

Senior Lecturer


Summary

Dr. Aslam Jarwar holds the position of Senior Lecturer in Smart Computing at Sheffield Hallam University in the United Kingdom. In addition to his academic role, Dr. Aslam also serves as a consultant in the Digital Innovation for Growth (DIfG) program, which aims to drive digital transformation in Sheffield and South Yorkshire. Furthermore, he is a member of the Editorial Board for the IASC - Intelligent Automation & Soft Computing Journal and acts as the Managing Guest Editor for an Elsevier Journal focused on Sustainable Energy Technologies and Assessments. Dr. Aslam's research interests include a wide range of topics, including digital sensing and wellbeing, IoT-enabled healthcare systems, Social IoT and Trustworthy IoT Systems, Industrial IoT and Digital Twins, Context-aware IoT services and applied AI.

Teaching

Department of Computing

College of Business, Technology and Engineering

Smart Computing

Courses taught:
B.Sc. (Hons)  Smart Computing
M.Sc. Computing

Modules taught:

Integrated IoT Systems

System Design and Development Projects

Computer Programming

Research skills for computing

Research

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

https://aslamjarwar.github.io/

Publications

Journal articles

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, M.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., 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, 1-20. http://doi.org/10.1155/2018/6309509

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

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.). A Microservices Model to Enhance the Availability of Data for Building Energy Efficiency Management Services. Energies, 12 (3), 360. http://doi.org/10.3390/en12030360

Conference papers

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). 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). 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). 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). 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). 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

Smart, P., Boniface, M., Jarwar, M.A., & Watson, J. (2023). SOfIoTS: Ontological Framework, Demonstration Outcomes, and Recommendations for Further Work (D3/D4).

Smart, P., Boniface, M., Jarwar, M.A., & Watson, J. (2023). SOfIoTS: Ontological Framework, Demonstration Outcomes, and Recommendations for Further Work (D3/D4).

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

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

Internet of Things (IoT)

IoT enabled healthcare systems

Social IoT

Trustworthy IoT Systems

Industrial IoT & Digital Twins

Ambient Adoption and Ubiquitous Computing

IoT security modelling using Ontologies.

Artificial Intelligence

For more detail about my research interest, please visit the following pages

https://aslamjarwar.github.io/
https://scholar.google.co.kr/citations?user=nQTE0W8AAAAJ&hl=en

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