Dr Aslam Jarwar B.C.S (Hons), MS, Ph.D., Senior Member IEEE
Senior Lecturer in Smart Computing
- Communication and Computing Research Centre
- Advanced Wellbeing Research Centre
- Industry and Innovation Research Institute
Summary
Dr. Aslam Jarwar is a Senior Lecturer in Smart Computing at Sheffield Hallam University, UK. Dr. Aslam is a consultant in the Digital Innovation for Growth (DIfG) program to promote digital transformation in Sheffield and South Yorkshire. Dr. Aslam serves as the Editorial Board Member of IASC - Intelligent Automation & Soft Computing Journal and Managing guest editor for an Elsevier Journal on Sustainable Energy Technologies and Assessments. The research interests of Dr. Aslam include digital sensing & wellbeing, IoT-enabled healthcare systems, Social IoT & Trustworthy IoT, Industrial IoT & Digital Dr. Aslam Jarwar is a Senior Lecturer in Smart Computing at Sheffield Hallam University, UK. Dr. Aslam is a consultant in the Digital Innovation for Growth (DIfG) program to promote digital transformation in Sheffield and South Yorkshire. Dr. Aslam serves as the Editorial Board Member of IASC - Intelligent Automation & Soft Computing Journal and Managing guest editor for an Elsevier Journal on Sustainable Energy Technologies and Assessments. The research interests of Dr. Aslam include digital sensing & wellbeing, IoT-enabled healthcare systems, Social IoT & Trustworthy IoT, Industrial IoT & Digital Twins, Ambient Adoption and Ubiquitous Computing, and IoT security modelling with ontologies and machine learning.
Teaching
Courses
B.Sc. (Hons) Smart Computing
M.Sc. Computing
Modules
Integrated IoT Systems
System Design and Development Projects
Computer Programming
Research skills for computing
Research
- Communication and Computing Research Centre , Advanced Wellbeing Research Centre
- 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.
For the featured projects, please visit
Publications
Journal articles
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
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
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