Biography
Dr. Aslam is a Senior Lecturer in the Department of Computing at Sheffield Hallam University (SHU). Alongside his teaching and research, he works as a consultant for the South Yorkshire Innovation programme (SYIP), where he supports organisations across Sheffield and South Yorkshire in adopting and benefiting from digital technologies. He has also contributed as a co‑investigator to a PETRAS-funded project that explored how to build secure ontologies for Industrial Internet of Things (IoT) systems.
Before joining SHU, Dr. Aslam developed his research expertise through roles at University College London (UCL) as a Research Fellow and at the University of Manchester as a Research Associate. During this period, he took part in an Alan Turing Institute–funded project that examined how to create secure data environments, with a particular focus on the challenges that arise when data is transferred between different technical or organisational settings.
His main research interest centres on AIoT middleware, especially how to enable smooth communication and data sharing among a wide range of smart devices. Much of his work relates to Smart City and healthcare applications. He is passionate about the potential of open IoT technologies to support sustainable urban development, and he believes smart cities can play an important part in responding to climate change. This commitment drives his efforts to encourage the use of IoT‑based solutions in urban planning as a way to build communities that are greener, healthier, more connected, and more resilient.
Dr. Aslam has published extensively, including peer‑reviewed papers and technical recommendations on IoT data quality produced for the ITU‑T. He serves as Lead Guest Editor for the Elsevier journal Sustainable Energy Technologies and Assessments and sits on the editorial board of Intelligent Automation & Soft Computing (IASC). His wider research interests cover digital sensing, digital twins, IoT‑enabled monitoring systems, trustworthy IoT services, smart cities, and Artificial Intelligence.
Interests
- Internet of Things
- Cyber Physical Systems
- Digital Twin
- Cyber Security
- Semantic Web
- Artificial Intelligence
Education
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PhD in Information and Communications Engineering, 2020
Hankuk University of Foreign Studies, South Korea
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MS in Information Science and Technology, 2016
Quaid-i-Azam University
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BCS(Hons) in Computer Science, 2004
University of Sindh Jamshoro
Experience
Senior Lecturer
Editorial Board Member
Guest Editor
Research Fellow - Industrial/Cyber-Physical System Security Modelling
Responsibilities:
- Investigate the emerging security threats and potential impacts of cyber-attacks on industrial and building management systems (IBMS).
- Investigating the application of ontological methods to securely combining and fusing information from IoT sensors with data frameworks associated with Building Information Modelling (BIM) and Geographical Information Systems (GIS).
- Liaise with industry partners to design, develop, and test an adaptive and secure ontological model for representing IoT-enabled socio-technical infrastructure system.
- Contribute to the drafting and submission of quality publications to appropriate and reputed peer-review national and international conferences and journals.
Managing Guest Editor
Research Associate
Responsibilities:
- Investigate provenance models
- Reasoning over provenance data
- Data privacy and risk analysis
Responsibilities:
- Project planning
- IoT middleware development
- Knowledge representation and analysis
- Ontology modelling
- Publishing research at appropriate venues
Assistant Director Software Development
Responsibilities:
- Webservices development using open source technologies
- Data driven e-government strategic application development
- Big data analysis and management
News
Activities and Updates
- [2024.06.08] Happy to share that Our Paper "A Novel IoT Middleware for Secure Pharmaceuticals Condition Monitoring in Supply Chain" has been accepted in the 15th International Conference on Ubiquitous and Future Networks, which will be held in Budapest, Hungary in July 2-5, 2024. For more detail please visit conference page.
- [2024.03.26] We are currently seeking full-time Ph.D. student who is passionate about multidisciplinary research and eager to accept the challenge of developing cutting-edge intelligent IoT services to monitor the stress and wellbeing of elite sport leaders.For more information, please visit the link
- [2024.03.26] We are also recruiting an other studnet for our project "ADEPT: AI-Based Driving Evaluation and Performance Testing", For more information, please visit the link
- [2024.02.05] Good News, I will be chairing a special session on "Security of User Identification and Data for Generative AI in the Gaming Industry" at the IEEE GEM 2024 conference in Turin, Italy. You are cordially invited to submit your paper. Deadline is March 22, 2024. link
- [2023.12.13] My two postgradute students: Gibson and Iskled have presented their poster paper I2Ri Winter Poster Event, organised by Industry and Innovation Research Institute, Sheffield Hallam University, UK.
- [2023.09.21] Good news: "On behalf of the Technical Program Committee, we are pleased to inform you that your paper #1570940054 entitled "Taking IoT Security to the Next Level: Hyperledger Fabric Private Blockchain enabled IoT Middleware" has been accepted for presentation in the 2023 IEEE Globecom Workshops (GC Wkshps): 3rd Workshop on Sustainable and Resilient Industrial Networks program, and for publication in the IEEE GLOBECOM 2023
- [2022.11.07] I am pleased to share that I presented my paper at the 12th Conference of IoT at TU Delft, The Netherlands, #IoTDelft. For more detail please visit conference page.
- [2022.10.04] Happy to share that I have been appointed as an Editorial Board Member of IASC - Intelligent Automation & Soft Computing Journal which is indexed and abstracted in all major databases, including SCI, Scopus, EI Compendex, etc. (2021 SCI Impact Factor 3.401). For more detail please visit IASC page.
- [2022.10.04] Happy to share that Our Paper "Industrial Internet of Things Security Modelling using Ontological Methods" has been accepted in the 12th International Conference on the Internet of Things, which will be held in Delft - The Netherlands in November 2022. For more detail please visit conference page.
- [2022.09.14] I am pleased to share that I have exhibited my @PETRASio - #SOfIoTS research theme at the innovation conference on green future #HallamGreenFuture. I shared the research on #IoT devices & #DigitalTwins security modeling for CNIs & net-zero use cases. Thanks to @HallamResearch for organizing the fantastic event. Event Links Link1 Link2
- [2022.08.01] I am pleased to share that our paper titled "PROMPT: PROcess Mining and Paravector Tensor based Physical Health Monitoring Framework" has been accepted and published in IEEE Sensor Journal (Impact Factor 4.325).
- [2022.07.14] I am happy to share that our paper titled "Get your foes fooled: Proximal Gradient Split Learning for Defense Against Model Inversion Attacks on IoMT data" has been accepted and published in IEEE Transactions on Network Science And Engineering (Impact Factor 5.033). There are many methods proposed for data security but recently it has been proven that AI models can be attacked to recover data, either from gradient maps or model parameters, i.e. model inversion attacks. Its one of the very early studies that proposes a learning network and technical method to cope with model inversion attacks.
- [2022.06.16~17] Presented our project results in PETRAS Academic Community Conference & Poster Exhibition, 16-17 June 2022, Location: Goodenough College London, UK.
- [2022.06.17] Our Paper "Things Data Interoperability Through Annotating oneM2M resources for NGSI-LD Entities" has been accepted at the IEEE iThings 2022 conference, which will be held in Espoo - Finland in August 2022.
- [2022.06.14] Attended F2F meeting after very longtime. Location: Cisco Systems UK, 9-11 New Square, Feltham TW14 8HA UK.
- [2022.03.06] Invited as TPC member for the 4th INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR INDUSTRY 4.0 (STI 2022) : link
- [2022.03.06] Joined as TPC for Workshop on Blockchain Technologies for Trustworthy Decentralized AI Ecosystems, Espoo, Finland: link
- [2022.05.25] Attended consultancy meeting on Cyber Physical Systems Infrastructure and Digital Twins. I presented my expert opinion and thoughts. This event was organized by the UKRI and Department for Business, Energy and Industrial Strategy. Location: 1 Sekforde Street EC1R 0BE London, UK.
- [2022.05.01] I am super excited to share that I am joining Sheffield Hallam University as a Senior Lecturer IoT. Anyone interested to start Ph.D. or Master studies with me can visit Link or directly contact me through email.
- [2022.05.01] I am pleased to share that I have been elevated to the grade of IEEE Senior member.
- [2022.03.06] Joined as TPC for Workshop on Blockchain Technologies for Trustworthy Decentralized AI Ecosystems, Espoo, Finland: link
- [2022.01.27] Attended 4D SIG Workshop: Covered topics include: 1. National Data Strategy and the Data Sharing Challenge , 2. ESWG introduce the main group to what we are interested in and seeking to achieve , 3. Digital Twin work at the Advanced Manufacturing Research Centre, AMRC Sheffield.
- [2022.01.06] I am invited by RMIT University, Australia, as an external examiner for the PhD (Electrical & Electronic Engineering) thesis.
- [2021.11.25] Attended PETRAS Securing the Future: Knowledge Exchange & Networking Event (Virtual) PETRAS, Event Link.
- [2021.12.16] I am pleased to share that my VSI proposal on “Role of Disruptive Technologies in Modern Distribution Grid Automation” in Sustainable Energy Technologies and Assessments Journal. The Impact Factor of this journal is 5.353. Please visit CFP link for more detail.
- [2021.11.25] Attended PETRAS Securing the Future: Knowledge Exchange & Networking Event (Virtual) PETRAS, Event Link.
- [2021.09.30] Attended C-DICE Secondment Matchmaking virtual Event C-DICE, Event Link.
- [2020.12.02] Attended The Brussels Privacy Symposium 2020 (Virtual): Research and the Protection of Personal Data Under the GDPR.
- [2020.10.07] Attended Protecting confidentiality and privacy in clinical trial and medical data sets, (Virtual) Organized by Royal Statistical Society.
- [2019.01.23 to 25] Presented our paper in The Korean Institutes of Communications and Information Sciences (KICS) Winter Conference 2019, Yong Pyong Resort Pyeongchang-gun, Gangwon-do Conference link.
- [2019.01.18] Presented our technical report in The 6th Focus Group on Data Processing and Management to support IoT and Smart Cities & Communities, Seoul, Korea (Rep.of) Conference link.
- [2018.01.17 to 19] Presented our paper in The 9th International Conference on Information and Communication Technology Convergence, Jeju Island, Korea, Conference link.
- [2018.08.20 to 21] Presented our paper in The Summer Workshop on Computer Communications (SWCC 2018); Hongcheon, Gangwon-do, Conference link.
- [2017.02.08] Attended HSN-2017 High Speed Network Work shop, Jeju Island, Korea Link.
- [2017.01.18 to 20] Presented our paper in The 8th International Conference on Information and Communication Technology Convergence, Jeju Island, Korea, Conference link.
- [2017.01.11 to 13] Presented our paper in The 31st International Conference on Information Networking (ICOIN) Dan Nang, Vietnam, Conference link.
- [2016.08.22 to 23] Presented our paper in The Summer Workshop on Computer Communications (SWCC 2016); Hongcheon, Gangwon-do, Workshop link.
- [2016.10.17 to 18] Attended 16 International Symposium on Perception, Action, and Cognitive Systems, Seoul, Korea Link.
Teaching
Activities and Updates
Academic year 2023¬2024
- Semester 1
- Integrated IoT Systems (as module leader)*
- Computer Programming
- Semester 2
- Professional Computer Projects*
- Introduction to Artificial Intelligence*
- Research skills for computing
- Semester 3
- System design and development project (as module leader)
- Research skills for computing
Academic year 2022¬2023
- Semester 2
- Research skills for computing
- System design and development project
- Computer Programming
- Semester 3
- Research skills for computing
- System design and development project (as module leader)
Ph.D.
- Abdussalam; Artificial Intelligence and IoT Cloud Computing Developments for Central Sleep Apnoea Monitoring; College of Business, Technology and Engineering, Sheffield Hallam University, UK; (May 2022 to - ) as a second supervisor
- Tahmina Tabassum; Internet of Things; College of Business, Technology and Engineering, Sheffield Hallam University, UK; (October 2021 to - ) as a second supervisor
- Junaid Abdul Wahid; Crisis related data analytics: New Models using Topic Modelling Variants and Supervised Learning Approaches; School of Information Engineering, Zhengzhou University, Zhengzhou, China; (2020 to - 2023) as a mentor
- Adebayo Iskled Adetayo, "Monitoring Agriculture Fields for Improving Yield using Social IoT" (2023).
- Osama Ishmilh, "Blockchain based Secure IoT Integrated System for Real-Time Monitoring and Traceability of Medicine Storage Conditions" (2023).
- Shruthi Sureshbabu, "Traffic Preclearance for Emergency Vehicles using Autonomous Agents" (2023).
- Arisa Maphakdee, "“Comparing the enterprise IoT system implementation in Industry 4.0 and Industry 5.0" (2023).
- Inayatullah, "Securing Sensor Data Using Private Blockchain Hyperledger Fabric Network" (2022).
- Muhammad Junaid Minhas, "Crimes Predictions using Machine Learning approaches for London Streets" (2022).
- Norman-williams, "Exploiting Data Analytics for Improving Customer Satisfaction" (2022).
- Titilope Ahemokhai, "Predicting Autism as an Emotional and Behavioral Disorder Using Machine Learning Techniques" (2022).
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services
Academic and Professional
Editorial Services:
- Editorial Board Member, Intelligent Automation & Soft Computing. Link
- Guest Editor, special issue on “AI-Driven Vehicle Platooning for Intelligent Transportation Systems” in SAE International Journal of Connected and Automated Vehicles. Link
- Guest Editor, special issue on “Role of Big Data Management, Machine Learning, and Deep Learning Techniques for Ubiquitous Computing” in Computer Systems Science and Engineering Journal. Link
- Managing Guest Editor, special issue on “Role of Disruptive Technologies in Modern Distribution Grid Automation” in Sustainable Energy Technologies and Assessments Journal. Link
- Member , Senior Member IEEE (94189930)
- Member, ACM (4513194)
- Member , Fellow of the Higher Education Academy (FHEA), UK
- Member, HUFS International Alumni Association
- Member, CS QAU Alumni Association
- Member, USAID Pakistan Alumni Association
- Member, The Korean Institute of Communications and Information (2016-2020)
- UoM Representative, National Postdoc, Steering Committee, United Kingdom (2020-2021)
- IEEE Transactions on Industrial Informatics
- IEEE Transactions on Network Science and Engineering IEEE Transactions on Computational Social Systems IEEE Sensors Journal IEEE Internet of Things Journal IEEE Access Springer, Neural Computing and Applications Elsevier, Computer Networks Elsevier, Future Generation Computer Systems Elsevier, Computer Standard and Interfaces Elsevier, Ad Hoc Networks Elsevier, Digital Communications and Networks Elsevier, Egyptian Informatics Journal Taylor, Intelligent Automation and Soft Computing Hindawi, Wireless Communications and Mobile Computing MDPI, Micromachines MDPI, Sensors MDPI, Applied Sciences MDPI, Electronics
Projects
Freshwater ecosystems, particularly rivers, are vital for all living things that depend on them. They provide essential drinking water, support diverse recreational activities, and underpin numerous local businesses dependent on clean water, such as fisheries. However, river pollution poses a significant threat to these benefits as well as ecosystem. This project addresses this pressing challenge through a collaborative effort with AquaSensor, a company specialized in water quality monitoring technology. Internally funded project (01 June 2024 - 31 July 2024)
Enhancing Trust in Voting Systems for Disabled Individuals - Technology Preferences, and the Perception of Security through Blockchain and Ethical AI
Internally funded project (15 May 2024 - 31 July 2024)
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 planned outcomes will result in publications on which further academic endeavor can be built, whilst contributing to the understanding and methodologies of data security and assurance in Building Management Systems (BMS) in sensitive public buildings.
In this project we are investigating that how the use of provenance formalisms will enable us to capture the necessary features of the complex dynamic data situations to allow more principled analysis of risk, the requirements of anonymisation and related topics such as Cyber Security, privacy and data utility.
The main innovative aspect of IoE data was to design and develop the infrastructure and middlewares for energy data sharing with linked data and ontologies. It includes data representation, data interoperability, data quality and analytics for energy management services among the multiple stakeholders. The deep learning models have been applied to analyze the human activities and energy usage patterns for the efficient management of energy.
The innovative aspect of this project were lies in considering emotion and sentiments as a context source for improving intelligent services in the IoT environment. In this project, our research focus was to develop an IoT data analytics and service provisioning platform that recognize the context and situation of user. The significance of this research was that the situation recognition and adaption based on the emotions leads to improving the service quality, users (such as elderly, teenager, etc) protection and privacy.
The aim of WoO-SAS (Web Objects based Smart Aging Services) project is to develop technologies and mechanisms to improve the life of a super-aging society. Some of the topics we are currently exploring include the development of self-Learning smart aging service objects, to design infrastructure for healthcare services to assist the elderly living, collecting and analyzing data from the wearable and non-wearable sensors in order to monitoring vital health conditions. The outcome of this project is the IoT data analytics and services platform which provides services to the elderly.
The main objective of this project was to detect the sentiments of a specific community on various events.
Featured Publications
Recent Publications
Quickly discover relevant content by filtering publications.
(2024).
A Novel IoT Middleware for Secure Pharmaceuticals Condition Monitoring in Supply Chain.
In The 15th International Conference on Ubiquitous and Future Networks, Budapest, Hungary.
(2023).
SIoAT in Action : Transforming Autonomous Agricultural Field Monitoring for Seamless Insurance Claims with Social IoT.
In 2023 I2RI Winter Poster Event, Sheffield Hallam University, Sheffield.
(2023).
Taking IoT Security to the Next Level: Hyperledger Fabric Private Blockchain enabled IoT Middleware.
In 2023 IEEE Globecom, kuala Lumpur, Malaysia.
(2023).
FRC-GIF: Frame Ranking-Based Personalized Artistic Media Generation Method for Resource Constrained Devices.
In IEEE Transactions on Big Data.
(2023).
Spike learning based privacy preservation of Internet of Medical Things in Metaverse.
In IEEE Journal of Biomedical and Health Informatics.
