Adnan Mahmood (阿德南, 아드난 )
Lecturer in Computing – IoT and Networking (Equivalent: Assistant Professor)
School of Computing, Faculty of Science & Engineering, Macquarie University
Address: Room 286, 4 Research Park Drive, Macquarie University, Sydney, NSW 2109, Australia
Email: adnan.mahmood@mq.edu.au | Google Scholar | LinkedIn
I am actively looking for Highly Motivated and Dedicated Students interested to pursue PhD Studies under my Supervision at Macquarie University, Sydney, Australia. Prospective Students with Outstanding Academic Record are highly encouraged to initiate contact delineating their intended Research Topic. Both Short- and Long-term Research Visitors are also more than welcome to get in touch. 本人招收有志于在澳洲, 悉尼, 麦考瑞大学攻读博士学位的学生. 热忱欢迎具备优秀学术造诣的青年才俊与我联系, 并简要阐述自己打算研究的课题. 短期和长期研究访问学者也非常欢迎加入, 共同推进前沿领域研究.
What's New:
Our Research Paper, CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation, has been accepted in the 40th Annual AAAI Conference on Artificial Intelligence – AAAI 2026 (CORE A*).
Our Research Paper, Integrated Resource Allocation for Sequential Task Offloading in Edge Computing, has been accepted in the IEEE Transactions on Services Computing (CORE A*, Impact Factor: 5.8).
Our Survey Paper, Federated Learning at the Forefront of Fairness: A Multifaceted Perspective, has been accepted in the 34th International Joint Conference on Artificial Intelligence – IJACI 2025 (CORE A*).
Our Research Paper, Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval, has been accepted in the 39th Annual AAAI Conference on Artificial Intelligence – AAAI 2025 (CORE A*).
I am invited to serve on the Program Committee of the 34th International Joint Conference on Artificial Intelligence – IJACI 2025 (CORE A*).
I am invited to serve on the Program Committee of the IEEE International Conference on Web Services – ICWS 2025 (CORE A).
Research Interests
I primarily focus on the -numerous subdomains of the promising yet emerging paradigm of the Internet of Things, in particular, on the Internet of Vehicles since it is an indispensable constituent of the modern Intelligent Transportation Systems and which itself is critical to the realization of futuristic Smart Cities. My interest in Vehicular Networks began almost a decade ago when I started investigating the classical notion of Vertical Handover of Dynamic Nodes in Heterogeneous Wireless Networks. Over the years, as challenges evolved, I looked into the Management Aspects of Heterogeneous Vehicular Networks by primarily applying the paradigm of Software-defined Networking so as to achieve extremely Low Latency for Safety-critical Applications in Connected Vehicles. Lately, I have been employing the notion of Trust for strengthening the resilience of such a Non-deterministic Highly Dynamic Network.
Over the years, I have also developed an interest in Privacy Preservation, Citation Function Classification, Activity Recognition, and Conversational Question Answering primarily by working on a number of collaborative projects with excellent research colleagues.
Research Grants
Chief Investigator, ARC Research Hub in the Internet of Things for Water (ARC IH240100014, AU$ 5 Million + AU$ 5 Million), funded by the Australian Research Council via its Industrial Transformation Research Hub Program (2024 – 2029).
Chief Investigator, Accelerating Large Model Training with Preserved Data Privacy (AU$ 25K), funded by the Australia Germany Joint Research Cooperation Scheme (Initiative of Universities Australia and the German Academic Exchange Service – DAAD) (2024 – 2025).
Chief Investigator, Building IoT Infrastructure for Future Research (AU$ 99.786K), funded by the Macquarie University’s Research Infrastructure Scheme (2025).
Primary Chief Investigator, A Trust-based IoV Testbed for Misbehavior Detection in the Internet of Vehicles, funded by the Macquarie University’s COVID Recovery Research Fellowship (2022).
Higher Degree Research Supervision
I closely Supervise Higher Degree Research Candidates in order to facilitate their Research Journey towards successful completion. I (a) engage with the Higher Degree Research Candidates to plan their respective research program, (b) ensure that the scope of their research is sufficient and achievable, (c) identify appropriate resources for supporting their research, and (d) support them for disseminating outcomes of their research via publications and any follow-up activities.
Current Higher Degree Research Students:
Maryam Tahermazandarani, PhD Candidate, School of Computing, Macquarie University, Australia.
Fahmida Islam, PhD Candidate, School of Computing, Macquarie University, Australia.
Manoj Madushanka Perera, PhD Candidate, School of Computing, Macquarie University, Australia.
Noorain Mukhtiar, PhD Candidate, School of Computing, Macquarie University, Australia.
Jack Ka-Fai Lau, PhD Candidate, School of Computing, Macquarie University, Australia..
Mohammed Moinuddin Sameer, PhD Candidate, School of Computing, Macquarie University, Australia.
Ehtesham Ferdous, PhD Candidate, School of Computing, Mathematics and Engineering, Charles Sturt University, Australia.
Wang Yingxun, PhD Candidate, Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia.
Sundas Metlo, Master of Research Candidate, School of Computing, Macquarie University, Australia.
Yinxuan Chen, Master of Research Candidate, School of Computing, Macquarie University, Australia.
Voon Sze Sin, Master of Research Candidate, Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia.
Past Higher Degree Research Students:
Dr. Yang Zhang, PhD, School of Computing, Macquarie University, Australia (Thesis: Towards Citation Function Classification – A Natural Language Processing Perspective, Awarded: December 2023) – First Job as a Postdoctoral Research Fellow at Macquarie University, Australia.
Dr. Subhash Sagar, PhD, School of Computing, Macquarie University, Australia (Thesis: Trust Computational Heuristics for Social Internet of Things, Awarded: December 2022) – First Job as a Postdoctoral Research Fellow at Deakin University, Melbourne, Australia.
Dr. Sarah Ali Siddiqui, PhD, School of Computing, Macquarie University, Australia (Thesis: Securing the Internet of Vehicles – A Trust Management Approach, Awarded: November 2022) – First Job as a CSIRO Early Research Career Postdoctoral Fellow at Data61, Sydney, Australia.
Kasun Eranda Wijethilake. Master of Research, Macquarie University, Australia (Thesis: Towards Intelligent Participant Selection for Federated Learning in the Internet of Vehicles, Awarded: 2025).
Manoj Madushanka Perera. Master of Research, Macquarie University, Australia (Thesis: Towards Adaptive Context Management for Intelligent Conversational Question Answering Systems, Awarded: 2025).
Fahmida Islam. Master of Research, Macquarie University, Australia (Thesis: Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks, Awarded: 2025).
Jianxuan Xu. Master of Research, Macquarie University, Australia (Thesis: Towards a Trust-based Heuristic for Securing the Internet of Vehicles, Awarded : 2025).
Jack Christopher Ka-Fai Lau. Master of Research, Macquarie University, Australia (Thesis: Towards Establishing B2B Software-as-a-Service Transactional Pricing Attributes, Awarded: 2025).
Benjamin Jesse. Master of Research, Macquarie University, Australia (Thesis: Enhancing Compression Efficacy Through Hypercubes – A Data Reconstruction Framework, Awarded: 2025).
Mohammed Moinuddin Sameer. Master of Research, Macquarie University, Australia (Thesis: A Context-Aware Hybrid Trust Management Model for the Internet of Vehicles, Awarded: 2025).
Zichao Sun, Master of Engineering – Electronic Information, Lanzhou University of Technology, Lanzhou, Gansu, People's Republic of China (Thesis: Location-based Big Data Grid Clustering Statistics Publishing and Privacy Protection Method, Awarded: September 2023).
Fei Xu, Master of Engineering – Computer Application Technology, Lanzhou University of Technology, Lanzhou, Gansu, People's Republic of China (Thesis: A Research on Spatial Location Privacy Protection Mechanism Satisfying Geo-Indistinguishability, Awarded: September 2023).
Yiming Cong, Master of Engineering – Communication and Information System, Lanzhou University of Technology, Lanzhou, Gansu, People's Republic of China (Thesis: Statistics Release and Privacy Protection Method of Location Big Data Based on Deep Learning, Awarded: September 2022).
Visiting Researchers:
Liang Liang, Liuzhou Polytechnic University, Liuzhou, Guangxi Zhuang Autonomous Region, People's Republic of China (April 2024 – April 2025).