Research output per year
Research output per year
Overview
Profile summary
Dr. Muhammad Asad holds the position of Lecturer in Computer Science at the University of Plymouth, UK. Previously, he served as a Visiting Researcher and Project Researcher in the Department of Creative Informatics at the University of Tokyo. Dr. Asad completed his Ph.D. in Computer Science at the Nagoya Institute of Technology, Japan, where he received the prestigious President’s Award in 2021–2022 for his outstanding research achievements. Earlier in his academic journey, Dr. Asad earned a Master’s degree in Computer Science from Dalian University of Technology, China, and a Bachelor’s degree in Telecommunication and Networking from COMSATS University Islamabad, Pakistan. His research primarily focuses on Federated Learning, Deep Learning, and a range of advanced networking technologies, including VANETs, ITS, WSNs, SDN, and IoT, showcasing his deep expertise and ongoing contributions to the field of computer science.
Professional memberships
Fellow of the Higher Education Academy (FHEA), Advance HE, United Kingdom (Awarded 2025)
Teaching interests
Teaching modules:
- COMP1000 - Software Engineering 1
- COMP3007 - HCI, Usability and Visualization
- COMP1004 - Computing Practice
- COMP3000 - Computing Project
His broader teaching interests include Software Engineering, Programming Fundamentals, Machine Learning, and Computer Networks.
Additional information
Contact me for
Research collaboration and consultancy; keynote speaking and panel participation; editorial and peer-review opportunities; postgraduate research supervision; external examining; and academic or institutional review activities.
Academic qualifications
Computing, Doctorate, Expanding Federated Learning By Several Strategies To Reduce The Communication Costs, Nagoya Institute of Technology
1 Oct 2019 → 30 May 2022
Award Date: 15 Jun 2022
Computing, Other higher degree (e.g. Masters degree), Optimized Routing Protocols for Optimal Data Extraction of Static and Spiral Mobility based WSNs, Dalian University of Technology, Dalian, China
1 Sept 2015 → 30 Jun 2018
Award Date: 30 Jun 2018
Computing, First Degree, HADCC: Hybrid Advanced Distributed and Centralized Clustering Path Planning Algorithm for WSNs, COMSATS University Islamabad
1 Sept 2010 → 30 Jun 2014
Award Date: 22 Sept 2014
Research Interests
- Federated Learning Systems
- Zero-Trust Architecture
- Open RAN (6G, URLLC, IoV)
- Blockchain-Enabled ML Frameworks
- AIoT Systems for Smart Cities
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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Research output
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SIAD: a low-latency AI-driven software architecture for anomaly detection in industrial IoT environments
Asad, M. & Alhasawi, Y., 30 Jun 2026, In: Cluster Computing. 29, 7, 427.Research output: Contribution to journal › Article › peer-review
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A Federated Approach to Scalable and Trustworthy Financial Fraud Detection
Alhasawi, Y., Almtrf, A. A. & Asad, M., 12 Sept 2025, In: SECURITY AND PRIVACY. 8, 5, e70099.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Downloads (Pure) -
A novel hybrid YOLO-O SegNet for object detection and optimization with DCNN-based object recognition in federated learning
Soomro, P. D., Fu, X., Banbhrani, S. K., Asad, M. & Shuaibu, Z., 1 Dec 2025, In: Multimedia Tools and Applications. 84, 42, p. 50849-50888 40 p.Research output: Contribution to journal › Article › peer-review
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Federated learning for secure and efficient vehicular communications in open RAN
Asad, M., Shaukat, S., Nakazato, J., Javanmardi, E. & Tsukada, M., 28 Jan 2025, In: Cluster Computing. 28, 3, 211.Research output: Contribution to journal › Article › peer-review
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FL-SATS: Federated Learning for Sybil Attack Detection in Transportation System
Asad, M. & Otoum, S., 2025, ICC 2025 - IEEE International Conference on Communications. Valenti, M., Reed, D. & Torres, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3376-3381 6 p. (IEEE International Conference on Communications).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review