Dr Muhammad Asad
Profiles

Dr Muhammad Asad

Lecturer in Computer Science

School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)

Biography

Biography

Dr. Muhammad Asad holds the position of Lecturer in Computer Science at the University of Plymouth, UK. He also serves as a Visiting Researcher at the University of Tokyo. 
Prior to these roles, he worked as a 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.

Qualifications

Ph.D.: Nagoya Institute of Technology, Japan
Masters: Dalian University of Technology, China
Bachelors: COMSATS University Islamabad, WAH Campus, Pakistan
Research

Research

Research interests

Federated Learning, 
Deep Learning, 
Software-Defined Networking (SDN), 
Wireless Sensor Networks (WSNs), 
Vehicular Ad-Hoc Networks (VANets),
Internet of Things (IoT).
Publications

Publications

Key publications

Key publications are highlighted

Journals
Articles
Asad M & Otoum S (2024) 'Integrative Federated Learning and Zero-Trust Approach for Secure Wireless Communications' IEEE Wireless Communications 31, (2) 14-20 , DOI
Asad M, Shaukat S, Javanmardi E, Nakazato J, Bao N & Tsukada M (2023) 'Secure and Efficient Blockchain-Based Federated Learning Approach for VANETs' IEEE Internet of Things Journal 11, (5) 9047-9055 , DOI
Asad M, Shaukat S, Hu D, Wang Z, Javanmardi E, Nakazato J & Tsukada M (2023) 'Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey' Sensors (Basel) 23, (17) Author Site , DOI
Asad M, Shaukat S, Javanmardi E, Nakazato J & Tsukada M (2023) 'A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems' Applied Sciences (Switzerland) 13, (10) , DOI
Shaukat S, Asad M & Akram A (2023) 'Developing an Urdu Lemmatizer Using a Dictionary-Based Lookup Approach' Applied Sciences (Switzerland) 13, (8) , DOI
Bhatti MHR, Javaid N, Mansoor B, Alrajeh N, Aslam M & Asad M (2023) 'New Hybrid Deep Learning Models to Predict Cost From Healthcare Providers in Smart Hospitals' IEEE Access 11, 136988-137010 , DOI
Asad M, Aslam M, Jilani SF, Shaukat S & Tsukada M (2022) 'SHFL: K-Anonymity-Based Secure Hierarchical Federated Learning Framework for Smart Healthcare Systems' Future Internet 14, (11) , DOI
Ahmed G, Er MJ, Fareed MMS, Zikria S, Mahmood S, He J, Asad M, Jilani SF & Aslam M (2022) 'DAD-Net: Classification of Alzheimer's Disease Using ADASYN Oversampling Technique and Optimized Neural Network' Molecules 27, (20) Author Site , DOI
Mahmood S, Fareed MMS, Ahmed G, Dawood F, Zikria S, Mostafa A, Jilani SF, Asad M & Aslam M (2022) 'A Robust Deep Model for Classification of Peptic Ulcer and Other Digestive Tract Disorders Using Endoscopic Images' Biomedicines 10, (9) Author Site , DOI
Shafique A, Asad M, Aslam M, Shaukat S & Cao G (2022) 'Multi-hop similarity-based-clustering framework for IoT-Oriented Software-Defined wireless sensor networks' IET Wireless Sensor Systems 12, (2) 67-80 , DOI
Aslam M, Ye D, Tariq A, Asad M, Hanif M, Ndzi D, Chelloug SA, Elaziz MA, Al-Qaness MAA & Jilani SF (2022) 'Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT' Sensors (Basel) 22, (7) Author Site , DOI
Shafique A, Cao G, Khan Z, Asad M & Aslam M (2022) 'Deep Learning-Based Change Detection in Remote Sensing Images: A Review' Remote Sensing 14, (4) , DOI
Fareed MMS, Zikria S, Ahmed G, Mui-Zzud-Din, Mahmood S, Aslam M, Jillani SF, Moustafa A & Asad M (2022) 'ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans' IEEE Access 10, 96930-96951 , DOI
Asad M, Moustafa A, Rabhi FA & Aslam M (2021) 'THF: 3-Way Hierarchical Framework for Efficient Client Selection and Resource Management in Federated Learning' IEEE Internet of Things Journal 9, (13) 11085-11097 , DOI
Asad M, Moustafa A & Aslam M (2021) 'CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning' Applied Soft Computing 104, , DOI
Asad M, Moustafa A & Yu C (2020) 'A critical evaluation of privacy and security threats in federated learning' Sensors (Switzerland) 20, (24) 1-15 , DOI
Shafique A, Cao G, Aslam M, Asad M & Ye D (2020) 'Application-Aware SDN-Based Iterative Reconfigurable Routing Protocol for Internet of Things (IoT)' Sensors (Basel) 20, (12) Author Site , DOI
Asad M, Moustafa A & Ito T (2020) 'FedOpt: Towards communication efficiency and privacy preservation in federated learning' Applied Sciences (Switzerland) 10, (8) , DOI
Asad M, Aslam M, Nianmin Y, Ayoub N, Qureshi KI & Munir EU (2019) 'IoT enabled adaptive clustering based energy efficient routing protocol for wireless sensor networks' International Journal of Ad Hoc and Ubiquitous Computing 32, (2) 133-145 , DOI
Asad M, Nianmin Y & Aslam M (2018) 'Spiral Mobility Based on Optimized Clustering for Optimal Data Extraction in WSNs' Technologies 6, (1) , DOI
Asad M, Shaikh AA, Dino SP, Aslam M & Nianmin Y (2018) 'Lifetime maximization on Scalable Stable Election Protocol for Large Scale traffic engineering' International Journal of Advanced Computer Science and Applications 9, (1) 412-418 , DOI
Aslam M, Wang F, Hu X, Asad M & Munir EU (2017) 'Multihopping Multilevel Clustering Heterogeneity-Sensitive Optimized Routing Protocol for Wireless Sensor Networks' Journal of Sensors 2017, , DOI
Conference Papers
Asad M, Otoum S & Al Fandi O (2023) 'Edge Computing for the Metaverse: Balancing Security and Privacy Concerns' , DOI
Imran HM, Asad MAA, Abdullah TA, Chowdhury SI & Alamin M (2023) 'Few Shot Learning for Medical Imaging: A Review of Categorized Images' , DOI
Wang Z, Nakazato J, Asad M, Javanmardi E & Tsukada M (2023) 'Overcoming Environmental Challenges in CAVs through MEC-based Federated Learning' 151-156 , DOI
Asad M & Otoum S (2023) 'Towards Privacy-Aware Federated Learning for User-Sensitive Data' 343-350 , DOI
Asad M, Fernandez-Fernandez A, Chergui H, Compastie M, Montagud M, Fernandez S & Siddiqui S (2023) '6GENABLERS: A Holistic Approach to Establish Pervasive Trust in 6G Networks' 55-60 , DOI
Asad M, Otoum S & Shaukat S (2022) 'Resource and Heterogeneity-aware Clients Eligibility Protocol in Federated Learning' 1140-1145 , DOI
Asad M, Moustafa A, Ito T & Aslam M (2021) 'Evaluating the Communication Efficiency in Federated Learning Algorithms' 552-557 , DOI
Mohamed TA, Moustafa A, Ito T & Asad M (2021) 'Toward Agent-based Interactive Systems to Support Rehabilitation Process' 558-562 , DOI
Moustafa A, Asad M, Shaukat S & Norta A (2021) 'PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated Learning' 345-357 , DOI
Aslam M, Ye D, Hanif M & Asad M (2020) 'Adaptive machine learning: A framework for active malware detection' 57-64 , DOI
Aslam M, Ye D, Hanif M & Asad M (2020) 'Machine Learning Based SDN-enabled Distributed Denial-of-Services Attacks Detection and Mitigation System for Internet of Things' 180-194 , DOI
Asad M & Aslam M (2018) 'Heuristic path-reconfiguration algorithm using multi-hop opportunistic routing in WSNs' 47-52 , DOI
Aslam M, Wang F, Lv Z, Asad M, Zafar S, Munir EU & Hu X (2017) 'Energy efficient cubical layered path planning algorithm (EECPPA) for acoustic UWSNs' 1-6 , DOI
Ayoub N, Asad M, Aslam M, Gao Z, Munir EU & Tobji R (2017) 'MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks' 1-6 , DOI
Aslam M, Munir EU, Bilal M, Asad M, Ali A, Shah T & Bilal S (2014) 'HADCC: Hybrid advanced distributed and centralized clustering path planning algorithm for WSNs' 657-664 , DOI