Tahir Mohammad
PhD, MSc, B.Tech, Senior Member IEEE
tahir.mohammad@utu.fi Työhuone: 454C ORCID-tunniste: https://orcid.org/0000-0002-6273-4603 |
Resource allocation and management in wireless networks, Internet of Things, Cybersecurity, 5G/6G cellular networks, Game Theory for wireless networks.
Communication and Cyber Security Engineering Lab (https://sites.utu.fi/cyber/?lang=en)
Mohammed Tahir received PhD in Engineering in 2016 from the International Islamic University Malaysia where his research focused on game-theoretic modelling for improving spectrum sensing and network throughput in cognitive radio networks. He completed his Master's degree in Communication Engineering from International Islamic University Malaysia in 2011 working on the physical layer security for wireless networks. Before joining the University of Turku, Mohammad Tahir worked as a Senior Lecturer and Program Leader at Sunway University Malaysia where he managed the dual degree program of BSc in Computer Networking and Security offered in partnership with Lancaster University UK, and successfully led several funded research projects.
Prior to joining academia, Mohammad Tahir worked for government-funded R&D companies in Malaysia (MIMOS, TM R&D). His work included designing and implementing proof-of-concept using software-defined radios for efficient spectrum utilization and architecting and implementing IoT based vertical solutions. While he was in the industry, he co-authored two patents on wireless communication and two on IoT. He has also worked in start-ups implementing IoT middleware and smart tracking solutions. He has good experience in providing consultancy services, developing educational materials, and delivering industrial training on IoT. His research interests include 5G/6G networks, the Internet of Things, cybersecurity, game theory and applied machine learning for wireless networks and the application of blockchain for IoT and wireless networks.
My research spans the physical, MAC, and network layers of the OSI model focusing on designing and developing smart, secure, and self-organizing systems that apply to wireless networks and IoT. Smart cities, for example, need to integrate cyber-physical critical infrastructure (e.g. smart grids, water networks) and wireless systems. Developing resilient and secure processes for managing various smart city components requires multiple components to adaptively and optimally manage resources (power, spectrum, QoS etc.) to operate efficiently and recover quickly in case of failure. I am exploring various techniques, such as machine learning, optimization techniques, Blockchain and game theory to develop appropriate solutions.
If you would like to work/collaborate in a related area, contact me at tahir.mohammad@utu.fi
Currently, I am teaching Communication Technologies and Security in IoT. I have mostly taught cybersecurity-related courses, including network security, wireless security and ethical hacking.
- Industrial datasets with ICS testbed and attack detection using machine learning techniques (2022)
- Intelligent Automation and Soft Computing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Performance Analysis of Federated Learning in wireless networks (2022) 2022 IEEE 6th International Symposium on Telecommunication Technologies (ISTT) Joomye Abdurraheem, Tahir Mohammad, Aman Sheikh Muhammad, Ling Mee Hong, Yap Kian Meng
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Performance Evaluation of Machine Learning Algorithms for Intrusion Detection in IoT Applications (2022) 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Ng Yee Jien, Tahir Mohammad, Dabbagh Mohammad, Yap Kian Meng, Farooq Ali
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - An Intelligent Clustering-Based Routing Protocol (CRP-GR) for 5G-Based Smart Healthcare Using Game Theory and Reinforcement Learning (2021) Ahad Abdul , Tahir Mohammad , Sheikh Aman Muhammad , AHMED ISTIAQUE KAZI , Mughees Amna
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Anomaly detection in ICS datasets with machine learning algorithms (2021)
- Computer Systems Science and Engineering
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities (2021)
- Computers and Security
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Energy-efficient load-aware user association in ultra-dense wireless network (2021) Mughees A, Tahir M, Sheikh M, Ahad A
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Energy-Efficient Ultra-Dense 5G Networks: Recent Advances, Taxonomy and Future Research Directions (2021)
- IEEE Access
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction (2021) AHMED ISTIAQUE KAZI , Tahir Mohammad , Habaebi Hadi Mohamed , Lau Lun Sian , Ahad Abdul
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Optimal Route Selection in 5G-based Smart Health-care Network: A Reinforcement Learning Approach (2021) Ahad A, Tahir M, Sheikh MAS, Mughees A, Ahmed KI
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Optimal Route Selection in 5G-based Smart Health-care Network: A Reinforcement Learning Approach (2021) Ahad A, Tahir M, Sheikh M, Mughees A, Ahmed K
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Game Theory Based Clustering Scheme (GCS) for 5G-based Smart Healthcare (2020) Ahad A, Tahir M, Sheikh M, Hassan N, Ahmed K, Mughees A
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Review on Application of Blockchain in 5G and beyond Networks: Taxonomy, Field-Trials, Challenges and Opportunities (2020)
- IEEE Access
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A Strategic and Significant Method for the Optimal Placement of Phasor Measurement Unit for Power System Network (2020) Baba Maveeya , Nor M. B. Nursyarizal , Aman.Sheikh M. , Irfan Muhammad Dr. , Tahir Mohammad
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Performance Analysis of Blockchain Platforms: Empirical Evaluation of Hyperledger Fabric and Ethereum (2020) Dabbagh M, Kakavand M, Tahir M, Amphawan A
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review (2020) Ahad Abdul , Tahir Mohammad , Sheikh Aman Muhammad , Ahmed Istiaque Kazi , Mughees Amna , Numani Abdullah
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Towards energy efficient 5G networks using machine learning: Taxonomy, research challenges, and future research directions (2020)
- IEEE Access
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Towards integration of blockchain and iot: A bibliometric analysis of state-of-the-art (2020) Dabbagh M, Kakavand M, Tahir M
(C1 Vertaisarvioitu tieteellinen erillisteos) - Trust Management for IoT Security: Taxonomy and Future Research Directions (2020) Ahmed K, Tahir M, Lau S
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 5G-based smart healthcare network: Architecture, taxonomy, challenges and future research directions (2019)
- IEEE Access
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )