Tahir Mohammad
PhD, MSc, B.Tech, Senior Member IEEE
tahir.mohammad@utu.fi Office: 454C ORCID identifier: https://orcid.org/0000-0002-6273-4603 |
Cybersecurity, Artificial intelligence for Cybersecurity and wireless networks, Internet of Things (IoT), Resource allocation and management in 5G and beyond networks
Cyber Security Engineering Lab
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
- Ethical Hacking
- Communication Technologies and Security in IoT.
- Industrial datasets with ICS testbed and attack detection using machine learning techniques (2022)
- Intelligent Automation and Soft Computing
(A1 Refereed original research article in a scientific journal) - 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 Refereed article in a conference publication ) - 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 Refereed article in a conference publication ) - 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 Refereed original research article in a scientific journal) - Anomaly detection in ICS datasets with machine learning algorithms (2021)
- Computer Systems Science and Engineering
(A1 Refereed original research article in a scientific journal) - A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities (2021)
- Computers and Security
(A1 Refereed original research article in a scientific journal) - Energy-efficient load-aware user association in ultra-dense wireless network (2021) Mughees A, Tahir M, Sheikh M, Ahad A
(A4 Refereed article in a conference publication ) - Energy-Efficient Ultra-Dense 5G Networks: Recent Advances, Taxonomy and Future Research Directions (2021)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - 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 Refereed original research article in a scientific journal) - 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 Refereed article in a conference publication ) - 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 Refereed article in a conference publication ) - 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 Refereed article in a conference publication ) - A Review on Application of Blockchain in 5G and beyond Networks: Taxonomy, Field-Trials, Challenges and Opportunities (2020)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - 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 Refereed original research article in a scientific journal) - Performance Analysis of Blockchain Platforms: Empirical Evaluation of Hyperledger Fabric and Ethereum (2020) Dabbagh M, Kakavand M, Tahir M, Amphawan A
(A4 Refereed article in a conference publication ) - 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 Refereed original research article in a scientific journal) - Towards energy efficient 5G networks using machine learning: Taxonomy, research challenges, and future research directions (2020)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Towards integration of blockchain and iot: A bibliometric analysis of state-of-the-art (2020) Dabbagh M, Kakavand M, Tahir M
(C1 Refereed scientific book) - Trust Management for IoT Security: Taxonomy and Future Research Directions (2020) Ahmed K, Tahir M, Lau S
(A4 Refereed article in a conference publication ) - 5G-based smart healthcare network: Architecture, taxonomy, challenges and future research directions (2019)
- IEEE Access
(A1 Refereed original research article in a scientific journal)