Taufiq is an Associate Professor in the School of Computing and Digital technology and the Head of the Future Information Networks (FINET) Research Cluster at Birmingham City University (BCU).
He received the PhD degree in Information Engineering from Trinity Hall, the University of Cambridge, UK, and the BEng (1st Class Hons) in Electrical and Electronic Engineering from Nanyang Technological University, Singapore. Before joining BCU in March 2020, he had a long international career in information technology and computing research, including in the UK (Cranfield and Coventry Universities), Taiwan (National Chiao Tung University), Germany (Bell Labs) and Singapore (Institute for Infocomm Research).
Taufiq's research interests are in the broad area of information theory and its multidisciplinary applications. Over the past few years, his research works have included topics in the fundamental Shannon theory (e.g., non-coherent communications), wireless networks (cognitive protocols and architecture development) and Internet of Things (computational algorithms for data sensing and processing). He has recently been investigating the applied sides of information theory, focusing on its connections with machine learning and networking, and the broad contextual applications in smart cities, environmental monitoring, disaster management, intelligent transportation and cybersecurity.
His research has been supported by the UK DCMS, Samsung GRO Fund, EPRSC GCRF, Research England GCRF, National Science Council of Taiwan Grant and Cambridge Trust.
Taufiq has authored/co-authored more than 50 peer-reviewed research articles in leading journals and conferences. I currently serves as an Academic Editor for PeerJ Computer Science (IF: 3.09), Topic Editor for Sensors (IF: 3.275), and Associate Editor for IEEE Access (IF: 3.745).
- Information theory
- Signal processing
- Wireless communications
- Machine learning
- Statistical data analytics
- Internet of Things
- Intelligent systems
- PhD in Information Engineering (University of Cambridge, UK)
- BEng (Hons) in Electrical and Electronic Engineering (Nanyang Technological University, Singapore)
- Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
- Fellow, Higher Education Academy (HEA)
Communications Engineering, Applied AI, Mathematics for Computing, Network Fundamentals, Research Methods and Project Management
Areas of current research
- Fundamental information theory (e.g., non-coherent communications and error-correction coding)
- Wireless networks (cognitive protocols and architecture development)
- Internet of Things (computational algorithms for data sensing and processing)
- Machine learning and networking
- Smart system applications (smart cities, environmental monitoring, disaster management and intelligent transportation)
- Cybersecurity (data-driven classification and prediction)
Researcher Supervision:
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Bidushi Barua, “Wireless Communications for 5G Connected Forest”, Research Fellow, Birmingham City University
- Ambreen Hussain, “Smart Sensing and Processing for 5G Connected Forest”, Research Fellow, Birmingham City University
- Malaka Miyuranga, “Smart System and Robotics for 5G Connected Forest”, Research Fellow, Birmingham City University
- Moazam Azeem, “Wireless Networks and Hardware/Software Experimentation for 5G Connected Forest”, Research Assistant, Birmingham City University
- Ahmed Osman, “Hardware/Software Integration for 5G Connected Forest”, Research Intern, Birmingham City University
PhD Supervision:
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Yussuf Ahmed, “Data-driven framework and experimental validation for security monitoring of networked systems”, Birmingham City University
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Dalia El-Banna, “Information theory-driven frame exclusion for next-generation video communications”, Birmingham City University
- Md Shantanu Islam, “Transmission framework for 5G and beyond communications”, Birmingham City University
- Ibnu F. Kurniawan, “Internet of Things-enabled contextual traffic information dissemination: Network design and performance optimization”, Coventry University
Selected journal papers from the past 3 years:
- M. A. Rahim, M. A. Rahman, M. M. Rahman, A. T. Asyhari, M. Z. A. Bhuiyan and D.Ramasamy, “Evolution of IoT-Enabled Connectivity and Applications in Automobile Industry: AReview,” Elsevier Vehicular Communications,vol. 27,2021.
- A. T. Asyhari, T. Koch and A. Guillén i Fàbregas, “Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels,” Entropy, vol. 22, no. 9, 2020.
- M. A. Rahman, N. Zaman, A. T. Asyhari, F. Al-Turjman, M. Z. A. Bhuiyan, and M. F.Zolkipli, “Data-Driven Dynamic Clustering Framework for Mitigating the Adverse EconomicImpact of Covid-19 Lockdown Practices”, Elsevier Sustainable Cities and Society, vol. 62, 2020.
- M. A. Rahman, A. T. Asyhari, L. S. Leong, G. B. Satrya, H. Tao and M. F. Zolkipli,“Scalable Machine Learning-Based Intrusion Detection System for IoT-enabled Smart Cities,”Elsevier Sustainable Cities and Society, vol. 61, 2020.
- S. J. Lee, P. D. Yoo, A. T. Asyhari, Y. C. Jhi, L. Chermak, C. Y. Yeunand K. Taha,“IMPACT: Impersonation Attack Detection via Edge Computing using Deep Autoencoder andFeature Abstraction." IEEE Access, vol. 8, pp. 65520–65529, 2020.
- A. T. Asyhari, “New Bounds on Mutual Information for Discrete Constellations and Applicationto Wireless Channel Estimation,” Digital Communications and Networks, vol. 6, no. 4, 2020.
- M. A. Rahman, A. T. Asyhari, M. S. Obaidat, I. F. Kurniawan, M. Y. Mukta, and P.Vijayakumar, “IoT-Enabled Light Intensity-Controlled Seamless Highway Lighting System,”IEEE Systems Journal, in press, 2020.
- T. Wang, Y. Liang, Y. Tian, M. Z. A. Bhuiyan, A. Liu and A. T. Asyhari, “Solving CouplingSecurity Problem for Sustainable Sensor Cloud Systems based on Fog Computing,” IEEETransactions on Sustainable Computing, in press, 2019.
- W. Haselmayr, N. Varshney, A. T. Asyhari, A. Springer and W. Guo, “On the Impact ofTransposition Errors in Diffusion-Based Channels,” IEEE Transactions on Communications, vol.67, no. 1, pp. 364–374, 2019.
- A. Rahman, S. Azad, A. T. Asyhari, M. Z. A. Bhuiyanand K. Anwar, “Collab-SAR: ACollaborative Avalanche Search-And-Rescue Technique for Human Rescuing Missions ExploitingHostile Alpine Networks,” IEEE Access, vol. 6, pp. 42094–42107, 2018.
- M. A. Rahman, A. T. Asyhari, M. Z. A. Bhuiyan, Q. M. Salih and K. Z. B. Zamli, “L-CAQ:Joint Link-Oriented Channel-Availability and Channel-Quality Based Channel Selection forMobile Cognitive Radio Networks,” Elsevier Journal of Network and Computer Applications,vol. 113, pp. 26–35, Jul. 2018.
- S. Azad, A. Rahman, A. T. Asyhari and A. K. Pathan, “Crowd Associated Network: Exploitingover Smart Garbage Management System,” IEEE Communications Magazine, vol. 55, no. 7,pp. 186–192, Jul. 2017.
- A. T. Asyhariand S. ten Brink, “Orthogonal or Superimposed Pilots? A Rate-EfficientChannel Estimation Strategy for Stationary MIMO Fading Channels,” IEEE Transactions onWireless Communications, vol. 16, no. 5, pp. 2776–2789, May 2017.
- S. Qiu, T. Asyhari, W. Guo, S. Wang, B. Li, C. Zhao and M. Leeson, “Molecular FadingChannel from Diffusivity Fluctuations,” IEEE Communications Letters, vol. 21, no. 3, pp.676–679, Mar. 2017.
Full lists of publications are available at:
