Staff Profile

  • View Michael's PURE profile

    Dr. Michael Opoku Agyeman is a Chartered Engineer (CEng) of the IET, a Fellow of Higher Education Academy (UK) and, a Senior Member of the IEEE who is a Senior Lecturer and the Programme Leader of BEng, HND, MEng Computer Systems Engineering at the Department of Computing at the University of Northampton, UK.

    Michael is the 2018/19 Elected Senate representative for academic staff from the Faculty of Arts, Science and Technology (FAST) at the University of Northampton. He is an Associate member of the Chartered Management Institute (ACMI). Previously, he was with Intel Embedded System Research group of the Chinese University of Hong Kong (CUHK) as a Research Fellow, where he worked on reliable wireless Network-on-Chip solutions.

    He received the PhD in Embedded and Distributed Systems from Glasgow Caledonian University, UK, in and the MSc. degree in Embedded and Distributed Systems from London South Bank University, UK. Michael received the BSc. (Hons.) in Electrical and Electronics Engineering from Kwame Nkrumah University of Science and Technology (KNUST), Ghana. Michael holds two teaching qualifications: Postgraduate Certificate in Academic Practice (PGCAP) and Postgraduate Certificate in Research Degree Supervision (PGCert) from the University of Northampton.

    He is the author of 4 books, 2 book chapters and over 70 publications in major journals and conference proceedings. Michael’s research interest spans across 3 main strands and disciplines:  1. High Performance Computing and Embedded Systems (VLSI SoC design, computer architecture, reconfigurable computing, wired and wireless NoCs, smart rehabilitation solutions, embedded systems and Internet-of-Things (IoT)); 2. Business Administration (Neuromarketing, advertising and marketing research) and; 3. Pedagogy (student engagement in HE, problem-based learning and team-based learning ), all linked by his passion for emerging technologies and teaching.

    He has been a Guest Editor of the EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. He is a technical committee member of over 10 conferences such as IEEE ICCSN, IEEE ICBDA and IEEE ICCT. He is also a reviewer of several conferences and journals including IEEE TVLSI and TCAD. His work on wireless NoC has attracted 2 best paper awards in IEEE/IFIP 14th International Conference on Embedded and Ubiquitous Computing in 2016 (EUC) and Euromicro Conference on Digital System Design (DSD) 2016, respectively. His research contribution on smart rehabilitation systems for stroke patients won the best paper in the poster session award at the International Symposium on Computer Science and Intelligent Control (ISCSIC) in 2019. He is the first winner of the Diamond Early Career Research Award at the University of Northampton in 2019. He is also the winner of the University of Northampton’s 2018 International Changemaker of the year award.

  • Michael teaches on the following modules:


    • CSY2015 Microprocessor Systems
    • CSY1043 Fundamentals of Computer Systems
    • CSY4010 Computing Dissertation
    • CSY2027 Group Project
    • CSY2002 Operating Systems
    • CSY1014 Computer Systems (2016-2018)
    • CSY3022 Digital Signal Processing (2015 – 2018)


    • CSYM028 Modern Computer Architecture
    • CSYM023 Dissertation
  • Michael’s research interest spans across 3 main strands and disciplines (linked by his passion for emerging technologies and teaching):

     1. High Performance Computing and Embedded Systems

    • Network-on-Chip (NoC); Reliable on-chip communication
    • Surface wave communication; Wireless on-chip (WiNoC) communication
    • System-on-Chip (SoC) design
    • 3D IC, 3D NoC
    • Computer Architecture
    • Internet-of-Things (IoT)
    • Embedded Systems
    • FPGA design and many-core systems

    2. Business Administration

    • Neuromarketing
    • Advertising and Marketing Research
    • Eye tracking
    • Consumer behaviour

    3. Pedagogy

    • Student engagement
    • Problem-based learning
    • Team-based learning
    • Technology enhanced learning
  • For publications, projects, datasets, research interests and activities, view Michael Opoku Agyeman’s research profile on Pure, the University of Northampton’s Research Explorer.

    • Michael Opoku Agyeman, Kin-Fai Tong, Terrence S. T. Mak: Towards reliability and performance-aware Wireless Network-on-Chip design. DFTS 2015: 205-210
    • Wen Zong, Michael Opoku Agyeman, Xiaohang Wang, Terrence S. T. Mak:
      Unbiased Regional Congestion Aware Selection Function for NoCs. NOCS 2015: 19:1-19:8
    • Michael Opoku Agyeman, Wen Zong, Ji-Xiang Wan, Alex Yakovlev, Kenneth Tong, Terrence S. T. Mak:
      Novel Hybrid Wired-Wireless Network-on-Chip Architectures: Transducer and Communication Fabric Design. NOCS 2015: 32:1-32:2 2013
    • Michael Opoku Agyeman, Ali Ahmadinia, Alireza Shahrabi:
      Heterogeneous 3D Network-on-Chip Architectures: Area and Power Aware Design Techniques. Journal of Circuits, Systems, and Computers22(4) (2013)
    • Michael Opoku Agyeman, Ali Ahmadinia, Alireza Shahrabi:
      Efficient routing techniques in heterogeneous 3D Networks-on-Chip. Parallel Computing 39(9): 389-407 (2013)
    • Michael Opoku Agyeman, Ali Ahmadinia:
      A systematic generation of optimized heterogeneous 3D Networks-on-Chip architecture. AHS 2013: 79-83
    • Michael Opoku Agyeman, Ali Ahmadinia:
      Optimised Application Specific Architecture Generation and Mapping Approach for Heterogeneous 3D Networks-on-Chip. CSE 2013: 794-801 2011
    • Michael Opoku Agyeman, Ali Ahmadinia:
      Power and area optimisation in heterogeneous 3D networks-on-chip architectures. SIGARCH Computer Architecture News 39(4): 106-107(2011)
    • Michael Opoku Agyeman, Ali Ahmadinia, Alireza Shahrabi:
      Low power heterogeneous 3D Networks-on-Chip architectures. HPCS 2011: 533-538
    • Michael Opoku Agyeman, Ali Ahmadinia:
      An adaptive router architecture for heterogeneous 3D Networks-on-Chip. NORCHIP 2011: 1-4
    • Michael Opoku Agyeman, Ali Ahmadinia:
      Optimising Heterogeneous 3D Networks-on-Chip. PARELEC 2011: 25-30