Dr Mike Lakoju

Dr Mike Lakoju

Department: Department of Computer Science

Office/Location: Cardiff School of Technologies, Llandaff Campus


Email: mlakoju@cardiffmet.ac.uk

Staff Overview

​Mike is a Senior Lecturer in Data Science at Cardiff School of Technologies. He completed his PhD degree in Computer Science at Brunel University London, UK, in 2017. He is a highly motivated, result-oriented Professional with over twelve (12) years of collective work experience in Industry and academia. In this time, he has focused on Data Science, Artificial Intelligence (AI), the Internet of Things (IoT), Data-driven Big Data Strategy, Cybersecurity, Business Intelligence, consultancy, and academic research. Prior to joining Cardiff Metropolitan University, he was a Data Science and Cyber Analytics Researcher on the "Chatty Factories Project" at Cardiff University’s School of Computer Science & Informatics. He was part of the Security, Privacy and Human Factors Research group. “Chatty Factories” is a £1.5m project focused on revolutionizing the UK manufacturing industry by leveraging the Internet of things (IoT) / sensor technology and Artificial intelligence (AI) to create a system which allows products “talk” securely and directly to the factory floor thus allowing the possibility of harnessing product use data in real-time. Mike is certified in Azure AI Fundamentals, SAP ABAP and SAS Base 9.


  • ​Computational Intelligence
  • Programming for Data Analysis


Some of my Research Interests include:

Centre for Industry 4.0 and Blockchain Research:

  • AI, IoT and Blockchain (For Chatty devices)

EUREKA Robotics Centre: 

  • Computer Vision,  
  • IoT and Secure / Adversarial Social-Service Robotic practices.

DataScience, AI, & Human Centred Design:

  • AI & Social media Analytics

BioEngineering Research Group:

  • Leveraging IoT & AI to improve healthcare in developing countries (wearable devices)

Key Publications

M. Lakoju, A. Javed, O. Rana, P. Burnap. T. Atiba and S. Cherkaoui. (2021) “Chatty  Devices” and Edge-based  Activity Classification Link to journal

T. Atiba , F Moses, M. Lakoju, F. Semire, and R. Aldmour. Machine Vision Intelligent Travel Aid for the Visually Impaired (ITAVI) in Developing Countries 

A. Javed, M. Lakoju, P. Burnap, and O. Rana (2020), Security Analytics for Real Time Forecasting of Cyberattacks, Special Issue on Big Data Analytics in Industry 4.0 Ecosystems Software: Practice and Experience  

P. Burnap, et al 2019.  Chatty Factories: A Vision for the Future of Production Design and Manufacture with IoT. (Presented in the PETRAS Living in the Internet of Things 2019 conference. 1-2 May 2019)

R. Aldmour; P. Burnap; M. Lakoju 2019. Risk Assessment Methods for Converged IoT and SCADA Systems: Review and Recommendations. (Presented in the PETRAS Living in the Internet of Things 2019 conference 1-2 May 2019) 

Nuhu, K. A.et al. 2018. Investigating user responses to mandatory IT- induced organisational changes: a pre-implementation study. Presented at: European Conference on Information Systems 2018, Portsmouth, 23-28 June 2018.

Lakoju, M., A Serrano. Saving Costs with a Big Data Strategy Framework. IEEE BIG Data 2017 Conference. Boston, USA

Lakoju, M., A Serrano. A Strategic Approach for Visualizing the Value of Big data (SAVV-BIGD) Framework. IEEE BIG Data 2016 Conference. Washington DC, USA.

Lakoju, M., A Serrano. A. Framework for Aligning Big-Data Strategy with Organizational Goals. AMCIS 2017 in Boston, USA

Other Projects and activities

​Chatty Factories research project.

External Links