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Dr Kay Owa

Lecturer/Senior Lecturer

Computer Science in the School of Science & Technology

Staff Group(s)
Computing and Technology


Dr Owa is a Lecturer/Senior Lecturer at the Department of Computing and Technology, Nottingham Trent University, United Kingdom. He is an associate Fellow, Higher Education Academy, (AFHEA-UK), a member of the Institute of Electrical and Electronics Engineers (IEEE) Professional association and a Member of the British Computer Society, (MBCS-UK).

Dr. Owa is also the Leader for the following modules at the university:

  • System Programming: Python Programming
  • Distributed Database Engineering Systems
  • Network Design and Administration

He is a tutor for the following modules at the university:

  • Software Design and Implementation: C++ Programming
  • Foundations of Computing Technology and Programming
  • Data Analysis and Business Organisation (Business Intelligence) - Degree Apprenticeship

Dr. Owa has over 21 years of experience. He has expertise in diverse areas such as Software Engineering, Artificial Intelligence, Machine learning, Neural networks, Modelling, Data Analytics, Soft-computing, Nonlinear Model predictive control (NMPC) strategy, Assembly Automation and Control, Big Data/Data Science/Data Training, probabilistic modelling, Predictive analytics, Soft Computing: Metaheuristic/Evolutionary algorithms (Neural network, genetic algorithm, particle swarm optimization), Networking, Security, Forensic, Mathematics and Business Intelligence.

He is currently supervising students in the following areas and topics:

  • An online web-based system for Rail Tickets Booking System Across Gulf (RTBSAG) countries.
  • Dynamic website for locating suitable charging points for electrical cars.
  • Smart car parking system booking app on mobile phone. (Mobile App Development).
  • Biometric Attendance System.
  • Exploitation of small organizations via APT phishing attacks (an open-source security tool).
  • Predictive calendar for releases of products: An exclusive sneaker as a case study.
  • Mobile application Journal to document daily activities.
  • Distributed Identity Platform using Blockchain.

External activity

  • EP/K014137/1. £1.9M as Optimisation Expert, Adaptive Informatics for Intelligent Manufacturing (AI2M) at Loughborough University, United Kingdom.
  • EU OPTIMISED Project 680515 (7 Million Euros): OPTIMISED is a 10-party, 3 year, fully EU-funded consortium project, made up of SME’s, large companies and research institutions from across the EU. The ‘Optimised’ project name is a descriptive acronym for what the project will deliver: “Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data” at Nottingham University, United Kingdom.