Aloysius Edoh

Dr Aloysius Edoh

Senior Lecturer

Senior Lecturer Computer Science and Electrical/Electronic Engineering; Course Leader for BSc (Hons) Applied Computing; International Academic Advisor (ALT); CDT Computing Assessment Lead; Educational & Experience Lead

Department of Engineering & Computing , School Of Architecture, Computing And Engineering

Dr Aloysius Adotey Edoh Jnr holds a PhD in computational modelling and information systems.  He handles data analytics in medical information and predictive algorithms.

Dr Edoh has experience in computational modelling, predictive analytics, software reliability as well as performance analysis of distributed computer systems. His research areas include modelling large complex real time computer systems, DSS predictive algorithms and data re-representation techniques in medical application and Agile embedded systems development.


  • PhD; Computing and Technology, University of East London, London, UK
  • MPhil, Master of Philosophy in Computer Science; City, University Of London, SOI, London, UK,
  • MSc in Information Technology; University of East London, London, UK
  • BEng (Hons.), Electrical / Electronic Eng; Belarussian State Techn. University, Minsk, BSSR
  • Postgraduate Course in Health Informatics; University College Of London (UCL), UK
  • PGCert - Machine Learning in Healthcare, University College of London (UCL), UK
  • PGCert. HE T/L Postgrad Certificate in Higher Education; University of East London, London, UK
  • Data and Telecomm Tech Certificate; Computer College, London, UK
  • AGILE – Scrum Project Management Certificate; London, UK
  • IET – Certificate for Thesis and Paper Publication, London
  • AWS Cloud Technical Certificate; AWS Training, London, UK
  • Microsoft Cloud AZURE Certificate; QA Ltd, London

Areas Of Interest

His research interests include information system design and modelling; business process modelling; enterprise architecture and enterprise cloud  computing; mobile and wireless network design and simulation; distributed systems and next generation operating systems; data analytics and predictive algorithms with machine learning in healthcare and education system.  Data communication/security, cyber wireless networks, smart city, industry 5.0, computer systems optimisation; software development using Agile embedded methodology.