Dr Aloysius Edoh
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
- Member of the AWS Academy Educator Consortium in UK/ Ireland and AWS Cloud Educator
- Member of Microsoft AZURE Cloud Education and AZURE and AZURE Cloud Educator
- Fellow of Carnegie Diaspora Programme for USA and Ghana Universities staff exchange;
- Member of the Institute of Electrical and Electronic Engineers (MIEEE), USA
- Fellow of the Higher Education Academy, UK (FHEA)
- Member of the British Computer Society (BCS), UK
- Member of the Institution of Engineering and Technology (MIET), UK
- Corporate Member of Chartered Institute of Transport and Logistics (MCITL), UK.
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.
Dr Eng Aloysius Adotey Edoh Jnr PhD
PhD, MPhil (CS), MSc (IT), BSc (Eng), PGCertHE, MBCS, MIEEE, MIET, MCITL, Comm. Eng. Cert.; FHEA;
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. He is a visiting lecturer to universities in Germany, China, Ghana, Greece and USA.
He holds a PhD in computational modelling of Information System using Machine Learning Data analytic tools and MPhil in Computer Science and developed intelligent software agents (smart chatbot). He has over 20 years teaching experience in UK HEI and has developed many engineering and computer science courses taught in UK and international UEL partnership institutions.
He is a visiting lecturer and external examiner for overseas universities namely Kaiserslautern Technical University, Germany, University of Amsterdam, Hangzhou State University, China, Greece, Malaysia, Egypt, Ghana, USA and Anglia Ruskin University, UK. He is AWS/AZURE cloud computing and agile scrum educator as well as member of institutions such as MIEEE, MIET, BCS, FHEA and MCITL. He has supervised more than five PhD students to completion and published many papers. Has was a guest speaker at “STEM in Africa” conference in Cambridge University and main speaker at “Life after Graduation” in the International Scholars’ Webinar.
Dr Aloysius Edoh PhD, MPhil (CS), MSc (IT), BSc (Eng), Comm. Eng. Cert.; PGCertHE received a BSc Hons degree in Electrical/Electronic Engineering at the Belarussian State Technical University and had an Associate Degree in Electronic and Telecommunication in London (UK).
Dr Edoh was awarded MSc in Information Technology (IT) at UEL, after conducting research on middleware technology with Dr Richard Anthony, his supervisor. He continued his studies at City University, London, UK where he was awarded Master of Philosophy (MPhil) in Computer Science. While at City University, he taught database, software development using UML and Business Information System (BIS) as tutorial lecturer. Aloysius studied at University College London (UCL) Health Informatics Department and had Certificate in Machine Learning in Healthcare. He was appointed a full-time lecturer at UEL. Aloysius continued his research and was awarded a PhD in Computing and Technology.
Before moving into academia, Aloysius worked as an electrical/electronic engineer at Ghana Railway and became the chief mechanical/electrical engineer, where he managed many international projects to the sum of over 50 million dollars from world banks, among others. He then worked as a railway computer consultant at Crown Agents Company Ltd, Sutton UK and later as a project engineer/ research analyst with Holdtrade Trading International, London, UK. Dr Edoh is a senior lecturer at the School of Architecture, Computing and Engineering (ACE) and a member of the Distributed Systems and Software Engineering Research Group.
Dr Edoh is a member of the British Computer Society (BCS), Fellow of the Higher Educational Academy (FHEA) and member of the Institute of Electrical/Electronic Engineer MIEE (aka IET) in the UK. Aloysius has developed many engineering and computer science modules and participated on the development of many programmes, which are taught in the UK and many counties. Dr Edoh is a visiting lecturer to Kaserlutem Applied Technical University in Germany, institutions in China, Greece, Ghana and OPNET academic team in USA.
Dr Aloysius Edoh is the programme leader for BSc (Hons) Computing, where he manages the progression and the activities of students doing BSc (Hons) Computing and BSc Information Technology. He is a recruitment academic officer, who has travelled to Kenya, Nigeria and Ghana for academic and recruitment purposes. Aloysius has been a member of the School Quality Committee for many years and he is currently a member of the School collaboration committee.
Dr Edoh is an academic advisor and the link tutor for overseas partner Institutions, which includes Kazan State University, Greece and Ghana Institutions. Aloysius was the Erasmus coordinator for UEL and the Health Informatics Department of Amsterdam University, Holland. He is an external examiner for the MEng degree at Kaserlutem Applied Science and Engineering University, Germany.
He is a member of the BCS health and agile groups. Aloysius is also a member of the IET, railway, and computer technology and health groups, Oracle middleware and database group, and OPNET academic research group.
His other roles include:
1. External Examiner for MEng programme Anglian Ruskin University and their Malaysia programme;
2. External Lecturer/ Examiner for University of Ghana in Accra, Carriage Mellon Ghana;
3. External Examiner for MEng at Kaiserslautern Science and Engineering University, Germany;
4. Internal UEL Examiner for BSc (Software Engineering) collaboration University in ASU, Egypt ;
5. Internal UEL Examiner for BSc (Computing) collaboration Colleges in FTMS Malaysia and Singapore;
6. Internal UEL Examiner for MSc (CSE) students Colleges in FTMS Malaysia and Singapore;
7. Internal UEL Examiner for Data Communication/Networking, Hangzhou State University, China;
8. Internal Examiner for MSc Electrical and Computer System Engineering in UEL.
Industry partners include:
- Ghana Institute of Journalism Accra,
- University of Professional Studies, Accra,
- Ghana and University of Ghana, Accra.
Aloysius' research interests include data re-representation techniques and risk predictive analytics for clinical decision support systems, which was introduced to him by his UCL lecturer Dr Paul Taylor of the Health Informatics Department. His PhD thesis, which is based on this concept, proved that most of current Internet based heart pressure predictive systems (CVD) give erroneous values because incorrect predictive algorithms are used by the epidemiologists (see e-book).
At City University, Aloysius developed intelligent software agent based computational models for e-commence operation. He used an idea being to combine a variety of 'risk equations' developed by epidemiologists into an overall measure. Dr Edoh has published many papers and ebooks documents; he has published in journals and conference papers such as IEEE conference and Springer. Again, he is member of programme committee of international conferences, for example the security at Thessaloniki.
Dr Edoh was one of the main researchers on the team that worked on the £50,000 Diagnostic Feedback tool for Virtual Learning Environment Higher Education Funded by the Council for England (HEFCE) E-Learning Fund.
Aloysius is a member of the BCS AGILE group and has a Scrum Agile Project Management Certificate, London.
Most recent research:
- Next Generation Enterprise Architecture for Cloud based Enterprise Computing
- The new Cybersecurity framework using BPMN security techniques.
- Optimisation of multi-cloud Architecture for Enterprise application;
- Data analytics and Predictive algorithms application to detect Diabetics in people of African origins
- Development of Mobile and cyber networks for the next Gen smart city in Industry 5.0.
- Intelligent Systems Research group
- Intelligent Technologies Research Group
- Smart City Research Group
- Nwajana, A. O., Ijemaru, G. K., Ang, K. L. M., Seng, J. K. P., & Yeo, K. S. K. & Edoh, A. A. (2021). Unbalanced Two-Way Filtering Power Splitter for Wireless Communication Systems. Electronics 2021, 10, 617
- Nwajana, A. O., Otuka, R. I., Ebenuwa, S. H., Ihianle, I. K., Aneke, S. O., & Edoh, A. A. (2020, June). Symmetric 3dB filtering power divider with equal output power ratio for communication systems. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-4). IEEE.
- Edoh, A, Sklavounos, D. Spiros C., 2019, Network attack detection method based on matrix factorisation. In UEL Research & Knowledge Exchange Conference June 2019 https://issuu.com/uelresearch/docs/rkeconferenceprogramme
- Sklavounos, D., Edoh, A. and Paraskevopoulos, G., 2018, Utilization of Statistical Control Charts for DoS Network Intrusion Detection. In International Journal of Cyber-Security and Digital Forensics (IJCSDF) 7(2): 166-174
- Otuka, R.I., Edoh, A.A. and Al-Nemrat, A., 2017, December. A Novel Semantic Framework for Cloud Service Ranking and Adoption. In The Third International Conference on Information Security and Digital Forensics (ISDF2017) (p. 44).
- Sklavounos, D., Edoh, A. and Plytas, M., 2017, November. A Statistical Approach Based on EWMA and CUSUM Control Charts for R2L Intrusion Detection. In Cybersecurity and Cyberforensics Conference (CCC), 2017 (pp. 25-30). IEEE.
- Sklavounos, D., Paraskevopoulos, G. and Edoh, A., 2017, December. Cumulative Sum Technique for Network Cyber Intrusion Detection. In Third International Conference on Information Security and Digital Forensics (ISDF2017) (p. 7).
- Nwobodo, I., Jahankhani, H., & Edoh, A. (2014). Security challenges in the distributed cloud computing. International Journal of Electronic Security and Digital Forensics, 6(1), 38-51;
- Edoh, Aloysius. (2013) A Novel CMAUT-UML Framework for the Optimisation of Clinical Information System (CIS) and Prediction of CVD Percentage Risk – www.books.google.com;
- Imafidon C, Kans A, Edoh A, Framework for optimising clinical information system In Advances in Computing and Technology (AC & T) Conference – January 2010;
- Imafidon, C., Kans, A. and Edoh, A., 2009. Human organ re-representation using UML and CMAUT. In The School of Computing and Technology 4th Annual Conference, University of East London, pp.235-245;
- Edoh, A, Sobh, T., & Elleithy, K. (2006). Combinatorial Multi-attribute Auction (CMOA) Framework for e-auction. In Advances in Systems, Computing Sciences and Software Engineering (pp. 387-395). Springer Netherlands.
Aloysius's teaching expertise include software modelling and development using UML and Rational Rose, database design and management, operating systems: UNIX, Windows programming, computer networks design and management; network analysis using OPNET simulation packages; data analytics using SPSS and business statistical tools; data re-representation for DSS in medical application; software development using agile methodology and enterprise architecture.
Aloysius has supervised over 1000 MSc Computing students over 15 years.
He is currently supervising ten Master of Philosophy (MPhil) and PhD students, and has successfully supervised a total of five PhD students to completion.
- Computer Systems and Networking
- Information Systems Management and Design ;
- Project Management;
- Operating Systems and Computer Systems Programming
- Data Communication and Computer Networks
- Enterprise Architecture and Enterprise Cloud Computing
- Database Systems
- Advance Software Engineering
- Cloud Computing
- Computer Architecture and Computer Networking;
- Design of Heterogeneous Software Systems
- IT Project Management;
- Level 8 PhD students supervision
- Level 7 MSc students supervision