IMPACT GHANA. INSPIRE AFRICA. ENGAGE THE WORLD.
FLOWERS
SCHOOL OF TECHNOLOGY AND MANAGEMENT
Dr. Michael K. Addae-Kagyah
Programme Director — Energy Physics, Data Science, Software Engineering & Development, Theoretical Physics
Michael Addae-Kagyah, PhD
Dr. Michael K. Addae-Kagyah is a multidisciplinary scientist and technologist whose career integrates physics, data science, artificial intelligence, and enterprise software engineering. With more than two decades of international experience spanning academia, research, and industry, he has held technical and leadership roles at institutions such as Campbell Scientific Inc. (USA), EarthSoft Inc. (USA), Xactware Inc. (USA), and the University of Ghana. He is currently Principal Data Scientist at SUAVE AI LLC and Chief Technology Officer (Part-time) for Africa USA Business Connections, leading data-driven innovation initiatives between Africa and North America.
His research and product-development portfolio covers AI, machine learning, big-data engineering, and computational physics, producing practical tools such as Safari-MCQ (AI-based exam-grading suite), EMT-FTS (ECOWAS Marine Fishing Tracking System for maritime surveillance), Sahara-TES (teacher-evaluation analytics), and Smart-Attendance (AI-enabled classroom monitoring). These systems demonstrate how scientific modelling and data science can drive governance, education, and business transformation.
Dr. Addae-Kagyah previously lectured in Physics at the University of Ghana, supervising postgraduate research in energy systems and computational modelling. He continues to serve as consultant and systems architect to universities, government agencies, and private enterprises seeking end-to-end digital solutions grounded in data integrity, sustainability, and local capacity building.
Professional Biography
Research Interests
Teaching Fields
Selected Publications & Conferences
Collaboration & Engagement
Professional Biography
EDUCATION AND QUALIFICATIONS
PhD (Physics – Theoretical & Computational), Utah State University, USA.
MPhil (Physics – Energy Part I), University of Ghana.
BSc (Hons) Computer Science and Physics, University of Ghana.
Higher Diploma – Management of Information Systems, IMIS (UK).
Professional Memberships & Honours
Member, American Physical Society (APS).
Member, Institute of Electrical and Electronics Engineers (IEEE).
Member, Phi Kappa Phi and Sigma Pi Sigma Honour Societies.
Best Graduate Student Paper (APS Four-Corners Conference, 2006).
Community and Institutional Engagement
- Founder/Lead Developer, SUAVE AI LLC – open innovation and mentorship for young African data scientists.
- Developer of multiple public-sector digital systems: university registries, local-government information systems, and national procurement platforms.
- Advocate for STEM education and research capacity development through mentorship and industry placements.
Research Interests
RESEARCH INTERESTS
- Artificial Intelligence (AI), Machine Learning, and Large-Language-Model applications.
- Data Engineering and ETL Pipeline Orchestration for Environmental and Scientific Data.
- Computational Physics and Plasma Modelling (theoretical frameworks for ion viscous stress in magnetised plasmas).
- Geospatial Analytics for Maritime and Fisheries Monitoring (EMT-FTS System).
- AI-based Assessment and Education-Technology Systems (Safari-MCQ, Brain-GRES, Smart-Attendance).
- Software Engineering Methodologies for Data-Governance and Decision-Support Systems.
Related SDGs: SDG 4 (Quality Education) • SDG 9 (Industry, Innovation and Infrastructure) • SDG 13 (Climate Action) • SDG 14 (Life Below Water) • SDG 17 (Partnerships for the Goals).
Teaching Fields
TEACHING FIELDS/INTERESTS
Computational and Applied Physics.
Data Science and Machine Learning Applications.
Software Engineering and Systems Design.
Scientific Programming (Python, R, C++, C#, Fortran).
Big Data Analytics and Visualization.
AI Ethics and Data Governance.
Digital Transformation and Innovation Management for Higher Education.
Selected Publications & Conferences
- Addae-Kagyah, M.K. (2007). Formulation and Simulation of the Generalized Ion Viscous Stress Tensor in Magnetized Plasmas. Doctoral Dissertation, Utah State University.
- Addae-Kagyah, M.K., Held, E.D. (2006). Effects of Generalized Ion Stress on Plasma Sound Waves. Award-Winning Presentation, APS Four Corners Section Meeting, Utah State University.
- Developer/Presenter – AI and Data Analytics workshops for universities and local governments (2018 – present).
- Lead Designer – ECOWAS Marine Thema Fishing Tracking System (EMT-FTS) and Safari Suite of AI tools for education management.
Collaboration & Engagement
COLLABORATION & ENGAGEMENT
Dr. Addae-Kagyah collaborates globally on projects that combine scientific research, software innovation, and socio-economic impact. His portfolio demonstrates how AI and data science can deliver practical solutions to climate resilience, education management, and governance.
Key Collaborative Domains
- Climate Data & Environmental Monitoring (SDG 13, SDG 14): Data-driven marine surveillance and resource protection through AI-based tracking and analytics (EMT-FTS).
- Education Technology and Assessment Systems (SDG 4): Automation of university registry, research, and evaluation processes to improve quality assurance (Safari and Sahara Suites).
- Industry 4.0 and Innovation Infrastructure (SDG 9): Collaborative design of smart manufacturing and data governance frameworks.
- Public-Sector Digitalisation (SDG 17): Co-creation of integrated information systems for government and local authorities (Synergy-LGIS, Unified Procurement System, FEMS).
Dr. Addae-Kagyah welcomes partnerships with universities, research centres, governments, and corporate entities seeking to develop AI-enabled systems and data-science solutions that advance education, governance, and sustainability across Africa and beyond.