Mr. Adams Azameti is a Lecturer in the Department of Information Technology Management at the University of Professional Studies, Accra (UPSA). He is a highly motivated academic with a strong background in Computer Science, Sustainable Transportation Systems, Smart Mobility, and AI-driven Transportation Solutions.

Mr. Azameti earned his MPhil in Computer Science from the University of Ghana, Legon, where he was co-advised by Professor Ferdinand Katsriku and Dr. Jamal-Deen Abdulai and graduated with distinction in the research seminar. He holds a BSc in Computer Science from Kwame Nkrumah University of Science and Technology (KNUST), where he graduated with distinction in teaching. In addition, he holds a Postgraduate Certificate in Education (PGCE) from the University of Education, Winneba, and a Higher National Diploma (HND) in Mechanical Engineering from Kumasi Technical University, graduating with distinction in project work.

Building on this solid educational foundation, Mr. Azameti has developed expertise in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, Intelligent Transportation Systems (ITS), and Human-Computer Interaction. He is proficient in programming languages such as Python, MATLAB, and C++, and is skilled in data preprocessing, cleaning, and management of large datasets. His technical expertise extends to deep learning, reinforcement learning, NLP, simulation modeling, and big data analytics.

He has led and contributed to impactful research projects, including the development of adaptive learning applications, fraud detection systems, CNN-based medical diagnosis tools, and traffic flow simulation models using AI to optimize urban mobility. His work has been published in peer-reviewed journals and presented at several international conferences.

At UPSA, Mr. Azameti teaches undergraduate courses such as Computer Graphics & Multimedia Applications, Management Information Systems, Web Technologies, and Network & Systems Administration. He also supervises undergraduate research projects, reviews academic papers for IEEE and Elsevier journals, and engages in proposal writing, conference presentations, and community service.

Beyond academia, he serves as Consultant and ICT Assistant Chief Examiner for the West African Examinations Council (WAEC), moderating examination questions, preparing marking schemes, and coordinating examiners.

Mr. Azameti’s research interests are interdisciplinary, focusing on AI and ML applications in education (with policy implications), intelligent transportation solutions, and the societal impacts of AI.

Selected Publications

https://www.researchgate.net/profile/Adams-Azameti

• Azameti, A., Katsriku, F., Owusu, E., & Abdulai, J. D. (2024). Mitigating

Intermittent Connectivity Problems in Vehicle-to-Vehicle Communication (V2VC):

A Sparse Network Computational Model (SNCM). EAI Endorsed Transactions on Mobile Communications and Applications, 8.  https://doi.org/10.4108/eetmca.5536

• Azameti, A. A. K., Quist, S. C., Koi-Akrofi, G., & Nwachuku, B. C. (2023). Authors: A Contemporary Approach to Designing and Implementing Electronic Voting Systems (EVS). EAI Endorsed Transactions on Smart Cities, 7(3). https://doi.org/10.4108/eetsc.3896
• Azameti, A., Koi-Akrofi, G., Agbodo, N., & Amegadzie, J. (2022). A ModelDriven Optical Clinic Management Systems: Systematic Software Engineering Approach. EAI Endorsed Transactions on Pervasive Health and Technology, 8(30). https://eudl.eu/doi/10.4108/eai.16–3–173610.
• Azameti, A. A., Katsriku, F. A., Chong, P., & Abdulai, J. D. (2018). The Effect of Congestion Control Model on Congested Traffic Flow in Vehicular Ad Hoc Networks (VANETs). EAI Endorsed Transactions on Mobile Communications and Applications, 4(13). http://dx.doi.org/10.4108/eai.22–3–154371