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A picture of Dr.Gifty Osei
Rank
Lecturer
Email
gbuah@ug.edu.gh
About

Dr. Gifty Buah Osei is a researcher and academic in Computer Engineering at the University of Ghana. Her work focuses on the application of machine learning and Internet of Things (IoT) technologies to solve real-world problems in areas such as smart systems, cybersecurity, and intelligent infrastructure.

She has contributed to several interdisciplinary research projects spanning artificial intelligence, smart campus systems, financial technology security, and wireless sensor networks. Her research emphasizes practical, scalable solutions that support digital transformation and sustainable development.

Her collaborations with other researchers have resulted in publications in reputable international conferences and journals, particularly in areas involving AI-driven systems and intelligent automation.

Education
  • PhD in Computer Engineering, University of Ghana
  • MSc. Electrical and Computer Engineering, Carnegie Mellon University Africa
  • BSc. Computer Engineering, University of Ghana
Research Interest

Dr. Osei’s research focuses on the development of intelligent and connected systems. Her key research areas include:

  • Machine learning and artificial intelligence
  • Internet of Things (IoT) systems
  • Cybersecurity and secure systems
  • Smart systems and intelligent infrastructure
  • Data-driven applications for real-world problem solving
Publications
  1. Sowah, R. A., Boahene, D. E., Owoh, D. C., Addo, R., Mills, G. A., Owusu-Banahene, W., & Osei, G. B. (2020). Design of a secure wireless home automation system with an open home automation bus (OpenHAB 2) framework. Journal of Sensors.
  2. Sowah, R. A., Kuditchar, B., Mills, G. A., Acakpovi, A., Twum, R. A., Buah, G., & Agboyi, R. (2021). HCBST: An efficient hybrid sampling technique for class imbalance problems. ACM Transactions on Knowledge Discovery from Data (TKDD), 16(3), 1–37.
  3. Ansah, M. R., Ugo, H. C., Aboagye, I. A., Sowah, N. L., Osei, G. B., Balapangu, S. S., & Kwofie, S. K. (2024). Artificial intelligence and health in Africa: Opportunities, challenges, and ethical considerations. In Examining the Rapid Advance of Digital Technology in Africa.
  4. Buah, G., Memusi, S., Munyi, J., Brown, T., & Sowah, R. A. (2021). Vulnerability analysis of online banking sites to cross-site scripting and request forgery attacks: A case study in East Africa. IEEE International Conference on Adaptive Science and Technology.
  5. Sowah, R. A., Mills, G. A., Togo, E., Pomary, P., & Osei, G. B. (2024). Efficient computer networks peer-to-peer (P2P) traffic management and control using machine learning with open source tools. IEEE International Conference on Adaptive Science and Technology.
  6. Antwi, E. K., Osei, G. B., Owusu-Banahene, W., Boakye-Danquah, J., Okafor, P. M., et al. (2025). Development of a risk assessment software for cumulative effect. MethodsX.
  7. Sowah, R. A., Shahid, M., Sowah, N. L., & Buah, G. (2024). Design and development of IoT-based automatic vehicle accident detection system. IEEE International Conference on Adaptive Science and Technology.