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Prof. Robert Adjetey Sowah
Rank
Professor
Email
rasowah@ug.edu.gh
Administrative position
Head of Department
About

Prof. Robert Adjetey Sowah is a Professor in Computer Engineering and currently serves as Head of Department. He is ranked among Ghana’s top scientists on the AD Scientific Index, reflecting his strong research output and academic impact.

His research and teaching span machine learning, control systems, intelligent automation, and smart infrastructure. He focuses on developing practical engineering solutions in areas such as fire detection and control systems, fraud detection, smart homes, energy systems, and wireless communication.

He has led and contributed to several applied research projects that integrate artificial intelligence, embedded systems, and data-driven decision-making to solve real-world problems.

Education
  • BSc. Electrical and Electronics Engineering, Kwame Nkrumah University of Science and Technology, 2000
  • Master of Engineering, Howard University, USA, 2005
  • PhD in Electrical and Computer Engineering, Howard University, USA, 2009
Research Interest

Prof. Sowah’s research focuses on the development of intelligent, data-driven systems for real-world engineering applications. His key research areas include:

  • Machine learning and artificial intelligence
  • Control systems and intelligent automation
  • Embedded systems and IoT applications
  • Control systems
  • Smart grids and energy systems
  • Fraud detection and decision support systems
  • Wireless sensor networks and communication systems
  • Smart home automation and distributed control
Publications
  1. Sowah, R. A., Bampoe-Addo, A. A., Armoo, S. K., Saalia, F. K., Gatsi, F., & Sarkodie-Mensah, B. (2020). Design and development of diabetes management system using machine learning. International Journal of Telemedicine and Applications, 2020, 8870141.
  2. Sowah, R. A., Apeadu, K., Gatsi, F., Ampadu, K. O., & Mensah, B. S. (2020). Hardware module design and software implementation of multisensor fire detection and notification system using fuzzy logic and convolutional neural networks (CNNs). Journal of Engineering, 2020, 3645729.
  3. Sowah, R. A., Boahene, D. E., Owoh, D. C., Addo, R., Mills, G. A., Owusu-Banahene, W., et al. (2020). Design of a secure wireless home automation system with an OpenHAB 2 framework. Journal of Sensors, 2020, 8868602.
  4. Sowah, R. A., Ofori-Amanfo, K. B., Mills, G. A., & Koumadi, K. M. (2019). Detection and prevention of man-in-the-middle spoofing attacks in MANETs using predictive techniques in artificial neural networks. Journal of Computer Networks and Communications, 2019, 4683982.
  5. 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.
  6. Fleischer, P. B., Nelson, A. Y., Sowah, R. A., & Bremang, A. (2012). Design and development of GPS/GSM based vehicle tracking and alert system for commercial inter-city buses. IEEE 4th International Conference on Adaptive Science & Technology.