
Prof. Robert Adjetey Sowah
Professor of Computer Engineering; Head, Department of Computer Engineering
Professor of Computer Engineering; Head, Department of Computer Engineering, University of Ghana
- Research programme
- Intelligent Systems, IoT & Smart Infrastructure
- Intelligent Systems, IoT & Smart Infrastructure
- Programme Lead
Biography
Prof. Robert Adjetey Sowah is a Professor of Computer Engineering and Head of the Department of Computer Engineering. His research spans machine learning and artificial intelligence, control systems, intelligent automation, embedded systems, Internet of Things applications, smart energy systems and wireless communication.
His work is strongly oriented toward the application of computational and engineering methods to real-world problems. His research has addressed areas including intelligent fire detection and control, fraud detection, smart home automation, energy systems, wireless sensor networks, secure communication systems and data-driven decision support.
Prof. Sowah has led and contributed to applied research integrating artificial intelligence, embedded systems, sensing technologies and intelligent decision-making to develop practical engineering solutions. At DRAKA Labs, his expertise contributes to interdisciplinary research at the intersection of artificial intelligence, intelligent systems, connected devices, automation and smart infrastructure.
Research interests
- Machine Learning
- Artificial Intelligence
- Control Systems
- Intelligent Automation
- Embedded Systems
- Internet of Things
- Smart Grids and Energy Systems
- Fraud Detection and Decision Support Systems
- Wireless Sensor Networks
- Communication Systems
- Smart Home Automation
- Distributed Control
Research programme leadership
Intelligent Systems, IoT & Smart Infrastructure
The programme investigates the convergence of artificial intelligence, embedded computing, sensing, control and connected systems, developing intelligent computational and engineering systems capable of sensing their environments, processing information, supporting automated decision-making and interacting with physical infrastructure.
- Machine Learning
- Artificial Intelligence
- Control Systems
- Intelligent Automation
- Embedded Systems
- Internet of Things
- Wireless Sensor Networks
- Smart Infrastructure
- Smart Energy Systems
- Distributed Control
- Intelligent Decision Support
- Cyber-Physical Systems
Applied domains
- Intelligent campus infrastructure
- Smart building systems
- IoT-enabled campus services
- Intelligent energy management
- Smart-grid research
- AI-enabled anomaly detection
- Fraud detection
- Intelligent safety systems
- Sensor-based monitoring
- Edge intelligence
- Distributed sensing
- Intelligent automation
- Cyber-physical systems
- AI-assisted decision support
DRAKA Labs responsibilities
- 01Applied AI research
- 02Intelligent systems research
- 03Research programme development
- 04Interdisciplinary research
- 05Research project leadership
- 06Research mentorship
- 07Postgraduate research collaboration
- 08Student research development
- 09Research publication
- 10Prototype development
- 11Engineering research translation
- 12Industry-facing applied research
Programme / project responsibility
Intelligent Systems, IoT & Smart Infrastructure · Programme Lead
Leads the Intelligent Systems, IoT & Smart Infrastructure programme, integrating artificial intelligence, embedded systems, sensing and control into practical engineering solutions.
Education
- PhD, Electrical and Computer EngineeringHoward University, USA2009
- Master of EngineeringHoward University, USA2005
- BSc, Electrical and Electronics EngineeringKwame Nkrumah University of Science and Technology2000
Selected publications
Conference paper · 2025
International Conference on Computing and Communication Networks
Conference paper · 2025
2025 1st Future International Conference on Artificial Intelligence and …
Conference paper · 2025
2025 1st Future International Conference on Artificial Intelligence and …
Conference paper · 2025
2025 1st Future International Conference on Artificial Intelligence and …
Journal article · 2024
Journal of Computer Networks and Communications 2024 (1), 5775671
Conference paper · 2024
Self-Reporting System for ATM Incidents Detection Using Machine Learning Techniques
2024 IEEE 9th International Conference on Adaptive Science and Technology …
