Prof. Ebenezer Owusu
Professor of Artificial Intelligence; Head, Department of Computer Science
Professor of Artificial Intelligence
- Research programme
- Artificial Intelligence, Computer Vision & Pattern Recognition
- DRAKA.PC
- Lead Business Analyst
Biography
Prof. Ebenezer Owusu is a Professor of Artificial Intelligence and serves as Senior Academic & AI Research Lead at DRAKA Labs.
He provides academic and research leadership for the Laboratory's work in artificial intelligence and intelligent systems, supporting the application of AI research to complex institutional and societal challenges.
His involvement supports interdisciplinary collaboration between artificial intelligence and other DRAKA Labs research areas, including enterprise systems, data engineering, cybersecurity, human-centred computing and digital public infrastructure.
Research interests
- Pattern Recognition
- Computer Vision
- Image Processing
- Intelligent Systems
- Applied AI
- AI-enabled Decision Support
- Responsible AI
- Institutional AI
- Intelligent Automation
- Digital Transformation
Research programme leadership
Artificial Intelligence, Computer Vision & Pattern Recognition
DRAKA Labs responsibilities
- 01Academic and research leadership
- 02Artificial Intelligence research direction
- 03AI research programme development
- 04Interdisciplinary research collaboration
- 05Research quality and academic guidance
- 06Postgraduate and student research development
- 07Research mentorship and supervision
- 08Applied AI innovation
- 09Research publication development
Programme / project responsibility
DRAKA.PC · Lead Business Analyst
Contributes institutional and business-process expertise to the DRAKA.PC programme, helping translate University processes and requirements into structured business, research and digital-system requirements.
Selected publications
Journal article · 2026
Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection
Applied AI Letters 7 (1), e70016, 2026
Journal article · 2026
Enhancing few-shot semantic segmentation in remote sensing through magnitude-based pruning
Signal Processing: Image Communication, 117492, 2026
Journal article · 2026
Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot Benchmark
arXiv preprint arXiv:2607.15331, 2026
Journal article · 2026
Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration
arXiv preprint arXiv:2606.09474, 2026
Journal article · 2026
An Imbalance-Aware Machine Learning Framework for Smishing Detection in SMS-Based Mobile Banking
Journal article · 2026
Investigating the use of exemplary data for software vulnerability prediction
International Journal of System Assurance Engineering and Management 17 (3 …, 2026