Kwabena Owusu-Agyemang
The researcher's work centers on advancing privacy-preserving technologies across diverse domains, integrating deep learning with privacy techniques to address challenges in distributed computing, AI for cancer detection, cybersecurity, brain tumor classification, network security, smart grid resilience, and food science. Contributions include enhanced robustness against adversarial attacks using advanced neural networks and deep learning frameworks.
Faculty Biography
Kwabena Owusu-Agyemang is a Lecturer at the Department of Computer Science with research and professional experience in machine learning and blockchain technology. He obtained his Doctoral degree in Software Engineering with specialization in Machine Learning and master’s degree in Information Technology Management from Coventry University.As an accomplished educator and machine learning engineer, He possess a strong drive to utilize state-of-the-art technologies in order to advance research and foster innovation. His proficiency lies in the application of machine learning algorithms and techniques to tackle intricate problems across various domains. He has demonstrated expertise in creating and implementing data-driven solutions that optimize performance and improve decision-making processes. He is dedicated to creating a collaborative and engaging learning environment that prioritizes academic excellence and real-world application. Throughout His career, He has an established record of publishing influential research papers, delivering impactful lectures, and leading successful interdisciplinary projects. He excels at effectively communicating complex concepts to students, colleagues, and professionals in the industry.Despite his many achievements, Kwabena remains humble and dedicated to his work. He continues to be an active researcher and is always looking for new ways to advance the field of machine learning and improve the understanding of the models and its application in the industry.Email Address : kwabenaoa@knust.edu.gh
Advanced Data Storage Technologies
Advanced Malware Detection Techniques
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
AI in cancer detection
Blockchain Technology Applications and Security
Brain Tumor Detection and Classification
Human Pose and Action Recognition
ICT Impact and Policies
Identification and Quantification in Food
Network Security and Intrusion Detection
Privacy-Preserving Technologies in Data
Smart Grid Security and Resilience
Department of Computer Science
Kwame Nkrumah University of Science and Technology