Michael Opoku
The researcher has made significant contributions in integrating advanced computational and machine learning techniques for medical diagnosis, such as fuzzy classifiers and feature selection methods. Their work extends into emerging technologies like IoT-based smart home systems, IoT-based energy monitoring systems, and smart grid optimization, highlighting innovations in hardware advancements. The researcher's research also addresses societal implications, including education policies and ethical considerations in healthcare and education. Through a blend of computational innovation and practical applications across various domains, the researcher has contributed to advancing both technical excellence and real-world impact.
Advanced Memory and Neural Computing
Advanced MIMO Systems Optimization
Advanced Wireless Communication Technologies
Biomedical and Engineering Education
Cloud Computing and Resource Management
Data Management and Algorithms
ECG Monitoring and Analysis
Education Systems and Policy
Embedded Systems Design Techniques
Gaze Tracking and Assistive Technology
Gene expression and cancer classification
High voltage insulation and dielectric phenomena
ICT in Developing Communities
Interconnection Networks and Systems
IoT and Edge/Fog Computing
IoT-based Smart Home Systems
Molecular Communication and Nanonetworks
Music Therapy and Health
Musicology and Musical Analysis
Network Security and Intrusion Detection
Neuroscience and Music Perception
Online and Blended Learning
Parallel Computing and Optimization Techniques
Power Systems and Technologies
Radiation Effects in Electronics
Real-Time Systems Scheduling
Retinal Imaging and Analysis
Security and Verification in Computing
Semiconductor materials and devices
Smart Grid Energy Management
Software-Defined Networks and 5G
Stroke Rehabilitation and Recovery
Department of Surgery
Kwame Nkrumah University of Science and Technology