Search, discover, and connect with over 1,800 researchers, faculty members, and scholars across all departments of KNUST.
Department of Computer Science
The researcher integrates cutting-edge technologies across diverse domains to address complex challenges in agriculture, security, and human health. By leveraging IoT, blockchain, and ergonomics, they explore innovative applications that bridge the gap between science, engineering, and societal needs.
Department of Computer Science
The researcher focuses on developing comprehensive approaches across multiple domains—network security, energy integration, smart grids, data storage, and malware detection—to enhance security, sustainability, and reliability. Their work aims to address complex challenges in physical sciences by integrating advanced technologies such as machine learning for attack detection, renewable energy systems for resilience, efficient data storage methods, and sophisticated malware detection techniques.
Department of Computer Science
The researcher has focused on integrating advanced analytical techniques across diverse domains such as healthcare, education, logistics, and telecommunications, aiming to enhance data-driven solutions for real-world challenges. Through innovative approaches that combine signal processing, optimization algorithms, and AI/ML, the work contributes significantly to areas like security, ergonomics, sleep disorders, and social impact assessments.
Department of Computer Science
Research activities at this scholar span multiple domains, blending technological innovation with real-world applications across diverse fields. The work delves into vehicular ad hoc networks (VANETs), leveraging blockchain-based solutions for security in vehicle-to-infrastructure communication; advancing hydrological forecasting through machine learning tailored to Ghana’s ecological zones; and exploring cryptographic techniques for secure systems, such as deniable authentication and advanced signal processing methods. These areas are characterized by their focus on enhancing safety, efficiency, and security in critical technologies like power transfer systems and data storage solutions. The scholar also contributes to software-defined networks by addressing challenges in privacy and resource management, while maintaining a global perspective with studies that span social sciences and engineering disciplines.
Department of Computer Science
The researcher has engaged in integrative studies spanning multiple domains, focusing on innovative approaches to address challenges in agriculture, environment, and health through interdisciplinary methodologies. Their work integrates sentiment analysis for opinion mining, advanced manufacturing techniques, agronomic practices, climate change impacts, nematode management, molecular biology, and community health. The overarching research effort emphasizes developing innovative tools and technologies across various fields, such as gaze tracking apps and sentiment-based analytics, to enhance agricultural sustainability, environmental monitoring, and human well-being in practical applications.
Department of Computer Science
The researcher’s work integrates experimental gravitational wave detection with theoretical frameworks in quantum gravity and black hole physics, exploring foundational principles through advanced experiments and simulations.
Department of Computer Science
The researcher's work centers on exploring the intersections of international business strategies, environmental policies' impact on economic growth and sustainability, and global health challenges in African contexts. Key themes include domestic consumption, international trade dynamics, industrialization effects, urbanization, natural resources such as agricultural water access, and the energy sector, particularly smart grids, to address gender politics, education equity, and environmental sustainability.
Department of Computer Science
The researcher's work is centered on integrating advanced AI techniques with traditional computational methods across diverse fields such as healthcare, smart agriculture, cybersecurity, and data analysis. Their focus includes enhancing security protocols through steganography and cryptography, optimizing data classification and anomaly detection, improving network performance, and addressing health-related challenges. By combining innovative solutions with robust methodologies, the researcher aims to develop a comprehensive approach that integrates these elements across various domains, ultimately striving for a secure and efficient framework.
Department of Computer Science
This researcher has conducted extensive work across diverse domains within Physical Sciences, focusing on advancements in wireless networks, data security, AI applications, healthcare, and ethical issues. Their research spans themes such as energy harvesting techniques, spam detection algorithms, health-related applications of AI, cloud computing infrastructure, network security protocols, privacy-preserving technologies, mobile robotics, global health studies, higher education research, and data storage solutions.
Department of Computer Science
The researcher investigates the interplay between external systems and internal processes across diverse domains, examining how these elements shape outcomes and dynamics in both natural and artificial contexts.
Department of Computer Science
The researcher focused on developing language learning models and materials for EFL/ESL students, applying sociocultural approaches to enhance their willingness to communicate. They also explored online learning environments with blended teaching methods, investigating content difficulty and technology integration. Additionally, they contributed to pedagogical frameworks that improve second language learning for preservice teachers, while integrating social incentives into blended learning contexts.
Department of Computer Science
The researcher has conducted extensive research across multiple domains, focusing primarily on advancing computational techniques and their applications in real-world problems. Their work spans artificial intelligence in healthcare, smart agriculture, biometrics identification, financial risk prediction, network security, data modeling, and more. Key themes include the development of novel algorithms for improving performance metrics in various fields, advancements in image enhancement and processing techniques, and innovations in data security and privacy. The researcher has demonstrated a commitment to advancing both theoretical foundations and practical applications across these areas, with contributions spanning topics from natural language processing to social sciences.