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Showing 25-27 of 27 researchers in Department of Computer Science
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Rose-Mary Owusuaa Mensah Gyening

Rose-Mary Owusuaa Mensah Gyening

Department of Computer Science

The researcher has conducted extensive work across multiple domains, blending advanced AI techniques with applications in life sciences and physical sciences. Their focus is on integrating innovative solutions to address complex real-world challenges, from advancing agricultural innovations using smart technologies to developing robust data security frameworks for secure data handling. The researcher's work also extends into the realm of healthcare, employing cutting-edge AI for disease detection and management, as well as improving environmental monitoring through anomaly detection systems and predictive analytics. Their overarching theme is the intersection of AI across diverse fields to address challenges in agriculture, health, environment, and social sciences, showcasing a commitment to practical solutions that enhance technology's impact on society.

Mosquito-borne diseases and control
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Identification and Quantification in Food
22 pubs18 themes
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Rosindra Nibie

Rosindra Nibie

Department of Computer Science

This researcher has made significant contributions to understanding strategic decision-making through game-theoretic models, developing novel frameworks that apply theoretical insights across diverse contexts. Their work has demonstrated the practical impact of these methods in real-world applications, bridging the gap between theory and practice. Collaborative efforts with experts have enhanced the robustness of their approaches, while ongoing research explores the long-term societal benefits of such strategic interactions.

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Yaw Marfo Missah

Yaw Marfo Missah

Department of Computer Science

The researcher's work spans a broad range of interdisciplinary fields, combining advancements in AI with applications across various domains. Their research focuses on leveraging intelligent systems for environmental and medical challenges, developing novel techniques for analyzing emotional states using linguistic models, addressing security concerns through encryption and network solutions, advancing big data analytics in different contexts, enhancing cloud computing security for better decision-making, improving the effectiveness of educational technologies, and employing innovative approaches to ensure privacy. Their work reflects a commitment to overcoming technical and societal barriers across healthcare, education, power systems, and environmental sciences.

Cryptography and Data SecurityEmotion and Mood Recognition
45 pubs26 themes
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