Search, discover, and connect with over 1,800 researchers, faculty members, and scholars across all departments of KNUST.
Department of Animal Science
This researcher has developed innovative methods in machine learning, particularly focusing on adapting models for dynamic environments. Their work emphasizes robust learning frameworks that improve generalization across various datasets and domains. They also utilize advanced optimization techniques to enhance inference efficiency, enabling real-time applicability in resource-constrained scenarios. Their research integrates theoretical foundations with empirical validations, aiming to create practical solutions that balance model interpretability and computational feasibility.
Department of Animal Science
The researcher's focus centers on enhancing chicken egg quality through genetic manipulation, improving flock reproductive performance by optimizing feed withdrawal times and minimizing hypoxic effects, advancing efficient hatchery development, and exploring innovative use of organisms like the puff adder for beneficial agricultural practices. They are also deeply involved in understanding hypoxia-induced health impacts on birds and employing microbial enrichment techniques to boost poultry production, contributing to both scientific advancements and practical applications in agriculture and nutrition.
Department of Animal Science
This researcher has a interdisciplinary approach, integrating pure mathematics with its applications across various fields. Their work spans algebraic topology and geometric analysis, employing techniques such as sheaf theory and higher category theory. Through these methods, they explore the interplay between geometry and physics, contributing to both theoretical advancements and practical problem-solving across different domains. Notable contributions include studies in differential equations and topological spaces, supported by key papers from diverse areas. Their research underscores the unity of mathematics, demonstrating how innovative techniques can address complex problems at the intersection of pure and applied sciences.
Department of Animal Science
The researcher's work investigates how Bayesian inference underpins decision-making processes, examines gazing behavior's role in cognitive functions, explores foveal processing in visual perception, and studies eye movement patterns linked to early sensory processing. This comprehensive study integrates psychological principles with neural mechanisms, particularly focusing on the interplay between attention and human cognition across various domains.
Department of Animal Science
The researcher's work is comprehensive, addressing multiple facets of health sciences. Their research focuses on antimicrobial resistance and its management across Staphylococcus, exploring predictors and outcomes in Ontario. They also delve into uinary tract infections management through antibiotic use and prophylaxis studies. Additionally, they investigate bacterial identification methods and their impact on Enterococcus positivity rates. The researcher employs a comparative approach to validate antibiotic prescribing databases and examines the long-term effects of patient sharing on C. difficile incidence. Their work aims to enhance understanding and improve healthcare strategies across domains of antimicrobial resistance, uinary tract infections, bacterial identification, antibiotic use, and healthcare policy.
Department of Animal Science
The researcher's work focuses on advancing interpretable machine learning models for predictive healthcare analytics, particularly in leveraging deep learning techniques for disease progression prediction and treatment response estimation. Their innovative approach emphasizes algorithmic fairness, ensuring that AI systems are transparent and trustworthy in medical applications, with a diverse dataset of diverse healthcare outcomes from various disease domains. By developing scalable computational methods optimized for large-scale data processing, the researcher contributes to precision medicine by enhancing decision-making through accurate predictive modeling.
Department of Animal Science
This researcher has demonstrated a comprehensive approach to understanding complex biological systems across diverse disciplines. Their work integrates insights from molecular biology, cancer biology, and environmental science, highlighting a multidisciplinary framework that spans genetic mechanisms, systemic disease modeling, and ecological impacts. Through systematic reviews of multiple publications, they have elucidated key themes in their research, emphasizing the interconnectedness of these fields in advancing our understanding of health and complexity.
Department of Animal Science
The researcher's work focuses on the evolution of bacterial populations, exploring mechanisms such as genetic diversity, interaction networks, and adaptation through molecular communication and population structure analysis.
Department of Animal Science
The researcher's work focuses on the study of cancer-related molecular pathways in health sciences, particularly examining the role of p53 in promoting tumor progression through its signaling networks. Key findings include how mutant p53 activates AKT through the Rac1 pathway to promote tumorigenesis and highlights the importance of p53-SUMOylation in modulating these pathways, providing insights into cancer development and potential therapeutic targets.
Department of Animal Science
This researcher focuses on advancing the understanding of composite food materials by investigating their physicochemical and functional properties, particularly in the context of improving food safety and developing healthier foods. Their work explores enhancing the quality and usability of composite flour products, such as those derived from plant roots like *Samanea saman*, and their applications in bread production, aiming to contribute to both health sciences and life sciences through innovative technological advancements.
Department of Animal Science
The researcher has focused on enhancing egg production in domestic chickens across various regions and environmental conditions, particularly examining the effects of thermo-regulatory and heat-tolerant gene incorporation in breeding exotic layers. This work aims to improve egg output while considering local and environmental factors, contributing to more efficient poultry farming practices.
Department of Animal Science
The integration of technology across diverse fields such as education, healthcare, arts, and more has emerged as a prominent theme in recent publications. Ghana and Kumsho (Kumasi) have become hubs for technology adoption, reflecting broader trends toward digital transformation across various sectors. Several key research pillars emerge from these areas, including the impact of AI on learning, distance learning strategies for effectiveness, the role of electronic resources in education analysis, and innovative pedagogical methods. These themes highlight advancements and specific focuses within each domain, with notable studies emphasizing Ghana's technological influence and Kumsho's role as a hub for educational innovation.