Search, discover, and connect with over 1,800 researchers, faculty members, and scholars across all departments of KNUST.
Department of Telecommunications Engineering
The researcher investigates the role of language as a universal genetic and molecular marker for cultural transmission across diverse contexts, including evolutionary dynamics in animal behavior and cancer biology. By examining genetic variation in linguistic traits and applying evolutionary methods, they integrate findings from genetics, animal behavior, and medicine to understand how cultural change occurs through molecular processes.
Department of Telecommunications Engineering
The researcher's work focuses on the broader theme of plant resilience and stress tolerance across diverse domains. Their research encompasses various plant responses to environmental challenges, including salt stress, water stress, arsenic contamination, gaba modulation, and seed germination. Through interdisciplinary approaches combining biology, chemistry, genetics, and methodology, the researcher has developed innovative strategies to enhance plant resilience and adaptability in different environments. Their work integrates methods such as isosmotic solutions for salt stress, EDTA-mediated metal chelation for toxicology, isotonic solutions for nutrient regulation, and isometric studies of germination to address both genetic and environmental factors influencing plant health. This comprehensive approach provides a holistic understanding of how plants cope with abiotic stresses, contributing significantly to agricultural practices aimed at improving plant tolerance and productivity.
Department of Telecommunications Engineering
The researcher's work integrates technology across multiple domains to address sustainable development challenges, with a focus on enhancing technological capabilities in physical sciences while promoting inclusive growth in developing communities.
Department of Telecommunications Engineering
The researcher has developed a comprehensive approach to advancing drug discovery and biointegration through the integration of deep learning models for multi-modal data processing and computational biology techniques. Their work emphasizes the fusion of machine learning with biological data across various scales, aiming to enhance understanding of biological systems and improve therapeutic outcomes.
Department of Telecommunications Engineering
The researcher's work integrates advancements in Antenna Design and Analysis, MIMO Systems Optimization, Artificial Intelligence, and Network Security within Real-World Applications, showcasing innovative solutions across domains such as Smart Home Systems, IoT-based Networks, and Healthcare.
Department of Telecommunications Engineering
Their work spans multiple domains using diverse techniques and methodologies. In Sentiment Analysis, they employ BERT-based models for emotion detection. In Image Retrieval, wavelet feature extraction is used for efficient image classification. For Smart Agriculture, deep learning methods are applied to disease detection. In IoT and Edge Computing, real-time strategies ensure efficient resource utilization. Their research in E-commerce demonstrates the application of advanced computational techniques in real-world scenarios. Additionally, their contributions to AI in cancer detection highlight innovative approaches combining methodologies across various scientific fields.
Department of Telecommunications Engineering
This researcher focuses on integrating molecular and cellular mechanisms that govern biological processes at various scales, ranging from developmental biology to evolutionary quantitative genetics. Their work spans diverse organisms, combining approaches in molecular biology, genetics, and biophysics to address fundamental questions about growth, adaptation, and disease.
Department of Telecommunications Engineering
The researcher's work spans multiple domains of wireless communication technologies, focusing on advancements in software-defined networking (SDN) and 5G networks, cybersecurity for critical infrastructure, and IoT device security. Their research encompasses themes such as network security frameworks addressing DDoS attacks, intrusion detection systems for smart grids, lightweight messaging protocols for IoT devices, privacy-preserving algorithms in sensor networks, and energy-efficient designs across diverse applications like SDNs, fog networks, and wireless communication technologies. The researcher also investigates advanced photonic systems and explores machine learning techniques like reinforcement learning and K-means clustering in their work on localization and anomaly detection. Their research highlights innovations in security frameworks, network optimization, privacy-focused approaches, and the application of advanced physical models to improve network performance and reliability across all these domains.
Department of Telecommunications Engineering
Recent advancements across various domains are significantly advancing our understanding and capabilities, particularly in addressing complex societal challenges. Innovations in communication technologies have improved efficiency and coverage, paving the way for more robust networks. The integration of renewable energy sources has enabled the development of smart grids that promote sustainable energy access and resilience. As technology evolves, it not only enhances our technological landscape but also addresses pressing societal issues such as climate change and social welfare through innovative solutions. From antenna design miniaturization to IoT applications and cybersecurity, these developments highlight a collaborative effort across disciplines aimed at solving global challenges with cutting-edge research.
Department of Telecommunications Engineering
The researcher has explored multiple areas within the physical sciences, focusing on network security through deep learning, detection mechanisms for resource-constrained IoT devices using machine learning, MITM attacks, blockchain applications in industrial internet of things, energy-efficient wireless sensor networks, smart agriculture, and software-defined networking. They also investigated theoretical frameworks such as link load balancing with cat swarm optimization and information and cyber security aspects, including secure network architectures and data integrity solutions for IoT and Vehicular Ad Hoc Networks (VANETs). Their work integrates diverse technologies across domains to address challenges in security, efficiency, and performance, highlighting the interdisciplinary nature of modern research.
Department of Telecommunications Engineering
This researcher has contributed significantly to advancements in electromagnetic compatibility, advanced wireless communication technologies, antenna design, and MIMO network optimization. Through innovative studies in cooperative relay NOMA systems, IRS-assisted communication, electromagnetism radiation exposure evaluation, and MIMO system optimization, the researcher has focused on enhancing performance across diverse domains within physical sciences. Their work underscores a cohesive approach to improving wireless systems through comprehensive investigations of electromagnetic compatibility, advanced coding schemes, efficient network design, and robust optimization techniques.
Department of Telecommunications Engineering
This researcher has made significant contributions across multiple domains of physical sciences, focusing on advancing optical communication systems, wireless technologies, and urban wireless networks. Their work spans diverse research areas such as advanced photonic communication systems, innovative wireless communication technologies, advancements in mm-wave propagation modeling, and comprehensive evaluations of 3G mobile networks. Through their exploration of OFDM-based systems, cooperative relay techniques, and LTE performance in complex environments like urban and suburban settings, the researcher has demonstrated a commitment to pushing the boundaries of modern communication systems and their applications in real-world scenarios.