Bright Yeboah-Akowuah

Computer Engineering

About

Bright Yeboah-Akowuah is a Professional Engineer trained in United Kingdom and currently a Lecturer in the Department of Computer Engineering, KNUST-Kumasi. Bright received his BSc Telecommunication Engineering from Queen Mary, University of London in 2008. He also obtained MSc Telecommunication (Networking) from the same University, Queen Mary in 2009. In 2017, he obtained his PhD in Telecommunication Engineering from Kings College London where he specialised in antennas for body-centric communications. In 2014 he was a visiting PhD student to South University of Science and Technlogy China, Shenzhen. He is a member of Ghana Institution of Engineering.His research interest covers antennas, metasurface and metamaterials, software engineering and computer programming. Currently he lectures: Object Oriented Programming, Signals and Systems, Communication Systems, Introduction to MatLab, Introduction to Information Technology and Advanced Software Engineering.

Research Summary

(inferred from publications by AI)

The researcher has conducted extensive work in several interdisciplinary areas within physical sciences, focusing on developing innovative technologies across diverse domains. Their research encompasses advancements in IoT-based systems for agriculture, wireless body area networks (WBAN) applications, and antenna design for precise positioning and communication in biomedical and environmental fields. Additionally, they have contributed to enhancing network security and improving the efficiency of communication systems, all while exploring novel techniques in microwave imaging and smart home devices. Their work reflects a commitment to advancing cutting-edge technologies across both fundamental science and practical applications, showcasing a cohesive approach to solving complex problems in modern society.

Research Themes

All (23 Papers)

Physical Sciences (23 Papers)

All Papers

Development of IoT Based Fish Monitoring System for Aquaculture(2021)

A Q-Slot Monopole for UWB Body-Centric Wireless Communications(2017)

A UWB Antenna for Wireless Body Area Network and its Characteristics Analysis(2024)

A novel compact Planar Inverted-F Antenna for biomedical applications in the MICS band(2014)

Balanced Antipodal Vivaldi Antenna for microwave tomography(2014)

A low profile microstrip patch antenna for body-centric communications at 2.45GHz band(2015)

Study of a printed split-ring monopole for dual-spectrum communications(2021)

Novel Design of UWB Jeans Based Textile Antenna for Body-Centric Communications(2022)

Study of a Printed Split-Ring Monopole for Dual-Spectrum Communications(2021)

Q Slot Terahertz (THz) Novel Antenna Design for Wireless Communication(2021)

Novel antenna designs for body-centric applications(2017)

Blockchain-IoT peer device storage optimization using an advanced time-variant multi-objective particle swarm optimization algorithm(2022)

Indoor Propagation Model for TV White Space(2014)

An Implementation of an optimized dual-axis solar tracking algorithm for concentrating solar power plants deployment(2022)

Software-Defined Networks for Optical Networks Using Flexible Orchestration: Advances, Challenges, and Opportunities(2022)

Software-Defined Networks for Optical Networks using Flexible Orchestration : Advances, Challenges and Opportunities(2022)

Design of a fully integrated VHF CP‐PLL frequency synthesizer with an all‐digital defect‐oriented built‐in self‐test(2022)

Design of a Fully Integrated VHF CP-PLL Frequency Synthesizer with an All-Digital Defect-Oriented Built-In Self-Test.(2022)

Compact UWB antenna array for microwave imaging(2015)

Balanced Antipodal Vivaldi Antenna for Microwave Tomography(2014)

digiRESCUE: A Smart Personal Emergency Rescue System(2022)

A Six-Port Measurement Approach for High Power Microwave Vector Network Analyzer(2021)

CDBi‐LSTM: A Hybrid Deep Learning Model With Attention‐Based Fusion for Efficient DDoS Detection in IoT Environments(2025)

Collaboration Network

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Research Collaboration Map

Collaboration Frequency

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.

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