Distinguished researcher and educator specializing in cybersecurity, network security protocols, and artificial intelligence applications in security systems at the University of Mines and Technology (UMaT), Ghana.
Dr. Felix Larbi Aryeh serves as a Senior Lecturer in the Department of Computer Science and Engineering at the University of Mines and Technology, Tarkwa, Ghana. He is a Licensed Professional Engineer with the Institution of Engineering and Technology, Ghana, bringing both academic rigor and professional expertise to his role. His research portfolio encompasses cutting-edge areas including wireless and wired network security, web applications and internet technologies, cybersecurity frameworks, machine learning applications, and open-source security solutions.
In his capacity as Faculty Training Officer for the Computer Science and Engineering Department, Dr. Aryeh demonstrates leadership in academic development while maintaining an active research agenda that contributes significantly to the advancement of cybersecurity knowledge and practice.
University of Mines and Technology (UMaT)
Kwame Nkrumah University of Science and Technology, Kumasi (KNUST)
University of Ghana, Legon-Accra (UG)
Prestigious institutional recognition acknowledging outstanding academic performance and commitment to professional development in higher education
Distinguished university-wide recognition for exceptional innovative contributions to institutional excellence and academic advancement
Current position in Computer Science and Engineering Department
Advanced to senior academic position
Focused on research and academic development
Early career research and teaching responsibilities
Advanced research in cybersecurity frameworks, comprehensive threat modeling, vulnerability assessment, and the development of robust security implementation strategies for contemporary computing infrastructures.
Specialized research in network security protocols, intrusion detection systems, and comprehensive vulnerability assessment methodologies for heterogeneous network environments encompassing both wireless and wired infrastructures.
Research and development in secure web application architectures, internet protocol security enhancements, and the integration of emerging web technologies with robust security frameworks.
Investigation and application of advanced machine learning algorithms for cybersecurity threat detection, predictive analytics, and the development of intelligent autonomous security systems.
Development and optimization of open-source security solutions, including web application frameworks and firewall systems, contributing to the global cybersecurity community through accessible and transparent security technologies.
Interdisciplinary research examining human-computer interaction paradigms, with emphasis on user experience optimization, interface design principles, and accessibility in computing systems.
Advanced research in computer graphics algorithms, data visualization methodologies, and the development of intuitive graphical user interfaces for complex computing applications.
Pioneering research in artificial intelligence applications for cybersecurity enhancement, process automation, and the design of intelligent adaptive systems for complex problem-solving scenarios.
Dr. Aryeh has made substantial contributions to the scholarly community through an extensive portfolio of peer-reviewed publications in high-impact journals and international conferences. His interdisciplinary research encompasses network security, automated systems design, educational technology, and intelligent transportation systems, demonstrating both theoretical depth and practical application.
Dr. Aryeh maintains a pedagogical approach centered on excellence in computer science education, emphasizing the seamless integration of theoretical foundations with practical applications. His instructional methodology prioritizes experiential learning opportunities that effectively prepare students to address contemporary challenges in cybersecurity, software engineering, and emerging technologies.
Advanced graduate-level course examining contemporary network security protocols, comprehensive threat modeling, vulnerability assessment methodologies, and strategic security implementation frameworks for enterprise environments.
Foundational course introducing core cybersecurity principles, risk assessment frameworks, security governance, and comprehensive security management practices aligned with international standards.
Specialized course exploring the application of advanced machine learning algorithms in cybersecurity threat detection, predictive analytics, and intelligent security system development.
Comprehensive course examining computer architecture principles, advanced system design methodologies, performance optimization techniques, and scalability considerations for modern computing systems.
University of Mines and Technology (UMaT)
Computer Science and Engineering Department
Tarkwa, Ghana
Computer Science Department
University of Mines and Technology
Monday - Friday: 9:00 AM - 5:00 PM
Research consultations and graduate supervision by appointment