Gabriel Kabanda · Researcher · Max Robotics

About

Gabriel Kabanda is a forward-thinking researcher at the intersection of cybersecurity, artificial intelligence, and emerging digital worlds. His work primarily explores how AI paradigms—including machine learning and Bayesian networks—can fortify cybersecurity systems against increasingly sophisticated threats. Kabanda’s most-cited paper, “A Cybersecurity Model for a Roblox-based Metaverse Architecture Framework” (2022, 15 citations), breaks new ground by addressing security challenges in immersive virtual environments, a critical area as the Metaverse expands beyond science fiction into everyday use. He has also contributed foundational insights into AI-driven network detection and prevention systems (2020, 5 citations) and developed Bayesian network models to enhance cyber defense mechanisms (2020, 5 citations). Demonstrating remarkable breadth, Kabanda extends his expertise to data-driven economic development, proposing a Big Data Analytics Architecture Framework to boost production and trade of oilseeds and textiles in Sub-Saharan Africa (2023). His work bridges cutting-edge technology with real-world impact, making him a notable voice in both cybersecurity and applied data science.