Chukwunonso Henry Nwokoye holds a Ph.D. in Computer Science, wherein he studied malware propagation and containment in networks using epidemic mathematical and agent-based modeling (ABM) approaches. His doctoral studies proposed model modifications and adaptations to address ignored or overlooked (but critical) phenomena and factors of wireless sensor networks (WSNs). Beyond extending his work with ABMs, he has conducted vulnerability predictions using machine learning and deep learning algorithms.
He also has honed interests and requisite skills in human-computer interaction (HCI), commencing with investigating the topicality of agent-based modelling in HCI. In computer-supported cooperative work (CSCW), he explored coordination and support through mobile collaborative technologies; while for accessibility research, he conducted web audits for conformance to accessibility guidelines. Other areas of work in HCI include application development (mobile, desktop) and its user studies, culture context heuristics, and assessment of behavioural intention to use applications (web, mobile) using information theories such as the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (or UTAUT), etc.
Chukwunonso has a Master’s degree in Information Technology, and his areas of expertise include machine learning, information system (MIS, model-driven DSS) development, database administration and management, cybersecurity, networking, and cloud computing. Chukwunonso is highly devoted to technology advancement through research and aims to significantly impact the disciplines of explainable AI (XAI) and HCI, with a focus on accessibility and people with disabilities.