معرفی
Professor Mike Wald serves as a Professorial Fellow in Education at the University of Southampton's Faculty of Engineering and Physical Sciences, Department of Electronics and Computer Science. His work bridges cutting-edge technology with real-world accessibility challenges through the Web and Internet Science research group.
Wald's research spans Accessibility Technology, Artificial Intelligence, and Human-Computer Interaction, with particular focus on assistive technologies for disabled communities. His work integrates natural language processing for text simplification, recommender systems for outdoor tourism, and AI-driven adaptations for augmentative communication. Current projects examine autonomous vehicle trust perception and context-aware climbing recommendation systems, demonstrating his interdisciplinary approach spanning computer science, health informatics, and social inclusion.
His recent publications reveal strong trends in applied AI for social good, particularly in disability inclusion and outdoor accessibility. The research consistently combines technical innovation with user-centered evaluation, often focusing on visually impaired and communication-disabled populations. Key methodological themes include practical metric development, contextual integration in recommender systems, and real-world deployment challenges.
Professor Wald actively supervises postgraduate researchers including PhD candidate Yue Zheng in Computer Science. His research is supported by major funders including EPSRC, European Union (H2020/FP7), Qatar National Research Fund, and the Alan Turing Institute through projects like SemanticNews, Net4Voice, SlideWiki, and Michelangelo.
As a recognized expert, Wald has delivered keynote addresses including "Building Rating System for Indoor Navigation by Blind People" (2018) and "How AI can overcome barriers to inclusion" (2021), demonstrating his leadership in translating research into practical accessibility solutions.
