معرفی
Dr. Alexis Morris is an Associate Professor in the Digital Futures program at OCAD University's Faculty of Arts & Science, holding a tenured position. He is the director of the Adaptive Context Environments (ACE) Lab and a 2018-2023 Canada Research Chair (Tier II) in the Internet of Things. His research focuses on adaptive systems that integrate fuzzy human factors into socio-technical systems, emphasizing context-aware interfaces in mixed reality environments. Morris' work bridges artificial intelligence, virtual/augmented reality, and IoT to enhance human-machine collaboration, with applications ranging from workplace safety to global family connectivity through mixed reality shared experiences.
Education:
- PhD in Computer Science, University of New Brunswick (2016)
- European Master of Informatics, University of Edinburgh & University of Trento (2008)
- Bachelor of Computer Science, Acadia University (2006)
- Associate of Accounting, University of the Bahamas (2000)
Research Interests: Dr. Morris investigates adaptive interfaces, cross-reality systems (XR), and IoT integration to create hyper-connected smart environments. His work emphasizes human-centric design principles, exploring how technologies like mixed reality can address societal challenges such as workplace ergonomics, cultural preservation through augmented museums, and child well-being via educational agents. He also examines legal and ethical frameworks for AI and HRI systems, ensuring compliance with evolving societal needs.
Professional Contributions:
- Member of IEEE and ACM
- Former Post-doctoral Research Fellow at the University of Toronto's Cognitive Engineering Lab
- Pioneer in developing frameworks like 'Extended-XRI' and 'ACE' for adaptive systems
Labs/Teams: As ACE Lab director, Morris leads interdisciplinary research in IoT-MR convergence, creating tools like MRsive (for museum engagement) and Emissary Educator (for child-focused XR education). The lab also explores cross-cultural artifact representation in museums through AR and policy-as-a-service frameworks for trustworthy AI systems.
