Engaging the Wave of Technology
What's on my mind these days? --- How to merge artificial intelligence and mixed reality for personal context-based adaptive and assistive interfaces?
Overview:
Alexis Morris, PhD., MSc., BCS. (Computer Science)
Dr. Morris is an assistant professor in the Digital Futures program at OCAD University, where he conducts core research on adaptive interfaces and collaborative approaches to context awareness through mixed reality, for a host of domains, including the Internet of Things. He is a specialist in the overlapping research domain of software engineering for adaptive systems based on the incorporation of fuzzy human-factors in socio-technical systems. He is involved in research bridging a cross-section of approaches in artificial intelligence (i.e., soft-computing via neural networks and fuzzy logic), virtual and augmented reality, passive brain-computer interfaces, adaptive risk management, multi-agent systems modelling, organizational culture simulations, and pervasive technologies. He also aims to impart insight into the broad impact of rapid technological advances on society, through lecturing and teaching roles that engage and inspire students.
Having a diverse research agenda, he aims to organize and enhance human-machine synergy through initiatives to further the effective adoption of artificial intelligence as a support agent for practical and long-term uses. He is also an avid futurist and techno-optimist envisioning a world where computer science mastery enables humanity to tackle the multi-faceted and important challenges facing society.
Institution:
ACE-Lab, Director -- Adaptive Context Environments
Digital Futures (LAS/SIS), OCAD University, Toronto, Ontario, Canada
- ACE-Lab focuses on research and development leadership in the Internet of Things, A.I. Assistants, Mixed Reality, & Gamification, among others.
Contact Info:
amorris_a___t_faculty_dot_ocadu_dot_ca
Former Academic Institution(s):
Post-doctoral Fellow, Cognitive Engineering Lab, Department of Mechanical and Industrial Engineering, The University of Toronto,
Adaptive Risk Management Lab, Faculty of Computer Science, The University of New Brunswick,
University of Edinburgh,
University of Trento,
Acadia University,
University of the Bahamas