Lab Work
CPSL
CPSL
CPSL
I am pursuing my PhD in Computer Science at Toronto Metropolitan University, where I study biologically inspired systems, artificial intelligence, and synthetic intelligence in the Computational Public Safety Lab. Building on a classical training in robotics and AI, my research now focuses on next-generation, human-in-the-loop systems designed to extend human capability rather than replace it.
From developing robotic arms that support people with diminished mobility to designing adaptive platforms for disaster response, my work centers on the theme of augmenting human ability—creating collaborative tools that allow people to accomplish more safely and effectively in environments where traditional machines fall short.
I am pursuing my PhD in Computer Science at Toronto Metropolitan University, where I study biologically inspired systems, artificial intelligence, and synthetic intelligence in the Computational Public Safety Lab. Building on a classical training in robotics and AI, my research now focuses on next-generation, human-in-the-loop systems designed to extend human capability rather than replace it.
From developing robotic arms that support people with diminished mobility to designing adaptive platforms for disaster response, my work centers on the theme of augmenting human ability—creating collaborative tools that allow people to accomplish more safely and effectively in environments where traditional machines fall short.
Overview
Overview
If you’d like to learn more about my work, visit me on the Toronto Metropolitan University Faculty site. There, you’ll find details on my research in biologically inspired robotics and next-generation AI systems, where the unifying theme is augmenting human ability. From disaster-response platforms designed to keep first responders safe, to assistive robotic arms that support people with diminished mobility, my projects explore how human–in-the-loop robotics can extend what we’re capable of—safely, adaptively, and in collaboration with machines.
DrMaz.ai
Lab Work
CPSL
I am pursuing my PhD in Computer Science at Toronto Metropolitan University, where I study biologically inspired systems, artificial intelligence, and synthetic intelligence in the Computational Public Safety Lab. Building on a classical training in robotics and AI, my research now focuses on next-generation, human-in-the-loop systems designed to extend human capability rather than replace it.
From developing robotic arms that support people with diminished mobility to designing adaptive platforms for disaster response, my work centers on the theme of augmenting human ability—creating collaborative tools that allow people to accomplish more safely and effectively in environments where traditional machines fall short.
Overview
Overview
If you’d like to learn more about my work, visit me on the Toronto Metropolitan University Faculty site. There, you’ll find details on my research in biologically inspired robotics and next-generation AI systems, where the unifying theme is augmenting human ability. From disaster-response platforms designed to keep first responders safe, to assistive robotic arms that support people with diminished mobility, my projects explore how human–in-the-loop robotics can extend what we’re capable of—safely, adaptively, and in collaboration with machines.
Overview
Overview
If you’d like to learn more about my work, visit me on the Toronto Metropolitan University Faculty site. There, you’ll find details on my research in biologically inspired robotics and next-generation AI systems, where the unifying theme is augmenting human ability. From disaster-response platforms designed to keep first responders safe, to assistive robotic arms that support people with diminished mobility, my projects explore how human–in-the-loop robotics can extend what we’re capable of—safely, adaptively, and in collaboration with machines.