Naimul Khan
Associate Chair, Graduate Studies
Associate Professor
Co-Director, Ryerson Multimedia Research Laboratory
Researcher, Institute for Biomedical Engineering, Science and Technology (iBEST)
Faculty of Engineering and Architectural Science
Department of Electrical, Computer, and Biomedical Engineering
Toronto, Ontario
n77khan@torontomu.ca
Office:
(416) 979-5000 ext. 556479
Expert In
Artificial intelligence for COVID-19 monitoring
Augmented reality
Computer graphics
Computer vision
Computer-aided diagnosis of COVID-19
Culture and creativity
Human-computer interaction
IBEST
Image processing
Interactive methods for visual computing
Medical imaging
Multimedia communication
Neural networks
Quantum software and responsible AI/machine learning
Statistical machine learning
Technology and intelligent systems
Theme: Health and wellbeing
Theme: Arts, culture and creativity
Theme: Transformative technology
Virtual reality
Bio/Research
Where Naimul Khan is today is a product of chance, beginning during his master’s studies. It was then that he attended a professor’s dinner party and happened to overhear a conversation about a research chair who was running a large-scale multimedia lab at Ryerson. Khan hadn’t considered graduate...
Click to Expand >>
Click to Expand >>
Bio/Research
Where Naimul Khan is today is a product of chance, beginning during his master’s studies. It was then that he attended a professor’s dinner party and happened to overhear a conversation about a research chair who was running a large-scale multimedia lab at Ryerson. Khan hadn’t considered graduate studies at Ryerson, but that research chair would become his PhD supervisor. “He invited me to visit his virtual reality lab, which he uses to wow his PhD students,” says Khan, laughing. “I was sold right away.”
During Khan’s first year at Ryerson, yet another chance encounter charted the path of his research. A five-minute conversation about manual image processing techniques used in cranial drilling sparked something in the PhD candidate. “I was still scratching my head about what topic to do. That’s where I got the idea that we can actually automate this process using machine learning and artificial intelligence.”
Now co-director of the very lab that brought him to Ryerson, Khan’s research in the areas of augmented reality, virtual reality and machine learning speaks to his interest in practical implementation. “I can not only develop the algorithms but also demonstrate them. Augmented reality and virtual reality work as the medium to show what algorithms can do.”
Click to Shrink <<
During Khan’s first year at Ryerson, yet another chance encounter charted the path of his research. A five-minute conversation about manual image processing techniques used in cranial drilling sparked something in the PhD candidate. “I was still scratching my head about what topic to do. That’s where I got the idea that we can actually automate this process using machine learning and artificial intelligence.”
Now co-director of the very lab that brought him to Ryerson, Khan’s research in the areas of augmented reality, virtual reality and machine learning speaks to his interest in practical implementation. “I can not only develop the algorithms but also demonstrate them. Augmented reality and virtual reality work as the medium to show what algorithms can do.”
Click to Shrink <<