Profile
Naimul Khan is an associate professor and Researcher in Electrical and Computer Engineering at Toronto Metropolitan University with a cross-appointment at the Creative School (Digital Media). He is the director of the TMU Multimedia Research Laboratory. His interdisciplinary work spans artificial intelligence, physiological signal processing, and immersive technologies, with applications in health, accessibility, and human-computer interaction. He leads projects that integrate multimodal data (such as EEG, ECG, and video) with machine learning to develop real-time, personalized systems for emotion recognition, digital mental health, and therapeutic VR. Khan collaborates with hospitals, private sector partners, and academic institutions across Canada, contributing to initiatives like AI-assisted mental health triage and therapeutic digital experiences. He is actively involved in training the next generation of researchers through graduate supervision, cross-sector internships, and major funding programs such as NSERC, SSHRC, and NFRF.
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Build a Bridge Workshop 3: How to design and develop your AI solution & Regulatory and ethical considerations in designing an AI solution This hybrid workshop is the third in the Build a Bridge Program and Competition series, designed to empower participants to tackle immigrant integration challenges using AI and digital tools. The session features two hands-on segments led by Radin Hamidi Rad and Naimul Khan (Toronto Metropolitan University) that walk attendees through the process of developing an AI project from scratch. The day concludes with a focused session on navigating regulatory and ethical considerations in AI solution design, presented by Isar Nejadgholi (National Research Council Canada). This workshop enables students to enhance their technical problem-solving skills while learning to apply responsible innovation for social impact.
Other Toronto Metropolitan University, Government of Canada Event 2024-09-24 Other Ultrasound Radiomics Correlating With Clinical Markers for Enhanced Detection of Placenta Accreta Spectrum Toronto Metropolitan University Publication 2025-07-01 Dylan Young,
Khan, N. , Sebastian R Hobson, Dafna Sussman
Accelerate - Industrial Research & Development Internship (IRDI) TRS4 4.1 Toronto Metropolitan University Grant 2025-07-18 TRS4 4.1 AI for Personalized Youth Mental Health: Linguistic Insights from Kids Help Phone TRS4 4.1 Toronto Metropolitan University Grant 2025-05-14 TRS4 4.1 Pilot Observatory The team at TMU working with the team at U of A has develop a pilot version of the Observatory. TRS4 4.1 Toronto Metropolitan University, University of Alberta Research Output 2025-12-10 TRS4 4.1 Deployed observatory We have deployed the observatory at https://idio.bridgingdivides.ca/TRS4 4.1 Toronto Metropolitan University Research Output 2026-04-20 TRS4 4.1 IDIO Presented IDIO demo at the winter retreatTRS4 4.1 Toronto Metropolitan University Event 2026-04-20 TRS4 4.1 IDIO demo Presented IDIO demo at the BD spring retreatTRS4 4.1 Toronto Metropolitan University Event 2026-03-26 TRS4 4.1 IDIO booth and demo Presented IDIO at a booth at the CERC/GMI conferenceTRS4 4.1 Toronto Metropolitan University Event 2026-04-17 TRS4 4.1 Glucose Vision Other Toronto Metropolitan University Grant 2026-01-01 Other Generative AI for Simulated Conversations: Preparing Frontline Workers and Volunteers to Support Youth with Anxiety and Depression Other Toronto Metropolitan University Grant 2026-01-01 Other Industrial Research & Develoment Internship (IRDI): AI-assisted segmentation and analysis of intestinal ultrasound for Inflammatory Bowel Disease Other Toronto Metropolitan University Grant 2026-08-13 Other Alliance Advantage Grants: AI-assisted segmentation and analysis of intestinal ultrasound for Inflammatory Bowel Disease Other Toronto Metropolitan University Grant 2025-09-30 Other One session, infinite Support: Leveraging generative AI for delivering effective single-sessioncrisis support and counseling in youth with anxiety and depression Other Toronto Metropolitan University Grant 2025-08-01 Other Artificial Intelligence for Patent Ductus Arteriosus Ultrasound Shunt Estimation (AI-PULSE) Other Toronto Metropolitan University Grant 2025-04-01 Other A proposed mobile application for automated, low cost kinematic analyses in sports for injury risk detection and movement optimization Other Toronto Metropolitan University Grant 2024-10-14 Other An intelligent framework for scalable sign language synthesis Other Toronto Metropolitan University Grant 2024-05-13 Other FetAS: Fetal Assessment Suite to Facilitate Rapid Fetal MRI Diagnosis using Artificial Intelligence Other Toronto Metropolitan University Grant 2023-10-01 Other Building a Deep-Learning Healthcare System in Child and Youth Mental Health - Amendment Other Toronto Metropolitan University Grant 2023-09-01 Other QuantOmics: AI-Driven Quantum Sensing and Genomics for Precision Therapeutics Other Toronto Metropolitan University Grant 2026-04-01 Other NSERC CREATE Matching: QuantOmics: AI-Driven Quantum Sensing and Genomics for Precision Therapeutics Other Toronto Metropolitan University Grant 2026-04-01 Other
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