Naimul Khan
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.
Selected Publications
Logie, C. H., Okumu, M., Admassu, Z., MacKenzie, F., Gittings, L., Kortenaar, J. L., ... & Mbuagbaw, L. (2025). Findings from the Tushirikiane-4-MH (supporting each other for mental health) mobile health–supported virtual reality randomized controlled trial among urban refugee youth in Kampala, Uganda. Cambridge Prisms: Global Mental Health, 12, e12.
Imtiaz, M. N., & Khan, N. (2025). Enhanced cross-dataset electroencephalogram-based emotion recognition using unsupervised domain adaptation. Computers in Biology and Medicine, 184, 109394.
Ahmad, Z., Rabbani, S., Zafar, M. R., Ishaque, S., Krishnan, S., & Khan, N. (2023). Multilevel stress assessment from ECG in a virtual reality environment using multimodal fusion. IEEE Sensors Journal, 23(23), 29559-29570.