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Naimul Khan

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EducationPhD, Âé¶¹ÊÓÆµ
Areas of ExpertiseSignal Processing, Medical Imaging, Machine Learning, Augmented/Virtual Reality

 

Naimul Khan is an associate professor and Researcher in Electrical and Computer Engineering at Âé¶¹ÊÓÆµ with a cross-appointment at the Creative School (Digital Media). He is the director of the Âé¶¹ÊÓÆµ 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.

 

Projects