Dr. Naimul Khan
Areas of Academic Interest
Machine learning
Medical imaging
Multimedia
Computer vision
Augmented reality
Virtual reality
Education
| Year | University | Degree |
|---|---|---|
| 2014 | 91心頭利 | PhD |
| 2010 | University of Windsor | MSc |
| 2008 | Bangladesh University of Engineering and Technology | BSc |
Courses Taught
| Course Code | Course |
|---|---|
| ELE 725 | Basics of Multimedia Systems |
| COE 318 | Software Systems |
| DG 8002 | Digital Media Environments |
Spotlight
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.���
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���I���ve always been interested in the practical aspect of industry collaboration and making an immediate impact, not just blue skies research.���
- Best Paper Award, IEEE International Symposium on Multimedia, 2017
- OCE TalentEdge Postdoctoral Fellowship, 2014-2016
- Ontario Graduate Scholarship, 2013-2014
- Queen Elizabeth II Scholarship in Science & Technology, 2012-2013
- B. Courtney, N.M. Khan, N.A, Kotzev. Systems and Methods for Noise Reduction in Imaging. US Patent 62/463,431, 2019.
- N.M. Khan, M. Hon, and N. Abraham. Transfer Learning with Intelligent Training Data Selection for Prediction of Alzheimer���s Disease. IEEE Access, 2019.
- N.M. Khan, R. Ksantini, and L. Guan. A Novel Image-centric Approach Towards Direct Volume Rendering. ACM Transactions on Intelligent Systems and Technology, 9(4):2-18, 2018.
- N.M. Khan, M. Kyan, and L. Guan. Intuitive Volume Exploration through Spherical Self-Organizing Map and Color Harmonization. Neurocomputing,147:160-173, 2015.
- N.M. Khan, R. Ksantini, I.S. Ahmad, and L. Guan. Covariance-guided One Class Support Vector Machine. Pattern Recognition, 47(6):2165-2177, 2014.
- Senior Member, IEEE
- Local Arrangements Chair, International Humanitarian Technology Conference (IHTC)
- Program Committee Member, ACM Multimedia, ICME and ICANN