Nilanjan Ray, PhD

Area of Study / Keywords

Computer vision Image analysis Medical image processing Deep learning

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About

I joined Computing Science, University of Alberta as an Assistant Professor in 2006. I was promoted to Associate Professor in 2013.

Education

• B.Engg., Mechanical Egnineering, Jadavpur University, India, 1995 
• M.Tech., Computer Science, Indian Statistical Institute, India, 1997 
• Ph.D., Electrical Engineering, University of Virginia, USA, 2003

Associate Editor

• IEEE Transactions on Image Processing (2013-2017)
• IET Image Processing (2016-2022)

General Co-chair

• 2017 AI/GI/CRV Conference, Edmonton

Books Co-authored

• Scott T. Acton and Nilanjan Ray, Biomedical image analysis: Tracking. Morgan & Claypool Publishers, 2006.
• Scott T. Acton and Nilanjan Ray, Biomedical image analysis: Segmentation. Morgan & Claypool Publishers, 2009.

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Research

Area

Computer vision and deep learning; image and video analysis, medical image processing

Interests

Medical image and video analysis and general computer vision problems including segmentation, registration, object detection and classification.

Projects

• Pedestrian and vehicle counting
• Microscopy image and video segmentation and registration
• Breast cancer histopathology image analysis
• Oilsand slurry image and video analysis
• Non-invasive blood pressure monitoring
• Brain tumor localization

CMPUT 206 - Introduction to Digital Image Processing

An introduction to basic digital image processing theory, and the tools that make advanced image manipulation possible for ordinary users. Image processing is important in many applications: editing and processing photographs, special effects for movies, drawing animated characters starting with photographs, analyzing and enhancing remote imagery, and detecting suspects from surveillance cameras. Image processing concepts are introduced using tools like Photoshop and GIMP. Exposure to simple image processing programming with Java and MATLAB. This course is preparation for more advanced courses in the Digital Media area. Prerequisites: Any introductory-level Computing Science course, plus knowledge of introductory-level MATH and STAT; or consent of the instructor or SCI 100. Open to students in the Faculty of Arts, Engineering and Sciences; others require consent of the instructor.

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Browse more courses taught by Nilanjan Ray

Sayan Ghosal, Nilanjan Ray

Pattern Recognition Letters. 94

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Nilanjan Ray, Sara McArdle, Scott T. Acton, Klaus Ley

IEEE Journal of Biomedical and Health Informatics.. 20 (6):1575 - 1584

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Baidya Nath Saha, Nilanjan Ray, Russell Greiner, Albert Murtha, Hong Zhang

Computerized medical imaging and graphics. 36 (2):95-107

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Homa Foroughi, Nilanjan Ray, and Hong Zhang

Pattern Recognition. 48 (10):3038-3052

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Satarupa Mukherjee, Stephani Gil, Nilanjan Ray

The Visual Computer. 31 (10):1405-1417