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 building blocks and fundamental algorithms of image processing operations are introduced using Python libraries. Prerequisites: one of CMPUT 101, 174, or 274; one of MATH 100, 114, 117, 134, 144, or 154; and one of STAT 151, 161, 181, 235, 265, SCI 151, or MATH 181.

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CMPUT 328 - Visual Recognition

Introduction to visual recognition to recognize objects and classify scenes or images automatically by a computer. Supervised and unsupervised machine learning principles and deep learning techniques will be utilized for visual recognition. Successful commercial systems based on visual recognition range from entertainment to serious scientific research: face detection and recognition on personal devices, social media. Prerequisites: CMPUT 175 or 275; one of MATH 100, 114, 117, 134, 144, or 154; one of MATH 102, 125, or 127; and one of STAT 151, 161, 181, 235, 265, SCI 151, or MATH 181.

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CMPUT 607 - Topics in Computing Science

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MM 803 - Image and Video Processing

Quality assessment of image and video (or 3D data) is essential in many applications, which deliver educational content, medical images, games, movies, video-on-demand and so on. In order to generate high quality image and video, especially given the sheer volume of consumer demand and under constrained resources, e.g., time and bandwidth, it is necessary to understand the image and video processing pipeline from the initial creation limitations to the final display at the receiver. This course focuses on reviewing various image/video processing techniques, as well as the quality assessment metrics proposed in the literature. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

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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