Nilanjan Ray, PhD

Professor, Faculty of Science - Computing Science


Professor, Faculty of Science - Computing Science
406 Athabasca Hall
9119 - 116 St NW
Edmonton AB
T6G 2E8


Area of Study / Keywords

Computer vision Image analysis Medical image processing Deep learning


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


  • 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.



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


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


  • 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


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.

Fall Term 2021

Browse more courses taught by Nilanjan Ray


Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net
Author(s): Sayan Ghosal, Nilanjan Ray
Publication: Pattern Recognition Letters
Volume: 94
Page Numbers: 81–86
External Link:
MISTICA: Minimum Spanning Tree-based Coarse Image Alignment for Microscopy Image Sequences
Author(s): Nilanjan Ray, Sara McArdle, Scott T. Acton, Klaus Ley
Publication: IEEE Journal of Biomedical and Health Informatics.
Volume: 20
Issue: 6
Page Numbers: 1575 - 1584
External Link:
Quick detection of brain tumors and edemas: A bounding box method using symmetry
Author(s): Baidya Nath Saha, Nilanjan Ray, Russell Greiner, Albert Murtha, Hong Zhang
Publication: Computerized medical imaging and graphics
Volume: 36
Issue: 2
Page Numbers: 95-107
External Link:
Robust people counting using sparse representation and random projection
Author(s): Homa Foroughi, Nilanjan Ray, and Hong Zhang
Publication: Pattern Recognition
Volume: 48
Issue: 10
Page Numbers: 3038-3052
External Link:
Unique people count from monocular videos
Author(s): Satarupa Mukherjee, Stephani Gil, Nilanjan Ray
Publication: The Visual Computer
Volume: 31
Issue: 10
Page Numbers: 1405-1417
External Link: