Nilanjan Ray, PhD

Contact

Professor, Faculty of Science - Computing Science

Email: nray1@ualberta.ca
Address: 406 Athabasca Hall
9119 116 St NW

Edmonton AB

T6G 2E8

Overview

Area of Study / Keywords

Computer vision Image analysis Medical image processing Deep learning

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.

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

Courses

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.

Winter Term 2025