University of Waterloo

Amir Nazemi

Postdoctoral Fellow

The longer you look at an object, the more abstract it becomes, and, ironically, the more real.

Lucian Freud

Postdoctoral Fellow

Amir has years of experience in machine learning, computer vision and has been a part of multiple interdisciplinary teams, including a research lab in Korea, a joint research project with Microsoft, and a collaboration with the Faculty of Health at the University of Waterloo. Amir is interested in video analysis and particularly long video object segmentation and continual/lifelong learning.

He is an adaptive, enthusiastic and fast-learning person. Based on Myers-Briggs Type Indicator (MBTI) he is an INFJ-type type person. 

He particularly enjoys working with scientists from various fields to develop new skills and face new challenges.

Research interests
Machine learning and artificial intelligence. Computer vision and image processing. Video Object Segmentation. Continual learning.
Paul Fieguth