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

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 currently a postdoctoral fellow at the Sport Analytic Research Group, which is led by Prof. David Clausi.

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

Based on Myers-Briggs Type Indicator (MBTI) he is an INFJ-type type person. 

For viewing his full portfolio visit: http://amirnazemi.com