Thomas G. Fevens

Associate Professor (and Associate Chair)
Department of Computer Science and Software Engineering
Faculty of Engineering and Computer Science
Concordia University
Sir George Williams Campus
Room EV 3-157 (3rd floor)
1455 De Maisonneuve Blvd. West
Montreal, QC Canada H3G 1M8
Office phone: (514) 848-2424x3038
Email: fevens at cs.concordia.ca
 

Director of the Deep Learning for Medical and Visual Processing (ML-MVP) lab.

I am a Concordia Director for the Surgical Innovation program, a collaboration between McGill University, ETS and Concordia. I am looking for good candidates for M.Comp.Sc. or Ph.D. for the Surgical Innovation program (funded by an NSERC CREATE grant). A number of positions are available.

Teaching

Currently, primarily teaching COMP 476/6311 Advanced Game Development, COMP 233 Probability and Statistics, and, at McGIll, EXSU 500 Artificial Intelligence in Medicine (as a guest lecturer).

Bibliography

THOMAS FEVENS, PhD is an Associate Professor and Associate Chair, Computer Science and Software Engineering, at Concordia University, and an Adjunct Professor, Dept. of Surgery, at McGill University. He is a Director for the Surgical Innovation Program, a collaboration between McGill, Concordia and the Ecole de technologie superieure. While at Queen's University at Kingston, Dr. Fevens obtained a BSc in Astrophysics with honours in 1990, an MSc in Physics in 1993 specializing in General Relativity, an MSc in Computing and Information Science in 1994 specializing in Numerical Analysis and a PhD in Computing and Information Science in 1999 specializing in Computational Geometry. He was a Post-Doctoral Fellow at McGill from 2000 to 2001 in the School of Computer Science. An expert in Artificial Intelligence (AI), Deep Learning and Medical Imaging, he has published articles in top venues such as ICCV, MICCAI, and IEEE TMI on Computer-Aided Breast Cancer Malignancy Classification, Clinical Image Segmentation, and Deep Learning for Medical Imagery. His areas of research also include: Surgical Innovation - Software, Computational Geometry, Computer Gaming, and Wireless Networks.

Research

Current Research Interests

Publications

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