Yani's portrait photo

Yani Ioannou, PhD

Dept. of Electrical and Software Engineering
Schulich School of Engineering
University of Calgary

I'm an Assistant Professor at the University of Calgary in the Department of Electrical and Software Engineering of the Schulich School of Engineering, and lead the Calgary Machine Learning Lab.

I was previously a Postdoctoral Research Fellow at the Vector Institute and University of Guelph, working with Prof. Graham Taylor, and a Visiting Researcher at Google Brain Toronto/Google AR Core.

I completed my PhD at the University of Cambridge in 2018 supported by a Microsoft Research Ph.D. Scholarship, where I was supervised by Professor Roberto Cipolla and Dr. Antonio Criminisi.

I am currently interested in efficient deep learning, specifically for computer vision problems, and sparse neural network training. I have in the past worked on exoplanet detection with NASA, medical imaging with Microsoft Research and the Gates Foundation, and 3D computer vision methods for processing and recognizing objects in large point clouds.

Selected Publications

For a full publications list, see Google Scholar.

Paper coverpage

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

*U. Evci, *Y. Ioannou, C. Keskin, Y. Dauphin
* Equal Contribution

Oral Presentation
36th AAAI Conference on Artificial Intelligence (AAAI) 2022, Vancouver, BC, Canada
Poster

Paper coverpage

Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks

H. Osborn, M. Ansdell, Y. Ioannou, M. Sasdelli, et al.

Astronomy & Astrophysics
Volume 633, Number A53
January, 2020

Paper coverpage

Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning

M. Ansdell , Y. Ioannou , H. P. Osborn , M. Sasdelli, et al.

The Astrophysical Journal Letters
Volume 869, Number 1
December 5, 2018

PhD Thesis Coverpage

Structural Priors in Deep Neural Networks

Y. Ioannou

Ph.D. Thesis, Department of Engineering, University of Cambridge, Sept. 2017.
PDF (Print) BibTeX LaTeX Source

Paper coverpage

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Y. Ioannou, D. Robertson, R. Cipolla, A. Criminisi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, Honolulu, Hawaii.
BibTeX Poster

Paper coverpage

Training CNNs with Low-Rank Filters for Efficient Image Classification

Y. Ioannou, D. Robertson, J. Shotton, R. Cipolla, A. Criminisi

International Conference on Learning Representations (ICLR) 2016, San Juan, Puerto Rico.
BibTeX Poster Models

Paper coverpage

Decision Forests, Convolutional Networks and the Models in-Between

Y. Ioannou, D. Robertson, D. Zikic, P. Kontschieder, J. Shotton, M. Brown, A. Criminisi

Microsoft Research Tech Report
MSR-TR-2015-58, April, 2015.
BibTeX

Paper coverpage

Emergency detection and response system and method

A. Mihailidis, Y. Ioannou, J. Boger, J. Gastle

United States Patent Application, 2013/0100268 A1, Apr. 25, 2013

Paper coverpage

Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds

Y. Ioannou, B. Taati, R. Harrap, M. Greenspan

3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT) 2012, Zürich, Switzerland. BibTeX Poster

Master's Thesis Coverpage

Automatic Urban Modelling using Mobile Urban LIDAR Data

Y. Ioannou

Thesis (M.Sc. Computing), Queen's University, Canada, 2010.

Teaching

Courses I'm Teaching/I've Taught Recently

SENG 401: Software Architecture

Schulich School of Engineering, University of Calgary, Winter 2022

APS360: Applied Fundamentals of Machine Learning

Faculty of Applied Science & Engineering, University of Toronto, Winter 2020-21

CSC320: Introduction to Visual Computing

Department of Computer Science, University of Toronto, Winter 2018-19

Talks

Recent Invited Talks and Lectures

University of Calgary, Calgary AB, Canada

Efficient Neural Networks

April 16, 2021

Concordia University, Montréal QC, Canada

Efficient Neural Networks

April 9, 2021

Vector Institute, Toronto, Canada

Gradient Flow in Sparse Neural Networks

February 24, 2021
Slides

Curriculum Vitae/Resume

See LinkedIn for more information.

Academic C.V.

Academic C.V.

Contact Me

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You can also find out more about me through one of the many social links below.