Dr. Yani Ioannou, PhD

Pronouns: He, Him
Portrait Photo

Assistant Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Media contacts

Joe McFarland
Media Relations and Communications Specialist

Cell: +1.403.671.2710
Email: Joe.Mcfarland@ucalgary.ca

Phone number

Office: 403.220.6144

Location

Office: ICT248

How to Contact Me:

Undergraduate/Graduate Research Opportunities

Please see my supervisor profile for details on how to apply for these opportunities.

Research Collaborations

For research collaborations, please e-mail me directly.

I'm looking for...

Research partners

I have a wide-range of industry and academic research experience, and am always open to new collaborations, especially on projects which might help fund M.Sc. and PhD students (e.g. MITACs funding)

Background

Educational Background

PhD Information Engineering, University of Cambridge, 2018

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

B.Sc. Honours Computer Science, University of Toronto, 2006

Biography

I completed my PhD at the University of Cambridge in 2018, where I was supervised by Professor Roberto Cipolla and Dr. Antonio Criminisi. My PhD was supported by a Microsoft Research Ph.D. Scholarship and I collaborated with researchers at Microsoft Research Cambridge (UK) extensively. Following my PhD I was a Postdoctoral Research Fellow at the Vector Institute, working with Prof. Graham Taylor, and Prof. Mihai Nica, and before that a Visiting Researcher at Google Brain Toronto/AR Core.

Research Impact

In my PhD I made research contributions in structured sparsity for Convolutional Neural Networks (CNNs) that are now widely used in all modern deep learning architectures for computer vision. I also worked on pioneering work in understanding the difficulty of adversarial robustness, and some of the earliest work applying CNNs to brain tumour segmentation. More recently I worked with NASA/SETI on applying deep learning to exoplanet classification, the resulting method continues to be used in processing data from the Transiting Exoplanet Survey Satellite (TESS) space telescope.

Current Research Interests

My current research focus is on unstructured sparse training of deep neural networks, and efficient deep learning more generally, with a focus on problems in computer vision in particular.

Industrial Research Experience

Outside of academia, I have a range of industrial research experience, including at Microsoft Research Cambridge (Intern/Business Guest), Google Brain Toronto (Visiting Resarcher), and a UK self-driving startup Wayve (Research Scientist). Outside of research, I've contributed to open source projects such as the Linux kernel and the Point Cloud Library (PCL).

Research

Areas of Research

Sparse Neural Networks, Efficient Deep Learning, Machine Learning

My current research focus is on unstructured sparse training of deep neural networks, and efficient deep learning more generally, with a focus on problems in computer vision in particular.

Computer Vision, Artificial Intelligence

I have worked on many computer vision applications such as conditional imitation learning for self-driving vehicles, medical imaging (brain tumour segmentation), 3D computer vision (point cloud segmentation), assistive technology (fall detection).

Participation in university strategic initiatives

Projects

NASA Frontier Development Lab: Finding Exoplanets

In work featured at Google Cloud Next `19, published in Astrophysics Journal Letters and Astronomy & Astrophysics, I along with Dr. Michele Sasdelli mentored two planetary scientists, Dr. Megan Ansdell and Dr. Hugh Osborn in deep learning and computer vision towards improving methods to find exoplanets in data from the NASA Kepler and TESS missions

Awards

  • Outstanding Reviewer, Asian Conference on Computer Vision (ACCV). 2020
  • Student Travel Award, NeurIPS. 2016
  • Student Travel Award, International Conference on Learning Representations (ICLR). 2016
  • Student Travel Award, Microsoft Research. 2016
  • Microsoft Research PhD Scholarship, Microsoft Research. 2013

Publications

More Information

This is only a selection of some of my most recent, and impactful, publications. For a full list of publications, see my Google Scholar Profile.