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NRS Graduate Seminar 6

Thursday, April 9, 2026 10:00to10:30

Session 1 Location: B1-015 (Barton Building)/nrsCategory: Graduate Communications Graduate and Postdoctoral Studies Macdonald Campus Seminars

Read more about NRS Graduate Seminar 6

Get to know the exciting research our graduate students are working on in this seminar series. Talks will be divided into sections (see below). Everyone is welcome to attend. /nrsCategory: Graduate...

Read more about NRS Graduate Seminars - 5

PhD defence of Liheng Ma – Towards More Expressive Graph Neural Networks via Learning on Pseudo-Coordinates

Wednesday, January 14, 2026 14:30to16:30

Abstract3480 rue University, Montreal, QC, H3A 0E9, CA/eceCategory: Dept. of Electrical and Computer Engineering

Read more about PhD defence of Liheng Ma – Towards More Expressive Graph Neural Networks via Learning on Pseudo-Coordinates

PhD defence of Florence Robert-Regol – Learning and evaluating calibrated models for categorical data

Wednesday, January 14, 2026 10:00to12:00

Abstract...

Read more about PhD defence of Florence Robert-Regol – Learning and evaluating calibrated models for categorical data

PhD defence of Jose Garcia-Echeverria – Stabilized Optical Microrings for Analog and Digital Computing

Tuesday, December 9, 2025 11:00to13:00

Abstract3480 rue University, Montreal, QC, H3A 0E9, CA/eceCategory: Dept. of Electrical and Computer Engineering

Read more about PhD defence of Jose Garcia-Echeverria – Stabilized Optical Microrings for Analog and Digital Computing

PhD defence of Juliette Regimbal – Authoring tools and infrastructure for accessible audio-haptic representations of visual media

Thursday, November 20, 2025 14:15to16:15

Abstract3480 rue University, Montreal, QC, H3A 0E9, CA/eceCategory: Dept. of Electrical and Computer Engineering

Read more about PhD defence of Juliette Regimbal – Authoring tools and infrastructure for accessible audio-haptic representations of visual media

PhD defence of Joseph Szymborski – Addressing Pervasive Challenges in Generalizable Machine Learning Models of Protein-Protein Interaction

Monday, November 24, 2025 13:00to15:00

Abstract3480 rue University, Montreal, QC, H3A 0E9, CA/eceCategory: Dept. of Electrical and Computer Engineering

Read more about PhD defence of Joseph Szymborski – Addressing Pervasive Challenges in Generalizable Machine Learning Models of Protein-Protein Interaction

PhD defence of Xingshuai Huang – Sample-Efficient Algorithms for Intelligent Transportation Systems

Tuesday, November 11, 2025 09:00to11:00

Abstract3480 rue University, Montreal, QC, H3A 0E9, CA/eceCategory: Dept. of Electrical and Computer Engineering

Read more about PhD defence of Xingshuai Huang – Sample-Efficient Algorithms for Intelligent Transportation Systems

PhD defence of Yao Jie Cai – Locate Power System Forced Oscillations based on Sparse Identification of Nonlinear Dynamics

Tuesday, November 4, 2025 13:00to15:00

Abstract3480 rue University, Montreal, QC, H3A 0E9, CA/eceCategory: Dept. of Electrical and Computer Engineering

Read more about PhD defence of Yao Jie Cai – Locate Power System Forced Oscillations based on Sparse Identification of Nonlinear Dynamics

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NRS Graduate Seminar 6

NRS Graduate Seminars - 5

PhD defence of Liheng Ma – Towards More Expressive Graph Neural Networks via Learning on Pseudo-Coordinates

PhD defence of Florence Robert-Regol – Learning and evaluating calibrated models for categorical data

PhD defence of Jose Garcia-Echeverria – Stabilized Optical Microrings for Analog and Digital Computing

PhD defence of Juliette Regimbal – Authoring tools and infrastructure for accessible audio-haptic representations of visual media

PhD defence of Joseph Szymborski – Addressing Pervasive Challenges in Generalizable Machine Learning Models of Protein-Protein Interaction

PhD defence of Xingshuai Huang – Sample-Efficient Algorithms for Intelligent Transportation Systems

PhD defence of Yao Jie Cai – Locate Power System Forced Oscillations based on Sparse Identification of Nonlinear Dynamics

Pages

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Department of Electrical and Computer Engineering