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PhD defence of Amar Kumar 鈥� Explainability and Fairness in Medical Imaging via Counterfactual Generation

Thursday, October 30, 2025 11:30to13:30

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

Read more about PhD defence of Amar Kumar 鈥� Explainability and Fairness in Medical Imaging via Counterfactual Generation

PhD defence of Boqi (Percy) Chen 鈥� Domain-Driven and Consistent Integration of Large Language Models: An Input-Output Perspective

Friday, October 24, 2025 13:00to15:00

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

Read more about PhD defence of Boqi (Percy) Chen 鈥� Domain-Driven and Consistent Integration of Large Language Models: An Input-Output Perspective

PhD defence of Mohammad Reza Safaee Ardestani 鈥� Toward scalable photonic computing: single- and dual-transverse mode architectures

Thursday, October 16, 2025 12:30to14:30

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

Read more about PhD defence of Mohammad Reza Safaee Ardestani 鈥� Toward scalable photonic computing: single- and dual-transverse mode architectures

PhD defence of Toluwaleke Olutayo 鈥� Machine Learning Approaches to Symbol Detection in Massive MIMO Wireless Systems

Wednesday, October 8, 2025 09:00to11:00

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

Read more about PhD defence of Toluwaleke Olutayo 鈥� Machine Learning Approaches to Symbol Detection in Massive MIMO Wireless Systems

PhD defence of Christopher Ramos 鈥� Development of an Intermediate Bus Converter for Evolving Power Grid Systems

Tuesday, October 7, 2025 09:00to11:00

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

Read more about PhD defence of Christopher Ramos 鈥� Development of an Intermediate Bus Converter for Evolving Power Grid Systems

PhD defence of Pavel Rumiantsev 鈥� Efficient Algorithms for Automatic Structure Identification and Adaptation in Deep Neural Networks

Wednesday, October 1, 2025 13:30to15:30

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

Read more about PhD defence of Pavel Rumiantsev 鈥� Efficient Algorithms for Automatic Structure Identification and Adaptation in Deep Neural Networks

PhD defence of Yanyan Mu 鈥� From Foundational Components to Complex Factorizations: Task-Dependent Architectures via Undirected Graphical Models

Friday, September 19, 2025 09:30to11:15

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

Read more about PhD defence of Yanyan Mu 鈥� From Foundational Components to Complex Factorizations: Task-Dependent Architectures via Undirected Graphical Models

PhD defence of Yuwei Fu 鈥� Sample Efficient Reinforcement Learning: Methods and Applications

Friday, August 29, 2025 13:00to15:00

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

Read more about PhD defence of Yuwei Fu 鈥� Sample Efficient Reinforcement Learning: Methods and Applications

PhD defence of Rezvan Sherkati 鈥� Saliency Prediction for Groups Using Generative Models

Wednesday, August 27, 2025 14:00to16:00

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

Read more about PhD defence of Rezvan Sherkati 鈥� Saliency Prediction for Groups Using Generative Models

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Main navigation

PhD defence of Amar Kumar 鈥� Explainability and Fairness in Medical Imaging via Counterfactual Generation

PhD defence of Boqi (Percy) Chen 鈥� Domain-Driven and Consistent Integration of Large Language Models: An Input-Output Perspective

PhD defence of Mohammad Reza Safaee Ardestani 鈥� Toward scalable photonic computing: single- and dual-transverse mode architectures

PhD defence of Toluwaleke Olutayo 鈥� Machine Learning Approaches to Symbol Detection in Massive MIMO Wireless Systems

PhD defence of Christopher Ramos 鈥� Development of an Intermediate Bus Converter for Evolving Power Grid Systems

PhD defence of Pavel Rumiantsev 鈥� Efficient Algorithms for Automatic Structure Identification and Adaptation in Deep Neural Networks

PhD defence of Yanyan Mu 鈥� From Foundational Components to Complex Factorizations: Task-Dependent Architectures via Undirected Graphical Models

PhD defence of Yuwei Fu 鈥� Sample Efficient Reinforcement Learning: Methods and Applications

PhD defence of Rezvan Sherkati 鈥� Saliency Prediction for Groups Using Generative Models

Pages

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Department of Electrical and Computer Engineering