Program
Details about the program schedule for the Canadian AI and Robots & Vision Conference 2025 will be provided on this page. The schedule will include information on keynote sessions, paper presentations, workshops, and special events. Please check back regularly for updates as we finalize the lineup of speakers and sessions. All program details will be shared here to help you plan your participation in the conference.
Artificial Intelligence
Program at a Glance
The following is a Google Calendar for the events of the main conference.
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The timezone is indicated by Google in the lower left corner of the calendar.
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Click on individual events for more details. You can add the whole calendar to your agenda by using the link in the lower left corner.
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Most events take place at the Taylor Institute for Teaching and Learning (Google Maps), in Room 160 (ground floor plan).
The banquet on Wednesday will be held in Hall AB - MacEwan Student Centre, 402 Collegiate Blvd NW, Calgary.
Detailed Program
Most events take place at the Taylor Institute for Teaching and Learning (Google Maps), in Room 160.The banquet on Wednesday will be held in Hall AB - MacEwan Student Centre, 402 Collegiate Blvd NW, Calgary.
Monday, 26 May 2025
9:00 — 9:30 Welcome and Opening Remarks
9:30 — 10:30 Session 1 - Knowledge Representation
Room 160
Chair: TBA
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9:30 67 On the Semantics of Actual Causality in Situation Calculus Concurrent Game Structures
Mohammad Hossein Karimian (University of Regina); Shakil Khan (University of Regina) ✉; Yves Lespérance (York University)
9:50 185 Dynamic Causal Attention with Sparse Temporal Networks for Interpretable Causal Discovery in Multivariate Time Series
Miloud Mihoubi (University Of téluq) ✉; Meriem Zerkouk (University of Téluq); Belkacem Chikhaoui (University of Téluq)
10:10 198 SAT for Upward Book Embedding: An Empirical Study
Rustem Kakimov (Lakehead); Xing Tan (Lakehead) ✉
11:00 — 12:30 Session 2 - Reinforcement Learning and Optimization
Room 160
Chair: TBA
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11:00 2 SPADE: Solving the Multi-Depot Vehicle Routing Problem with Inter-Depot Routes Using Multi-Agent Deep Reinforcement Learning
Arash Mozhdehi (University of Calgary); Mahdi Mohammadizadeh (University of Calgary); Saeid Kalantari (University of Calgary); Beom Sae (Shawn) Kim (University of Calgary); Xin Wang (University of Calgary) ✉
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11:18 28 The QBF Cover encoding for Harary Tic-Tac-Toe’s
Steve Boucher (UQAM); Roger Villemaire (Université du Québec à Montréal) ✉
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11:36 34 Towards Inference in Arithmetic Circuits by Exploiting Barren Variables
Cory Butz (University of Regina) ✉; Jhonatan Oliveira (Talawa AI); Kadence Meredith (University of Regina)
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11:54 113 Balanced-Boundary IoU: A Holistic Algorithm Towards Improving Segmentation Evaluation Metric
Sidratul Montaha (University of Calgary) ✉; Rashik Rahman (University of Calgary); Nathan Weiss (University of Calgary)
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12:12 150 Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing
Amin Avan (Ontario Tech University) ✉; Akramul Azim (Ontario Tech University); Qusay Mahmoud (Ontario Tech University)
14:00 — 15:00 Session 3 - Speech and Language
Room 160
Chair: TBA
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14:00 73 Neural Wavelet Packet-Based Bidirectional Autoencoder for Multi-Resolution Speech Enhancement
Alaa Nfissi (Concordia University) ✉; Wassim Bouachir (TÉLUQ University); Nizar Bouguila (Concordia University)
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14:20 166 The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting
Shuzhang Cai (University of Texas at Dallas); Twumasi Mensah-Boateng (University of North Texas); Xander Kuksov (University of North Texas ); Jing Yuan (University of North Texas); Shaojie Tang (University at Buffalo) ✉
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14:40 170 Attenuating Catastrophic Forgetting of Token-Level Knowledge in Contrastive Sentence Embeddings with Attentive Pooling
Liao Saifei (University of Toronto) ✉; Jingceng Niu (University of Toronto); Gerald Penn (University of Toronto)
14:00 — 15:00 Session 3 - Speech and Language
Room 160
Chair: TBA
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15:00 23 Improving Patient-Clinical Trial Matching Using Convolution Neural Networks
Yousif Salman (Wilfrid Laurier University); Emad Mohammed (Wilfrid Laurier University) ✉; Cassandra Hui (HealMary)
15:18 50 InceptoFormer: A Multi-Signal Neural Framework for Parkinson’s Disease Severity Evaluation from Gait
Safwen Naimi (TÉLUQ) ✉; Arij Said (TÉLUQ); Wassim Bouachir (TÉLUQ); Guillaume-Alexandre Bilodeau (Polytechnique Montréal)
15:36 59 Transfer Learning for Multi-Lead ECG Analysis in Cardiac Arrest Risk Classification
Zahra Safari (University of Calgary); Emad Mohammed (Wilfrid Laurier University) ✉; Behrouz Far (University of Calgary)
15:54 155 Real-Time Plant Disease Detection Using YOLOv8 on a Low Resources Device
Usama Mohiuddin (Wilfrid Laurier University); Emad Mohammed (Wilfrid Laurier University) ✉
16:12 200 A Comparison of Autoencoders and Variational Autoencoders for Anomaly Detection in Dermoscopic Skin Lesion Imagery
Andrew McIntyre (Acadia University) ✉
Tuesday, 27 May 2025
11:00 — 12:30 Session 5 - Large Language Models (LLMs) and Natural Language Processing (NLP)
Room 160
Chair: TBA
11:00 81 Aligning Language Models Using Multi-Objective Deep Reinforcement Learning
Yage Zhang (Department of Computer Science, Brock University); Xiaodan Zhu (Department of Electrical and Computer Engineering, Queen's University); Yifeng Li (Department of Computer Science, Brock University) ✉
11:18 103 Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach
iing muttakhiroh (Concordia University) ✉; Thomas Fevens (Concordia University)
11:36 106 Let’s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition
Tara Azin (Carleton University) ✉; Daniel Dumitrescu (University of Ottawa); Diana Inkpen (University of Ottawa); Raj Singh (Carleton University)
11:54 158 On Pre-training and Self-training
Yiheng Wang (Peking University); Jiayu Lin (Peking University); Zuoquan Lin (Peking University) ✉
12:12 162 On the Influence of Discourse Relations in Persuasive Texts
Nawar Turk (Concordia University - CLaC Lab) ✉; Sevag Kaspar (Concordia University); Leila Kosseim (Concordia University)
14:00 — 15:00 Session 6 - Machine Learning – Classification
Room 160
Chair: TBA
14:00 24 Fast Graph Neural Network for Image Classification
Mustafa Mohammadi Gharasuie (University of Windsor) ✉; Luis Rueda (University of Windsor)
14:20 128 Enhancing Predictive Coding Networks for Multi-Modal Generation and Classification
Ehsan Ganjidoost (University of Waterloo) ✉
14:40 145 Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection
Reza Sadeghian (University of Ottawa) ✉; Niloofar Hooshyaripour (University of Ottawa); Chris Joslin (Carleton University); WonSook Lee (University of Ottawa)
15:30 — 17:00 Session 7 - Applications II - Security, Adversarial ML, and Anomaly Detection
Room 160
Chair:TBA
15:30 94 On the Impact of Imbalance Handling Techniques in Deep Learning Models for Malware Detection
Dan Zhu (New York Institute of Technology); Shijia Zhang (New York Institute of Technology); Jing Li (New York Institute of Technology); Sara Khanchi (New York Institute of Technology) ✉
15:48 164 Generating Malicious Demonstration Policies to Exploit Vulnerabilities in Inverse Reinforcement Learning
Arezoo Alipanah (University of Waterloo) ✉; Yash Pant (University of Waterloo)
16:06 177 Detecting Aimbot Usage in Minecraft Using a Long Short-Term Memory Model
James Vandersluis (University of Waterloo) ✉; Alexander Wong (University of Waterloo)
16:24 188 SAGNN+CS: A Resilient Graph Neural Network Framework Against Backdoor Threats
Abhijeet Dhali (Brock University) ✉; Renata Dividino (Brock University)
16:42 203 Handling Concept Drift in Fraud Detection: A Replication Study
Mustafa Topal (AI4U Inc.) ✉; Aysun Bozanta (BoÄŸaziçi University); Eray Erer (BoÄŸaziçi University); AyÅŸe BaÅŸar (Toronto Metropolitan University)
Wednesday, 28 May 2025
11:00 — 12:30 Session 8 - Vision and Multimodal Systems
Room 160
Chair:TBA
11:00 95 Multimodal Emotion Recognition with Cross-Attentive Learning and Feature Fusion
Alaa Nfissi (Concordia University) ✉; Ines Jemmali (Concordia University); Wassim Bouachir (TÉLUQ University); Nizar Bouguila (Concordia University)
11:18 98 MAC: Multimodal Attentive Contrastive Learning Framework
Habibeh Naderi (Dalhousie University) ✉; Behrouz Haji Soleimani (Kinaxis); Stan Matwin (Dalhousie University)
11:36 65 Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models
Lilian Hollard (LICIIS) ✉
11:54 127 Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable Classification
Nathaniel Lesperance (University of Guelph) ✉; Sujeevan Ratnasingham (Centre for Biodiversity Genomics); Graham Taylor (University of Guelph)
12:12 184 Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
Meriem Zerkouk (University of TELUQ) ✉; Miloud Mihoubi (University of TELUQ); Belkacem Chikhaoui (University of TELUQ)
14:00 — 15:00 Graduate Students Symposium
15:30 — 17:00 Session 9 - Short Papers POSTERS
Room TI Gallery
53 Continual Prediction Learning Techniques to Support Users' Grasp Selection on a Multi-Articulating Prosthetic Hand
Annette Lau (University of Alberta) ✉; Michael R. Dawson (University of Alberta); Patrick M. Pilarski (University of Alberta)
56 3D Gaussian Splatting and Camera Poses Joint Optimization for Motion Blur Images via Low-pass Filter
Xuanqi Zhang (University of Ottawa) ✉; Wonsook Lee (University of Ottawa); Chris Joslin (Carleton University)
68 How Robust Are Higher-Order Graph Neural Networks to Backdoor Attacks?
Abhijeet Dhali (Brock University) ✉; Renata Dividino (Brock University)
79 Analysis of Canadian Wildfire Tweets Over Seven Years
Braeden Sherritt (Carleton University); Isar Nejadgholi (The National Research Council Canada); Marzieh Amini (Carleton University) ✉
121 Evaluating the Effectiveness of Cost-Efficient Large Language Models in Benchmark Biomedical Tasks
Israt Jahan (York University); Md Tahmid Rahman Laskar (Dialpad) ✉; Chun Peng (York University); Jimmy Huang (York University)
123 A Context-Aware LLM-Based Action Safety Evaluator for Automation Agents
Chia-Hao Lin (New York Institute of Technology ); Amin Milani Fard (New York Institute of Technology ) ✉
131 Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
Danial Ebrat (University of Windsor) ✉; Sepideh Ahmadian (University of Windsor); Luis Rueda (University of Windsor)
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146 SF2D: Semi-supervised Federated Learning for Fall Detection using (Un)labelled Data in Edge-Cloud
Seyed Alireza Rahimi Azghadi (University of New Bruswick) ✉; Hung Truong Nguyen Thanh (University of New Bruswick); Irina Kondratova (NRC); Hélène Fournier (NRC); Monica Wachowicz (RMIT); francis palma (University of New Bruswick); René Richard (NRC); Hung Cao (University of New Bruswick)
153 Discovering and Evaluating Politeness Editing Strategies
Ahmad Aljanaideh (Bentley University) ✉; Saeb Ganideh (Toronto Metropolitan University); Michael Pumphrey (University of Guelph); Mohammad Al Janaideh (University of Guelph)
189 Comparing Traditional and Deep Learning Approaches for Product Matching: Performance on Unseen Entities
Jeremy Foxcroft (University of Guelph) ✉; Eric Sartor (University of Guelph); Luiza Antonie (University of Guelph)
191 A Minimalist Swarm Robotic Controller for Foraging
Andrew Vardy ( Memorial University of Newfoundland) ✉
195 Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
Md Kamrujjaman Mobin (Shahjalal University of Science and Technology, Sylhet.) ✉; Md Saiful Islam (Athabasca University, Canada); Sadik Al Barid (Shahjalal University of Science and Technology, Sylhet.); Md Masum (Shahjalal University of Science and Technology, Sylhet.)
197 From Control to Flourishing: Responsible Generative AI and the Limits of Meaningful Human Control
Tugba Yoldas (University of Alberta) ✉
202 Intra-Layer Recurrence in Transformers for Language Modeling
Anthony Nguyen (Algoma University); Wenjun Lin (Algoma University) ✉
Thursday, 29 May 2025
11:00 — 12:30 Session 10 - Explainability, Interpretability, Ethics and Safe AI
Room 160
Chair: TBA
11:00 4 Topology-Driven Solver Selection for Stochastic Shortest Path MDPs via Explainable Machine Learning
Mathieu Gravel (Université du Québec à Montréal); Jaël Champagne Gareau (Université du Québec à Montréal) ✉
11:18 42 Enhancing Legal Text Entailment: Evaluating Model Architectures, Training Approaches, and Interpretability
Michel Custeau (University of Ottawa) ✉; Diana Inkpen (University of Ottawa)
11:36 48 XGD: Explainable AI-Guided Knowledge Distillation with Feature Refinement for Semantic Segmentation
Hung Nguyen (University of New Brunswick) ✉; Khang Nguyen (FPT Software); Binh Truong (FPT Software); Khanh Nguyen (FPT Software); Loc Nguyen (Friedrich-Alexander-Universität Erlangen-Nürnberg); Francis Palma (University of New Brunswick); Hung Cao (University of New Brunswick)
11:54 108 Faithful Perturbations and Evaluations for Post-Hoc Local Explanation Methods
Iain Smith (University of Alberta) ✉; Osmar Zaiane (University of Alberta)
12:12 130 Ethical Risk Assessment of the Data Harnessing Process of LLM supported on Consensus of Well-known Multi-Ethical Frameworks
Javed KHAN (Kent State University) ✉; Sharmila Rahman Prithula (Kent State University)
14:00 — 15:00 Session 11 - Machine Learning and Interpretability
Room 160
Chair: TBA
14:00 32 Meta-Unsupervised Representation Learning: A New Approach to Factorization and Interpretability
Ameer Ahmed Khan (Bishop's University) ✉; Rachid Hedjam (Bishop's University); Mebarka Allaoui (Bishop's University); Guoqiang Zhong (Ocean University of China)
14:20 41 Unsupervised Feature Selection Using Orthogonally Constrained Matrix Factorization with Hessian Regularization and Non-Convex Sparsity
Zubeka Dang (Seneca Polytechnic); Anna Jazayeri (Seneca Polytechnic); Ran Arino (Seneca Polytechnic); Anna Briskina (Seneca Polytechnic); Amir Moslemi (Sunnybrook research institute; Department of physics, Toronto Metropolitan university) ✉
14:40 196 Discrete-Survival Compatibility Score for Donor-Recipient Matching in Liver Transplantation
Yingke Wang (University of Waterloo) ✉; Eunice Tan (University Health Network); Yingji Sun (University Health Network); Mamatha Bhat (University Health Network); Xi He (University of Waterloo, Vector Institute); Sirisha Rambhatla (University of Waterloo)
15:30 — 16:24 Session 12 - Applications III - Financial and Cryptocurrency Market Applications
Room 160
Chair: TBA
15:30 18 A Domain-Specific Transformer Approach for Financial Statement Fraud Detection
Matin N. Ashtiani (University of Ottawa) ✉; Shanzi Rui (University of Ottawa); Bijan Raahemi (University of Ottawa)
15:48 119 Financial Market Prediction using Contrastive Learning-based News Representation and Multi-Resolution Market Data
Saeede Anbaee Farimani (Mashhad Branch Islamic Azad University); Majid Vafaei Jahan (Mashhad Branch Islamic Azad University); Pouya Soltani (Mashhad Branch Islamic Azad University ); Amin Milani Fard (New York Institute of Technology ) ✉
16:06 125 Enhancing Cryptocurrency Price Prediction by Applying Temporal Fusion Transformers on Subseries
Arash Peik (Yazd University); Mohammad Ali Zare Chahooki (Yazd University ); Amin Milani Fard (New York Institute of Technology ) ✉; Mehdi Agha Sarram (Yazd University)