| Presenter Name | Affiliation | Poster Title |
| Yar Rouf | York University | Towards a Robust On-line Performance Model Identification for Change Impact Prediction |
| Gabriele Cianfarani | York University | IoT Protocol Security and a Framework for MQTT Fuzzing |
| Mahmoud Alsaeed | Learning Spatial-temporal Representation for Mobility-related Problems using Transformers-inspired model | |
| Gian Alix | York University | STripE: Safe Point-of-Interest Recommendation Models during Epidemics |
| Saba Zarbaf | York University | Empirical Evaluation of Conceptual Modelling Language |
| Hoda Torabi | York University | An IoT Federating Learning Approach for Privacy and Performance |
| Nazanin Akhtarian | York University | A Multi-Tier Load Balancer for IoT Applications |
| Harit Ahuja | York University | Machine Learning Algorithms for Long Covid Effects Detection |
| Ramon Diaz Ramos | University of Alberta | Physiological and Behavioural Data Collection to Predict Anxiety, Stress, and Depression Among Students |
| Mahsa Hadian | Polytechnique Montréal | Developing a BenchmarkTool for Edge Device |
| Felipe Rivera | University of Victoria | Self-Adaption and Runtime Model Evolution Toward Next-Generation, Software-Intensive Digital Twin Systems |
| Jashwanth Reddy Sarikondda | University of Alberta | Integrating BIM and BRICK for a semantics-aware Building Digital Twin Platform |
