​8:30 – 10:15AM: Boosting Productivity with Agentic AI

​Dr Farhad Maleki

​Dr Maleki will showcase examples of how Agentic AI can be used to improve workers’ efficiency and decrease burnout such as when developing a presentation, by summarizing documents, extracting stats, and visualizing them, and providing the final PPTX file with notes as well as extracting and summarizing information from websites and providing tailored reports for a specific audience persona. Attendees may be interested in the Agentic AI workshop coming up at the Canadian AI conference in Calgary: https://www.ai-crv.ca

​10:45AM – 12:30PM: Emergency Department Workflow Simulation with LLM Agents

​Dr Steve Drew

​We developed a prototype of an LLM agent-based Emergency Department (ED) simulation using a Tiled-designed ED map with areas such as the waiting room, triage room, and operating room. The user interface visually represents a small-scale ED layout, with LLM agents (patients, nurses, and doctors) correctly positioned and interacting within the environment. The simulation provides attendees with an opportunity to observe how LLM agents (nurses, doctors, and patients) can communicate, make decisions, and adapt dynamically in a real-time. Additionally, attendees will observe how LLM agents are capable of context-aware decision making and adjusting their actions in response to patient conditions, staff workload, and emergency department constraints.

​1:00PM – 3:15PM: Application of AI in Cybersecurity

​Dr Hadis Karimipour

​Machine Learning (ML) is a subset of AI that enables systems to automatically improve from experience, using algorithms to predict outputs based on data and update predictions as new data emerges. ML has applications in areas like anomaly detection, system monitoring, and security analysis, especially in Cyber-Physical Systems (CPS) such as smart grids and autonomous vehicles. The integration of AI in IoT devices helps address security challenges by identifying early-stage attacks and providing defensive strategies. Additionally, AI enhances smart grid management and precision agriculture by automating complex tasks, improving efficiency, and addressing cybersecurity concerns in these technology-driven systems.

​3:45PM – 5:30PM: AI for physical human-robot interaction

​Dr Marie Charbonneau

​AI is used to detect and estimate contact forces between a person and a robot. The estimation process can be demonstrated in real time with video feedback showing contacts on the robot. Attendees can learn that agentic AI is not limited to software, but can (and will) take a physical form, too, using robots.