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Brigitte Jaumard is a Professor in the Department of Computer Science at Concordia University. Her research interests encompass Large Scale Optimization, Machine Learning, Optical Wireless Networking, Logistics, and Automated Mechanism Design. She has been actively involved in various research activities that include adaptive slicing and intelligent network automation, collaborating with industry leaders such as Ciena. One of her key research projects focuses on the development of a closed-loop mechanism leveraging Software Defined Networking (SDN) to optimize network resources dynamically and automate network management. This approach aims to meet the key performance indicators (KPIs) required for 5G networks, such as lower latency and higher data rates. Professor Jaumard also investigates network vulnerabilities through machine learning models, working on projects with EXFO to develop autonomous network management agents that can predict and detect network faults in real time. Her methodological approach integrates extensive time series analysis and robust algorithms, contributing to advancements in network reliability and performance assessment.
Administered by the Mel Hoppenheim School of Cinema; focuses on cinematic arts practice and research-creation.