Overview
The Department of Electrical and Computer Engineering invites you to the fourth lecture in the ECE Distinguished Research Lecture Series for 2024–2025.
This in-person talk features Dr. Narges Armanfard from McGill University, who will explore the growing field of anomaly detection in time series data.
Abstract
From detecting fraud in financial systems to predicting system failures in industrial operations, time series anomaly detection (TSAD) is becoming an essential tool across industries.
In this lecture, Dr. Armanfard will present a comprehensive tutorial on state-of-the-art deep learning techniques for detecting anomalies in large-scale time series datasets.
The talk will highlight how deep TSAD enables early detection of irregularities, ensuring system reliability, security, and performance—while also reducing business risk. Ideal for researchers, engineers, and students, this session will offer foundational and advanced insights into one of AI’s most practical and fast-evolving applications.
About the Speaker
Dr. Narges Armanfard is an Associate Professor in the Department of Electrical and Computer Engineering at McGill University, a core member of Mila – Quebec AI Institute, and founder of the iSMART Lab. She holds affiliations with several McGill research centers, including CIM, MiCM, and MIAE.
A McMaster alum, Dr. Armanfard earned her Ph.D. in Artificial Intelligence here before completing her postdoctoral research at the University of Toronto. Her work has earned her numerous awards from organizations such as NSERC, CIHR, Vanier-Banting, and Scale AI. She is a leading voice in AI for health, aerospace, and industrial applications.