Workshops and Tutorials
3rd Workshop on Automated Spatial and Temporal Anomaly Detection (ASTAD) (NIPS 2025)
2nd Workshop on Automated Spatial and Temporal Anomaly Detection (ASTAD) (WACV 2025)
1st Workshop on Automated Spatial and Temporal Anomaly Detection (ASTAD) (WACV 2024)
Deep Learning Methods for Unsupervised Time Series Anomaly Detection (AAAI 2024)
Deep Learning Methods for Unsupervised Time Series Anomaly Detection (IJCAI 2023)
Invited Talks and Distinguished Lectures
5th Edition of Mila’s Partner Symposium | Partner Symposium - 2025
- Prof. Narges Armanfard as Invited Speaker
- Website
Distinguished Research Lecture
- “Anomaly Detection in Time Series Data”
- McMaster University, Hamilton, Canada
- Link
Conference Presentations
2025
- The 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025)
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025)
2024
- 27th European Conference on Artificial Intelligence (ECAI 2024)
- Santiago de Compostela, Spain
- Website
2023
- 34th British Machine Vision Conference (BMVC 2023)
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023)
- Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-2023)
2022
- 26th International Conference on Pattern Recognition (ICPR 2022)
- IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
2021
- IEEE International Conference on Image Processing (ICIP 2021)
- IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021)
- International Joint Conference on Neural Networks (IJCNN 2021)
Teaching Activities
1. ECSE 551 Machine Learning for Engineers (4 credits)
- Instructor: Prof. Narges Armanfard
- Fall 2024, Winter 2024, Fall 2023, Winter 2023, Fall 2022, Winter 2022, Fall 2021, Winter 2021, Fall 2020, Winter 2020
- Course Outline
2. ECSE 206 Introduction to Signals and Systems (3 credits)
- Instructor: Prof. Narges Armanfard
- Winter 2024, Winter 2022, Fall 2021, Fall 2020, Fall 2019
- Course Outline
