© 2022 iSMART Lab. Powered by Jekyll.
We are part of McGill University and MILA - Quebec AI Institute.
April 2024
We are being awarded the prestigious and highly competitive NSERC SGS-M award in support of our ongoing research on epilepsy! Congratulations to Thomas and the iSMART team!
Mar 2024
Part of the results of our research on developing a practical, lightweight abnormal human behavior detection is now available here.
Feb 2024
Our study and results on AI for micro-alloyed steels are published in the journal of ML with Applications ML with Applications.
Jan 2024
Our recent study and results on multi-task learning are now available here.
Jan 2024
Our paper “Deep Reinforcement Learning in Human Activity Recognition : A Survey” has been accepted for publication in the prestigious journal IEEE Trans. on Neural Networks and Learning Systems (TNNLS).
Dec 2023
Our paper “Self-Supervised Anomaly Detection: A Survey and Outlook” has been accepted for publication in the prestigious Journal “Neural Networks” (Elsevier), which is the Official Journal of the International Neural Network Society, European Neural Network Society, and Japanese Neural Network Society.
Nov 2023
iSMART has been featured by Harvard University. For more details, see here.
Oct 2023
Our paper “Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection” has been accepted for publication at the prestigious IEEE Trans. on Knowledge and Data Engineering.
Oct 2023
We are pleased to be among the top research groups invited to hold a tutorial at the prestigious AAAI-24, Feb 2024, in Vancouver, Canada. Our tutorial will be on Time Series Anomaly Detection.
Oct 2023
Our recent study on Open-Set Multivariate Time-Series Anomaly Detection is now available here.
Oct 2023
Our recent study on Explainable Attention for Few-shot Learning is now available here.
Sept 2023
iSMART has been featured in the Media. “FUTURUM: Inspiring the Next Generation of Scientists, Engineers, and Researchers” has developed educational resources based on our lab research and made them available to more than 30 million audiences, including schools, teachers, career advisors, parents, students, and academics. For details, see How Can Intelligent Systems Revolutionise Healthcare?”
Sept 2023
The iSMART team is organizing a workshop on Automated Spatial and Temporal Anomaly Detection (ASTAD), scheduled as a part of the WACV2024 conference in Waikoloa, Hawaii. For details, visit ASTAD.
Aug 2023
Our recent study on Multivariate Time-Series Anomaly Detection with Contaminated Data is now available here.
Aug 2023
Our paper “C3: Cross-instance guided Contrastive Clustering” has been accepted for publication at the prestigious British Machine Vision Conference (BMVC 2023).
June 2023
Our paper “Multi-Representation Learning for Data Clustering” has been accepted for publication at the prestigious IEEE Trans. on Neural Networks and Learning Systems (TNNLS).
June 2023
Our research paper “Multivariate Time-Series Anomaly Detection with Temporal Self-Supervision and Graphs” has been accepted for publication at the prestigious AI conference ECML PKDD 23 (main track).
April 2023
We are awarded three prestigious and highly competitive FRQ-PhD Awards, among the top three, for supporting our exciting projects on AI and applications in healthcare and industrial automation! Congratulations to Hadi Hojjati, Khanh Ho, Dimitrios Sinodinos, and the iSMART team!
April 2023
We are pleased to be among the ~25 selected groups presenting a 2-hr tutorial at the prestigious IJCAI 23, 19th-25th August 2023, Macao, S.A.R. Our tutorial is on Unsupervised Time Series Anomaly Detection.
April 2023
We are extremely proud to be selected to receive the prestigious Vanier-NSERC Canada Graduate Scholarship to continue our research on AI in Healthcare. Congratulations to Khanh Ho and the iSMART team!
Feb 2023
Congratulations to Bahareh Nikpour for receiving the iSMART award in recognition of her significant contributions to the field.
Feb 2023
Our recent research on human activity recognition has now been published in the high-ranking journals Pattern Recognition and IEEE Trans. on Systems, Man, and Cybernetics Systems.
Feb 2023
Our recent study on graph-based anomaly detection is now available here.
January 2023
Congratulations to Khanh Ho on receiving the prestigious Graduate Research Enhancement and Travel (GREAT) award.
January 2023
Our paper on self-supervised anomaly detection is selected for Oral presentation (acceptance rate ~2 %) in AAAI-23 (Main Track).
December 2022
Congratulations to Jack for receiving the McGill Engineering Undergraduate Student Award (MEUSMA).
November 2022
Congratulations to Khanh Ho for receiving the iSMART award in recognition of her significant contributions to the field.
November 2022
Our paper on self-supervised node anomaly detection has been accepted for publication at AAAI-23 (main track; Oral). The preprint can be found here.
November 2022
Our recent result of deep-clusetiirng “C3: Cross-instance guided Contrastive Clustering” is published at arXiv.
September 2022
We are proud of our Ph.D. student Dimitrios Sinodinos for being nominated for the Apple Scholars Ph.D. fellowship in support of his exciting Ph.D. research on Health Smart Home at the iSMART Lab. Congratulations to the iSMART Lab members!
August 2022
We are looking for Postdocs in the area of machine learning and its applications. If you are interested and have a proven publication record, email us your CV at narges.armanfard@mcgill.ca
August 2022
Our recent study on self-supervised anomaly detection, “Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs : Application to Seizure Analysis”, is now available at arXiv.
August 2022
We are extremely proud to be selected to receive the prestigious AGE-WELL Award in Technology and Aging in support of our research on AI for healthcare. Congratulations to Hadi and the iSMART team!
June 2022
We have been awarded three prestigious and highly competitive FRQ Awards for supporting our exciting projects in developing AI algorithms in healthcare and industrial automation! Congratulations to Baha, Mohammadreza, Hadi, and the iSMART team!
May 2022
We are looking for a postdoc to join us for an exciting and interdisciplinary project on AI in Cardiology. Applicants with strong machine learning background (with proven publication records) are encouraged to send their CV to Prof. Armanfard.
May 2022
Congratulations to Khanh Ho for successfully completing her qualifying exam!
May 2022
New preprint “Self-Supervised Anomaly Detection : A Survey and Outlook” is published at arXiv.
May 2022
Congratulations to Hadi Hojjati on receiving the prestigious Graduate Research Enhancement and Travel (GREAT) award in its maximum amount!
May 2022
Congratulations to Dimitrios Sinodinos on receiving the prestigious Graduate Research Enhancement and Travel (GREAT) award!
April 2022
Congratulations to Bahareh Nikpour and Mohammadreza Sadeghi for successfully defending their research proposal.
April 2022
We are being awarded the prestigious and highly competitive NSERC SGS-M award in support of our research studies! Congratulations to Dimitri and the iSMART team!
March 2022
Our paper “Attentive Task Interaction Network for Multi-Task Learning” is accepted for publication in ICPR 2022. The code can be found in the Lab Github.
March 2022
Our recent findings on deep-clustering, “Deep Multi-Representation Learning for Data Clustering”, is now available at TecharXiv.
March 2022
We are being awarded the prestigious Vadasz Scholar McGill Engineering Doctoral Award in support of our research studies. Congratulations to Dimitri and the iSMART team!
March 2022
Our recent study on human activity recognition, “Deep Reinforcement Learning in Human Activity Recognition : A Survey,” is now available at TecharXiv
Feb 2022
Our recent study on multitask learning, “Attentive Task Interaction Network for Multi-Task Learning”, is now available at arXiv
Feb 2022
The iSMART Lab website is launched!
© 2022 iSMART Lab. Powered by Jekyll.
We are part of McGill University and MILA - Quebec AI Institute.