© 2022 iSMART Lab. Powered by Jekyll.
We are part of McGill University and MILA - Quebec AI Institute.
Mar 2025
We successfully held our half-day workshop at WACV 2025 in Tucson, Arizona, focusing on Anomaly Detection. The session highlighted recent advances in foundational models and self-supervised learning. Special thanks to our outstanding keynote speakers and the organizing team. For more details, see here.
Feb 2025
The book Fundamentals of Linear Algebra for Signal Processing—authored by Prof. James Reilly, an expert with over 35 years of signal processing and Machine Learning experience—has been published by Springer Nature! Happy reading!
Feb 2025
iSMART Wins Prestigious Award for Innovations in AI Healthcare! Congratulations to Our Entire Team!
Jan 2025
Congratulations to Alex on successfully transferring to the PhD program at iSMART! He continues his excellent work on LLM and VLM for Autonomous Driving.
Dec 2024
We are being awarded the prestigious Vadasz Scholar McGill Engineering Doctoral Award in support of our research studies. Congratulations to Alex and the iSMART team!
Dec 2024
Congratulations to Sushant for successfully completing his MSc thesis on Data-driven Mechanical Property Prediction. Excellent work, Sushant!
Nov 2024
Congratulations to Bahar and Mohammadreza on successfully defending their PhD theses! Their hard work and dedication have truly paid off!
Oct 2024
iSMART Wins Prestigious Award for Innovations in AI Healthcare! Congratulations to Our Entire Team!
Oct 2024
CTAL: A novel distillation module and framework achieving significant multitask gains with minimal parameters, accepted in the first round (~10% acceptance) at WACV 2025. Congrats to Dimitri and the iSMART Team!
Sept 2024
The iSMART team has been honored with an exclusive invitation to organize ASTAD, a half-day workshop on cutting-edge topics in anomaly detection, including novel AI architectures, large-scale datasets, self-supervised and few-shot techniques, continual learning, interpretability, real-world applications, and LLM integration. ASTAD will take place at the elite Rank A AI conference, WACV 2025, in Tucson, Arizona. For more details, visit ASTAD.
Sept 2024
We’ve been awarded the prestigious Vedas Doctoral Award for our epilepsy research. Congrats to Thomas and the iSMART team!
Aug 2024
Congratulations to Thomas on successfully transferring to the PhD program at iSMART! He continues his excellent work on time series data analysis by leveraging LLMs and VLMs.
Aug 2024
Congratulations to Ali for successfully completing his MSc thesis on Graph-Jigsaw Conditioned Diffusion Model for Video Anomaly Detection. Excellent work, Ali!
Aug 2024
GiCiSAD: the first study to present a unified framework for addressing Spatio-Temporal Dependencies, Region-Specific Discrepancies, and Infinite Variations in Skeleton-Based Video Data received direct first-round acceptance (acceptance rate of ~10 %) at the prestigious Rank A AI Conference, WACV 2025 in Arizona. Congratulations to Ali, Khanh, and the iSMART Team!
Aug 2024
Our Critical Analysis of Anomaly Detection methods is now available here.
July 2024
MOSAD: the first-ever solution for Open-Set Time Series Anomaly Detection is accepted for presentation at the Prestigious Rank A AI Conference, ECAI-24 in Spain! Congratulations to Thomas, Khanh, and the iSMART Team!
June 2024
Part of our research on Unsupervised Continual Clustering, integrating representation learning and clustering with knowledge distillation from lightweight student models, is now available here..
June 2024
iSMART Lab Awarded Substantial Grant in Support of its Ongoing Innovations in Industrial Automation! Congratulations to the entire team!
May 2024
Prof. Armanfard was promoted to Associate Professor (Tenured). Congratulations to the iSMART Team!
May 2024
iSMART Lab awarded a substantial grant for innovations in healthcare and industrial automation – Congratulations to the entire Team!
April 2024
We are being awarded the prestigious and competitive FRQ award in support of our ongoing research on Continual Learning! Congratulations to Zihan and the iSMART team!
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
Congratulations to Mohammadreza on receiving the prestigious Graduate Research Enhancement and Travel (GREAT) award.
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 in Feb 2024 in Vancouver, Canada. Our tutorial will be on Time Series Anomaly Detection.
Oct 2023
iSMART has been awarded a substantial grant to support its ongoing innovations in industrial automation! Congratulations to the entire team!
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 has been honored with an exclusive invitation to lead ASTAD, a half-day workshop on cutting-edge topics in anomaly detection, including novel AI architectures, large-scale datasets, self-supervised and few-shot techniques, continual learning, interpretability, and real-world applications in computer vision. ASTAD will take place at the prestigious Rank A AI conference, WACV 2024, in Waikoloa, Hawaii. For more details, visit ASTAD.
Aug 2023
Congratulations to Damien on successfully completing his MSc thesis on Self-Supervised Continual Learning. Great job, Damien!
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 Rank A AI Conference BMVC 2023 in the UK.
Aug 2023
Congratulations to Denzel on successfully completing his MSc thesis on predicting mechanical properties leveraging physics-informed modeling! Great job, Denzel!
Aug 2023
Congratulations to Dimitri on successfully transferring to the PhD program at iSMART! He continues his excellent work on Multi-task Learning.
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 Rank A AI conference ECML-PKDD 23 (main track) in Italy.
April 2023
iSMART Lab Awarded Substantial Grant in Support of its Ongoing Innovations in Healthcare! Congratulations to the entire team!
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
iSMART and Jewish General Hospital Researchers Awarded Substantial Grant for Their Innovations Research in Healthcare – Congratulations to the Entire Team!
April 2023
We are pleased to be among the ~25 selected groups presenting a 2-hr tutorial at the prestigious Rank A AI Conference 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
Our recent research on human activity recognition has now been published in the high-ranking AI 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 %) at the prestigious Rank A AI conference, AAAI-23 (Main Track) in Washington-DC.
December 2022
Congratulations to Jack for receiving the McGill Engineering Undergraduate Student Award (MEUSMA).
November 2022
Our self-supervised node anomaly detection paper 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.
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
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
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 to support 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.