Meetings

Occur bi-weekly, all lab members should attend.
All lab meetings will be held in room ER 902 unless otherwise specified

2025/01/24, 1:00pm: Lab Presentation (Niusha)
2025/02/07, 1:00pm: Lab Presentation (Ines)
2025/02/21, 1:00pm: Lab Presentation (Dimitrios)
2025/03/07, 1:00pm: Lab Presentation (Mathieu)
2025/03/21, 1:00pm: Lab Presentation (Hiba)
2025/04/04, 1:00pm: Lab Presentation (Yohan)
2025/05/02, 1:00pm: Lab Presentation (Mina)
2025/05/16, 1:00pm: Lab Presentation (Jacob)

Past

2025/01/10, 1:00pm: "Rehearsal Presentation of Defense: Scaling Up Machine Learning for Brain Encoding Models" (Sana)
2024/11/29, 1:00pm: "Practice for the advisory committee presentation" (Jacob)
2024/11/15, 1:00pm: "Reproducibility of fMRI derivatives" (Mina)
2024/11/01, 1:00pm: "Detection of Parkinson's disease from Speech using Machine Learning" (Hiba)
2024/10/04, 1:00pm: "Prediction of Parkinson’s Disease progression from Structural T1 Weighted MRIs using Convolutional Neural Networks" (Dimitrios)
2024/08/23, 1:00pm: "Update on work, specifically regarding NaN pooling" (Ines)
2024/08/09, 1:00pm: "Numerical uncertainty in linear registration" (Niusha)
2024/07/05, 1:00pm: "NeuroCI v2.0: Nipoppy Integration" (Jacob)
2024/06/21, 1:00pm: "New InterFLOP Interfaceand Performance Improvement of Instrumentation by Removing Function Calls" (Yohan)
2024/06/07, 1:00pm: "Parkinson’s Disease Diagnosis and Progression Prediction from Speech using Machine Learning" (Hiba)
2024/05/10, 1:00pm: "Tool Demonstration for Literature Review" (Mathieu)
2024/04/19, 1:00pm: "Scaling up Machine Learning Models for Brain Encoding Models" (Sana)
2024/04/12, 1:00pm: "Numerical Uncertainty in Linear Registration" (Niusha)
2024/03/15, 1:00pm: "Prediction of Parkinson's Disease progression from MRI images: Thesis Introduction" (Dimitrios)
2024/02/23, 1:00pm: "Investigating Numerical Uncertainty of Convolutional Neural Networks for Neuroimaging" (Ines)
2024/01/19, 1:00pm: "Moving Beyond the Reproducibility Crisis in Neuroimaging" (Tristan)
2024/01/12, 2:00pm: "Reproducibility of fmri Biomarkers for Parkinson's Disease" (Mina)
2023/12/01, 2:00pm: "Update of LivingPark Replication Project Results" (Jacob)
2023/10/20, 2:00pm: "LivingPark - Numerical Variability Analysis of Parkinson Biomarker" (Yohan)
2023/10/13, 2:00pm: "Prediction of Parkinson’s Disease Progression from MRI Images" (Dimitrios)
2023/09/08, 2:00pm: "Lab Presentation" (Elodie)
2023/11/03, 2:00pm: "Project Update" (Mathieu)
2023/09/22, 2:00pm: "Scaling up Brian Encoding Models" (Sana)
2023/08/25, 2:00pm: "Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis" (Ines)
2023/07/28, 2:00pm: "Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images" (Andrzej)
2023/06/16, 2:00pm: "Scaling up Machine Learning Models for Brain Encoding" (Sana)
2023/06/02, 2:00pm: "PhD Update Presentation" (Jacob)
2023/05/19, 2:00pm: "PhD Update Presentation" (Mathieu)
2023/05/05, 2:00pm: "Update of Project Progress" (Yohan)
2023/04/14, 2:00pm: "Data stream classification with mondrian forest under memory constraints" (Martin)
2023/03/24, 2:00pm: "The effects of reproducibility & replicability in Parkinson's disease progression prediction using machine learning" (Mohanad)
2023/03/10, 2:00pm: "A simulation-based approach for evaluating replicability of Parkinson's disease neuroimaging biomarkers" (Niusha)
2023/02/24, 2:00pm: "Toward more reliable and efficient calculations: democratising numerical analysis of high-performance computing codes" (Yohan)
2023/01/13, 2:00pm: "Numerical stability of deepGOPlus inference" (Ines)
2022/12/16, 2:00pm: "Reproducibility & replicability for Parkinson disease progression detection using ML" (Mohanad)
2022/12/02, 2:00pm: "Software variability in MRI-derived biomarkers of Parkinson’s disease" (Andrzej)
2022/11/18, 2:00pm: "Mondrian forest for data stream classification under memory constraints" (Martin)
2022/10/07, 2:00pm: "Surveying the neuroCI landscape" (Jacob)
2022/09/23, 2:00pm: "Methodological variability in Parkinson’s disease progression using machine learning" (Mohanad)
2022/09/09, 2:00pm: "Statistical interval for acceptable numerical variability bounds" (Yohan)
2022/08/26, 2:00pm: "Finding the optimal tree count with a memory-bounded mondrian Forest" (Martin)
2022/07/15, 2:00pm: "Footprint project" (Korantin)
2022/06/17, 2:00pm: "Numerical Stability of DeepGOPlus" (Ines)
2022/05/20, 2:00pm: "Root Cause Analysis Frameworks for Information Systems" (Hai)
2022/05/06, 2:00pm: "A Review of Reduced Precision Floating-Point Techniques for Neuroimaging" (Mathieu)
2022/04/22, 2:00pm: "Continuous Testing of Neuroimaging Results Across Pipelines and Datasets" (Jacob)
2022/03/25, 2:00pm: "Methodological Variability in Parkinson’s disease predictions using Machine Learning" (Mohanad)
2022/03/11, 2:00pm: "Ongoing work" (Yohan)
2022/02/11, 2:00pm: "Updating Mondrian Forest Under Memory Constraint" (Martin)
2022/01/28, 2:00pm: "The effect of computational environments on big data processing pipelines in neuroimaging " (Ali)
2022/01/14, 2:00pm: "Data management without reinstrumentation: How to speed up existing Big Data Neuroimaging Workflows" (Valerie)
2021/12/17, 2:00pm: "Numerical stability in Protein Function Prediction" (Ines)
2021/12/03, 2:00pm: "Scaling Up Deep Learning for fMRI Brain Models" (Sana)
2021/11/19, 2:00pm: "A multiverse analysis framework to quantify and leverage tool variability in neuroimaging experiments."(Jacob)
2021/11/05, 2:00pm: "Project Design: Evaluating the performance benefit of reduced precision floating-point in neuroimaging" (Mathieu)
2021/10/22, 2:00pm: "Scaling up Ridge regression model for brain encoding" (Sana)
2021/09/20, 10:00am: "Lab hackathon: Neuroimaging Dynamic Recomputation - Continuous Integration" (Jacob)
2021/08/23, 1:00pm: "A Recommender System for Scientific Datasets and Analysis Pipelines" (Mandana)
2021/07/26, 1:00pm: "PyTracer: Automatically profiling numerical instabilities in Python" (Yohan)
2021/07/12, 1:00pm: "The Effect of Methodological Flexibility on Membrane Protein Classification" (Hamid)
2021/06/28, 1:00pm: "Improving Mondrian Forest by a better usage of memory"(Martin)
2021/06/14, 1:00pm: "Augmenting Network Performance Datasets with Weather, Sports, and Social Media Data for Inproved Predictions" (Shivam)
2021/05/17, 1:00pm: "Scaling Up Deep Learning for fMRI Brain Models" (Sana)
2021/05/03, 1:00pm: "Hackathon, RUIS a tool to obtain performance profile on applications" (Mathieu)
2021/04/19, 1:00pm: "Modeling the linux page cache for accurate simulation of data-intensive applications" (Dzung)
2021/03/22, 1:00pm: "Reproducibility of Big Data Processing Pipelines in Neuroimaging across Operating Systems" (Ali)
2021/03/08, 1:00pm: "The impact of numerical instabilities in neuroscience" (Greg)
2021/02/22, 1:00pm: "Hackathon, Pipeline execution" (Mandana)
2021/02/08, 1:00pm: "PyTracer, Numerical visualizer for Python3" (Yohan)
2021/01/25, 1:00pm: "Lab Organization" (Tristan)
2021/01/11, 1:00pm: "The Mondrian Forest UnderMemory Constraints" (Martin)
2020/12/14, 1:00pm: "Modeling the Linux page cache for accurate simulation of data-intensive applications" (Dzung)
2020/11/30, 1:00pm: "Vulnerability Analysis of Container Images in Neuroimaging" (Bhupinder)
2020/11/16, 1:00pm: "A heuristic to repartition large multi-dimensional arrays with reduced disk seeking" (Timothee)
2020/11/02, 1:00pm: "Membrane Proteins Classification: A Reproducibility Study" (Hamid)
2020/10/26, 1:00pm: "A recommender system for scientific datasets and pipelines" (Mandana)
2020/10/19, 1:00pm: "Continuous testing of neuroimaging results across pipelines and datasets" (Jacob)
2020/10/05, 1:00pm: "Transparent” Data Locality in HPC Clusters" (Mathieu)
2020/09/21, 1:00pm: "Data intensive Deep Learning" (Sana)
2020/08/24, 1:00pm: "Numerical Stability of Deep Neural Networks" and continuation of "Debugging and optimizing floating-point computations in High Performance Computing" (Ribal and Yohan)
2020/07/27, 1:00pm: "Debugging and optimizing floating-point computations in High Performance Computing"(Yohan)
2020/07/13, 1:00pm: "I/O simulation model with Linux page cache" (Dzung)
2020/06/29, 1:00pm: "Implementation and design of the Sea filesystem" (Valerie)
2020/06/15, 1:00pm: "Vulnerability Analysis of Container Images in Neuroimaging" (Bhupinder)
2020/06/01, 1:00pm: "Reproducibility of Big Data Processing Pipelines across Operating Systems" (Ali)
2020/05/18, 1:00pm: "Evaluating Analytical Impact of Observed Instabilities in Diffusion MRI Pipelines" (Greg)
2020/05/04, 1:00pm: "Estimation of Road Accident Risk using Machine Learning" (Antoine)
2020/04/20, 1:00pm: "A reproducibility study on membrane protein classification" (Hamid)
2020/04/06, 1:00pm: "Benchmarking of Data Stream Classifiers on human connected devices" (Martin)
2020/03/23, 1:00pm: "Sequential algorithm to split, merge and resplit multidimensional arrays" (Timothee)
2020/03/09, 12:00pm: "Sea: Enabling efficient data circulation through a FUSE-based filesystem" (Valerie)
2020/02/24, 1:00pm: "Redesigning Lab Practices" (Tristan)
2020/02/10, 1:00pm: "Benchmarking of Data Stream Classifiers" (Martin)
2020/01/27, 1:00pm: "I/O Experiment with page cache" (Dzung)
2019/12/02, 2:00pm: "High-Resolution Road Vehicle Collision Prediction for the City of Montreal" (Antoine)
2019/11/25, 2:00pm: "Automatic tuning of bag-of-tasks applications" (Essam)
2019/11/12, 1:00pm: "Methods for exploring and understanding instability in neuroimaging pipelines" (Greg)
2019/10/28, 2:00pm: "A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines" (Mathieu)
2019/10/21, 2:00pm: "NURM: a tool to locate numerical differences in pipelines" (Ali)
2019/10/07, 2:00pm: "A quantitative comparison of Overlapping and Non-overlapping sliding windows for human activityrecognition using wearable sensors" (Behzad)
2019/09/23, 2:00pm: "Prediction of Membrane Transport Proteins and Their Substrate Specificities Using Primary Sequence Information" (Hamid)
2019/09/09, 2:00pm: Thesis presentation (Timothée)
2019/07/29, 1:30pm: A Conceptual Marketplace Model for IoT Generated Personal Data (Victor)
2019/07/15, 2:00pm: "High-Resolution Road Vehicle Collision Prediction for the City of Montreal" (Antoine)
2019/06/17, 2:00pm: "Reducing energy consumption in connected objects through data summarization" (Bo)
2019/06/04, 2:00pm: "A Literature review of data stream classifiers" (Martin)
2019/05/06, 2:00pm: "Performance Evaluation of Big Data Processing Strategies for Neuroimaging" (Valerie)
2019/04/15, 2:00pm: "Security of Containers" (Bhupinder)
2019/04/08, 2:00pm: "Fatigue Prediction in Rotating-shift Workers" (Tuan)
2019/04/01, 2:00pm: "Reproducibility of Big Data Processing Pipelines in Neuroimaging" (Ali)
2019/03/11, 2:00pm: "How much can we trust results in neuroimaging?" (Greg)
2019/02/11, 2:00pm: "State of /bin" (Tristan)
2019/01/28, 2:00pm: "Time-Series Classification" (Behzad, LB-316(Australia))
2019/01/14, 2:00pm: "Security of containers" (Bhupinder, LB-327(Syria))
2018/12/04, 2:30pm: Lab Presentation (Bo, LB-327(Syria))
2018/11/19, 2:30pm: Lab Presentation (Tuan, LB-327(Syria))
2018/11/12, 2:00pm: Pre-presentation of the final defence (Soudabeh, LB-327(Syria))
2018/11/05, 2:30pm: Effect of Computational Environments on Workflow Results (Ali, LB-327(Syria))
2018/10/22, 2:30pm: Lab Presentation (Martin, tba)
2018/10/08, "Public Holiday (Thanksgiving)"
2018/09/24, 2:30pm: 'Replaced by reading club (Breiman's RF - 2001)' (EV.8.401)
2018/09/07, 2:30pm: Lab Presentation (Soudabeh, EV3.123)
2018/07/27, 2:30pm: "Presentation on CNNs" (Nikita, EV3.123)
2018/07/13, 2:30pm: "Provenance in Apache Spark" (Valerie, EV3.123)
2018/06/29, 11am: Project presentation (Tuan, EV3.123).
2018/06/08, 2:30pm: HBM presentation rehearsal (Ali, EV3.123).
2018/05/11, 2:30pm: "Algorithm of data stream summarization" (Bo, EV3.123).
2018/05/25, 2:30pm: "A Streamlined Approach to Neuroinformatics Experimental Design, Analysis, and Dissemination of Results" (Greg, EV3.123).
2018/03/30, 2:30pm: "A framework to evaluate pipeline reproducibility across operating systems" (Lalet, EV3.123).
2018/03/02, 2:30pm: "Predicting service failures in Supply chain logistics Using Decision Tree and Random Forest" (Monika, EV3.123).
2018/02/23, 2:30pm: "Provenance of non-reproducibility in the HCP pipelines" (Ali, EV3.123).
2018/02/02, 2:30pm: "Collaborative Filtering in repro_tools" (Soudabeh, EV3.101).
2018/01/12, 2:30pm: Numerical stability of motion estimation in fMRI time series (Tristan, EV3.101).
2017/12/06, 2:30pm: Present the IEEE Big Data paper (Valerie, EV3.101).
2017/12/01, 2pm: Introduce the "sam" project and algorithms to split and merge ultra-high resolution image. (Yongping, EV3.101)
2017/10/6: Summary of Summer World Tour. (Greg, Valerie, Lalet, Tristan)

The reading club is a bi-weekly meeting in which lab members get to share and discuss (pre-)published works related to their research.

Lab calendar

Lab meetings

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Past

Reading club

Schedule

Notes

One-to-one meetings