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meetings.html
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<!DOCTYPE html>
<html lang="en">
<head>
<title>Meetings</title>
</head>
<body>
<div id="header"></div><br />
<div class="container">
<div class="row tall-row">
<div class="col-lg-12">
<h1>Lab calendar</h1>
<hr>
</div>
</div>
<p>A lab calendar is kept up-to-date <a href="https://framagenda.org/index.php/apps/calendar/p/Pgdyz3pfzBdZrdiJ/Lab">here</a>
with group and one-to-one meetings.</p>
</div>
<div class="container">
<div class="row tall-row">
<div class="col-lg-12">
<h1>Lab meetings</h1>
<hr>
</div>
</div>
<div class="list-group">
<p>Occur bi-weekly, all lab members should attend.<br>
All lab meetings will be held in room ER 902 unless otherwise specified</p>
<h2>Next</h2>
<ul>
<li>2025/01/24, 1:00pm: Lab Presentation (Niusha)</li>
<li>2025/02/07, 1:00pm: Lab Presentation (Ines)</li>
<li>2025/02/21, 1:00pm: Lab Presentation (Dimitrios)</li>
<li>2025/03/07, 1:00pm: Lab Presentation (Mathieu)</li>
<li>2025/03/21, 1:00pm: Lab Presentation (Hiba)</li>
<li>2025/04/04, 1:00pm: Lab Presentation (Yohan)</li>
<li>2025/05/02, 1:00pm: Lab Presentation (Mina)</li>
<li>2025/05/16, 1:00pm: Lab Presentation (Jacob)</li>
</ul>
<div id="tree_struct">
<h2>
<img id="icon_plus" src="images/bullet_toggle_plus.png"/>
<img id="icon_minus" src="images/bullet_toggle_minus.png" style="display: none"/>
Past
</h2>
<div id="list" style="display: none">
<ul>
<li>2025/01/10, 1:00pm: "Rehearsal Presentation of Defense: Scaling Up Machine Learning for Brain Encoding Models" (Sana)</li>
<li>2024/11/29, 1:00pm: "Practice for the advisory committee presentation" (Jacob)</li>
<li>2024/11/15, 1:00pm: "Reproducibility of fMRI derivatives" (Mina)</li>
<li>2024/11/01, 1:00pm: "Detection of Parkinson's disease from Speech using Machine Learning" (Hiba)</li>
<li>2024/10/04, 1:00pm: "Prediction of Parkinson’s Disease progression from Structural T1 Weighted MRIs using Convolutional Neural Networks" (Dimitrios)</li>
<li>2024/08/23, 1:00pm: "Update on work, specifically regarding NaN pooling" (Ines)</li>
<li>2024/08/09, 1:00pm: "Numerical uncertainty in linear registration" (Niusha)</li>
<li>2024/07/05, 1:00pm: "NeuroCI v2.0: Nipoppy Integration" (Jacob)</li>
<li>2024/06/21, 1:00pm: "New InterFLOP Interfaceand Performance Improvement of Instrumentation by Removing Function Calls" (Yohan)</li>
<li>2024/06/07, 1:00pm: "Parkinson’s Disease Diagnosis and Progression Prediction from Speech using Machine Learning" (Hiba)</li>
<li>2024/05/10, 1:00pm: "Tool Demonstration for Literature Review" (Mathieu)</li>
<li>2024/04/19, 1:00pm: "Scaling up Machine Learning Models for Brain Encoding Models" (Sana)</li>
<li>2024/04/12, 1:00pm: "Numerical Uncertainty in Linear Registration" (Niusha)</li>
<li>2024/03/15, 1:00pm: "Prediction of Parkinson's Disease progression from MRI images: Thesis Introduction" (Dimitrios)</li>
<li>2024/02/23, 1:00pm: "Investigating Numerical Uncertainty of Convolutional Neural Networks for Neuroimaging" (Ines)</li>
<li> 2024/01/19, 1:00pm: "Moving Beyond the Reproducibility Crisis in Neuroimaging" (Tristan)</li>
<li>2024/01/12, 2:00pm: "Reproducibility of fmri Biomarkers for Parkinson's Disease" (Mina)</li>
<li>2023/12/01, 2:00pm: "Update of LivingPark Replication Project Results" (Jacob)</li>
<li>2023/10/20, 2:00pm: "LivingPark - Numerical Variability Analysis of Parkinson Biomarker" (Yohan)</li>
<li>2023/10/13, 2:00pm: "Prediction of Parkinson’s Disease Progression from MRI Images" (Dimitrios)</li>
<li>2023/09/08, 2:00pm: "Lab Presentation" (Elodie)</li>
<li>2023/11/03, 2:00pm: "Project Update" (Mathieu)</li>
<li>2023/09/22, 2:00pm: "Scaling up Brian Encoding Models" (Sana)</li>
<li>2023/08/25, 2:00pm: "Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis" (Ines)</li>
<li> 2023/07/28, 2:00pm: "Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images" (Andrzej)
<li>2023/06/16, 2:00pm: "Scaling up Machine Learning Models for Brain Encoding" (Sana)</li>
<li> 2023/06/02, 2:00pm: "PhD Update Presentation" (Jacob)</li>
<li>2023/05/19, 2:00pm: "PhD Update Presentation" (Mathieu)</li>
<li>2023/05/05, 2:00pm: "Update of Project Progress" (Yohan)</li>
<li>2023/04/14, 2:00pm: "Data stream classification with mondrian forest under memory constraints" (Martin)</li>
<li>2023/03/24, 2:00pm: "The effects of reproducibility & replicability in Parkinson's disease progression prediction using machine learning" (Mohanad)</li>
<li>2023/03/10, 2:00pm: "A simulation-based approach for evaluating replicability of Parkinson's disease neuroimaging biomarkers" (Niusha)</li>
<li>2023/02/24, 2:00pm: "Toward more reliable and efficient calculations: democratising numerical analysis of high-performance computing codes" (Yohan)</li>
<li>2023/01/13, 2:00pm: "Numerical stability of deepGOPlus inference" (Ines)</li>
<li>2022/12/16, 2:00pm: "Reproducibility & replicability for Parkinson disease progression detection using ML" (Mohanad)</li>
<li>2022/12/02, 2:00pm: "Software variability in MRI-derived biomarkers of Parkinson’s disease" (Andrzej)</li>
<li>2022/11/18, 2:00pm: "Mondrian forest for data stream classification under memory constraints" (Martin)</li>
<li>2022/10/07, 2:00pm: "Surveying the neuroCI landscape" (Jacob)</li>
<li>2022/09/23, 2:00pm: "Methodological variability in Parkinson’s disease progression using machine learning" (Mohanad)</li>
<li>2022/09/09, 2:00pm: "Statistical interval for acceptable numerical variability bounds" (Yohan)</li>
<li>2022/08/26, 2:00pm: "Finding the optimal tree count with a memory-bounded mondrian Forest" (Martin)
<li>2022/07/15, 2:00pm: "Footprint project" (Korantin)</li>
<li>2022/06/17, 2:00pm: "Numerical Stability of DeepGOPlus" (Ines)</li>
<li>2022/05/20, 2:00pm: "Root Cause Analysis Frameworks for Information Systems" (Hai)</li>
<li>2022/05/06, 2:00pm: "A Review of Reduced Precision Floating-Point Techniques for Neuroimaging" (Mathieu)</li>
<li>2022/04/22, 2:00pm: "Continuous Testing of Neuroimaging Results Across Pipelines and Datasets" (Jacob)</li>
<li>2022/03/25, 2:00pm: "Methodological Variability in Parkinson’s disease predictions using Machine Learning" (Mohanad)</li>
<li>2022/03/11, 2:00pm: "Ongoing work" (Yohan)</li>
<li>2022/02/11, 2:00pm: "Updating Mondrian Forest Under Memory Constraint" (Martin)</li>
<li>2022/01/28, 2:00pm: "The effect of computational environments on big data processing pipelines in neuroimaging " (Ali)</li>
<li>2022/01/14, 2:00pm: "Data management without reinstrumentation: How to speed up existing Big Data Neuroimaging Workflows" (Valerie)</li>
<li>2021/12/17, 2:00pm: "Numerical stability in Protein Function Prediction" (Ines)</li>
<li>2021/12/03, 2:00pm: "Scaling Up Deep Learning for fMRI Brain Models" (Sana)</li>
<li>2021/11/19, 2:00pm: "A multiverse analysis framework to quantify and leverage tool variability in neuroimaging experiments."(Jacob)</li>
<li>2021/11/05, 2:00pm: "Project Design: Evaluating the performance benefit of reduced precision floating-point in neuroimaging" (Mathieu)</li>
<li>2021/10/22, 2:00pm: "Scaling up Ridge regression model for brain encoding" (Sana)</li>
<li>2021/09/20, 10:00am: "Lab hackathon: Neuroimaging Dynamic Recomputation - Continuous Integration" (Jacob)</li>
<li>2021/08/23, 1:00pm: "A Recommender System for Scientific Datasets and Analysis Pipelines" (Mandana)</li>
<li>2021/07/26, 1:00pm: "PyTracer: Automatically profiling numerical instabilities in Python" (Yohan)</li>
<li>2021/07/12, 1:00pm: "The Effect of Methodological Flexibility on Membrane Protein Classification" (Hamid)</li>
<li>2021/06/28, 1:00pm: "Improving Mondrian Forest by a better usage of memory"(Martin)</li>
<li>2021/06/14, 1:00pm: "Augmenting Network Performance Datasets with Weather, Sports, and Social Media Data for Inproved Predictions" (Shivam)</li>
<li>2021/05/17, 1:00pm: "Scaling Up Deep Learning for fMRI Brain Models" (Sana)</li>
<li>2021/05/03, 1:00pm: "Hackathon, RUIS a tool to obtain performance profile on applications" (Mathieu)</li>
<li>2021/04/19, 1:00pm: "Modeling the linux page cache for accurate simulation of data-intensive applications" (Dzung)</li>
<li>2021/03/22, 1:00pm: "Reproducibility of Big Data Processing Pipelines in Neuroimaging across Operating Systems" (Ali)</li>
<li>2021/03/08, 1:00pm: "The impact of numerical instabilities in neuroscience" (Greg)</li>
<li>2021/02/22, 1:00pm: "Hackathon, Pipeline execution" (Mandana)</li>
<li>2021/02/08, 1:00pm: "PyTracer, Numerical visualizer for Python3" (Yohan)</li>
<li>2021/01/25, 1:00pm: "Lab Organization" (Tristan)</li>
<li>2021/01/11, 1:00pm: "The Mondrian Forest UnderMemory Constraints" (Martin)</li>
<li>2020/12/14, 1:00pm: "Modeling the Linux page cache for accurate simulation of data-intensive applications" (Dzung)</li>
<li>2020/11/30, 1:00pm: "Vulnerability Analysis of Container Images in Neuroimaging" (Bhupinder)</li>
<li>2020/11/16, 1:00pm: "A heuristic to repartition large multi-dimensional arrays with reduced disk seeking" (Timothee)</li>
<li>2020/11/02, 1:00pm: "Membrane Proteins Classification: A Reproducibility Study" (Hamid)</li>
<li>2020/10/26, 1:00pm: "A recommender system for scientific datasets and pipelines" (Mandana)</li>
<li>2020/10/19, 1:00pm: "Continuous testing of neuroimaging results across pipelines and datasets" (Jacob)</li>
<li>2020/10/05, 1:00pm: "Transparent” Data Locality in HPC Clusters" (Mathieu)</li>
<li>2020/09/21, 1:00pm: "Data intensive Deep Learning" (Sana)</li>
<li>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)</li>
<li>2020/07/27, 1:00pm: "Debugging and optimizing floating-point computations in High Performance Computing"(Yohan)</li>
<li>2020/07/13, 1:00pm: "I/O simulation model with Linux page cache" (Dzung)</li>
<li>2020/06/29, 1:00pm: "Implementation and design of the Sea filesystem" (Valerie)</li>
<li>2020/06/15, 1:00pm: "Vulnerability Analysis of Container Images in Neuroimaging" (Bhupinder)</li>
<li>2020/06/01, 1:00pm: "Reproducibility of Big Data Processing Pipelines across Operating Systems" (Ali)</li>
<li>2020/05/18, 1:00pm: "Evaluating Analytical Impact of Observed Instabilities in Diffusion MRI Pipelines" (Greg)</li>
<li>2020/05/04, 1:00pm: "Estimation of Road Accident Risk using Machine Learning" (Antoine)</li>
<li>2020/04/20, 1:00pm: "A reproducibility study on membrane protein classification" (Hamid)</li>
<li>2020/04/06, 1:00pm: "Benchmarking of Data Stream Classifiers on human connected devices" (Martin)</li>
<li>2020/03/23, 1:00pm: "Sequential algorithm to split, merge and resplit multidimensional arrays" (Timothee)</li>
<li>2020/03/09, 12:00pm: "Sea: Enabling efficient data circulation through a FUSE-based filesystem" (Valerie)</li>
<li>2020/02/24, 1:00pm: "Redesigning Lab Practices" (Tristan)</li>
<li>2020/02/10, 1:00pm: "Benchmarking of Data Stream Classifiers" (Martin)</li>
<li>2020/01/27, 1:00pm: "I/O Experiment with page cache" (Dzung)</li>
<li>2019/12/02, 2:00pm: "High-Resolution Road Vehicle Collision Prediction for the City of Montreal" (Antoine)</li>
<li>2019/11/25, 2:00pm: "Automatic tuning of bag-of-tasks applications" (Essam)</li>
<li>2019/11/12, 1:00pm: "Methods for exploring and understanding instability in neuroimaging pipelines" (Greg)</li>
<li>2019/10/28, 2:00pm: "A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines" (Mathieu)</li>
<li>2019/10/21, 2:00pm: "NURM: a tool to locate numerical differences in pipelines" (Ali)</li>
<li>2019/10/07, 2:00pm: "A quantitative comparison of Overlapping and Non-overlapping sliding windows for human activityrecognition using wearable sensors" (Behzad)</li>
<li>2019/09/23, 2:00pm: "Prediction of Membrane Transport Proteins and Their Substrate Specificities Using Primary Sequence Information" (Hamid)</li>
<li>2019/09/09, 2:00pm: Thesis presentation (Timothée)</li>
<li>2019/07/29, 1:30pm: A Conceptual Marketplace Model for IoT Generated Personal Data (Victor)</li>
<li>2019/07/15, 2:00pm: "High-Resolution Road Vehicle Collision Prediction for the City of Montreal" (Antoine)</li>
<li>2019/06/17, 2:00pm: "Reducing energy consumption in connected objects through data summarization" (Bo)</li>
<li>2019/06/04, 2:00pm: "A Literature review of data stream classifiers" (Martin)</li>
<li>2019/05/06, 2:00pm: "Performance Evaluation of Big Data Processing Strategies for Neuroimaging" (Valerie)</li>
<li>2019/04/15, 2:00pm: "Security of Containers" (Bhupinder)</li>
<li>2019/04/08, 2:00pm: "Fatigue Prediction in Rotating-shift Workers" (Tuan)</li>
<li>2019/04/01, 2:00pm: "Reproducibility of Big Data Processing Pipelines in Neuroimaging" (Ali)</li>
<li>2019/03/11, 2:00pm: "How much can we trust results in neuroimaging?" (Greg)</li>
<li>2019/02/11, 2:00pm: "State of /bin" (Tristan)</li>
<li>2019/01/28, 2:00pm: "Time-Series Classification" (Behzad, LB-316(Australia))</li>
<li>2019/01/14, 2:00pm: "Security of containers" (Bhupinder, LB-327(Syria))</li>
<li>2018/12/04, 2:30pm: Lab Presentation (Bo, LB-327(Syria))</li>
<li>2018/11/19, 2:30pm: Lab Presentation (Tuan, LB-327(Syria))</li>
<li>2018/11/12, 2:00pm: Pre-presentation of the final defence (Soudabeh, LB-327(Syria))</li>
<li>2018/11/05, 2:30pm: Effect of Computational Environments on Workflow Results (Ali, LB-327(Syria))</li>
<li>2018/10/22, 2:30pm: Lab Presentation (Martin, tba)</li>
<li>2018/10/08, "Public Holiday (Thanksgiving)"</li>
<li>2018/09/24, 2:30pm: 'Replaced by reading club (Breiman's RF - 2001)' (EV.8.401)</li>
<li>2018/09/07, 2:30pm: Lab Presentation (Soudabeh, EV3.123)</li>
<li>2018/07/27, 2:30pm: "Presentation on CNNs" (Nikita, EV3.123)</li>
<li>2018/07/13, 2:30pm: "Provenance in Apache Spark" (Valerie, EV3.123)</li>
<li>2018/06/29, 11am: Project presentation (Tuan, EV3.123).</li>
<li>2018/06/08, 2:30pm: HBM presentation rehearsal (Ali, EV3.123).</li>
<li>2018/05/11, 2:30pm: "Algorithm of data stream summarization" (Bo, EV3.123).</li>
<li>2018/05/25, 2:30pm: "A Streamlined Approach to Neuroinformatics Experimental Design, Analysis, and Dissemination of Results" (Greg, EV3.123).</li>
<li>2018/03/30, 2:30pm: "A framework to evaluate pipeline reproducibility across operating systems" (Lalet, EV3.123).</li>
<li>2018/03/02, 2:30pm: "Predicting service failures in Supply chain logistics Using Decision Tree and Random Forest" (Monika, EV3.123).</li>
<li>2018/02/23, 2:30pm: "Provenance of non-reproducibility in the HCP pipelines" (Ali, EV3.123).</li>
<li>2018/02/02, 2:30pm: "Collaborative Filtering in repro_tools" (Soudabeh, EV3.101).</li>
<li>2018/01/12, 2:30pm: Numerical stability of motion estimation in fMRI time series (Tristan, EV3.101).</li>
<li>2017/12/06, 2:30pm: Present the IEEE Big Data paper (Valerie, EV3.101).</li>
<li>2017/12/01, 2pm: Introduce the "sam" project and algorithms to split and merge ultra-high resolution image. (Yongping, EV3.101)</li>
<li>2017/10/6: Summary of Summer World Tour. (Greg, Valerie, Lalet, Tristan)</li>
</ul>
</div>
</div>
</div>
<div class="row tall-row">
<div class="col-lg-12">
<h1>Reading club</h1>
<hr>
</div>
</div>
<p>The reading club is a bi-weekly meeting in which lab members get
to share and discuss (pre-)published works related to their research.</p>
<h2>Schedule</h2>
<iframe
src="https://docs.google.com/spreadsheets/d/e/2PACX-1vTFb7RztVx0RfM7mAnuFV5Y2Ds31H3Kqh5k2Jp6sr_7cOKgDIRGSmb3WyPw2CHIW67Cbn7Agz9Fc4ST/pubhtml?widget=true&headers=false" width="77%" height="300px"></iframe>
<h2>Notes</h2>
<p>Please share your notes as GitHub issues in <a href="https://github.com/big-data-lab-team/reading-club/issues">this repository</a>.
You can use <a href="https://github.com/gkiar/reading">Greg Kiar's application</a> to help create new issues from web pages.</p>
<div class="row tall-row">
<div class="col-lg-12">
<h1> One-to-one meetings </h1>
<hr>
</div>
</div>
<div class="list-group">
<ul>
<li>To discuss your own progress and objectives.</li>
<li>Custom schedule, talk with Tristan.</li>
</ul>
</div>
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