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@NSU-ACM-SC @UMDimReduction

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aaneloy/README.md

Asif Ahmed Neloy

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I'm a Teaching Professor at the Department of Computing Studies and Information Systems, Douglas College in New Westminster, British Columbia. Currently, I am teaching courses on Advanced Databases, System Analysis and Design, Data Analytics, and Fundamental Machine Learning. Aside from my teaching, I am actively pursuing theoretical and applied research related to Probabilistic and Bayesian Modeling, Anomaly Detection, Dimension Reduction, and interdisciplinary applications of Auto-Encoders. Previously, I taught undergraduate and graduate courses at Vancouver Island University, University of Manitoba and North South University.

I obtained my MSc in Computer Science Degree from University of Manitoba, supervised by Dr. Maxime Turgeon and Dr. Cüneyt Akçora, where I focused on Dimension Reduction and Anomaly Detection using Unsupervised Machine Learning. Along with Unsupervised settings, I researched on various Data Analytics methods, including Feature Extraction, Two-staged Modeling approach, Statistical Modeling under Dimension Reduction Lab and NSERC CREATE fund on The Visual and Automated Disease Analytics (VADA) graduate training program. Prior to that, I worked with Dr. Shahnewaz Siddique and Zunayeed Bin Zahir on interdisciplinary research topics including Robotics, Recommender Systems, Health Informatics and Computer Vision.


My research interests lie in the intersection of Supervised and Unsupervised Machine Learning, with a specific focus on Probabilistic and Bayesian Modeling, Anomaly Detection, and Dimension Reduction. I am currently exploring the intricacies of Auto-Encoders and their applications in Variational and Gaussian modeling. My work delves into the statistical interpretation and visualization of Unsupervised Machine Learning algorithms, emphasizing dimension reduction and anomaly detection. Additionally, I contribute to the field of Data Engineering by developing interactive Python packages for tasks such as Data Cleaning, Visualization, Model Interpretation, Data Scaler Selection, and Statistical Analysis. Explore some of my Python packages on PyPI.

Recent News

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  1. scaler_selector scaler_selector Public

    Data Scaler is an open-source python library to select the appropriate data scaler for your Machine Learning model.

    Jupyter Notebook

  2. Workshop-on-Machine-Learning-2018 Workshop-on-Machine-Learning-2018 Public

    This repo contents all the information regarding workshop on Machine Learning held by NSU ACM SC.

    Jupyter Notebook 7 3

  3. Face-Mask-Detection-in-Web-Browser Face-Mask-Detection-in-Web-Browser Public

    See demo - https://aaneloy.github.io/Face-Mask-Detection-in-Web-Browser/

    Jupyter Notebook 1 3

  4. DATA2010-Fall2021-Lab DATA2010-Fall2021-Lab Public archive

    Lab Materials for DATA2010-Fall2021 University of Manitoba

    Jupyter Notebook