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drowning at a speed of light
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Highlights

  • Pro

Organizations

@NSU-ACM-SC @UMDimReduction @UBC-MFRE @Training-Arc-Gaming

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aaneloy/README.md

Asif Ahmed Neloy

Gmail LinkedIn Connect aaneloy

I am an Adjunct Faculty member in the Faculty of Land and Food Systems at the University of British Columbia (UBC). I teach programming, algorithms, networking, computer vision, databases, machine learning, and analytics. Outside of research and teaching, my professional track includes senior data science appointments in industry settings.

My research focuses on anomaly detection, representation learning, and probabilistic and Bayesian modeling. I have also worked extensively in robotics, recommender systems, health informatics, and computer vision, including earlier collaborations with Dr. Shahnewaz Siddique.

In a previous life, I was an Information Analyst and Data Scientist with Advanced Chemical Industries (ACI) PLC, where I led a forecasting accuracy program for supply planning and built a standardized KPI layer with an executive reporting suite. Later, at Daris Properties Ltd. I worked as a Data Analyst with a machine learning concentration, developing portfolio and leasing dashboards and building ML prototypes to support portfolio decision making.


Recent News

  • [August 2025] Led a week long MFRE bootcamp and workshop series on Python and R covering data access, visualization, and coding for economic analysis.
  • [April 2025] Supervised graduate students in the UBC MFRE Summer Program.
  • [November 2024] My paper titled "Disentangled Conditional Variational Autoencoder for Unsupervised Anomaly Detection" was accepted at the IEEE Big Data Conference (IEEE BigData 2024), Washington, D.C., December 15 to 18, 2024. IEEE Xplore
  • [July 2024] My paper titled "A Comprehensive Study of Auto-Encoders for Anomaly Detection: Efficiency and Trade-offs" was published in Machine Learning with Applications. ScienceDirect
  • [June 2024] Received Research Dissemination Present and Research Dissemination Publish Grant from Douglas College
  • [December 2023] Joined Douglas College, New Westminster Campus as a Full-time Regular Faculty Member..
  • [August 2023] Started my new journey as a Faculty Member, at the Vancouver Island University.
  • [May 2023] Promoted to Machine Learning Engineer, Daris Properties Ltd.
  • [February 2023] Lastest Published Conference Paper - Feature Extraction and Prediction of Combined Text and Survey Data using Two-Staged Modeling
  • [January 2023] My Msc dissertation, Dimension Reduction and Anomaly Detection using Unsupervised Machine is now online
  • [November 2022] Guest Lecture, Introduction to Python and Numpy, STAT-447: Statistical Machine Learning for Data Science, Department of Mathematics and Statistics, University of Saskatchewan
  • [September 2022] Received Graduate Travel Award from University of Manitoba, NSERC CREATE VADA Program
  • Stuff I work with

    c chartjs cplusplus css3 d3js html5 javascript mssql mysql opencv pandas python pytorch scikit_learn seaborn tensorflow

    aaneloy

    External Websites

    Python Packages

    aaneloy aaneloy aaneloy

    licensebuttons by-nc-sa

Pinned Loading

  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 8 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