Timothy Wong

Talks and presentations

Technical presentations by Timothy Wong on AI, machine learning and data science.

2026

  1. Agentic AI Systems for Cloud Migration: Embeddings, Orchestration, and Azure Integration

    Talk at EARL 2026 (Enterprise Application of the R Language), Brighton, United Kingdom

2024

  1. Using Linear Programming for Route Planning and Job Scheduling

    Talk at Enterprise Application of the R Language, Brighton, United Kingdom

2019

  1. Large-Scale Time Series Forecasting in Apache Spark

    Talk at EARL 2019 (Enterprise Application of the R Language), London, United Kingdom

2018

  1. Signal Analysis using Deep Learning

    Talk at Hong Kong Machine Learning Meetup, Hong Kong

  2. Modelling Field Operation Capacity using Generalised Additive Model and Random Forest

    Talk at The Conference for Users of R (useR!) 2018, Brisbane, Australia

  3. Generalised Additive Model for Gas Boiler Breakdown Demand Prediction

    Lightning Talk at European R User Meeting 2018 (eRum), Budapest, Hungary

  4. Deep Neural Network Training and Applications

    Talk at Bristol Data Scientists Meeting, Bristol, United Kingdom

2017

  1. Text Mining for Preventative Maintenance

    Talk at Köln R User Group, Cologne, Germany

  2. Analysing High-Frequency Industrial Component Failure using Text Mining Techniques

    Talk at EARL 2017 (Effective Application of the R Language), London, United Kingdom

  3. Parallelised Time Series Spike Detection using R on the Hadoop Platform

    Poster at The Conference for Users of R (useR!) 2017, Brussels, Belgium

2016

  1. Multi-seasonal Time Series Modelling using Recurrent Neural Nets

    Talk at EARL 2016 (Effective Application of the R Language), London, United Kingdom