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Hi there 👋

I am Hans, an engineer who lives in Burnaby, British Columbia. With a background in Electrical Engineering and a specialization in radar, I am now transitioning into Deep Learning as a graduate student at Simon Fraser University. My favorite language is Python. I am proficient in LaTeX and TikZ.

My work 🔭

In recent times, I have been interested in Collaborative Intelligence, an Artificial Intelligence deployment strategy that leverages compute resources on the edge and in the cloud to make deep neural network computations faster and more efficient. Starting from Deep Feature Transmision Simulator developed by SFU's Multimedia Lab, I adapted the simulator for compatibility with TensorFlow version 2 and extended it with several new capabilities in this repo. In addition to this, I developed a new tensor completion method for collaborative intelligence, which led to a conference publication at ICIP 2021 in Anchorage, AK. DFTS2 with error concealment methods that I implemented led to a second publication at VCIP 2021 in Munich, Germany.

Ask me about 💬

  • Target tracking, state estimation & radar target tracking.
  • Radar signal and data processing & radar system simulation.
  • Orbit determination & astrodynamics simulations.
  • Image classification with ConvNets.

How to reach me 📫

By email.

Fun fact ✨

I was born in paradise! My country of birth, Mauritius, is known as paradise island.

Hans Dhondea's Projects

ashivd_project_euler icon ashivd_project_euler

My solutions to Project Euler problems. These are first pass solutions, so my code is not optimized in any way.

beautiful-jekyll icon beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

coursera-ml-py icon coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

dfts icon dfts

DFTS: Deep Feature Transmission Simulator

dfts2 icon dfts2

Deep Feature Transmission Simulator (DFTS) - compatible with TensorFlow version 2.

dfts_compat_v1 icon dfts_compat_v1

Deep Feature Transmission Simulator which runs in tensorflow.compat.v1

digiprocpy icon digiprocpy

General library to perform computational/numerical signal/image/data processing work.

icip2021-caltec-slides icon icip2021-caltec-slides

Presentation slides for ICIP 2021 paper "CALTEC: CONTENT-ADAPTIVE LINEAR TENSOR COMPLETION FOR COLLABORATIVE INTELLIGENCE"

islrv2_r_self_study icon islrv2_r_self_study

Introduction to Statistical Learning with Applications in R - Second Edition - Self-study in R

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

marksbrown icon marksbrown

Static site hosted on github generated using Pelican

neuralnetworksanddeeplearning.com.pdf icon neuralnetworksanddeeplearning.com.pdf

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

ns-3-dev-git icon ns-3-dev-git

GitHub read-only mirror of ns-3-dev repository, will be kept in sync with main GitLab.com repository. Please do not file pull requests here; instead, file issues and merge requests at gitlab.com.

pythonutilities icon pythonutilities

Python scripts to automate utility functions which help in development work

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