About me

Project oriented machine learning computer vision PhD and Post-Doc with 5.5 years R&D experience. Looking to leverage R&D skills for industry to develop cutting edge AI powered computer vision applications. Most recently working on the creation of custom image datasets that provide the main entry barrier for companies wanting to get into the AI powered technology space.

What i'm doing

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    Machine Learning Computer Vision

    Applying and adapting cutting-edge neural networks for computer vision applications.

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    Synthetic Image Dataset Creation

    Creation of synthetic datasets for domains where no standard datasets exist.

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    Computer Vision For Robotic Platforms

    Implementation of real time computer vision algorithms onto robotic platforms.

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    High Throughput Automatic Image Labeling

    Overcoming the key limitation to creating large labeled image datasets.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. PhD (Computer Science)
    University of Newcastle, Australia

    Expected graduation: 2023

  2. Masters (Electrical Engineering)
    University of Newcastle, Australia

    Graduated: 2016

  3. Bachelor of Engineering (Aerospace Avionics)
    Queensland University of Technology, Australia

    Graduated: 2012

Experience

  1. Post-Doc Researcher Position, Texas A&M University, USA.

    June 2021 — Present

    • 3D plant mapping system used for mapping species, density, and biomass of cash crops, cover crops, and weeds. Both a hand-held and tractor boom mounted system.
    • Developing a high-throughput automatic annotation weed and cover crop image repository.
    • Training a plant classifier convolutional neural network (CNN).
    • Large USDA led and funded interdisciplinary team.
    • Managed a 6-person field imaging team for creating an autonomously labeled weed image dataset.

  2. PhD program, University of Newcastle, Australia.

    2016 — 2020

    • Localisation system of NUbot’s autonomous humanoid soccer robot for the international RoboCup competition using Bayesian filters and CNN pose estimation.
    • Creation of 3D virtual environment in Blender for generating large amounts of synthetic training images under controlled conditions.

  3. Masters program, University of Newcastle, Australia.

    2013 — 2016

    • Developing a novel biologically-inspired camera-based sky compass for mounting on a UAV.
    • Reverse engineering the Pix4D communications protocol to develop a custom ground station program.