Brandon
Colelough



Ph.D Student | AU Fulbright Scholar

ADF Officer | Electrical Engineer

Your Name

Biography

Ph.D. candidate in computer science and Fulbright scholar specializing Explainable AI through Neuro-symbolic approaches with a blended foundation in Computer Science, Electrical Engineering and Software Development. ADF Signals Corps Officer with a proven track record of effective leadership and management core skills able to lead a dynamic range of technically diverse teams. Expertise in evaluating hardware and software systems, proficient across multi-lingual programming languages with a solid foundation in data structures and algorithms. Demonstrates versatility in collaborative and independent projects. Excels in creating scalable, distributed software systems and addressing real-world challenges. Enthusiastic about pushing technology forward and contributing to impactful solutions. With a focus on personal and professional growth, accustomed to working in dynamic environments. Eager to leverage broad technical skills to address technology's greatest challenges and make a substantial impact.

Education

University of Maryland

College Park

Ph.D. Student

2023 - Present

ADF School of Signals

Melboure

ADF Signals Corps Officer

2023

University of New South Wales

Canberra

Electrical Engineering (Hons)

2018-2022

Royal Military College - Duntroon

Canberra

Australian Army GSO

2021

Australian Defence Force Academy

Canberra

Professional Military Education

2018 – 2020

School of Technical Training

Wagga Wagga, Sydney

Aerospace Technical Trade

2017

Employment

National Institutes of Health

Postgraduate Researcher

2024-Present

UMD Department of CS

Teaching Assistant and Graduate Researcher

2023-2024

Australian Defence Force

ADF Signals Corps Officer

2017-Present

Power Earth Engineering

Electrical Engineer

2022

UNSW SEIT

Research Assistant

2019 - 2022

Royal Australian Air Force

Aircraft Technician

2017

Publications

LNSAI 2024 - Survey Paper

Neuro-Symbolic AI in 2024: A systematic review

Author: Brandon Colelough, William Regli

arXiv Paper

ClearComm

Effects of Dataset Sampling Rate for Noise Cancellation through Deep Learning

Author: Brandon Colelough

arXiv Paper

SymboSLAM

Semantic Map Generation in a Multi-Agent System

Author: Brandon Colelough

arXiv Paper

Advancing Frontiers in SLAM

A Survey of Symbolic Representation and Human-Machine Teaming in Environmental Mapping

Author: Brandon Colelough

arXiv Paper

AEMO Model

Australian Energy Market Operator National Electricity Market Network Optimal Power Flow Modelling

Author: Brandon Colelough

arXiv Paper

Enhanced Thermal Management in High-Temperature Applications

Design and Optimization of a Water-Cooled Forced Convection System in a Hollow Cuboid Vapour Chamber Using COMSOL and MATLAB

Author: Brandon Colelough

arXiv Paper

BlackBoard

Advancing Autonomous Target Detection and Mapping: Development of Integrated Software Systems for Monocular Depth Sensing and Dynamic Target Labeling

Author: Brandon Colelough

arXiv Paper

Sheep Labelling Image Dataset

Optimizing Data Diversity for Accurate Prediction Models: Insights from a Multi-Class Sheep Image Data-Set Analysis towards Autonomous Shepherding

Author: Brandon Colelough

arXiv Paper
Email Icon Email Resume Icon Resume LinkedIn Icon LinkedIn GitHub Icon GitHub Instagram Icon Instagram