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

Neuro-Symbolic Artificial Intelligence: A Reference Model for the Design and Development of Neuro-Symbolic Systems

A reference model for the design and development of Neuro-Symbolic systems

Author: Brandon C. Colelough, William Regli

Coming soon

Paper

Quantifying Hallucinations in Large Language Models on Medical Textbooks

An experimental study enabled by ClinIQLink

Author: Brandon C. Colelough, Davis Bartels, Dina Demner-Fushman

arXiv

Paper

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering

BioNLP 2025 shared task overview for medical question-answering

Author: Brandon C. Colelough, Davis Bartels, Dina Demner-Fushman

arXiv ACL Anthology

Paper

Towards Grounded Hallucination Definitions for Biomedical Question Answering with Reproducible Examples from ClinIQLink

A layered definition framework for biomedical QA hallucinations

Author: Brandon C. Colelough, Davis Bartels, Madeline Bittner, Dina Demner-Fushman

Coming soon

Paper

Relations of Linguistic Features to Guideline-Based Rankings of Medical Answers are Nontrivial

An exploratory analysis of linguistic features in medical answer evaluation

Author: Davis Bartels, Brandon C. Colelough, Dina Demner-Fushman

Coming soon

Paper

Beyond the Prompt: Approaches to Knowledge Boundary Detection in Large Language Models - A Systematic Literature Review

A systematic review of introspective knowledge boundary detection in LLMs

Author: Brandon Colelough, Davis Bartels, Dina Demner-Fushman, Ishan Tamrakar, Kwesi Cobbina, Mike Ledford, Srividya Ponnada, Xinchen Yang, Yuexi Chen

Coming soon

Paper

Reproducibility in Computer Science: An Empirical Multi-Year Replication Study of Neuro-Symbolic AI

An empirical reproducibility study of the Neuro-Symbolic AI literature

Author: Brandon Colelough, Vladimir Martirosyan, Ishan Tamrakar, William Regli, Aditya Kumar, Anh N. Nhu, Dhruv Dubey, Raj Ambavane, Haowei Deng

Coming soon

Paper

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

Projects

ClinIQLink

A medical question-answering benchmark and shared task for evaluating medically oriented language-model systems with expert-verified, source-grounded questions.

Website BioNLP GitHub

MechaTerp

MechaTerp is a comprehensive tool for mechanistic interpretability analysis of large language models, specifically designed to detect semantic path divergences and analyze model behavior deviations.

Project GitHub

Karaoke Machine

An AI-powered karaoke generator that separates vocals from music, generates time-synced lyrics, and displays them in real time during accompaniment playback.

Project

Dance Machine

A split Studio and Play platform for dance ingestion, review, publishing, learner practice, camera capture, feedback, scoring, and future game-mode experiences.

Project

RAG-DAT

A closed-corpus retrieval-augmented question-answering system that grounds answers in verbatim quotes with traceable document, page, section, span, and bounding-box provenance.

Project

LIO

An open hardware experiment to build a low-cost, 3D-printable multispectral diffuse-reflectance scanner for powdered food samples and controlled mixture experiments.

Project page coming soon