Brandon Colelough

Brandon Colelough is a PhD student and postgraduate researcher at the University of Maryland's Department of Computer Science. His research focuses on symbolic-driven explainability in Artificial Intelligence to enhance trust in human-AI interactions. He is advised by Professor William Regli and expected to graduate in June 2028.

Research Interests:

• Ethical Artificial Intelligence
• Trustworthiness of AI systems
• Human-machine teaming dynamics
• Semantic mapping for SLAM
• Neuro-symbolic AI integration
• Environmental mapping optimization

Academic Background:

• Honours Class I graduate from the University of New South Wales
• Alumni of the Australian Defence Force Academy and Royal Military College of Duntroon

Research Trends: Brandon's work spans multiple AI subfields including Neuro-Symbolic AI, SLAM optimization, and deep learning applications. His publications focus on AI explainability, multi-agent systems, and power flow modeling, reflecting interdisciplinary expertise bridging symbolic reasoning with practical implementation challenges.

Professional Affiliation:

• Signals Corps Officer in the Australian Army