Trustworthy & Explainable Artificial Intelligence
Developing interpretable, reliable, and responsible AI approaches for data-driven decision-making in complex and safety-critical environments.
Explainable AI · Deep Learning · Predictive ModellingResearch & Innovation
Research That Connects AI with Real-World Impact
My research explores the development and application of artificial intelligence, machine learning, and intelligent computational methods to complex challenges in aviation safety, healthcare, transportation, and other interdisciplinary domains.
Areas of Expertise
Research Focus Areas
Aviation Safety & Intelligent Transportation
Applying machine learning, natural language processing, and advanced analytics to aviation occurrence reports, accident investigation, risk assessment, and transportation safety.
Aviation Safety · Risk Analytics · Transportation AIHealthcare AI & Bioinformatics
Exploring machine learning and intelligent computational methods for biomedical data analysis, clinical prediction, and healthcare decision support.
Healthcare Analytics · Bioinformatics · Medical AINatural Language Processing & Large Language Models
Investigating transformer-based learning, language models, topic modelling, and information extraction from complex unstructured text.
NLP · LLMs · Transformers · Topic ModellingResearch Contributions
Selected Aviation Safety Publications
Deep Learning Approaches for Classifying Aviation Safety Incidents: Evidence from Australian Data
AI · 2025
Semantic Topic Modeling of Aviation Safety Reports: A Comparative Analysis Using BERTopic and PLSA
Aerospace · 2025
Natural Language Processing for Aviation Safety: Predicting Injury Levels from Incident Reports in Australia
Modelling · 2025