Given my diverse industrial R&D and academic research background, I am interested in various topics with equal passion.
Requirements Engineering – I explore how AI—particularly Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Machine Learning—can support, automate, and enhance traditional RE tasks, from requirements elicitation to traceability and validation.
Software Quality Assurance – My research focuses on improving software trustworthiness and reliability, emphasising automation and explainability in the QA lifecycle.
Satellite Communications – Having worked at SES Satellites in the space domain and led a project on dynamic resource management in satellite communication with Australian DSTG, I am adept in investigating intelligent resource optimisation, disaster management and simulation challenges for emerging space missions.
Regulatory Compliance – I work on frameworks and AI-driven tools that support compliance by design in critical software systems.
Ethics of Generative AI in Regulated Domains – I am deeply interested in the ethical implications of deploying generative AI in high-assurance sectors such as healthcare, focusing on bias, transparency, and accountability.
In collaboration with Austria Post (Austria), Starbound Space Solutions (Australia), and eSolutions (Australia). This project explores how LLMs and RAG can support quality assurance pipelines and generate test artefacts from textual software requirements.
Developing an ethics-centered RE framework for responsible adoption of generative AI in regulated healthcare environments.
Investigating how runtime assurance and monitoring can be integrated into RAG pipelines of software and systems engineering projects.
In collaboration with Transurban (Australia), exploring best practices & assurance strategies for operationalising safe LLMs in production environments.
Focused on automating software testing processes using LLMs, including test case generation and test repair.