Research
Given my diverse industrial R&D and academic research background, I am interested in a wide variety of topics with equal passion.
- Requirements Engineering— Applications of AI (NLP and ML) in RE
- Empirical Software Engineering— Improving software trustworthiness, in particular o
- Satellite Communications— Dynamic Resource Allocation in Satcom
- Internet of Things— On the applicaiton layer of IoT, and the integration of IoT+AI and IoT+Satcom
Research Funding
- AUD 640,000 to Dr Chetan Arora, A/Prof Vicky Mak and Prof Gleb Beliakov. (2021-2024). Resource Planning and Optimization of Satellite Communication Resources from Australian Defence Science and Technology Group (DSTG)
- AUD 100,000 to A/Prof Markus Wagner, Dr Chetan Arora, Menasha Thilakaratne, Dr Christoph Treude, and Dr Wei Zhang. (2021-2022). Contextually Situated Anomaly Detection Artificial Intelligence for Decision Making Initiative - Phase Two from Australian Defence Science Institute (DSI).
- AUD 20,000 to Dr Chetan Arora. (2020-2021). Automated glossary generation for effective and efficient information extraction from text data Artificial Intelligence for Decision Making Initiative - Phase One from Australian Defence Science Institute (DSI).
- EUR 150,000 to Dr Chetan Arora. (2017). Reconciling NL Requirements and Model-Based Specification for Effective Development of Critical Infrastructure Systems from Luxembourg National Research Fund.
- EUR 140,000 to Dr Chetan Arora. (2013-2016). Enhancing the Automation and Accuracy of Requirements Quality Assurance Processes via Disciplined Use of Natural Language from Luxembourg National Research Fund.
Publications List
Pre-prints for most papers are available on Arxiv and at the bottom of this page.Pre-Prints
- Arora C., Grundy J. and Abdelrazek M. Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs, Book Chapter - GenAI4SE (author preprint) Link
Dissertation
{In my PhD dissertation, I investigated selected facets of requirements analysis in an industrial context and devise, using NLP, novel solutions for automating the analysis tasks under investigation.}