Neelofar completed her PhD at the University of Melbourne and has since held a range of academic and professional positions at the University of Melbourne, Monash University, and RMIT. Her research focuses on Automated Software Engineering, Software Engineering for Artificial Intelligence, Artificial Intelligence for Software Engineering, Explainable AI for Software Engineering, Search-Based Software Testing, Testing Autonomous Vehicles (AVs), Quality Assessment of AI-Based Systems including Large Language Models (LLMs) and Pre-Trained Models of Code (PTMs), Algorithmic and Benchmark Fairness in AI-Based Systems, Oracle Problem for Software Testing, and Responsible AI for Social Good.
Automated Software Engineering, Software Engineering for Artificial Intelligence, Artificial Intelligence for Software Engineering, Explainable AI for Software Engineering, Search-Based Software Testing, Testing Autonomous Vehicles (AVs), Quality Assessment of AI-Based Systems including Large Language Models (LLMs) and Pre-Trained Models of Code (PTMs), Algorithmic and Benchmark Fairness in AI-Based Systems, Oracle Problem for Software Testing, and Responsible AI for Social Good.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.