Rate My Professor Chetan Arora

Dr. Chetan Arora is a Senior Lecturer in Software Engineering within the Faculty of Information Technology at Monash University, where he currently serves as Director of Education for the Department of Software Systems and Cybersecurity. He holds a PhD in Computer Science from the University of Luxembourg (2016), for which he received the Best PhD Thesis Award in the ICT domain and the Best Computer Science and Communications PhD Thesis Award. Arora also earned an MSc in Informatik specializing in Software Engineering from Technische Universität Kaiserslautern (Germany, 2012), a BTech in Computer Science from Thapar University (India, 2007), and a Graduate Certificate of Higher Education (Learning and Teaching) from Deakin University (Australia, 2021). His career spans academia and industry: prior to Monash, he was Academic Director for coursework research at Deakin University's School of Information Technology; worked in innovation management at SES Satellites in Luxembourg; and held research and development roles at Fraunhofer IESE, Insiders Technologies (both Germany), and Computer Sciences Corporation (India). Arora is a Fellow of the Higher Education Academy (FHEA).

Arora's research focuses on software engineering, requirements engineering, software quality assurance, and applied artificial intelligence, including natural language processing, machine learning, responsible and trustworthy AI-driven systems, and compliance in software development across domains such as satellite communications, Internet of Things, healthcare, finance, and legal information systems. He has garnered significant recognition, including the ACM SIGSOFT Distinguished Paper Award at the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems (MobileSoft@ICSE 2022), Best Paper Awards at the 27th IEEE International Requirements Engineering Conference (RE 2019) and IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2020), Best Demo Award at the 23rd IEEE International Conference on Mobile Data Management (MDM 2022), and multiple grants as Chief or Associate Investigator, such as the RAISE project on responsible AI software engineering capability and the Australian Summer School in Software Engineering (OzSE 2026). Notable publications include 'Ethical concerns of generative AI and mitigation strategies: A systematic mapping study' (Applied Soft Computing, 2026), 'Enhancing large language models for text-to-testcase generation' (Journal of Systems and Software, 2025), 'Efficient Shortest Path Computation for Electric Vehicles in Time-Dependent Networks' (Australasian Database Conference, 2024), 'Are Problem-Solving Assessments More Effective for Evaluating Learning in Computing Engineering Education?' (2025), and 'Enhancing Engagement and Learning in Computing Education: Automated Moodle-Based Problem-Solving Assessments' (2025). With over 3,000 citations, his contributions bridge theory and practice, influencing industry-adopted research outcomes and PhD supervision in requirements engineering and AI testing.