Rate My Professor Tony Savarimuthu

Savarimuthu's research focuses on multi-agent systems—a branch of artificial intelligence, particularly normative multi-agent systems—software engineering, information systems, and computing education, employing data science and analytics techniques. His work involves developing socially aware software, such as for robots, that learns human concepts including social norms, trust, and reputation for interactions; analyzing developer social networks and decision-making from repositories; extracting insights from app reviews; and AI applications for social good like crime mapping from newspaper data, offensive language detection in online communities, preventing useless data generation, and addressing energy poverty. Key publications include 'Norm creation, spreading and emergence: A survey of simulation models of norms in multi-agent systems' (Savarimuthu & Cranefield, 2011, cited 210 times), 'Extracting crime information from online newspaper articles' (Arulanandam, Savarimuthu & Purvis, 2014, cited 126 times), 'Social norm emergence in virtual agent societies' (Savarimuthu et al., 2009, cited 104 times), and recent papers such as 'Evaluating LLM alignment with human trust models' (Debnath et al., 2026) and 'Can LLMs reason about trust? A pilot study' (Debnath et al., 2025). With 2,783 citations on Google Scholar, his contributions have impacted artificial intelligence and software engineering fields. He has supervised numerous PhD, Masters, and Honours students to completion and teaches courses like COMP 120 Practical Data Science and INFO 201 Developing Information Systems I. In October 2024, he delivered his Inaugural Professorial Lecture.