Rate My Professor Oana Cocarascu

Oana Cocarascu is a Senior Lecturer in Artificial Intelligence in the Department of Informatics at King’s College London, within the Faculty of Natural, Mathematical & Engineering Sciences. She earned a PhD and an MEng in Computing (Artificial Intelligence) from Imperial College London. Cocarascu joined King’s College London in July 2020, advancing to Senior Lecturer, and holds an Honorary Lecturer position in the Department of Computing at Imperial College London. Her research focuses on applied artificial intelligence for real-world applications, specializing in argument mining, explainable AI, machine learning, natural language processing, and symbolic reasoning. Key areas include the robustness of NLP models against perturbations, fact verification systems in the era of large language models, individual fairness metrics, dialect robustness, and argument schemes in ethical debates and LLMs.

As Principal Investigator, she leads the EPSRC-funded project 'A framework for evaluating and explaining the robustness of NLP models' (2024–2027). Her influential publications include 'FEVEROUS: A Benchmark for Fact Verification and Evidence Retrieval for Multimodal Misinformation' (2021, cited over 415 times), 'Argumentative review aggregation and dialogical explanations' (2025, Artificial Intelligence), 'Beyond Consistency: Nuanced Metrics for Individual Fairness' (2025, ACM FAccT), 'FactEval: Evaluating the Robustness of Fact Verification Systems in the Era of Large Language Models' (2025), 'Can Large Language Models Understand Argument Schemes?' (2025, ACL Findings), and 'Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data' (2018). With over 2,000 citations on Google Scholar, her work has substantial impact in AI, NLP, and responsible AI development, aligning with UN Sustainable Development Goal 3. She received the Highly Commended Graduate Teaching Assistant Award from Imperial College London's Faculty of Engineering in 2018.