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Oana Cocarascu holds a PhD and MEng in Computing (Artificial Intelligence) from Imperial College London. Her work primarily focuses on applied research in artificial intelligence, particularly in real-world applications involving machine learning and natural language processing. Cocarascu's research interests include argument mining, explainable AI, and symbolic reasoning. She has contributed to numerous significant publications, including works about interpretability-guided parameter optimization and adversarial defense. Additionally, her scholarly output has been presented at several prestigious conferences, showcasing her expertise in the intersection of AI and ethical considerations. Her research also explores the nuances of individual fairness in AI systems and robust fact-checking mechanisms, revealing her commitment to advancing the field responsibly. Cocarascu is actively involved in mentoring PhD students and postdoctoral researchers, and she leads the Natural Language Processing Group at King's College London, which aims to solve computational problems related to understanding human language.
Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.