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Héctor Menéndez obtained his PhD in Computer Science from the Autonomous University of Madrid in 2014, focusing on evolutionary computation applied to machine learning. He has a BSc in Mathematics and a BSc in Computer Science, equivalent to an MSc, both acquired in 2010 and 2012 respectively. Following his relocation to London, he dedicated five years as a postdoctoral research associate in the Software Systems Engineering group at University College London, concentrating on software testing and cybersecurity. His research work encompasses areas including Machine Learning, particularly in classification, clustering algorithms, and deep learning, as well as Software Testing, specifically in automatic test generation and ensuring diversity in testing scenarios. Additionally, he is involved in the fields of Cybersecurity, with a focus on malware analysis and obfuscation, and Quantum Programs design and testing. Menéndez has contributed to significant works in the realm of AI and cybersecurity, participating in multiple peer-reviewed publications and conferences.
Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.