Peter Anthony

Peter is a researcher in artificial intelligence and machine learning, specializing in explainable and trustworthy AI. His work particularly explores the development of interpretable machine learning approaches. His broader research interests include interpretable neural models, neuro-symbolic approaches, knowledge representation, and natural language processing.He received his PhD in Applied Informatics from Comenius University Bratislava and holds a Master’s degree in Computer Engineering from Fırat University in Elazığ, Türkiye. His doctoral research focused on explainable AI for malware detection. He undertook research stays at the Siena Artificial Intelligence Lab (SAILab) in Italy and the Privacy and Security Unit at TU Wien in Austria, and participated in national and international research activities and collaborations.