MANUEL LAMA PENIN

Manuel Lama Penín is a Full Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Electronics and Computing within the School of Engineering. He is a member of the CITIUS research center and the GSI (Grupo de Sistemas Intelixentes) research group, with prior involvement in the TecnoEduc (Technology in Education) group. His doctoral thesis (2000) focused on knowledge modeling and architecture for therapeutic expert systems in intensive care units, advised by Dr. Senén Barro and Dra. María Jesús Taboada Iglesias.

His research expertise spans Process Mining, Artificial Intelligence, and Data Science with applications in healthcare informatics, business process optimization, and educational technologies. Key contributions include frameworks for predictive monitoring (e.g., VERONA library), declarative process alignment (DeclareAligner), and conversational agents for process mining (C-4PM). He also explores explainable AI, semantic web technologies, and natural language generation for process documentation.

His work intersects interdisciplinary areas like healthcare workflows, cloud-based process analysis, and machine learning for event log analysis. Notable projects include semantic annotation of educational resources, adaptive learning systems (SoftLearn platform), and service composition algorithms. His research is supported by collaborations with healthcare institutions and industry partners.

Dr. Lama Penín has contributed to over 70 peer-reviewed publications since 2000, emphasizing methodological advancements in process intelligence, AI-driven analytics, and educational technology integration. His work addresses challenges in process variability detection, real-time monitoring, and bridging technical systems with human-centric processes.