Summary
Oresti Legrán is a Full Professor of Systems Engineering and Automatics at the University of Granada with over a decade of international research and academic experience in wearable, ubiquitous, and mobile computing for digital health. His work blends machine learning, AI and smart sensing to build human-aware, context-driven intelligent coaching systems applied to conditions from cancer and diabetes to mental health and stroke. He has held research and teaching roles across Europe and Asia—including leadership at Kyung Hee University’s Ubiquitous Computing Lab and research partnerships at ETH Zurich, TU/e and University of Twente—and serves as an independent evaluator for the European Commission. Beyond academia, he has advised health-tech spin-offs on advanced sensing and AI, translating research prototypes into clinical and commercial validation. Known for pursuing technology for social good, he aims to automate deep comprehension of human behaviour to anticipate individual and population-level outcomes. His background uniquely combines rigorous PhD-level research with hands-on industry impact in eCoaching, IoT and pervasive health systems.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Granada
Spanish, English