Juan Pardo Albiach

Juan Pardo Albiach is a Full Professor in the Department of Mathematics, Physics and Technological Sciences at CEU Cardenal Herrera University, where he also leads the Embedded Systems and Artificial Intelligence (ESAI) research group. He has held significant academic leadership roles, including Director of the Department of Physical, Mathematical and Computer Sciences (2011–2016) and Deputy Director of several engineering degree programs.

• PhD in Computer Systems Architecture and Technology, Polytechnic University of Valencia
• Computer Science (Physical Systems specialization), Polytechnic University of Valencia
• Data Scientist, Bloomberg School of Public Health, Johns Hopkins University
• Machine Learning Project Specialist in Healthcare, Stanford University School of Medicine

His research focuses on Artificial Intelligence, Embedded Systems, and Machine Learning applications in healthcare, particularly in cognitive impairment screening and neuroprotected cities. He also contributes to energy efficiency through intelligent forecasting models and explores the intersection of technology with social issues like gender violence in digital environments.

Although no recent publications are listed in the provided text, his research portfolio reflects a strong interdisciplinary trend combining computer science with public health, urban planning, and social responsibility.

Scientific Awards:

• Best Teaching Work Award, CEU Ángel Herrera Awards (2024)
• 1st Sandalio Miguel – María Aparicio Research Prize (2020)
• Go Health Awards – Neuroprotected Cities (2019)
• KNOW Alzheimer Foundation - STADA Laboratories (2018)
• Kaggle International Competition – 3rd Prize (2014)
• Multiple CEU Ángel Herrera Research and Teaching Prizes (2011–2015)
• Best Final Degree Project Prize, Generalitat Valenciana (2008)

Juan Pardo has secured three six-year research grants from CNEAI, demonstrating sustained research excellence. He has supervised student projects with real-world impact and led innovation in teaching through case-based learning. His professional engagement includes leadership in research groups and academic administration.

He is actively involved in the CRIDECO (Cognitive Impairment Screening for Neuroprotected Cities) research group and leads the ESAI (Embedded Systems and Artificial Intelligence) group, focusing on intelligent systems for health and urban resilience.