Alberto Garcés Jiménez is an Assistant Professor at the Department of Computer Science, University of Alcalá. He is affiliated with the HCIS (Health Computing and Intelligent Systems) research group, focusing on interdisciplinary applications of artificial intelligence in healthcare and smart cities. His work integrates optimization algorithms, machine learning, and IoT technologies to address challenges in energy efficiency, predictive health monitoring, and intelligent system design. He earned his PhD in Computer Science from the University of Alcalá in 2020 with a thesis titled *Mejora de la eficiencia energética de ciudades inteligentes aplicando técnicas de soft computing* (Improving Energy Efficiency in Smart Cities Using Soft Computing Techniques), supervised by Dr. José Manuel Gómez Pulido and Dr. Alvaro Jose Garcia Tejedor. Key research interests include metaheuristic optimization, healthcare informatics, smart building automation, and IoT-enabled fault detection. His recent work emphasizes predictive models for hypotension in dialysis patients, imputation techniques for medical data, and energy-efficient HVAC control systems. He has also explored cloud-based platforms for early disease diagnosis and structural analysis of entrepreneurial intent in students. Publications span topics from feature selection algorithms to KNX home automation simulators, reflecting a blend of theoretical advancements and practical applications. Collaborations include industrial IoT fault detection case studies and comparative analyses of genetic/swarm algorithms for HVAC systems.






