TEAM
Juan Lanchares Davila
Juan Lanchares Dávila holds a Bachelor’s degree in Physical Sciences (1990), specializing in Automatic Calculation, and a Doctorate in Physical Sciences (1995). Since 2019, he has been a University Professor in the Department of Computer Architecture and Automatic Control at the Faculty of Informatics of the Complutense University of Madrid. Currently, his work focuses on the study of adaptive fault-tolerant hardware for autonomous systems. Specifically, he is working on the study and implementation of digital filters in hardware. Additionally, within this field, he is involved in the implementation of deep neural networks to estimate blood glucose levels from indirect measurements. Among the implemented filters are various types of Kalman filters and particle filters.
J. Ignacio Hidalgo
J. Ignacio Hidalgo is a Professor of Computer Architecture and Technology at the Complutense University of Madrid. He obtained his Doctorate in Physical Sciences, specializing in Computer Science and Automatics, from the same university in 2001. He has supervised 9 doctoral theses and is the Principal Investigator of 3 competitive projects, including Micro-Stress MAP. Since 1995, he has been working on the development, application, and parallelization of evolutionary algorithms and machine learning. He has authored over 70 publications in indexed journals and presented more than 120 papers and communications at conferences.
Oscar Garnica
Since 2007, I have been an Associate Professor at the Faculty of Informatics at the Complutense University of Madrid. Currently, my research within the ABSys group focuses on the design of adaptive wearable hardware, also known as smart devices, for applications in biomedical engineering that implement artificial intelligence and evolutionary computing techniques. The research areas include real-time estimation and prediction of future blood glucose levels in diabetic patients, as well as the development of non-invasive monitoring systems for blood glucose levels.
Jose Manuel Velasco Cabo
José Manuel Velasco Cabo is a collaborating professor at the Complutense University of Madrid and a researcher in the ABSYS group. He holds a degree in Primary Education Teaching, a Bachelor’s degree in Physics, and a Doctorate in Computer Engineering from the Complutense University. He also holds a Master’s degree in Mobile Communications from the Polytechnic University of Madrid. His research interests include bio-inspired algorithms, algorithms for distribution estimation and prediction, and modeling of time series.
Carlos Cervigon Ruckauer
A professor at the Complutense University of Madrid (UCM) since October 2006, he holds a degree in Computer Science from the Polytechnic University of Madrid (1992). From 1993 to 2006, he worked at the University College of Segovia (UCM) and CES Felipe II (UCM). In 2007, he joined the GRASIA group and focused on research in evolutionary algorithms and multi-agent systems. Currently, his research focuses on methods of evolutionary computing and bio-inspired algorithms applied to the analysis and optimization of glucose prediction models in diabetic patients.
Daniel Parra Rodriguez
Bachelor’s and Master’s degrees in Computer Engineering at the Complutense University of Madrid (UCM), currently a doctoral student. Researcher of a specific project from 2020 to 2022. Assistant Teaching and Research Staff (PDI Ayudante) since 2022.
Alberto Gutiérrez Gallego
He has completed his Bachelor’s and Master’s degrees in Computer Engineering at the Complutense University of Madrid. He has worked as a Programming Technology teacher at MATHS informática and as a Big Data Developer at IDOM. Currently, he works as an AI developer for Biztools and is pursuing an industrial doctorate in Artificial Intelligence in collaboration with UCM and Biztools. Additionally, he is a collaborating professor in subjects such as FC, TOC, and EC.
Rodrigo Zamora Bautista
Senior Technician in Multiplatform Application Development (DAM) with experience in Android mobile applications. Currently working with the ABSYS group for the glUCModel project as a developer for its Android application, as well as for other tasks related to programming and web development.
Jorge Alvarado Díaz
Jorge Alvarado Díaz obtained a Bachelor’s degree in Information Technology Engineering in 2016 and a Master’s degree in Research in Engineering and Architecture in 2018, both from the University of Extremadura (UEX). He is currently working on his doctoral thesis on the prediction of glucose levels in diabetic patients using evolutionary algorithms and deep learning.
Laura Millán García
Laura Millán García obtained a Bachelor’s degree in Chemistry in 2016 from the Complutense University of Madrid, and a Master’s degree in Science and Materials Engineering in 2018 from Carlos III University. Currently, she is working on her doctoral thesis titled “Multiscale Analysis of Residual Stresses using Diffraction Methods and Evolutionary Algorithms,” funded by the Micro-Stress Map project. The thesis is co-supervised by the National Center for Metallurgical Research (CENIM), CSIC, and the Faculty of Informatics at Complutense University, under the supervision of the Faculty of Physics at Complutense University.
Wenbo Sun
Wenbo Sun obtained a Bachelor’s and Master’s degree in Computer Engineering at the Complutense University of Madrid (UCM). With a deep interest in machine learning algorithms, he has evaluated four algorithms for real-time detection of people and bicycles during autonomous driving, focusing on testing and evaluations in different hardware environments. He is also dedicated to implementing neural networks in hardware. Since 2023, he has been part of the ABSYS group, working on a wearable artificial intelligence system for decision-making for people with diabetes.
Jorge Koronis
Jorge Koronis holds a Bachelor’s degree in Computer Science from the Complutense University of Madrid. He has developed his professional career in various companies, such as Coritel and La Griega, undertaking roles as a programmer, analyst, and responsible for import and processes. Currently, he is pursuing his doctoral studies in the ABSYS group, focusing on the optimization of hardware architectures for artificial intelligence execution.
Félix Tena
The Industrial Technologies Engineer specializing in Automation and Robotics, holds a Master’s degree in Biomedical Engineering, and is currently immersed in a doctorate focused on the development of a wearable system for predicting blood glucose levels using neural networks. Simultaneously, he serves as a computer vision engineer with artificial intelligence at Arcelormittal Global R&D. His skills stand out in optimizing neural network consumption, as well as in applying artificial intelligence to images and in the field of generative artificial intelligence.
