Dr. Roberto Daza
Roberto Daza García received his B.Sc. degree in Telecommunication Engineering from the University of Granada, Spain. He obtained his M.Sc. degree in Telecommunication Engineering from Universitat Oberta de Catalunya and Universitat Ramon Llull – La Salle. He earned his Ph.D. in Computer and Telecommunication Engineering from Universidad Autónoma de Madrid (UAM), with Cum Laude distinction and an International Mention.
He is currently an Assistant Professor in the Department of Computer Science at Universidad Autónoma de Madrid, where he conducts his research within the Group for Advanced Interactive Tools (GHIA). His work focuses on the development of biometric and artificial intelligence technologies applied to education, healthcare, and security.
He conducted a doctoral research stay at the Nagao Lab, Nagoya University (Japan), where he explored innovative approaches to enhancing learning through virtual reality technologies and deep learning methods.
Roberto has published numerous scientific papers in high-impact international journals and conferences. He has received research awards from institutions including the eMadrid network, the Spanish Association for Pattern Recognition and Image Analysis (AERFAI), Universidad Autónoma de Madrid, and the Doctoral Schools of the Community of Madrid.
He has participated in national and European research projects across areas such as e-learning, healthcare, and cybersecurity. He is currently involved in a national project focused on secure online course supervision for the Spanish Army (GNOSS programme), and has also collaborated with major companies including Accenture, Capgemini...
Last publications registered in ORCID :
A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data, 2026, Arxiv. DOI: 10.48550/arxiv.2601.07576
AI-Based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning, 2026. DOI: 10.1007/978-3-032-03870-8_3
SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Reality, 2025. DOI: 10.1145/3728487.3759231
A multimodal dataset for understanding the impact of mobile phones on remote online virtual education, 2025, Scientific Data. DOI: 10.1038/s41597-025-05681-7
AI4Food, a feasibility study for the implementation of automated devices in the nutritional advice and follow up within a weight loss intervention, 2025, Clinical Nutrition. DOI: 10.1016/j.clnu.2025.03.003
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards, 2025, AAAI Workshop on Innovation and Responsibility in AI-Supported Education (iRAISE)
MOSAIC-F: A Framework for Enhancing Students' Oral Presentation Skills through Personalized Feedback, 2025, LASI Spain: Learning Analytics Summer Institute Spain. DOI: 10.48550/arxiv.2506.08634
Oxidative Stress and Inflammation in Hypoxemic Respiratory Diseases and Their Comorbidities: Molecular Insights and Diagnostic Advances in Chronic Obstructive Pulmonary Disease and Sleep Apnea, 2025, Antioxidants. DOI: 10.3390/antiox14070839
ENHANCING ORAL PRESENTATION COMPETENCE WITH A COLLABORATIVE FEEDBACK PROCESS SUPPORTED BY AN ARTIFICIAL INTELLIGENCE APPROACH, 2024. DOI: 10.21125/edulearn.2024.1511
Biometrics and Behavior Analysis for Detecting Distractions in e- Learning, 2024, 26th International Symposium on Computers in Education Siie 2024. DOI: 10.1109/siie63180.2024.10604582
DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation With Application to e-Learning, 2024, IEEE Access. DOI: 10.1109/access.2024.3437291
VAAD: Visual Attention Analysis Dashboard Applied to e-Learning, 2024, 26th International Symposium on Computers in Education Siie 2024. DOI: 10.1109/siie63180.2024.10604520
mEBAL2 database and benchmark: Image-based multispectral eyeblink detection, 2024, Pattern Recognition Letters. DOI: 10.1016/j.patrec.2024.04.011
AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence, 2023, Database. DOI: 10.1093/database/baad049
Estudio de la Experiencia de Usuario mediante un Sistema de Dashboards de Análisis de Aprendizaje Multimodal, 2023, Proc. XXIII Congreso Internacional de Interacción Persona-Ordenador (Interacción)
M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Education, 2023, Proc. Annual Computers, Software, and Applications Conference (COMPSAC) in the Workshop on Open Education Resources. DOI: 10.1109/compsac57700.2023.00241
MATT: Multimodal Attention Level Estimation for e-learning Platforms, 2023, Proc. AAAI Workshop on Artificial Intelligence for Education
User experience study using a system for generating multimodal learning analytics dashboards, 2023, ACM International Conference Proceeding Series. DOI: 10.1145/3612783.3612813
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms, 2023, Proc. AAAI Conference on Artificial Intelligence (Demonstration). DOI: 10.1609/aaai.v37i13.27066
ALEBk: Feasibility study of attention level estimation via blink detection applied to e-learning, 2022, Proc. AAAI Workshop on Artificial Intelligence for Education
Improving Parkinson Detection using Dynamic Features from Evoked Expressions in Video, 2021, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. DOI: 10.1109/cvprw53098.2021.00172
Heart rate estimation from face videos for student assessment: experiments on edBB, 2020, Proc. of Annual Computers, Software, and Applications Conference. DOI: 10.1109/compsac48688.2020.00031
edBB: Biometrics and Behavior for Assessing Remote Education, 2020, Proc. AAAI Workshop on Artificial Intelligence for Education
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation, 2020, Proc. Intl. Conf. on Multimodal Interaction. DOI: 10.1145/3395035.3425257
KBOC: Keystroke Biometrics Ongoing Competition, 2016, Proc. Intl. Conf. on Biometrics Theory, Applications and Systems. DOI: 10.1109/btas.2016.7791180
KBOC: Plataforma de Evaluacion de Tecnologias de Reconocimiento Biometrico Basadas en Dinamica de Tecleo, 2016, XXXI Simposium Nacional de la Union Cientifica Internacional de Radio