Find Academic Supervisors

• Statistical Modeling
• Biostatistics
• Biomedicine
• +7 more

Dae-Jin Lee is an Assistant Professor at IE University’s School of Science and Technology, specializing in statistical modeling and data science. Previously, he served as a Research Line Leader at the Basque Centre for Applied Mathematics (BCAM) and coordinated the Knowledge Transfer Unit in Data Science/AI. His academic background includes a Ph.D. in Mathematical Engineering (2010) from Universidad Carlos III de Madrid and postdoctoral research at CSIRO (Australia). His research focuses on statistical methods for complex data, including penalized splines, tensor product smooths, and applications in biomedicine, epidemiology, environmental science, and sports analytics. He has led multidisciplinary projects funded by public and industry grants, collaborating globally with experts across fields like engineering, medicine, and biology. Key research themes include predictive modeling for health outcomes (e.g., SARS-CoV-2 pneumonia severity), sports injury prevention, and AI in healthcare. His work integrates machine learning with traditional statistical techniques, addressing real-world challenges like pedestrian dynamics simulations and automated medical diagnostics. He is actively involved in scientific organizations, including the Spanish Biostatistics Society and the Statistical Modelling Society. His recent publications highlight innovations in growth curve modeling, AI ethics, and spatiotemporal data analysis, reflecting his commitment to advancing both theoretical and applied statistics.

• Internet of Things
• Transport Protocol
• Cybersecurity
• +8 more

Alan Briones Delgado is a researcher at the La Salle School of Engineering , Universitat Ramon Llull , with a focus on Internet of Things , Cybersecurity , and Transport Protocols . His work spans projects funded by the European Commission and national grants, including EXCEL4HOUSING4.0 , WeB-Nimbus , and NG-SOC , addressing challenges in cloud computing education, ecological monitoring, and security operations. His research integrates Artificial Intelligence and Wireless Sensor Networks for sustainable solutions. Key research areas include Quality of Service in heterogeneous networks, Environmental Conservation via IoT, and Teaching and Learning strategies for Big Data. Projects like EcoSentinel and BTL-COP highlight his commitment to Environmental Monitoring and Community Policing applications. His collaborations extend to institutions in the UK , Albania , and Western Balkans . Contact: alan.briones@salle.url.edu

Felix Gomez MarmolView profile

Associate Professor

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +5 more

Felix Gomez Marmol is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Information and Communication Engineering. His research focuses on cybersecurity, artificial intelligence, network security, and IoT security. He holds a PhD in Computer Science from the University of Murcia (2010), supervised by Dr. Gregorio Martínez Pérez. Key research interests include adaptive intrusion detection systems, dark web analysis, and AI-driven cybersecurity frameworks. He leads the Intelligent Systems and Telematics research group and previously contributed to the Sistemas Inteligentes group. His work emphasizes practical applications such as the SCORPION Cyber Range platform for cybersecurity training and gamification. Recent projects involve detecting hate networks on social media, optimizing malware defense using transfer learning, and developing SIEM systems for IoT environments. His contributions span technical papers on cybersecurity education, ethical hacking fundamentals, and blockchain-based security solutions. Prof. Gomez Marmol has collaborated on initiatives like the COBRA framework for simulating advanced persistent threats (APTs) and the COnVIDa dashboard for pandemic-related data analysis. His research bridges theoretical advancements with real-world cybersecurity challenges.

• Procedural Law
• Criminal Procedure
• Chain of Custody
• +3 more

Andrea Jamardo Lorenzo is an Assistant Professor at the University of León , affiliated with the School of Law and working within the Department of Public Law . Her research focuses on Procedural Law , with particular emphasis on Chain of Custody mechanisms, Technology in Law , and Legal Education innovations. Education : PhD in Law from the University of León (2023), thesis titled La cadena de custodia: análisis sistemático , supervised by Dr. Piedad González Granda. Her research explores the legal configuration and technological evolution of chain of custody systems in both national and European contexts. She investigates how digital evidence handling , AI applications , and cybersecurity protocols impact judicial integrity and procedural guarantees. Recent work also addresses pedagogical methods like flipped classrooms and role-playing in legal education. Analysis of her publications reveals trends in criminal procedure reforms , comparative chain of custody models (Spain vs. US), and ethical implications of legal technology . While no scientific awards are documented, her work contributes to debates on judicial efficiency , fundamental rights , and data protection in criminal contexts.

• Emergency Medicine
• Basic Life Support
• Cardiopulmonary Resuscitation
• +5 more

Ernesto Herrera Pedroviejo serves as an Associate lecturer at the Blanquerna School of Health Sciences, Ramon Llull University (URL) in Barcelona, Spain, with an active research profile in emergency medical systems. Contactable via ernestohp1@blanquerna.url.edu and ORCID 0000-0002-4163-4558, his scholarly impact includes 62 citations and an h-index of 4 per Scopus metrics, reflecting contributions to life-saving healthcare innovations. His research centers on Emergency Medicine with specialized expertise in Basic Life Support (BLS) , Cardiopulmonary Resuscitation (CPR) , and technology-integrated medical training. Key investigations include comparative analyses of resuscitation devices (pocket masks vs. bag-valve masks), augmented reality applications for BLS instruction via smart glasses, and novel approaches to aquatic emergency response. His work bridges clinical practice with digital innovation, particularly through video communication systems for dispatcher-assisted bystander interventions and biomechanical assessments of postural stability. Publication trends from 2020-2025 reveal a strategic focus on pilot studies evaluating real-world feasibility of emergency response tools. Dominant themes include technology-enhanced medical education (evident in 2023 AR training studies), device optimization for field use (2020 flotation device research), and advanced resuscitation techniques (2025 mask comparison study). This trajectory demonstrates consistent methodological emphasis on simulation-based validation and human-factor analysis in high-stakes emergency scenarios.

• Health Economics
• Health Services Research
• System Dynamics
• +5 more

Patricia Lucía Barber Pérez is a Full Professor at the University of Las Palmas de Gran Canaria, where she works in the Department of Quantitative Methods in Economics and Management within the School of Economics, Business and Tourism. She is a prominent member of the Health Economics and Public Policies Research Group and serves as Principal Investigator for multiple national and European health workforce planning projects. Her professional activities include teaching courses such as Final Degree Project (Economics), Final Degree Project (Business Administration and Management), and Basic Statistics Applied to the Tourism Sector. Dr. Barber's research focuses primarily on Health Economics with particular emphasis on system dynamics and applied simulation models for healthcare planning and management systems, especially human resources management. Her work encompasses structural models of simultaneous equations and empirical applications in health economics areas including smoking, economic valuation, and equity. She has made significant contributions to understanding healthcare workforce needs, physician supply-demand dynamics, and pandemic economic impacts. The analysis of her recent publications reveals a strong focus on health workforce planning and forecasting, with particular attention to specialist physician needs across various medical fields. Her research employs sophisticated modeling techniques including system dynamics to project future healthcare workforce requirements. A notable trend is her extensive work on pandemic-related economic impacts and healthcare system resilience, reflecting the evolving priorities in health economics research following global health crises. Dr. Barber has participated in numerous research projects funded by the Ministry of Health, European Commission, and local government entities. Her collaborative work extends across Spain and internationally, particularly with Latin American countries on healthcare workforce planning initiatives. She has served as Principal Investigator for major projects including the 2021-2035 Specialist Physician Supply and Demand Report for Spain and various European health initiatives. Her academic contributions span multiple research teams, most notably the Health Economics and Public Policies Research Group at ULPGC. She frequently collaborates with researchers across Spain and internationally, particularly with B. González López-Valcárcel on numerous health economics projects. Her work bridges academic research with practical health policy applications, influencing healthcare planning at regional, national, and European levels.

Luis Javier Miguel GonzálezView profile

Professor

• Energy Systems
• Renewable Energy
• Sustainability
• +3 more

Luis Javier Miguel González is a Professor in the Department of Systems Engineering and Automation at the University of Valladolid since 1997. He has transitioned from early work on automatic fault diagnosis and predictive maintenance to leading research on energy systems dynamics since 2004. He directs the Energy, Economics, and Systems Dynamics research group and has supervised five doctoral theses. His roles include managing the Department of International Development Cooperation, promoting initiatives like the Interuniversity Master's in International Development Cooperation and the University of Valladolid's Development Cooperation Observatory. Research focuses on energy transition pathways, integrating biophysical and socioeconomic constraints through models like MEDEAS. His work addresses systemic challenges such as the land-energy-food nexus, renewable energy variability, fossil fuel depletion, and decarbonization strategies. He has led projects under EU H2020 and national programs, emphasizing interdisciplinary approaches to sustainability. Publications span energy policy analysis, IAM development, and participatory education tools for sustainability. Notable contributions include the WILIAM System Dynamics model and pymedeas open-source software. His research bridges technical modeling with policy implications, addressing global challenges like SDG acceleration and climate mitigation.

Josep M. Font-LlagunesView profile

Professor

• Rehabilitation Robotics
• Biomechanics of Human Movement
• Multibody System Dynamics
• +12 more

Josep M. Font-Llagunes is a Full Professor of Mechanical Engineering at the Polytechnic University of Catalonia (UPC), where he leads the Biomechanical Engineering Lab (BIOMEC) within the Research Centre for Biomedical Engineering (CREB). His work bridges engineering and clinical rehabilitation, focusing on robotics, biomechanics, and computational modeling for human movement disorders. His research interests include rehabilitation robotics, biomechanics of human movement, multibody system dynamics, gait analysis, wearable exoskeletons, and neuromuscular rehabilitation. He employs advanced computational techniques to model human motion and optimize assistive devices, with a strong emphasis on clinical translation. The trends in his recent publications highlight a focus on predictive simulation of human movement, clinical evaluation of exoskeletons, musculoskeletal modeling, and upper limb assessment in neuromuscular diseases. His work integrates biomechanical modeling with wearable sensor technology and virtual reality to enhance rehabilitation outcomes. Agustín de Betancourt y Molina Medal by the Royal Academy of Engineering (2017) OpenSim Outstanding Researcher Award (2018) He actively mentors students and collaborates on numerous research projects involving PhD candidates and postdoctoral researchers. His lab conducts clinical trials and develops novel computational protocols for prosthetic alignment, exoskeleton control, and muscle force estimation. The Biomechanical Engineering Lab (BIOMEC) at UPC is a key hub for innovation in rehabilitation technology, focusing on personalized, evidence-based solutions for gait and upper limb rehabilitation.

• Computer Graphics
• Virtual Reality
• Cultural Heritage Visualization
• +7 more

Carlos Antonio Andújar Gran is a faculty member at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Computer Science. He actively contributes to the academic community through teaching and supervising numerous student projects, particularly in advanced computing domains. His research interests center on the application of computer graphics, virtual reality, and artificial intelligence to real-world problems. Key areas include the 3D visualization and virtual reconstruction of cultural heritage, physically accurate rendering, intelligent segmentation of images, and the use of machine learning and reinforcement learning in sports analytics, particularly for padel. His work bridges technical innovation with practical applications in cultural preservation and sports technology. The recent publications under his supervision reflect a strong trend in digital cultural heritage, with multiple projects focused on tools for virtual visits, reconstruction, lighting simulation, and web-based 3D visualization of heritage models. Another significant trend is the application of AI to padel, including ball and player tracking, virtual coaching, and training virtual agents using reinforcement learning. These projects demonstrate a consistent focus on computer vision, interactive systems, and data-driven modeling. Carlos Antonio Andújar Gran has supervised a substantial number of students, guiding both undergraduate and master's theses. While specific grant information is not available in the text, his sustained supervision across many years suggests active involvement in research projects. He plays a key role in mentoring the next generation of computer scientists at UPC. His work is closely tied to the Department of Computer Science at FIB, where he collaborates with other faculty members such as Imanol Muñoz Pandiella, Núria Pelechano Gómez, and Mohammadreza Javadiha on various student projects, indicating a collaborative research environment focused on graphics, AI, and VR applications.

• Computer Science
• Virtual Reality
• Character Animation
• +6 more

Núria Pelechano Gómez is a Professor at the Universitat Politècnica de Catalunya (BarcelonaTech) , affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Science (CS) . Her work focuses on Virtual Reality , Crowd Simulation , and Character Animation , with a particular emphasis on immersive environments and user interaction. Education: Master's Degree in Innovation and Research in Computer Science (2012) Degree in Computer Engineering (2010) Master's Degree in Computing (2006) Her research explores the integration of Virtual Reality with Artificial Intelligence to enhance user experiences through dynamic crowd modeling, realistic animations, and adaptive navigation techniques. Recent projects highlight her expertise in Motion Matching , Immersive Simulation , and Physics-Based Animation . Key trends in her publications include: Advancements in Virtual Environments and 3D Modeling . Applications of Machine Learning in Navigation Interfaces . Development of Realistic Crowd Behavior and Social Interaction Systems in VR. Focus on User-Centric Design and Embodiment Techniques . Núria has supervised numerous students on topics ranging from Emergency Scenario Modeling to MR Application Development for immersive systems, contributing to the evolution of Immersive Simulation and Game Development methodologies.

• Nursing Education
• Emergency Care
• Simulation-Based Training
• +3 more

Santiago Martínez Isasi is a Professor in the Faculty of Nursing at Universidade de Santiago de Compostela, affiliated with the Department of Psychiatry, Radiology, Public Health, Nursing and Medicine. His research focuses on clinical nursing, emergency preparedness, simulation-based training, and telehealth. He holds a PhD from the University of A Coruña (2013) with a thesis analyzing socio-health conditions of elderly telecare users. His work emphasizes innovation in emergency response training, including BLS education for schoolchildren, lifeguards, and emergency responders. He pioneers low-cost solutions like the ICalled-DIY device for emergency call training and investigates optimal CPR techniques in challenging environments (e.g., nighttime, aquatic settings). His recent studies explore augmented reality smart glasses for resuscitation training and barriers to wound care knowledge among nursing students. Martínez Isasi has collaborated with multidisciplinary teams on projects like the DESLIVES adolescent BLS program and teleassistance protocols. His research consistently bridges clinical practice with educational innovation, prioritizing accessibility and cost-effectiveness. Notable contributions include 8-year longitudinal studies on school-based CPR training and comparative analyses of PPE use during resuscitation. His academic activities include directing the CLINURSID research group (Clinical Nursing, Emergencies, Simulation, and Teaching Innovation) and contributing to nursing curriculum development. He has supervised studies on telecare user health profiles and physiological demands of lifeguards during resuscitation.

Alejandro Laguna SanzView profile

Assistant Professor

• Diabetes Technology
• Glucose Monitoring
• Artificial Pancreas Systems
• +7 more

Alejandro Laguna Sanz is an Assistant Professor in the Department of Electronic Engineering at the School of Engineering, Universitat de València. His work bridges biomedical engineering and clinical diabetes care, focusing on technological solutions for glucose regulation. His research interests include diabetes technology, artificial pancreas systems, glucose monitoring accuracy, and the impact of exercise on glycemic control. He is particularly active in developing and evaluating predictive algorithms for glycemic management, especially in dynamic conditions such as physical activity and post-bariatric hypoglycemia. His work often combines control theory with clinical validation. The recent publications reveal a strong focus on real-world performance of continuous glucose monitors (CGMs), sex-specific responses in women with type 1 diabetes, and innovative interventions like elastic band resistance training and dual-hormone closed-loop systems. His research increasingly integrates population modeling, in silico studies, and virtual education platforms for artificial pancreas training. He is a member of the CLIDET research group (Clinimetry and Technological Development in Therapeutic Exercise), where he contributes to the design and clinical evaluation of advanced monitoring and control systems for metabolic diseases. Alejandro Laguna Sanz earned his PhD from Universitat Politècnica de València with a thesis on uncertainty in postprandial glucose modeling in type 1 diabetes, supervised by Dr. Paolo Rosseti and Dr. Jorge Bondía Company. He has not received any explicitly listed scientific awards in the provided text. He advises students within his research group, though no specific names are listed. His work is supported by collaborative projects in diabetes technology and engineering, particularly in the development of adaptive control systems and clinical validation of glucose monitoring devices. He is involved in both experimental and simulation-based studies.

• Sports Science
• Volleyball Training
• Sports Biomechanics
• +3 more

Aurelio Ureña Espa is a Professor at the University of Granada, affiliated with the Faculty of Sports Sciences and the Department of Physical Education and Sports. His work focuses on volleyball training, biomechanics, and athletic performance. Specializes in volleyball systems, training load monitoring, and technical-tactical analysis Develops methodologies for youth volleyball and dual career development Researches injury prevention, kinematic analysis, and game dynamics Recent publications examine systemic game components in volleyball, workload monitoring, and adaptations in junior matches. He also investigates emotional regulation, academic demands in student-athletes, and digital learning platforms for sports education. His work spans biomechanical studies on jump landings, setter action ranges, and tactical indicators in elite volleyball teams. Teaching activities include tutoring at the University of Granada, with schedules detailed for both semesters. No explicit scientific awards or student advising lists are mentioned in the provided texts.

• Exercise Physiology
• Sports Science
• Muscle Performance
• +3 more

Ismael Martínez Guardado is a faculty member at the School of Life and Nature Sciences, Universidad Nebrija, specializing in Physical Education and Sport. His research focuses on neuromuscular adaptations, hypoxia training, nutritional interventions, and cognitive-motor interactions. Education: PhD in Physical Education and Sport, Universidad de Extremadura (2019). His work bridges exercise physiology with metabolic health, examining: Muscle performance under hypoxic conditions Nutritional modulation of the gut-brain axis Acute fatigue effects on cognitive-motor function Technology impacts on childhood neurodevelopment Article trends emphasize hypoxia training, neuromuscular interventions, and dietary strategies for chronic disease management. He leads the BRABE Research Group (BRAIN & BEHAVIOUR) , integrating interdisciplinary approaches to athlete health and cognitive performance.

• Neuromuscular Taping
• Manual Lymphatic Drainage
• Biomechanics Applied to Physiotherapy
• +7 more

María Jesús Martínez Beltrán is an Adjunct Professor at the School of Nursing and Physiotherapy San Juan de Dios, Pontifical University of Comillas. She holds a Doctorate in Biomedicine and Health Sciences from Universidad Europea de Madrid and has been teaching since 2012, specializing in Physiotherapy, Biomechanics, and Palliative Care. Her research focuses on neuromuscular taping, manual lymphatic drainage, and biomechanical applications in physiotherapy. She has coordinated clinical practices and maintains a Level 2 research classification. Notable contributions include studies on whiplash rehabilitation using AI, aquatic therapy for intellectual disability patients, and biomechanical injury prevention in athletes. Education: Doctor in Biomedicine and Health Sciences, Universidad Europea de Madrid MSc in Applied Biomechanics, Pontifical University of Comillas Bachelor's and Diploma in Physiotherapy, Pontifical University of Comillas Research Interests: Transdisciplinary therapies, cervical spine biomechanics, sports injury prevention, AI in clinical prediction, and palliative care communication. She has published extensively in journals like PLoS One and presented at international conferences such as ESMAC and ISB. Professional Experience: Former Healthcare Director at Fisioterapia Novofisio S.L. (2004-2019) and currently active in academic roles including Master's coordination. Holds ANECA certifications for university-level teaching roles. Labs/Teams: Involved in interdisciplinary projects like the Sperantia.app mental health initiative and HOOPe oncology study. Collaborates with institutions such as the European Society of Movement Analysis and the International Society of Biomechanics.