The School of Science, Engineering and Design - STEAM is committed to research as a driver of knowledge generation and development. This research is clearly linked to the needs of society and directly connected to the development of the university.
Multidisciplinary Group for Teaching Innovation and Educational Research
Group members
- Isabel Mundi Sancho
- José Luis Palau Aloy
- Raúl González Tamurejo
- Nuria Muñoz Vila
- María Usán Porta
- Arántzazu Soria Martínez
- Isabel Iglesias Salanova
- Maria Dolors Miquel Abril
- Lluna Maria Bru Luna
- Patricia Gamarra García
- Marta Guillem Tello
- Patricia García Martínez
- Mercedes Peña Martín
- Miguel Galiana Martínez (PI): miguel.galiana@universidadeuropea.es
Main research topics
- Line 1: Teaching Innovation to Foster Critical Use of Artificial Intelligence
Design and implementation of activities within different courses to promote a critical and appropriate use of AI, aiming to prevent a loss of student competencies. Impact will be measured through pre- and post-implementation questionnaires. - Line 2: Teaching Innovation to Enhance Employability
Design and implementation of activities aimed at improving student employability. Notable initiatives include STEAM Learning Journeys and the Scientific Portfolio. The objective is to strengthen students’ employability by assessing differences between those who participate in these activities and those who do not. - Line 3: Teaching Innovation for Inclusion and Diversity in Higher Education
Identification of synergies between technology-based subjects and soft-skills courses through an inclusive approach, always in coordination with the Office for Inclusion (ODI). Impact on competencies of students with Special Educational Support Needs (SEEN) will be evaluated through pre- and post-intervention questionnaires. - Line 4: Teaching Innovation to Promote Research Engagement
Implementation of activities beginning in the first academic year to link teaching and research, fostering dynamic and collaborative learning environments. The objective is to strengthen research motivation among students, assessing changes between the first and fourth years. - Line 5: Innovation for the Improvement of Educational Space Design
Analysis, evaluation, and proposals related to the design of classrooms, laboratories, workshops, and spatial reorganization, with the objective of optimizing user experience in the teaching–learning process.
Interdisciplinary Physics and Advanced Mathematics
Group members
- Joan Català Pérez (PI): joan.catala@universidadeuropea.es
- Victor Ilisie Chibici
- Joaquín Santos Blasco
- Daniel Diaz Anichtchenko
- Ali Esquembre Kukukalic
- Alba Arroyo Fructuoso
- Carlos Alberto Serra Jimenez
- Javier Pérez Pérez
- Alejandro Perdiguero O'Leary
- Ezequiel Valero Lafuente
- Maria Nuria de las Heras Santos
- Sergio De Maria García
- Javier López Prieto
Main research topics
- Line 1: High-Energy Physics and Quantum Information
Research in high-energy physics is one of the fundamental pillars for understanding the nature of matter at its smallest scales. Studies in quantum information are essential for the development and understanding of quantum computing algorithms. This line benefits from the consolidated expertise of Associate Professor Victor Ilisie Chibici and Dr. Javier Pérez Pérez, whose academic trajectories support the scientific robustness of this research area, in addition to contributions from doctoral researchers Ezequiel Valero Lafuente and Javier López Prieto. Current work focuses on the phenomenology of quantum gravity through particle physics, with particular emphasis on identifying potential observational signatures of effective quantum gravity theories in collider experiments and other high-energy processes.The line is also expected to incorporate studies on particle physics applied to medical physics, with a specific orientation to be defined. In the broader context of theoretical physics, quantum information represents a critical frontier for deepening our understanding of fundamental interactions. Research in this field has direct implications for the development of emerging quantum technologies, including quantum computing and quantum cryptography. - Line 2: Experimental Physics and Advanced Materials
This line draws on the expertise of Associate Professor Joaquín Santos Blasco, Dr. Daniel Diaz Anichtchenko, Dr. Joan Català Pérez, and doctoral researchers Alba Arroyo Fructuoso and Ali Esquembre Kucukalic. Short- and medium-term objectives include a systematic study of the properties of various materials under high-pressure conditions. The most cutting-edge research in high-pressure physics currently combines experimental methods with theoretical calculations; therefore, this line proposes conducting such studies through coordinated experimental and theoretical approaches. Exposing materials to high-pressure environments offers a wide range of applications from a fundamental perspective. High-pressure techniques are essential for validating or ruling out theoretical models and have been decisive in advancing our understanding of the electronic structure of semiconductors. - Line 3: Mathematics and Mathematical Physics
This line is supported by the expertise of M. Nuria de las Heras Santos, Alejandro Perdiguero O’Leary, and Sergio De María García. It serves as a transversal axis that provides the necessary mathematical foundation for the other two research lines. Research will be conducted in advanced data analysis methods and dimensionality reduction techniques. M. Nuria de las Heras Santos is currently developing her doctoral thesis titled “Generalizations of Principal Coordinates Analysis (PCoA) as a Dimensionality Reduction Tool. Applications to the Study of the Human Microbiota.” This methodological development will open avenues for subsequent research in the modelling of complex biological systems. Additionally, this line will continue to explore advanced mathematical methods for data analysis and dimensional reduction.
Analytics and Artificial Intelligence
Group members
- Héctor Gisbert Mullor (PI): hector.gisbert@universidadeuropea.es
- Víctor Manuel Yeste Moreno
- José Luis Gómez Ortega
- Alejandro Calabuig Barroso
- Héctor Espinós Morato
- Jorge López Fresco
- Jesús Friginal López
Main research topics
- Line 1: AI-assisted diagnosis
ML models for early diagnosis, quantitative analysis, and reproducible pipelines with explainability. - Line 2: Computational analysis of complex systems
Modeling and simulation of systems in physics, biology, engineering, or environmental sciences, validated with experimental data when applicable. - Line 3: Optimization and design of computational resources and processes
Predictive tools and optimization methodologies for computational efficiency, scalability, and sustainability. - Line 4: Natural Language Processing (NLP) and Computer Vision
Analysis of scientific/biomedical texts, information extraction, classification, and a Human-Centered NLP approach (explainability, accessibility, fairness, and bias).
Research Projects
Research projects aimed at integrating AI, mathematical modeling, and computational analysis in biomedicine, physics, engineering, natural resources, and NLP.
Relevant Achievements
- ASISA Research Chair 2025
- ASISA Research Chair 2024
Research Group in Biomedical Engineering, Biomaterials and Advanced Medical Devices
Group members
- Marta Calvo Catoira (PI): marta.calvo@uviversidadeuropea.es
- Cristina Díaz
- Ángela Bejarano
- José Antonio de la Rosa
- Beatrice Jocobst
- Natalia Huerta Retamal
Main research topics
- Line 1: Smart Biomaterials
Design, synthesis, and evaluation of advanced materials capable of actively and dynamically interacting with biological systems. These biomaterials can respond to external stimuli—such as changes in pH, temperature, light, electric fields, or biochemical signals—and modify their properties accordingly.
The main objective is to develop functional solutions for clinical and biomedical applications, such as controlled drug delivery, tissue engineering, bone and tissue regeneration systems, or implantable devices with self-regulating capabilities.
Research includes the study of biocompatibility, biodegradability, mechanical behavior, and response mechanisms, with the aim of creating safer, more efficient, and adaptive materials. - Line 2: Biomedical Devices
Development, optimization, and validation of technologies applied to the diagnosis, monitoring, rehabilitation, and treatment of various health conditions. This includes the creation of sensors, actuators, prostheses, wearable or implantable systems, as well as electronic or mechanical tools that interact directly with the human body.
This research line integrates knowledge from engineering, physics, biology, and design to develop precise, reliable, and patient-centered devices. It also includes clinical evaluation processes, performance analysis, integration of advanced materials, improvement of the device–tissue interface, and compliance with international regulations to ensure safety and effectiveness in healthcare environments.
Research Group on Modelling, Simulation and Development in Systems Engineering (MSDES-IS)
Group members
- María Josefina Torres (IP): mariajosefina.torres@universidadeuropea.es
- Pedro Cáceres Candea
- Roberto Arévalo Turnes
- Pablo Blanco Gómez
- Pablo Durán Alarcón
- Alfredo Peinado Gonzalo
- Luis Caminos Gámez (Universidad de Málaga, Spain)
- Rafael Guerra Silva (California Polytechnic State University, USA)
Main research topics
- Line 1: Modelling, Simulation and Development of Digital Twins for Complex Engineering Systems
This research line focuses on the integration of mathematical modelling, advanced computational simulation, and experimental methodologies to develop digital twins capable of supporting the analysis and prediction of the dynamic behaviour of complex engineering systems. These digital representations are intended to enhance decision-making processes, facilitate design optimisation, and support the validation of engineering solutions across industrial, biomechanical, and applied engineering contexts, thereby generating scientific, technological, and societal impact. - Line 2: Robotics, Automation and Digital Twin-Based Technological Solutions for Complex Systems
This line aims to design, develop, and validate innovative technological solutions based on robotics and intelligent automation, supported by digital twin technologies, for complex engineering systems. The research is directed towards improving system performance, adaptability, efficiency, and safety, with particular emphasis on industrial and mobility-assistance applications. The ultimate goal is to foster technology transfer and contribute to significant societal impact. - Line 3: Computational Simulation-Based Learning
This research area focuses on the development, implementation, and assessment of educational methodologies that leverage computational simulation as a pedagogical tool. The objective is to enhance the understanding of complex engineering concepts, promote the practical application of theoretical knowledge, and strengthen research, technical, and professional competencies among engineering students at Universidad Europea de Valencia.
Research Projects
The group will participate in the research project entitled: “Development of a Patient-Specific Digital Twin of the Human Middle Ear, with a Particular Focus on the Analysis and Processing of Tympanic Membrane and Ossicular Chain Imaging Data.”. Candidates with demonstrated programming skills in Python will be highly valued.