Inicio
Tech4D is a research laboratory at the University of Alicante devoted to the development of advanced computational methods for understanding complex data across space and time. Our work brings together artificial intelligence, computer vision, 3D technologies, temporal shape analysis, multimodal learning and mathematically grounded modelling to study how forms, signals and structures evolve over time.
The laboratory is especially interested in research problems where time plays a central role: longitudinal analysis, shape evolution, multimodal integration and intelligent modelling of dynamic phenomena. This perspective allows us to address challenging questions in health, biomedical imaging, human-centred AI and other application domains where static analysis alone is not sufficient.
Research lines
Tech4D develops advanced computational methods to analyse complex data across space and time. Our research combines artificial intelligence, 3D technologies, computer vision, temporal modelling and mathematically grounded learning to study how shapes, signals and structures evolve over time.
Computer Vision, 3D Technologies and Medical Imaging
Methods for analysing images, video, medical imaging data and 3D representations in complex biomedical and real-world environments.
Artificial Intelligence, Neural Networks and Deep Learning
AI methods based on neural networks, deep learning and representation learning for challenging scientific and applied problems.
Temporal Shape Analysis and Dynamic Modelling
Computational analysis of shapes, structures and signals that evolve over time through longitudinal and dynamic modelling approaches.
Multimodal and Informed Machine Learning
Learning methods that combine images, signals, text, metadata and domain knowledge to build robust and meaningful AI systems.
Virtual Reality and Intelligent Interactive Systems
Virtual and immersive technologies combined with AI for interaction, simulation, visualisation and human-centred applications.
Others
Computational analysis of shapes, structures and signals that evolve over time through longitudinal and dynamic modelling approaches.
Projects
Featured research projects
Tech4D develops research projects that combine methodological innovation with high-impact application domains. The following projects illustrate part of the lab’s current research activity and its commitment to biologically grounded, temporal and human-centred AI.
Team
People behind Tech4D
Tech4D is a multidisciplinary team that brings together researchers from different areas of expertise, including computer science and health sciences.
Miriam Sanchez-Sansegundo
Senior researcher
Associate Professor
Health scientist
Ana Zaragoza-Marti
Senior researcher
Associate Professor
Health scientist
José Antonio Hurtado-Sanchez
Senior researcher
Associate Professor
Health scientist
Nahuel Garcia-D'Urso
Researcher
Assistant Professor
Computer scientist
Bernabe Sanchez-Sos
PhD student
Multimedia engineer
Mario Jerez-Tallon
PhD student
Robotics engieneer
Ismael Bevia-Ballesteros
PhD student
Biomedical engineer
Mario Tome-Fernandez
PhD student
Psycologist
Marina Berbegal-Bernabeu
PhD student
Psycologist
Collaborating researchers
Tech4D works closely with collaborating researchers from other universities and research centres who contribute complementary expertise to the lab’s scientific activity, interdisciplinary projects and international collaborations.
- Marc Sebban — Laboratoire Hubert Curien, University Jean Monnet (France)
- Amaury Habrard — Laboratoire Hubert Curien, University Jean Monnet (France)
- Robert Fisher — University of Edinburgh (United Kingdom)
- Ihsan Ullah — University of Galway (Ireland)
Contact
Tech4D welcomes collaboration with researchers, institutions, students and organisations interested in artificial intelligence, computer vision, 3D technologies, temporal analysis and multimodal research. We are open to interdisciplinary collaborations, new datasets and application domains, joint projects and academic exchange.
Jorge Azorin-Lopez
Alicante (Spain)