Engineering Research Labs in Madrid

Introducción

Engineering Research Labs in Madrid es un programa organizado en colaboración entre la Universidad Carlos III de Madrid y el Programa Study Abroad de la Universidad California (UCEAP), que constituye un espacio para la formación técnica en el ámbito de la ingeniería.

Durante el periodo comprendido entre los meses de junio y julio, los participantes se integrarán en una experiencia de inmersión académica dividida en dos ejes fundamentales:

• Integración en Laboratorios de Investigación: Los estudiantes tendrán la oportunidad de incorporarse a equipos de investigación de la Escuela Politécnica Superior de la UC3M. Bajo la tutela de investigadores, colaborarán de manera directa en proyectos de investigación de su elección, permitiéndoles aplicar metodologías científicas en entornos de desarrollo real y contribuir al avance de líneas de investigación vigentes.
• Formación en Ética para Ingenieros: Complementando la práctica investigadora, la asignatura Ética para Ingenieros analiza la ética no como un límite al progreso, sino como la guía para orientarlo, abordando desde la libertad y responsabilidad personal hasta los desafíos de la inteligencia artificial, la sostenibilidad y la propiedad intelectual.

Registro de Participantes Seleccionados

Este programa está dirigido exclusivamente a los alumnos seleccionados por el Programa de “Study Abroad” de la Universidad California (UCEAP). Si has sido seleccionado para participar en este programa por favor, formaliza tu registro a través del siguiente enlace para la asignación definitiva de laboratorio y recursos académicos:

• Formulario de Inscripción y elección de Proyecto

Proyectos Research Labs C3IS

Descubre la oferta de proyectos de Engineering Research Labs C3IS para el año académico 25/26:

• Optimization of an immunocompetent skin model through cellular functional assays
• Development of a psoriasis on chip model
• 3D Printing and Medical Imaging: Full Workflow for Patient- Specific Biomodel Generation
• Development of in vitro models of human skin presenting pigmentation and melanocyte-associated lesions
• Organ-on-chip: Modelling Metabolic Adaptation in Chronic Lymphocytic Leukemia
• Neural Architecture Search for automatic and efficient Deep Learning applied to Medical Imaging
• Deep Learning for Multi-Structure Lung Segmentation in PET/CT Imaging of TB-Infected Nonhuman Primates
• Tissue engineering for the generation and optimization of squamous cell carcinoma models
• Image processing methods for X-ray image quality improvement
• Development of polymer and lipid-based nanoparticles for the labeling of tuberculosis infection through X-ray imaging

• Design and Fabrication of Sustainable Lignin/MOF Nanofibers for Environmental and Energy Solutions
• pH-responsive antibiotic-releasing hybrid coatings on TiPM: a preliminary study
• EIS-based screening of the corrosion behaviour of porous Ti6Al4V for biomedical applications
• Next-Generation Energy Storage: Supercapacitors with Doped Carbon Nanofibers
• Sustainable Membranes for Hydrogen Production in PEM Electrolyzers: From Design to Testing
• Development of Biodegradable and Sustainable Bio-based Dressings with Antimicrobial Properties for Medical Use

• Design, Privacy, and Robustness of AI-Based Biometric Systems Using Contact and Contactless Physiological Signals
• Design, Formal Analysis, and Hardware Implementation of Lightweight and AI-Enhanced Cryptographic Protocols
• Causal Machine Learning techniques for data driven market analysis

• Thrust balance improvements for plasma thruster testing in vacuum chamber

• Development of skills to improve the interaction between social robots and the elderly
• Synthetic & Private Data for Driver Monitoring
• AI Techniques for Off‑Road Autonomous Navigation
• Environmental modeling through sensory fusion of camera and lidar
• Learning by imitation of trajectories in manipulation tasks
• Physiological Signal Cleaning for Driver-State Studies
• Machine learning models for estimating position from sEMG signals

• Laboratory Investigation of Partial Discharge in Transformer Oil and Pattern Recognition Using Artificial Intelligence
• Characterization and Degradation Analysis of Liquid and Solid Dielectric Materials in Power Transformers
• Control strategies applied in the current transition towards renewable energy generation

• Biomechanical assessment of osteoporotic femurs reinforced with advanced bioabsorbable polymers
• Bearing Fault Diagnosis Based on Vibration Signals Acquired Experimentally
• Experimental and numerical analysis of 3D-printed structures for biomechanical applications

• Experimental study of hydrogen/ammonia/air premixed flames
• Analysis of the impact of external and internal environmental conditions on energy poverty
• Experimental Development and Testing of Photocatalyst Materials For Solar Fuels Production
• Decarbonizing heavy industry using a concentrating solar technology
• Experimental study on syngas enhancement and tar reduction in biomass gasification

• Design and numerical analysis of mechanical metamaterials and quasi-zero stiffness structures for elastic wave and vibration isolation

• Development and Test of an Optical Sensor for Water Stress Monitoring in Trees
• Experimental Implementation of a BPSK Visible Light Communication System Using a Software-Defined Radio
• Creating and improving a 3D Fabry–Perot Cell for Photothermal Experiments (Cim-3D-FP)
• Analysis and hardening proposals for high-end System on Programmable Chip for space
• Investigation of a sensor data acquisition framework for the development of an avionics control system suitable for satellite applications

• Implementation of an optical OFDM system with software-defined radio (SDR) for optical wireless communications
• Simulation of free-space optics (FSO) communications
• Emotion Classification in Real-World Using Speech and Physiological Signals Physiological Signals
• A digital twin of Caenorhabditis elegans
• Detection of Gender based biases in images and videos
• Brain2Speech: decoding speech from brain signal
• From Voxels to Diagnosis: A Beginner-Friendly Project on Machine Learning for 3D CT Fracture Detection
• AI Agent for Personalized Restaurant Menu Selection