TECHNLOGICAL CAPABILITIES
Connectivity
- Communication protocols that guarantee considerable time constraints and offer a bounded latency along with high reliability and energy efficiency in fields such as IoT and industry 4.0.
- IoT mesh networks with low-power radios.
- IoT alert management system that enables users to handle different input channels, keep track of input device files, and send out alert messages.
- Decentralized computing and networking systems infrastructures based on cooperative resource coordination models.
- Adaptable, resilient, scalable software systems that exploit edge resources and networks for communications and computing infrastructures (cloud).
Security & Cybersecurity
- Real-time response and mitigation of the effects of cyberattacks across ICT supply chains, focused on the field of IoT.
- More functional and secure integrated circuits in fields such as IoT, cybersecurity, and supercomputing.
- Algorithms for the detection of physical and cyber attacks.
- Cybersecurity in the maritime industry.
- Monitoring of intelligent fire detection systems.
- High availability infrastructure.
- Intrusion detection and response mechanisms.
- Perception systems: vision to control and guide robots.
eHealth
- Surgical robots.
- Virtual reality and augmented reality for telerehabilitation.
- Low-cost devices for remote cardiovascular monitoring.
- Image processing for diagnosing injuries.
- Differential diagnosis in patients with Parkinson’s through biomechanical tests.
- Advanced non-intrusive remote health assessment.
- IoT medical devices.
- Biophotonics.
- Biosensors.
- WearableTech.
- Modeling of human body movement.
- Instrumentation. Biomedical signal processing.
Smart Farming
- Agriculture 4.0: systems for capturing and processing images and telecommunications systems based on data science.
- Application of Digital Twins for irrigated agriculture.
- Automation and mechanization of production processes in smart agriculture.
- Development of measurement systems in agriculture and communication of data with lower energy consumption.
- Remote sensing for outdoor crops using drones and satellites.
- Improvement of productivity with mobile robots.
- Design of agricultural machinery sensor-equipped.
- Livestock monitoring and disease detection using biometric sensors.
Robotic Process Automation
- Agriculture 4.0: systems for capturing and processing images and telecommunications systems based on data science.
- Application of Digital Twins for irrigated agriculture.
- Automation and mechanization of production processes in smart agriculture.
- Development of measurement systems in agriculture and communication of data with lower energy consumption.
- Remote sensing for outdoor crops using drones and satellites.
- Improvement of productivity with mobile robots.
- Design of agricultural machinery sensor-equipped.
- Livestock monitoring and disease detection using biometric sensors.
Edge and Cloud Computing
- Communication protocols that guarantee considerable time constraints and offer a bounded latency along with high reliability and energy efficiency in fields such as IoT and industry 4.0.
- IoT mesh networks with low-power radios.
- IoT alert management system that enables users to handle different input channels, keep track of input device files, and send out alert messages.
- Decentralized computing and networking systems infrastructures based on cooperative resource coordination models.
- Adaptable, resilient, scalable software systems that exploit edge resources and networks for communications and computing infrastructures (cloud)
Energy efficiency
- Internet architecture with new protocols, open software, and hardware aimed at Internet management in cases such as privacy by design, IoT, network optimization, e-commerce security, and energy efficiency.
- Smart, modular, and scalable batteries using big data analysis, artificial intelligence, and IoT.
- Energy management in smart factories.
- Light energy harvesting for autonomous sensors.
Smart Building & BIM
- Advanced optimization for monitoring errors in smart infrastructures.
- IoT platform using deep learning algorithms to bring benefits to smart homes.
- Measurements from the IoT platform of the social and environmental impact produced by U-Space.
- Modular sensors for identifying bridge structures under quasi-static loads.
- 3D printing of insulating composites useful in construction.
- Energy information in digital administration.
- SmartHome
Digital Twins
- Digital twin platform to improve the construction industry, optimize and increase productivity, reduce costs, and ensure safe working conditions using IoT.
- Open-source software to produce Digital Twins that operate on the edge (edge computing).
- AI-based platforms for Digital Twins.
- Digital Twins in the Blue Economy
- MobilityDigitalTwin
Industry 4.0
- Advanced production through automated technologies such as adaptive models, ATP/AFP, 3D printing, curved pultrusion profiles, hot stamping, innovative composite connections.
- Integration of drones with 4G and 5G mobile technologies.
- Predictive management and maintenance of machines using IoT platforms.
- Industrial automation and communication.
- Artificial intelligence.
- Intelligent monitoring of industrial processes.
- Energy savings through intelligent monitoring.
- Sensor systems and data extraction.
- Techniques to control and monitor the quality of the process/product.
- Flexible manufacturing processes.
- Advanced decision-making tools for Zero Defects Manufacturing (ZDM).
- Digital control with microprocessors and DSP.
- Human-machine collaboration.
- Computer vision.
- Human-machine communication interfaces (dialogue systems).
- Advanced information models for knowledge generation and learning.
Big Data Analytics
- Data analysis techniques to improve the accuracy of data acquired through low-cost sensors.
- Internet of Things (IoT) or Internet of People (IoP) connected between machines, sensors, and people, as well as the ability to transform data into usable and reliable information.
- Management of large amounts of data on devices and network equipment, as well as efficient and adaptable management of network infrastructure.
- Managing the resulting complexity of systems with massive volumes of data made available by next-generation, instantaneous, and widespread communication networks.
- Communication protocols that ensure significant temporal limitations and offer limited latency along with high reliability and energy efficiency in fields such as IoT and Industry 4.0.
- IoT mesh networks with low-power radios.
- Alert management system that allows users to manage different input channels, track device input files, and send alert messages.
- Decentralized computing and network system infrastructures based on cooperative resource coordination models.
- Adaptable, resilient, and scalable software systems that exploit edge resources and networks for communications and computing infrastructures (cloud).
Learn more about IoT here
PROJECTES RELACIONATS
- RootBot aims to develop and demonstrate an autonomous robotic electromagnetic detection system equipped with ground-penetrating radar (GPR) and advanced navigation technologies to map the root systems of fruit trees and soil moisture. This project seeks to optimize agricultural resource management, particularly water, and contribute to more sustainable farming through the use of innovative technological tools.
- The Group of Environmental Engineering and Microbiology (GEMMA) at UPC is leading the PROALGAE project, aimed at producing new alternative proteins from biomass derived from microalgae and cyanobacteria cultivated using by-products from the agri-food industry. These alternative proteins aim to provide a sustainable ingredient to meet the growing global demand for protein, applicable in the development of food and feed.
- An international research team led by the UPC has created a hybrid device that combines, for the first time ever, molecular solar thermal energy storage with silicon-based photovoltaic energy. It achieves a record energy storage efficiency of 2.3% and up to 14.9% total solar energy utilisation.
- Energy consumption in training and inference of artificial intelligence (AI) models, such as large language models (LLMs) like GPT-4, has become a critical challenge due to its environmental impact and the costs associated with high-performance computing (HPC). The energy required to train these models and interact with them increases significantly as the models grow in size and complexity.
