WHO WE ARE

We are a Valencian public institution of higher education, research and knowledge transfer specialized in technological disciplines, engineering, architecture and art.

Technological capabilities

Big Data

Data collection and sensing
Visualization of information
Visualization of information

Description

Advanced graphic systems

Sectors

  • Energy
  • Industry
Data analysis and exploitation

Description

Big Data infrastructure for processing and analyzing large volumes of data; Statistical technologies;

Sectors

  • Industry
  • Services
Data analysis and exploitation

Description

Digitization of the supply chain. Supply chain strategy. Strategies for defect-free manufacturing. Supply chain maturity models. Reference models for the supply chain. Digital platforms for supply chain operations.

Sectors

  • Manufactura
Data collection and sensing

Description

Instrumentation and control of biological processes

Sectors

  • Industry
  • Salud
Visualization of information

Description

Interactive data visualization

Sectors

  • Industry
  • Services
Data collection and sensing

Description

Process instrumentation and sensorization

Sectors

  • Feeding
  • Industry
Data analysis and exploitation

Description

Standardization of manufacturing operations. Lean production indicators in distributed environments. Workplace and labor optimization. Decision support systems. Labor training systems. Lean technologies for production flow redesign.

Sectors

  • Manufactura
Data analysis and exploitation

Description

Sustainability performance management. Performance and knowledge management. Collaborative performance management systems. Quantitative performance measurement systems. Performance management systems in deterministic and uncertainty contexts. Multi-criteria decision support techniques for performance management systems.

Sectors

  • Manufactura

Cybersecurity

Cyber-Physical Systems

Description

Autonomic Computing, Self-adaptation and "Human in the loop" (Design and testing of Internet of Things (IoT) in enterprise environments: Integration of real-world objects with information systems, Design and development of ubiquitous and ambient intelligence systems applied to Smart Homes, Buildings and Cities). Design of autonomous and self-adaptive systems)

Sectors

  • Hábitat
  • Turismo
Advanced Human-Machine Interfaces

Description

Human-Computer Interaction, non-intrusive interaction and usability (Usability analysis of information systems in DSDM environments, Development of multi-platform/device user interfaces) Context-sensitive/adaptive user interfaces. Ubiquitous interactions in the IoT.

Sectors

  • Hábitat
  • Turismo
Data security and privacy technologies

Description

Software specification and verification. Demonstrable safety. Automated analysis, modeling, verification, synthesis, learning, debugging and optimization of complex systems, models and data. Analysis of chrotographic protocols.

Sectors

  • Technology/ICT sector

IA

Digital Twins

Sectors

  • Industry
Real-time data analysis
Pattern recognition
Artificial Vision
AI-based immersive extended reality (VR/AR) technologies
Machine learning technologies

Description

- Automated software testing (Test automation consulting, Automated testing at user interface level www.TESTAR.org, Security testing, Evaluation and improvement of software development and testing processes following TMAP, CMMI, IEC, etc. standards). - Metamodels for Adversarial Machine Learning. - Inductive programming. - Model adaptation. - Hierarchical and Multiclass classification. - Machine Intelligence Evaluation

Sectors

  • Salud
  • Technology/ICT sector
Natural language processing and text mining

Description

Automatic Speech Recognition (ASR) Machine Translation (MT) Speech synthesis. Design of acoustic and language models, entity recognition, morphosyntactic tagging for information retrieval, voice search and answer search, automatic summarization and content analysis in social networks (emotion analysis, polarity, reputation analysis). Text mining: Content analysis in social networks (analysis of feelings, emotions, reputation, trends and positioning among others), in the automatic summary of documents (text and audio) and in problems that require a semantic representation such as those related to the search for answers, double meaning detection, topic classification, etc.

Sectors

  • Audiovisual
  • Turismo
Affective computing

Description

Affective Intelligent Agents. Being able to reproduce human social behaviour in complex domains (e.g. modelling fear of loss and sellers' behaviour in housing markets, predicting risk-taking in auction experiments, crisis management simulation frameworks), is of great interest in many research areas, such as emergency management, migration flows, personalised education, healthcare, video games or marketing.

Sectors

  • Hábitat
  • Salud
Effective data processing infrastructures and platforms

Description

AI Readiness and Automation (AutoDS, AutoAI and Technological Readiness).

Sectors

  • Data Science
  • Hábitat
Predictive and prescriptive analytical technologies

Description

Algorithms in Finance and Insurance. Algorithms in Transportation and Logistics. Intelligent Algorithms. Data Analytics. Machine Learning. Artificial Intelligence.

Sectors

  • Manufactura
Predictive and prescriptive analytical technologies

Description

Application of machine learning for classification and prediction

Sectors

  • Industry
  • Salud
Digital Twins

Description

Bioprocess simulators

Sectors

  • Industry
  • Salud
Virtual agents

Description

Complex networks and intelligent systems. In the context of MAS and complex networks: Analysis of the influence of different types of network structures on the management of distributed resources in agent societies; Self-adaptation mechanisms in networks to improve network navigation; Influence of network structure on the emergence of cooperation in agent societies; Development of unsupervised agreements between intelligent autonomous entities using consensus processes in networks; Analysis of the evolution of structural properties in social networks. Social Simulation. Agreement Technologies (AT) deal with large-scale open distributed computing systems in which autonomous software agents negotiate with each other, usually on behalf of humans, in order to reach mutually acceptable agreements that must be consistent with the normative context in which they are set and that will allow, once accepted, agents to request and respect each other's services. These technologies include virtual organizations, automatic negotiation, normative systems, trust and reputation models, automatic argumentation, etc.

Sectors

  • Salud
  • Turismo
Predictive and prescriptive analytical technologies

Description

Design and management of supply chains 4.0. Sustainable direct and reverse logistics. Business process modeling, management and reengineering. Optimization, modeling and simulation for decision making. Production planning and order management. IT for intelligent supply chain management.

Sectors

  • Manufactura
Digital Twins

Description

Development of digital twins of power control systems

Sectors

  • Energy
  • Industry
Digital Twins

Description

Digital twins in the supply chain. Internationalization of supply chain operations. Supply chain optimization and simulation. Collaborative forecasting and production planning. Supply chain resilience and sustainability. Data exchange systems and data-driven manufacturing.

Sectors

  • Manufactura
Big data analytics technologies

Description

Educational technologies and Big Data By big data we mean a collection of massive and complex data sets that are difficult to process using conventional data management tools and applications. Educational technologies are one area where big data is gaining momentum at a rapid pace. The research is dedicated to the study and implementation of innovative solutions for the processing of massive data in the area of educational technologies. In particular, emphasis is placed on the development and integration of innovative digital tools, solutions and services for learning and teaching. Software production methods for the development of Big Data applications. Genomic Data Management

Sectors

  • Education
  • Salud
Omics technologies

Description

Genomic Information Systems and bioinformatics (Specification of conceptual models and bioinformatics ontologies, Development of software for the management and analysis of genomic information, Analysis and optimization of databases with genomic information). AI in bioinformatics and biomedical sciences: Design, tuning and evaluation of computational models for problem solving in genomics and systems biology. Fundamentally, we work with discrete models based on natural computation and the theory of formal languages whose adjustment, in some cases, is performed by means of machine learning techniques that allow a great adaptability to the problem domain. We use these models for new systems for prediction and annotation of genomic information. In addition, we use natural computation models (especially membrane computing) for the design, implementation and calibration of simulators of complex biological systems with relevance to health sciences.

Sectors

  • Salud
Predictive and prescriptive analytical technologies

Description

Explainable AI in the Life Sciences Understanding and manipulating the genome implies understanding and manipulating life as we perceive it on our planet. This major challenge has implications for everything related to health. This line of work aims to develop platforms that are able to search, identify, retrieve and interpret relevant genomic information. This information must be obtained from constantly growing repositories, with immense volumes of data in which machine learning techniques are indispensable to select the information of value in a context of clinical diagnosis and preventive treatment that integrates genomic knowledge into medical practice as we understand it. Integrating conventional clinical information with genomic information in an AI setting is essential to develop viable and reliable precision medicine. The application of AI techniques is essential to interpret the chaos of genomic data being generated in order to determine which data are clinically relevant.

Sectors

  • Agri-food
  • Salud
Artificial Vision

Description

Image, video and signal analysis and data processing

Sectors

  • Industry
  • Salud
AI-based immersive extended reality (VR/AR) technologies

Description

Immersive technologies: Extended Reality (XR) for simulation, surgical, industry, health and psychology

Sectors

  • Industry
  • Salud
Virtual agents

Description

Multi-agent systems. The multi-agent systems paradigm is a growing area of interest in AI. This is due to its application to the resolution of complex problems, where classical techniques fail to obtain a satisfactory solution. Multi-agent systems (MAS) address the need for communication and collaboration between autonomous agents (entities whose behavior is autonomous) - Virtual markets.

Sectors

  • Electric power supply
  • gas
  • Turismo
  • water
Real-time data analysis

Description

Partitioned real-time systems

Sectors

  • Industry
  • Transportation
Pattern recognition

Description

Pattern recognition for image, video and signal processing;

Sectors

  • Industry
  • Salud
Virtual agents

Description

Persuasion Technologies. Persuasive technologies is an interdisciplinary field of research that focuses on the design and development of interactive technologies that can create, maintain, or change human thought and behavior using persuasive techniques. These technologies are still an emerging scientific field that faces multiple challenges, such as: user acceptance and actual use of the technology; adaptation and customization of the system for the user; perceived usefulness and user satisfaction; detection of events at the right time; continuity of the new behavior over time; and ethical issues.

Sectors

  • Manufactura
  • Transportation
  • warehousing and logistics
Predictive and prescriptive analytical technologies

Description

Planning and consulting systems. Planning problems are related to problems of decision making and actions that should take place in particular environments to achieve specific objectives. Decisions will be determined by the context of the problem, the pattern of action, the timing of actions and the resources required. The multi-agent view requires cooperative planning to combine and complement the actions that different actors should take. Demographic, filtering or social context and behavioural analysis techniques are applied. Recommender systems A recommender system is a personalization tool that attempts to provide people with a list of information items that best suits their individual tastes. It influences user preferences by analyzing available user data, information about other users, and information about the environment, and selects the elements that best match these preferences. In short, a recommender system offers the possibility to customize the filtering of information so that only information adapted to the user's needs and preferences is displayed. We have a long experience in the development of tourism recommender systems, both for individuals and groups, based on different types of information, such as explicit/implicit preferences, user psychology, etc. - Autonomous vehicles. Autonomous systems in robotics are designed to perform tasks without the supervision of human controllers. There are several advantages: minimizing controller fatigue, minimizing risk, minimizing operating costs, and improving product and quality control operations.

Sectors

  • Transportation
  • Turismo
  • warehousing and logistics
Artificial Vision

Description

Quality inspection systems

Sectors

  • Feeding
  • Industry
Responsible AI

Description

Responsible Artificial Intelligence (Responsible AI -RAI-; AI Safety/Security and Explainable AI -XAI-) Starting from the premise that artificial intelligence must be responsible, reliable, based on ethical and social values, human-centered, safe and secure and interpretable/explainable, we work in several directions. On the one hand, in relation to learning we work on techniques for explaining black box models (mimetic models), on the analysis of adversarial attacks according to the learning family used and, more recently, on how different AI paradigms are related and their effect on their security and robustness. On the other hand, in relation to symbolic methods, we work on provable security, cryptographic protocol analysis, reversible computation and formal methods for the analysis, modeling, verification, synthesis, debugging, certification, transformation, and optimization of critical and intelligent systems. We apply normative systems theory to endow AI systems with ethical values.

Sectors

  • Salud
  • Technology/ICT sector
Virtual agents

Description

Responsive Avatars

Sectors

  • Industry
  • Salud
Artificial Vision

Description

Vision process control

Sectors

  • Industry
  • Transportation
Artificial Vision

Description

Vision systems for laboratory inspection

Sectors

  • Feeding
  • Industry

Robotics

Design
Collaborative robots
Industrial robotics
Task automation
Collaborative robots

Description

Cobot control and cooperation

Sectors

  • Feeding
  • Industry
Design

Description

Design of specific manipulators

Sectors

  • Feeding
  • Industry
Robotics in healthcare

Description

Reahbilitation by parallel robots

Sectors

  • Salud
Task automation

Description

Robot Fleet Management Systems

Sectors

  • Industry
Robotics in healthcare

Description

Social robots for diabetes education

Sectors

  • Feeding
  • Salud
Industrial robotics

Description

Vision robot control

Sectors

  • Feeding
  • Industry

Services

Experimentation and demonstration

Digital maturity evaluation and technology roadmap

Assessment, advice, and organisational diagnosis of the company’s degrees of readiness for the adoption of digital technologies to face the challenges of the coming years. Creation of digital transformation plans to achieve the necessary maturity and assessments of the technological readiness of products or services.

Assessment and consultancy in the use of digital technologies

Consultancy and access to portfolio of R&D projects and results, guides, application sectors, best practices and success stories. Assessment to companies looking for innovative digital technologies to incorporate into their portfolio, including ethical assessment to ensure safe and ethical use of digitalisation for SMEs when necessary.

Support for the use of laboratories and technological infrastructures

Provision of digital technology infrastructures (access and support to HPC, technology platforms) and access to competence centres/labs/infrastructure for experimentation, development of digitalisation of products/services, and production of prototypes or first series for SMEs.

R&D in digital technologies, concept, design, demonstrators / pilots / prototypes / proofs of concept for new products.

Access to competence centres for individual/collaborative R&D projects with the objective of applying digital technology innovation to develop new products/services or improve existing ones. Access to design, technologies and solutions for new digitalisation products/services, from TRL4 to TRL7-8. Validation in the lab and with real customers. Textile sensing technologies, AI for data analysis and image processing, digital twin, VR and hearing, to pre-clinical and clinical testing.

Product demonstrations

Workshops, showrooms, and use cases for potential customers.

Training

Training in digital technologies

Training in digital technologies is a key tool for keeping up-to-date in today’s world and being able to take full advantage of the opportunities offered by the digital era. In the digital sphere, it is increasingly essential to have knowledge of different technological areas, such as Machine Learning, cybersecurity, artificial intelligence (AI), Big Data, HPC…

R+d+i Projects

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Resources

Demonstrators

The Demonstrators are spaces provided by each center to show application examples and prototypes of the Technologies.

See demonstrators of UPV

Infraestructures

Access the infrastructures that each member makes available to companies and other centers related to each technology.

See infrastructures of UPV

Experiment centers

Perform tests adapted to your company's process.

See centers of UPV