Systems for the collection, processing and statistical treatment of data. Advanced database management applications. DWH design and implementation. Re-engineering of systems and client/server architectures. Data modelling. Document management. Multimodal systems. Hospital management.
To assess the postural control of different populations as well as its evolution during childhood and adolescence.
Research by prioritising the use of corpus tools from a variety of genres and discourses in order to evaluate the effectiveness of corpus tools.
A natural problem in group theory is: what can we say about a group in which all subgroups of a relevant family of subgroups satisfy a certain property? We intend to make contributions along these lines.
Desenvolupament de tècniques d'aprenentatge estadístic: xarxes neuronals, models gràfics, màquines kernel, tècniques de classificació, regressió, agrupament i visualització (manifold learning), aprenentatge actiu, semisupervisat, relacional, Bayesià, estructurat, i causal.
When a factor group G=AB is considered as a product of two subgroups, related with certain permutability conditions, the natural question is to determine what we can say about G from the properties of A and B, and what we can say about A and B from properties of G.
The fathoms are associated to trifactor groups with structural properties that effectively determine solutions of the quantum Yang-Baxter equation.
Technical audits of ITS and ICT systems. Secretariat and management of European projects. Representation of the administration in standardisation and normalisation committees. Translation and evaluation of standards. Traffic and transport, ITS and ICT consultancy studies.
Study of the differentiability of functions defined on open Banach spaces, in particular of the norm.
Development of multivariate dynamic models and their analysis by Bayesian mehtodology, using MCMC simulation methods. Incorporation of spatial dependencies into the temporal structure of the models. Design and implementation in R of algorithms for their analysis, estimation and prediction.
Methodological developments and applications for the measurement of non-response in surveys and for the correction of their effects, especially the biases that can be introduced in the inferential process.
Large database analysis in which there are three characteristics that make them special: growth velocity, variety in the data classes and volume.
Determination of chemiluminescence and bioluminescence mechanisms. Understanding of electronic structure properties necessary to produce an efficient chemical excitation. Characterisation of different mechanisms (non-catalysed, intra- and intermolecular catalysed, etc.)
Photophysics and photochemistry of water aggregates and their relevance to biological and nanotechnological systems.
Design of integrated circuits for vision, especially application-specific selective gear-guided vision and cameras.
The research group works on the modelling and multiscale simulation of the activation process of cardiac tissue, in order to characterise and predict different pathologies. The group has high-resolution simulation software that allows fully synthetic electrocardiograms to be reproduced, with the possibility of simulating different pathologies. Another active line of work in this field is the estimation of the cardiac conduction system using analysis of data acquired during surgical practice.
Classical methods to characterise chromatographic columns are based on the measure of retention and the use of a selected group of compounds. The validity of these approaches is investigated and new, more reliable strategies based on retention, selectivity and peak shape are proposed.
This research line aims to improve the performance of Collaborative Augmented Reality (CAR) systems and applications, building on the group’s previous experience in Distributed Virtual Environments.
The combination of HPLC separation mechanisms allows unreachable selectivities with individual columns to be obtained. Several strategies are proposed, including the use of parallel columns, sequential column coupling and two-dimensional HPLC.
Study of composition operators and their relationship with the properties of the symbol that defines it. Special attention to the topological properties of the operators and to the metric properties whether of the natural norm of the space or the essential one. Interest in spectral properties.
Development of models with compositional data. In environments such as biology, economics or geology, it is common to work with data vectors whose components reflect the relative contribution of different parts in relation to a total, obtaining compositional samples. Work will be done on the progress of statistical modelling of compositional data, its application and its mathematical foundations.
Research into learners' interlanguage, contrastive studies through corpus analysis, and the use of corpus techniques in language teaching and linguistics in the classroom (data driven learning).
Study of photoinduced processes that lead to the production of lesions on the DNA. Determination of photostability and photoreactivity properties of the DNA/RNA components. Function of reactive oxygen/nitrogen species, low-energy electrons and other endogenous/exogenous reactive agents in DNA/RNA damage. Damage mechanisms by photosensitisation (photodynamic therapy for the treatment of cancer).
Administrative information on the Internet, transparency, active advertising, right of access and its limits, especially with regard to data protection and privacy.
Theoretical development of methods for the precise simulation of linear and non-linear optical spectroscopy techniques and their application in molecular systems, particularly focused on the analysis of dynamic processes in the excited electronic state and the precise determination of absorption and emission intensities in condensed phases.
The main responsible of this line is the Honorary Professor of the Universitat de València: Orlando Tapia Olivares. Development and application of the diabatic approach in the study of chemical processes.
E-learning platforms design (that include simulation), based on web technologies. Use of Moodle and SCORM, as well as of simulation technology based on HTML-5, OpenSceneGraph for web and Unity-3D in order to implement 3D virtual environments executable from the browser.
WEB systems for access to databases. Semantic WEB, Ontologies and metadata. RDS dissemination systems and DATEX protocol data exchange systems. Development of WEB services. Mobile applications. Electronic forms, payment services and secure information processing.
The addition of additives to the mobile phase allows the volume of organic solvent to be reduced in conventional reversed-phase HPLC. When the additive is biodegradable, a clean method (classified as Green Chemistry) is achieved. In particular, by using microemulsions, water and soap separations are developed.
Due to the increasing number of analyses performed in laboratories, there is an interest in reducing the analysis time. For this purpose, instrumental techniques and rapid columns, as well as direct injection strategies of the analysed samples, are used.
Analysis of the effectiveness of tools designed by computational linguists and computer engineers in examining digital genres, such as computer-mediated communication. It includes the valuation or subjectivity conveyed by users in commercial and non-commercial uses.
Analysis of the fundamentals in the compilation of corpora, whether synchronic (current) or diachronic, monolingual or multilingual, for the examination of the language as a whole, or part of it. Analysis of the role of different types of annotation: grammatical, semantic, discursive, multimodal.
Development of Bayesian hierarchical models for the study of the geographical variability of diseases and their temporal evolution with the aim of aiding decision-making and the development of surveillance programmes.
Quantum-chemical characterisation of the structural, electronic and optical properties of pi-conjugated donor-acceptor systems used as electroactive materials in organic optoelectronic (light-generating) or photovoltaic (electricity-generating) devices.
Discovery of individual behaviours from aggregated information.
Application and development of models for electoral prediction.
Theoretical study of the non-covalent interactions that determine the supramolecular organisation of electroactive molecules forming associates and polymers with conductive and optical properties of interest in molecular electronics.
Theoretical design of transition metal ionic complexes for use as light-emitting materials in OLED (Organic Light-Emitting Diodes) and LEC (Light-Emitting Electrochemical Cells) electroluminescent devices.
The CoMMLab group uses computational fluid mechanics techniques applied to different fields. In biomedical engineering, the group uses fluid models for the simulation of the vascular system, especially in large vessels, to analyse and predict pathologies such as aneurysms. In the field of computer graphics, non Newtonian fluid models are developed with applications mainly in interactive simulation (Virtual Reality, Videogames, ...) and in simulations for physics-based animation and special effects.
Analysis of the projection of freedoms on the net and social networks, judicial guarantees, limits, special focus on hate speech.
Integration of high performance computing systems based on parallel processing on single or multiple GPU cores. Development of shaders for highly realistic graphical apps.
Differential geometry of smooth and singularity subvarieties in Euclidean spaces. Global classification of stable applications, flows and foliations on surfaces and 3-manifolds. Complete invariants for second order geometry. Application to string theory.
Graphical apps development for mobile devices and PDAS. Includes both android and IOS apps. Features cloud computing.
Group Theory and its representations.
Certain classes of groups are defined by the actions of the groups with regard to the main factors or other normal sections. Special importance is attached to subgroups that cover or avoid all the main factors of the group, as well as actions that determine flanges of special type.
Developments in high-performance computing, using advanced computer architectures, for the processing and analysis of methylation in genomic data produced by Next-Generation Sequencing (NGS).
Security analysis of computer systems, vulnerability detection, cryptography and secure communications. Mechanisms for the protection of personal data, traceability of information, privacy and security-oriented design. Data anonymization. Security audits. International regulations.
Non-linear, data-dependent approximation techniques are used in a multi-resolution environment for the compression of strongly gradient signals in applications such as image restoration, disparity calculation or optical flow.
Study of the analytical applications between Banach spaces. Both their individual behaviour with respect to classes of sets, as well as the possible algebraic-topological structures that they may have as a set.
Development of simulator-based instructional systems. The hardware, instructional designs, dynamic models of simulation objects and 3-D scenarios.
Application of automatic learning techniques for problems with prediction, classification and recognition of patterns or trends.
Development of portfolio selection models, in which uncertainty about performance is described by possibility and credibility distributions. Multi-objective analysis of the selection problem, seeking approximations to the Pareto front using evolutionary algorithms.
Development of multi-agent simulation systems applied to social and healthcare systems, so that they can simulate not only the individual behaviour of each agent, but also the global behaviour of the system as an addition of individual behaviour.
Evaluation of corpus linguistics in the compilation and elaboration of monolingual, multilingual lexicography, including phraseological aspects, the writing of grammars based on actual language use and translation.
Electronic toll collection systems and mobile vehicles. Satellite and telephony location systems. GPS and GSM applications. V2V, V2I and I2V communication systems. Bluetooth, RFID and WIFI detection systems. Cooperative systems. Dynamic navigation.
Longitudinal and survival data joint models with time or survival targets are studied, with special emphasis on dynamic predictive targets.
In addition to the experience acquired over the years by the members of the group in different areas of simulation, mainly in bioengineering and mechanical engineering, recent advances in machine learning have been assimilated by the group as another way of exploiting the results of its simulations. The group has applied these techniques to the development of pedestrain models applied to crowd simulation. It also allows a further step in transferring the results of the simulations to new medical and industrial sectors (i.e. predictors of ectopic foci, aneurysms, arrhythmia detectors, etc.).
Based on the fundamental advances in HPLC made by the research group, analytical methods for several samples in the pharmaceutical, clinical and food fields are designed. Method development is accompanied by an extensive validation.
Our group addresses the problem of model selection from a Bayesian target point of view. We particularly work on the study of criteria that allow us to establish optimal prior distributions in order to carry out an effective selection and modeling.
Reliable optimisation of chromatographic separation conditions requires tools that use retention and peak shape models. Diverse tools and new strategies for the analysis of complex samples are developed, which consider one to three experimental factors.
Traffic monitoring, vehicle magnetic fingerprint identification systems, DAI systems, applications for route and/or time optimisation, travel times, O/D matrices, GIS applications, geographic data representation and virtual simulation. Emergency management plans.
Methodological and software developments to find solutions to the problem of partial non-response in surveys and gaps in databases.
Extraction of structured information and knowledge from the analysis of free texts and a priori unstructured information.
Desenvolupament de models i tècniques per al processament de dades en neurociència visual: manifold learning, independització, tècniques estadístiques de codificació òptima, de gaussianització, aprenentatge en varietats, estimació i inversió de models, interpretabilitat i causalitat.
Physics of neutrino and astroparticle oscillations with liquid argon detectors (DUNE experiment).
Search for neutrinoless double beta decay in the Xe-136 isotope with gaseous xenon detectors (NEXT experiment).
Numerical methods for partial differential equations are designed and analysed for use in fields as diverse as gas dynamics, both compressible and incompressible, sedimentation of polydisperse suspensions, flows in porous media, charged particle dynamics, etc.
To develop new methods for non-linear partial differential equations that allow us to contribute to the solution of concrete problems, most of them suggested by applications.
To determine the reasons of the emitter/non-emitter behaviour of organic and inorganic molecules of interest in optoelectronics and photovoltaic devices. To improve efficiency by identifying and eliminating unwanted photochemical processes. Photochemistry of boranes and organic molecules with great pi-type conjugation.
Prediction of phenomena in which a chemical reaction induces a photochemical process without the use of light, and of biological, medical and nanotechnological relevance. Examples: Creation of UV-type lesions in the darkness; Activation of the vision process in the darkness.
Molecular mechanisms that mediate the absorption of high-energy light (VUV and higher) producing the loss of one or more electrons resulting in DNA photoionisation.
In this line of research, studies are carried out to quantify the habitual physical activity of groups of people with some special situation, usually a pathology that affects the musculoskeletal system. In this way, the aim is to establish the effect of the practice of physical activity on parameters related to the health and functionality of these people.
Development of reinforcement learning models and dynamic programming for cost reduction, the improvement of important parameters and the increase of efficiency.
Desenvolupament de models i tècniques per al processament de dades en neurociència visual: manifold learning, independització, tècniques estadístiques de codificació òptima, de gaussianització, aprenentatge en varietats, estimació i inversió de models, interpretabilitat i causalitat.
Processament de grans bases de dades i imatges d'alta resolució temporal, espacial i espectral. Els nostres col·laboradors (ESA, NASA, EUMETSAT, Google, DigitalGlobe) proporcionen accés a grans volums de dades a processar en temps real mitjançant tècniques de paral·lelització, clústers, i algorismes.
Use of formalism of quantum mechanics to improve the performance of machine learning algorithms. Use of machine learning for the description and extraction of quantum phenomena knowledge.
Development of product recommendation engines based on the characteristics of the customer and management of personalised promotions.
New intervention strategies: motivational techniques and social support networks; change indicators and trajectories in the intervention process; effectiveness of intervention programmes with abusers developed in the community.
Design of robots, vehicles, sensorisation. Design of closed-loop control architectures.
Development of equipment and algorithms custom-made for their aqcuisition and signal processing.
Simulation models for animation of complex behaviours in interactive graphics applications, including physical behaviours (fluids, granular systems, etc.) and behaviours based on artificial intelligence (reinforcement learning, etc.).
Study by computational tools of chemical reactions in enzymes and aqueous solution by means of QM/MM Molecular Dynamica.
Conformal geometry: rational curves of Pythagorean hodograph in computer-aided design. Geometric applications to microwave circuit design. Design of Bézier surfaces with prefixed boundary properties.
Classification and obtaining analytic and topological invariants of singularities of differentiable and complex analytic applications. Lojasiewicz exponents and non-degeneracy conditions on analytic applications. Study of semilocal invariants of Vassiliev type.
Development and validation of new attitude measures towards gender-based violence; changing attitudes towards gender-based violence in abusers.
Methodological developments and applications for active listening on the Internet, favouring the identification of feelings and authors to convert the huge flows of data and opinions into information.
Development of statistical methodologies for the rapid and reliable detection of influenza epidemics. We approach the inference and prediction of these models from the Bayesian paradigm, which allows the implementation of complex models with spatial, temporal and hierarchical structures.
Development of models to predict the spatial and spatial-temporal distribution of species. The incorporation of uncertainty in covariates, the problems generated by missing values, the effect of preferential sampling and the handling of large volumes of data are addressed.
Design of application-specific architectures using FPGA. Specific computer vision architectures.
Corresponding to its complexity and wide range, it focuses on studies and developments concerning strategy (including tactical and operational levels) and all the components involved in the decision-making process, based on normative or descriptive models (mathematical versus psychological), as well as at the individual and group level.
Fundamental studies are carried out to explain the shape of chromatographic peaks which continue or question historical studies by other authors on this subject. Peak models and peak prediction strategies are developed to optimise separation conditions.
Application of quantum chemistry techniques to the study of metal surfaces and functionalised nanoparticles for use in technological applications.
In the field of computer science, there has been a growing interest in the study of semigroups and monoids in relation to automata and formal languages. We aim to apply techniques from group theory and universal algebra to the analysis of these objects.
Many compounds of pharmaceutical interest have an acid-base character, therefore the nature and concentration of the dominant species depend on pH. Models of mobile phase behaviour are developed in the absence and presence of additives, and with conventional or extended pH columns.
Study of the effects of electronic sigma delocalisation on the electronic and optical properties of organogosilanes using high-precision mechanokinetic techniques.
In recent years, groups where all subnormal subgroups are normal, permutable, or Sylow-permutable have been of interest, both in terms of finite groups and extensions to classes of infinite groups. We have also developed computational techniques to study these groups with GAP.
Determination of sunlight absorption intensities of molecules in the atmosphere. Prediction of sunlight response mechanisms. Hg cycle in the Earth's atmosphere.
Analysis and preparation of opinion surveys and polls.
Aplicacions en tractament de senyals i imatges de teledetecció: estimació de paràmetres biofísics i variables de fluxos, inversió de models, segmentació d'imatges, detecció de canvis i anomalies, fusió d'imatges i multiresolució, restauració, causalitat i atribució, rànquing.
Spatio-temporal epidemiology of child abuse and gender-based violence in the city of Valencia; socio-demographic correlates of the spatial distribution of violence in close relationships; neighbourhood characteristics and social attitudes geography in the city of Valencia.
The topics of research and development are very broad and include epidemiological studies, accident research, causes of accidents, risk factors, risk groups, vulnerable users, driver behaviour, basic psychological processes, attitudes, motivations and values underlying behaviour, the special case of offenders and repeat offenders, as well as autonomous driving.
In addition to the human factor, the subject of study includes the roads (with special attention to black spots and accident hotspots, as well as signage, which is particularly variable), vehicles, and the condition of all of them.
The research and development topics are very broad and include studies of the travel habits or needs of users of a given territory or means of transport, user satisfaction, public transport, the impact of changes in supply, soft modes, freight, logistics, last mile, fares, accessibility, inclusiveness, gender, environment, electric mobility, etc.
Likewise, and even more so in the case of Road Safety, Intelligent Transport Systems (ITS) are the object of study and development, as well as other means of land transport, such as rail, tram and metro, as well as maritime and air transport.
Commercially available RPLC columns do not allow the analysis of charged or highly polar compounds. A line is developed to improve chromatographic performance using secondary equilibria, with special emphasis on the addition of surfactants and ionic liquids to the mobile phase.
Analysis of intercultural differences in the use of discipline practices; development of implicit measures of attitudes towards aggression in parent-child relationships; attitudes towards corporal punishment and child maltreatment risk.
