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III ICTEA Research Days - 2026
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Aula Escalonada (Edificio Histórico de la Universidad de Oviedo)
Aula Escalonada
Edificio Histórico de la Universidad de Oviedo
Adolfo Guarino
(ICTEA - Universidad de Oviedo),
Barbara Alvarez Gonzalez
(University of Oviedo and ICTEA),
Carlos González Gutiérrez
(Universidad de Oviedo),
Enrique Díez Alonso
(Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA)),
Isidro González Caballero
(ICTEA - Universidad de Oviedo),
Javier Gracia Rodríguez
(Universidad de Oviedo),
Javier de Cos Juez
(ICTEA- Universidad de Oviedo),
Jose Enrique Palencia Cortezon
(ICTEA - Universidad de Oviedo)
Descripción
Descripción / Description:
Fundado en 2019, el Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA) de la Universidad de Oviedo agrupa a más de 80 investigadores de diversas áreas en la frontera de la ciencia y que incluyen la Inteligencia Artificial, la Astrofísica, la Geología Planetaria o la Física Experimental y Teórica de Partículas.
Durante estas Terceras Jornadas del ICTEA se mostrarán las diferentes líneas de investigación actuales en las que trabajan los investigadores del instituto y se debatirán sobre los retos científicos a los que nos enfrentaremos en los próximos años. Para ello se contará también con ponencias de reconocidos científicos de otras instituciones.
Founded in 2019, the Asturian Institute for Space Sciences and Technologies (ICTEA) at the University of Oviedo cluster together more than 80 researchers from different areas at the forefront of science, including Artificial Intelligence, Astrophysics, Planetary Geology, and Experimental and Theoretical Particle Physics.
The ICTEA Days 2026 will provide and insight of the scientific activities performed by our researchers and the challenges we will face in the coming years. A selected group of international scientists in areas related to the research lines of the institute are invited to the venue in order to enlighten the discussion.
Previous events:
- [2025] II ICTEA Research Days
- [2024] I ICTEA Research Days
Comité Organizador / Organizing Committee:
- Bárbara Álvarez González
- Enrique Díez Alonso
- Carlos González Gutiérrez
- Javier Gracia Rodríguez
- J. Adolfo Guarino Almeida
- J. Enrique Palencia Cortezón
Contact
Inscripción
Registro
59
Participantes
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Inauguración y bienvenida: BienvenidaModerador: Javier de Cos Juez (ICTEA- Universidad de Oviedo)
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Seminarios ICTEAModerador: Jose Enrique Palencia Cortezon (ICTEA - Universidad de Oviedo)
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1
FPGA-Aware Graph Neural Networks for the CMS Phase-2 Muon Trigger
Real-time event reconstruction at the HL-LHC demands machine-learning algorithms that fit strict FPGA latency, resource, and throughput budgets, motivating a co-design between model architecture and firmware implementation. We present an FPGA-aware Graph Neural Network targeting the CMS Overlap Muon Track Finder (OMTF), exploring quantisation schemes from float32 down to INT8-PO2 together with fixed-size graph representations and latency-driven structural choices on AMD/Xilinx platforms. To make these designs reproducible and integration-ready, we introduce ARC, a plugin-agnostic, contract-driven framework that generates DUTs from interface YAMLs, orchestrates HLS, and provides a reusable verification runtime shared across algorithm variants. The combined flow shows that ML exploration and rigorous interface verification can co-evolve, replacing fragile ad-hoc testbenches with regression-friendly, contract-bound artefacts. Resulting GNN configurations meet L1-trigger-compatible resource and latency budgets, charting a viable path toward ML-based track-finding in the CMS Phase-2 trigger system.
Ponente: Santiago Folgueras (Universidad de Oviedo) -
2
Phenomenological properties of String Theory vacua
String theory is one of the leading candidates for a consistent theory of quantum gravity, naturally predicting supersymmetry and extra dimensions. More realistic four-dimensional models can be obtained using an effective field theory approach. String vacua play an important role in this context: their phenomenological properties will be discussed, with particular emphasis on open-string effects.
Ponente: Giuseppe Sudano (ICTEA - Universidad de Oviedo) -
3
Detecting Irregular Photometric Signals (DIPS OJOS)
The era of large space-based photometric surveys (Kepler, TESS) has required the use of automated algorithms for the massive detection of exoplanets. However, these methods, while necessary to handle enormous amounts of data, often overlook subtle signals present within transits, such as starspot crossings, flares, mutual planet-planet phenomena, or transit duration variations. To recover this valuable astrophysical information, we present the DIPS-OjOs (Detecting Irregular Photometric Signals - Ojímetro Survey) project, a direct Pro-Am collaboration between ICTEA researchers and amateur astronomers. We have developed an interactive web platform that superimposes theoretical global fit models onto individual transits, allowing for a detailed visual inspection of the residuals. In our pilot phase, each team member blindly inspected around a thousand transits (both real data from the Kepler mission and simulated data). The results demonstrate a high signal recovery efficiency by the collaborators, successfully identifying in the real data around twenty starspot crossing events, 7 in-transit flares, and dozens of timing anomalies. This work demonstrates that, in the era of Big Data and artificial intelligence, visual scrutiny by trained collaborators is an irreplaceable tool, and it lays the methodological groundwork to scale the project to a larger number of light curves from different missions as well as a larger number of collaborators.
Ponente: Enrique Díez Alonso (Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA)) -
4
Measurement of WZ single and double polarization with the CMS experiment at CERN
The production of dibosons (VV, where V can be either a W or Z boson) holds a crucial role in the understanding of the electroweak sector of the Standard Model as well as its possible extensions. The WZ process allows to test several theoretical features of interest, such as charge asymmetries in the initial state, measurement of polarization fractions for W and Z bosons and provides direct access to trilinear gauge couplings. The polarization properties of the WZ production have been measured by both CMS and ATLAS collaborations at a centre of mass energy of 13 TeV in pp collisions at LHC, using final states with three leptons. The boson polarization is studied in terms of the polarization angle between the boson and the lepton and can be both single (measured for each boson independently) and double (measured for both bosons at the same time). With the new Run 3 data at an energy of 13.6 TeV, the CMS Collaboration is starting to perform their first studies of the polarization of WZ process at this new energy.
Ponente: Laura García Díaz -
5
Magnification bias of submillimetre galaxies as a probe of dark energy evolution
We present an ongoing tomographic analysis of cosmological constraints from the magnification bias of high-redshift submillimetre galaxies. Building on previous studies, we revisit the cross-correlation between foreground GAMA galaxies and background H-ATLAS sources using an improved modelling and analysis pipeline within a halo-model framework. The analysis explores ΛCDM, wCDM and CDM cosmologies, jointly constraining cosmological and halo occupation distribution parameters. In this new implementation, the foreground sample is divided into three optimized redshift bins in order to improve the statistical performance of the measurement. Preliminary results are consistent with ΛCDM and show tighter constraints on dark-energy parameters and with respect to previous tomographic analyses. Additional improvements to the random catalogue estimation based on KDE methods are currently under development. Although current submillimetre samples are still limited by statistics, this work highlights the potential of magnification bias as a complementary cosmological probe and motivates future wide-area submillimetre surveys, such as AtLAST, which could significantly improve its constraining power.
Ponente: Rebeca Fernández Fernández (Universidad de Oviedo, ICTEA) -
6
Unraveling the Universe with JWST from galaxies to the Solar System.
Since its launch, the James Webb Space Telescope (JWST) has opened a new window to study the universe in the infrared with an unprecedented combination of high spatial and spectral resolution. Its spectral capabilities, thanks to the use of integral field spectroscopy (IFS) in both the near and the mid-infrared, allow to analyse the complex interplay between gas, dust, ices and molecules in multiple systems across different scales.
In this talk, I will present the results from the programs MIri Characterization Of Nearby Infrared galaxy Centers (MICONIC) and the GATOS survey. These programs have obtained spatially resolved 5-28micron observations of several local galaxies using the MIRI spectrograph. I will also present the future work on the study of the properties of trans-Neptunian objects with NIRSpec data.Ponente: Laura Hermosa Muñoz (CAB CSIC-INTA)
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1
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Pausa: Coffee Break
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Inauguración y bienvenida: InauguraciónModeradores: Dr. Borja Sánchez García, Javier de Cos Juez (ICTEA- Universidad de Oviedo), Dr. Susana Irene Díaz Rodríguez
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Seminarios InvitadosModeradores: Florencia Canelli (CERN), Javier Cuevas
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7
Recent CMS Results and Perspectives on Future Colliders
Run 3 of the LHC has delivered the largest dataset in collider history, and CMS has used it to push the physics program on multiple fronts. This talk surveys a selection of recent results spanning precision Standard Model measurements, top and B-physics, searches for new phenomena, and first results from light-ion collisions. We will also discuss the CMS Phase-2 upgrade underway in preparation for the HL-LHC, which will deliver a dataset an order of magnitude larger than Run 3 and open access to rare processes currently out of reach. Finally, we take a brief look beyond, at the physics case and prospects of the FCC — the proposed next-generation collider.
Ponente: Dr. Florencia Canelli (CERN) -
8
Searches for non-resonant Higgs boson pair production
Recent results for non-resonant Higgs boson pair (HH) production are presented, using LHC Run 3 proton-proton collision data at 13.6 TeV. Improvements in heavy-flavor tagging, triggers and analysis techniques boost the sensitivity to HH production.
Ponente: Marina Kolosova
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7
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Pausa: Comida
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Seminarios InvitadosModeradores: Adolfo Guarino (ICTEA - Universidad de Oviedo), Alberto Casas (IFT)
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9
Quantum Computing: Magic or Reality?
Quantum computing is an emerging technology with immense practical potential. Quantum computers are expected to be far faster and more powerful than current computers when it comes to solving complex problems, including drug design and medical treatments, strategies to reverse climate change, natural disaster prevention, and the enhancement of artificial intelligence, among many others. Their computational and analytical capabilities will open the door to applications that we cannot yet imagine, much as previous major technological revolutions have done.
But what exactly is this remarkable technology, and what are the principles behind it? In this talk, we will review the basic postulates of quantum physics that underpin this new form of computation. From there, we will describe how quantum computers work and discuss the current state of development, as well as future prospects.
Ponente: Dr. Alberto Casas (IFT)
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9
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Seminarios ICTEAModerador: Diego Rodriguez-Gomez (U. of Oviedo)
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10
Collectivity from Quantum Diffraction
When we smash large ions together at nearly the speed of
light, we create the most perfect fluid in the universe - the
quark-gluon plasma. Its strong collective behavior, well described by
relativistic hydrodynamics, has been also observed in smaller
collision systems, puzzling the whole particle physics community. In
this talk I will present a new mechanism generating preferred
orientations for energetic particles based on two basic ingredients:
geometry and quantum mechanics. I will show why the interplay between
the in-medium acquired phase between different paths and the shape of
the medium boundary can provide a resolution to the puzzle, as well as
outline the path forward towards realistic predictions.Ponente: Erik Carrió Úbeda (ICTEA - Universidad de Oviedo) -
11
SUNRISE: Edge AI for Real-Time Solar Energy Nowcasting
SUNRISE (Scalable Ultra-fast Nowcasting with Real-time In-Situ Embedded hardware) is a research project aimed at predicting photovoltaic solar energy output in real time at sub-minute timescales. The system combines all-sky camera imagery and irradiance sensor data with deep learning models (ConvLSTM and transformer architectures) to anticipate cloud-induced irradiance transients. A key objective is the deployment of these compressed AI models on low-power reconfigurable hardware (FPGAs/SoCs) directly at the edge, meeting strict latency and resource constraints. The project holds the European Commission's Seal of Excellence (ERC-2025-POC, ref. 101247189 – CHRONOS) and has industrial backing from IGNIS and TheNextPangea. This talk will present the project motivation, the modelling strategy, and the current status of the embedded prototype.
Ponente: Daniel González Martínez (ICTEA - Universidad de Oviedo) -
12
Activities on spacecraft power systems within the University of Oviedo
The SEA Group (Power Supply Systems Group) has long-standing experience in power electronics and, since 2018, has been involved in several activities related to space power systems, collaborating with the European Space Agency (ESA) and other partners. Their work in recent years spans both component-level improvements and system-level studies aimed at adapting spacecraft power systems to evolving mission requirements.
Main contributions
Work on modular and fault-tolerant architectures:
The group has investigated ways to improve the reusability and robustness of power system building blocks. This includes the development of distributed DC transformers with inherent fault tolerance and automatic sharing capabilities, as well as participation in the design of a decentralized power system (with UC3M GSEP) where identical converters can perform different roles, reducing reliance on centralized control.
Studies on direct-drive propulsion:
The group has analyzed Direct Drive architectures for supplying Hall Effect Thrusters directly from solar arrays, with the goal of reducing conversion losses at system level. Their work focuses on evaluating impacts rather than only proposing specific implementations.
Energy management for lunar missions:
SEA has worked on control strategies for Radioisotope Thermoelectric Generators (RTGs), aiming to improve power extraction and facilitate their integration into hybrid RTG–solar systems. This is relevant for missions affected by long periods without solar energy, such as the lunar night.
Improvements in Latching Current Limiters (LCLs):
SEA has contributed to the evolution of LCLs—widely used in spacecraft for power distribution and protection—by exploring the use of wide-bandgap devices in linear designs and proposing a switching-based approach to address some limitations of conventional LCLs. These developments respond to the trend toward higher voltage and current levels, while remaining compliant with ESA standards.
Alternative isolation methods for power supplies:
SEA has also explored replacing optocouplers, which are sensitive to radiation, with magnetic-based isolation techniques suitable for integration using European components.
Overall perspective:
Rather than focusing on a single area, the SEA group’s recent activities reflect a broad involvement in different aspects of spacecraft power systems, combining incremental improvements of existing technologies with exploration of alternative architectures and approaches, typically within ESA-funded projects.Ponente: Pablo Fernandez Miaja (Grupo de Sistemas Electrónicos de Alimentación - Universidad de Oviedo)
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10
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Pausa: Coffee Break
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Seminarios ICTEAModerador: Barbara Alvarez Gonzalez (University of Oviedo and ICTEA)
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13
Development of Machine Learning Algorithms for Adaptive Optics Systems and Experimental Bench Validation
Atmospheric turbulence constitutes one of the main limitations for large ground-based telescopes. In both astronomy and free-space optical communications (FSOC), turbulence degrades wavefront quality and reduces the stability of optical links. This work presents the development and implementation of Machine Learning–based methodologies for wavefront reconstruction and compensation, together with their experimental validation on an adaptive optics (AO) optical bench.
The work combines numerical simulations, synthetic dataset generation, and laboratory experimentation using Shack–Hartmann (SH) sensors, deformable mirrors (DM), and spatial light modulators (SLM). The performance of different deep learning models applied to wavefront reconstruction and atmospheric turbulence prediction is studied, evaluating their capability to operate in real time under different turbulence conditions. In addition, the application of these techniques to free-space optical communication scenarios is explored.
The experimental bench enables the validation of the developed methodologies under controlled conditions and allows their performance to be compared against conventional wavefront reconstruction techniques.
The expected results will contribute to the development of more robust, scalable, and computationally efficient AO systems, facilitating their integration into future large-aperture telescopes and advanced optical communication systems.Ponente: Juan Antonio de Abol-Brasón Vázquez de Prada (ICTEA - Universidad de Oviedo) -
14
Automation of detection, localization, and classification of artificial objects in Earth orbit using small telescopes.
Since the launch of Sputnik 1 in 1957, the number of satellites in orbit has increased exponentially. The recent deployment of constellations such as Starlink has intensified the impact on astronomical observations, especially due to satellites in Low Earth Orbit (LEO). Although these systems provide major benefits in communications, meteorology, remote sensing, and defense, they also degrade the quality of the night sky by adding noise and obscuring targets in astronomical images. This interference affects both ground-based and space telescopes and has become a major challenge for modern astronomical surveys, which generate massive datasets requiring efficient automated processing.
This work proposes the use of Artificial Intelligence to automate the detection of artificial objects through their trails in astronomical images. The system identifies the celestial position of detected objects, compares them with satellite databases, and analyzes their light curves to determine their operational status. Neural networks are employed to process large volumes of data without requiring complex preprocessing steps.
Data acquisition is carried out using a 107 mm refractor telescope located at an observatory in Pillarno, Asturias, equipped with an ATIK APX 60 CMOS sensor. Around 100,000 images with 2-second exposures have been collected at random sky coordinates. Once a trail is detected, the system searches for matches in artificial object databases. If no match is found, the object is automatically classified, for example as a satellite, rocket stage, or space debris, and its operational state is estimated through light curve analysis
Ponente: Ramón Hevia -
15
Neuromorphic computing, optoelectronics, and artificial intelligence for calorimetry: the PHINDER EIC Pathfinder Open Project
PHINDER, short for Picosecond-scale Photonic Heterogeneous Integrated Neuromorphic Detector, is an EIC Pathfinder Open project recently funded by the EU. PHINDER aims to develop new types of neuromorphic photonic sensor systems capable of analysing light from complex processes at the picosecond level (trillionths of a second), while consuming extremely low amounts of energy. The project combines nanostructured III–V semiconductors, programmable photonic waveguides, and neuromorphic sensor arrays into a unified hardware platform that processes time-varying signals directly on-chip. The goal is to create an ultra-fast event camera with embedded intelligence for applications where conventional electronics fall short. Potential use cases include 5D imaging particle detectors in high-energy physics, proton computed tomography (CT) for radiation therapy, and adaptive control of chemical processes.
Ponente: Dr. Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))
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13
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Seminarios InvitadosModeradores: Alberto Fernández Soto (IFCA (CSIC-UC)), Jaiver Gracia Rodríguez (Universidad de Oviedo)
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16
From Asturias to Kepler-3 b, passing through Santander and the other end of the Universe
A scientific career is anything but a linear trajectory. You can start studying the intergalactic medium and get from there to the analysis of distant galaxies. Then a sudden jump gets you into the design of large observational projects and the instruments necessary to perform them. And a coffee conversation with your colleagues turns your attention to the possible existence of oceans in faraway planets and the moons that may reflect upon them. Science is the same one the whole time, but the path is ever changing.
Ponente: Alberto Fernández Soto (IFCA (CSIC-UC))
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16
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Seminarios ICTEAModerador: Enrique Díez Alonso (Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))
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17
A Two-Stage Machine Learning Framework for FeO Prediction in Lunar Hyperspectral Data
This talk presents a machine learning framework for estimating FeO concentrations in the lunar regolith, focusing on a two-stage methodology that combines unsupervised and supervised learning. The approach addresses key challenges in hyperspectral data analysis, including high dimensionality, noise, and nonlinear relationships between spectral reflectance and composition. In the first stage, an unsupervised feature extraction process is applied to hyperspectral data fromthe Moon Mineralogy Mapper (M3). A multiscale wavelet transform is used to reduce noise and preserve relevant spectral structures, followed by a deep autoencoder that learns a compact nonlinear latent representation of the spectra. This step enables efficient dimensionality reduction while retaining the spectral information necessary for mineralogical interpretation. In the second stage, these latent features are used as input for supervised regression models to predict FeO concentrations. Several algorithms are evaluated, with Random Forest selected as the final model due to its robustness and ability to capture complex nonlinear relationships. The model is calibrated using laboratory spectra and geochemical data from Apollo samples and validated with independent observations. The proposed framework enables the generation of high-resolution, spatially consistent FeO maps and demonstrates strong generalization across different geological contexts. Overall, the combination of unsupervised feature learning and supervised prediction provides an effective and scalable solution for lunar geochemical mapping, with direct implications for planetary exploration and in-situ resource utilization (ISRU).
Ponente: Julia Fernández Díaz (ICTEA) -
18
Graph Neural Networks for Displaced Muon Classification
Displaced muons constitute one of the key signatures of numerous Beyond the Standard Model (BSM) theories involving Long-Lived Particles (LLPs). Furthermore, the detection and selection of these kind of objects represents a technical challenge. In fact, the trigger system operates under severe latency requirements, deciding whether each recorded event should be kept or not within extremely short time intervals. To address this challenge, we are developing algorithms based on Machine Learning (ML) techniques, specifically Graph Neural Networks (GNNs), for the trigger system to improve the classification efficiency of events containing displaced dimuons.
Ponente: Elena Aller Gutierrez (ICTEA - Universidad de Oviedo) -
19
The Landscape and the Swampland: Searching for Consistent Universes
String theory aims to unify quantum physics and gravity into what is called a theory of Quantum Gravity. One of its most surprising features is that it allows an enormous number of possible universes, each arising from different ways of compactifying extra spatial dimensions, forming what is known as the Landscape. But are all these universes physically consistent? The Swampland Program explores this question by searching for general principles that any theory compatible with Quantum Gravity should satisfy. In this talk, I will introduce these ideas in a pedagogical and accessible way, giving an overview of the Landscape and the Swampland, and explaining how research in this area is carried out through the use of Conjectures, illustrating the idea with one concrete example.
Ponente: Luis Germán Varona Galán (ICTEA - Universidad de Oviedo) -
20
When the CH4 in the mine air is no longer harmful.
ProVAM is a European project framed within the European strategy to combat climate change, whose main objective is the - Reduction of Ventilation Air Methane emissions in the Coal Mining Transformation Process (ProVAM)
The project is studying different technical solutions to combat methane from mine ventilation and is implementing one of them experimentally at the GIG's Barbara experimental mine in Poland. The results are promising, and the possibility of implementing it on a full scale in several mines belonging to the Polish company JSW is currently being analyzed.
At the University of Oviedo, we focus on the analysis of operational, environmental, and economic risks.
Ponente: Gregorio Fidalgo Valverde -
21
Triggering on Muon Showers at the CMS Experiment
The High-Luminosity Large Hadron Collider (HL-LHC) will deliver unprecedented collision rates, demanding ultra-fast trigger systems capable of selecting the most interesting events in real time. In the CMS experiment, one of the challenges is identifying rare and unconventional signatures that standard trigger algorithms often miss, such as muon showers: localized bursts of detector activity produced when highly energetic muons interact with detector material, or potentially when exotic long-lived particles decay inside the detector. These effects can confuse conventional reconstruction algorithms, reducing the efficiency for detecting high-momentum muons and possible new-physics signatures. In this edition of the ICTEA Days, I present the current status of the development of new strategies for the CMS Level-1 muon trigger capable of identifying muon-shower signatures directly from low-level detector information within the strict latency constraints of FPGA-based hardware operating at MHz event rates. Our studies demonstrate efficient muon-shower tagging while maintaining acceptable trigger rates, opening the possibility of improving sensitivity to high-momentum muons and long-lived particle signatures already at the earliest stage of data acquisition.
Ponente: Daniel Estrada Acevedo (Universidad de Oviedo)
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17
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Pausa: Coffee Break
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Seminarios ICTEAModerador: Carlos González Gutiérrez (Universidad de Oviedo)
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22
The next step in Holography: de Sitter
This talk will begin with an introduction to holography, starting from Hawking and Bekenstein's proposal for black hole entropy, which led to 't Hooft and Susskind's holographic principle; going through Maldacena's AdS/CFT correspondence as the first and currently the only realization of this principle; and ending with a discussion about current work trying to find a hypothetical holographic dual to de Sitter spacetime, and its importance. Lastly, I will talk about my work, arxiv:2603.29443, where my collaborators and I obtain new results which could constrain the properties of this unknown holographic dual of de Sitter.
Ponente: José Manuel Begines (ICTEA - Universidad de Oviedo) -
23
A pixel-based Neural Network method for CMB component separation in polarization
The detection of the primordial B-mode polarization in the Cosmic Microwave Background (CMB) is one of the most compelling goals in modern cosmology, as it would provide strong evidence for an inflationary period. Achieving this requires accurate component separation techniques to disentangle the cosmological signal from astrophysical foregrounds and instrumental noise. In this work, we present the development of a method based on Neural Networks (NN) to address this challenge. The proposed approach is pixel-based, making it independent of the underlying sky geometry and thus suitable for working directly on spherical data. It is designed to recover the different sky components, including the CMB and polarized galactic components. In the first step, we apply this method to simulated observations from a next-generation CMB experiment, presenting some preliminary results on its performance.
Ponente: Valentina Franco Velásquez (Universidad de Oviedo) -
24
Genera-Copa project: gender and diversity perspective in higher education
This project is funded by the European Commission within the framework of the ERASMUS+ programme that seeks to integrate the gender perspective, diversity and inclusion in teaching and research, especially in STEM fields where there is a lower presence of women and minority groups. The talk will be focused on the status and goals of the project.
Ponente: Barbara Alvarez Gonzalez (University of Oviedo and ICTEA) -
25
Computing @ ICTEA
Last year we decided to start integrating the computing resources of the different groups at ICTEA. We will present the current status of this effort and the path ahead.
Ponentes: Carlos González Gutiérrez (Universidad de Oviedo), Dr. Isidro González Caballero (ICTEA - Universidad de Oviedo)
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22
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Seminarios Invitados
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26
La experiencia del CITIC
Manuel González Penedo, director del CITIC, nos hará un recorrido por las funciones, objetivos y características de este centro, así como su experiencia para constituirse como uno de los centros de excelencia del sistema gallego de ciencia.
Ponente: Manuel González Penedo (CITIC) -
27
Mesa redonda: Hacia un centro mixtoPonentes: Javier de Cos Juez (ICTEA- Universidad de Oviedo), José Francisco Tirado (UCM), Prof. Manuel González Penedo (CITIC)
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26
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