Ponente: Miguel Báguena

Día: martes 20 de diciembre

Hora: 12:00

Lugar: Laboratorio de Telemática (EUPT, Teruel)

Duración: 2 horas

Abstract

Las Redes Vehiculares se van a convertir en una realidad en nuestras carreteras en un futuro cada vez más cercano. No obstante, todavía quedan algunos aspectos a resolver, especialmente aquéllos relacionados con la calidad de los servicios ofrecidos.
En la presente charla, nos centraremos en el soporte a servicios a tres niveles diferentes: i) a nivel de capa física y de enlace, ii) a nivel de capa de red, y iii) a nivel de capa de transporte. En concreto, se presentarán algunos modelos de propagación y de atenuación para los estándares 802.11p y LTE, un protocolo de enrutamiento híbrido llamado AVE y un protocolo de entrega de contenidos para canales con pérdidas.

Ponente: Miguel Báguena

Día: miércoles 21 de diciembre

Hora: 10:00

Lugar: Laboratorio de Telemática (EUPT, Teruel)

Duración: 2 horas

Abstract

Debido al alto coste de realizar pruebas utilizando despliegues reales a la hora de trabajar con Redes Vehiculares, una de las técnicas más utilizadas es la simulación. Esta simulación, como es de suponer, debe contemplar todo tipo de detalles, siempre dirigidos a incrementar el nivel de realismo de dichas simulaciones, así como la precisión de los resultados obtenidos. En el presente seminario, se presentarán los detalles más importantes a tener en cuenta a la hora de realizar simulaciones, se dará un tutorial del simulador OMNeT++ y de sus modelos para simulación de entornos vehiculares, y finalmente se presentará la herramienta VACAMOBIL, que permite la simulación de movilidad realista de vehículos en entornos metropolitanos en base a parámetros predefinidos.

Título: Image Restoration in Participating Media and Its Application For Robotics

Ponente: Paulo Drews-Jr

Día: Martes 29 de noviembre

Hora: 12:00

Lugar: Seminario del Departamento de Informática e Ingeniería de Sistemas

Abstract: The computer vision and image processing fields have witnessed remarkable advances on a wide range of problems, most of them with direct impact on the robotics field. Regardless of the advances, they assumed that the light rays travel through the medium without any alteration. However, the medium can change the intensity and the direction of the light rays being named participating medium. Among them, the most important in terms of robotics application and discussed here are the turbid water and haze/fog. This talk presents the adopted approaches to reduce the effects generated by the medium. They are based on a physical light attenuation model which is used to enhance the quality of visual features of the images and the applicability of traditional computer vision techniques for these images. Furthermore, the talk shows the recent works developed in NAUTEC/FURG on robotics and computer vision.

Short Bio: Paulo Drews-Jr is a D.Sc. and M.Sc. in Computer Science at Federal University of Minas Gerais (UFMG) under supervisor of Prof. Mario Campos, Belo Horizonte, Brazil. His doctoral dissertation was focused in restoration of images acquired in participating media. His master thesis was focused on change detection and shape retrieval in 3D Maps. He graduated in Computer Engineering at the Federal Univesity of Rio Grande (FURG), Rio Grande, Brazil. His main research interests are robotics, computer vision, image processing, pattern recognition and machine learning. He was a researcher at the ISR Coimbra's Mobile Robotics Lab, collaborating, as a research fellow on the FP projects Prometheus and IRPS. He was also a visiting researcher in the Autonomous System Lab at QCAT-CSIRO, Brisbane, Australia. Currently, he is Assistant Professor at Federal University of Rio Grande.

Día: 28 de octubre de 2016

Hora: 12:00

Lugar: Seminario del Instituto Universitario de Investigación en Ingeniería de Aragón (I3A)

Edificio I+D+I – Campus Río Ebro

C/Mariano Esquillor s/n

50018, Zaragoza

Invited Talk: Dr. Craig Alexander Lee

Title: “Federation Management (Cloud and Otherwise) Using the OpenStack Mitaka Release”

Abstract:

Federation is a fundamental goal of many distributed systems, including clouds, and more accurately, services. As a possible corollary to Metcalfe's Law, the value of a cloud is proportional to the square of the number of users and services connected. A key concept to grasp is that in a service architecture, federation can be done at any level in the system stack. A cloud is simply a set of services, and a SaaS cloud can include any arbitrary, application-level services. As such, cloud federation is a special case of general service federation.

This talk establishes the basic requirements and properties for federation and reviews relevant, existing standards. We review the NIST Cloud Deployment Models to extract the more fundamental properties of _trust boundaries_ and _trust topologies_. This allows us to describe a set of Federation Deployment Models.

Armed with this clear understanding of the federation design space, we describe our current work in building a prototype, KeyVOMS, a Keystone-based Virtual Organization Management System. KeyVOMS uses the Virtual Organization concept (originating in the grid computing era) for managing federations, and is based on a re-purposed OpenStack Keystone v3 server. Our current implementation is a simple, centralized, third-party server, based on the Havana release. We are currently implementing a Peer-to-Peer version based on the Mitaka release that will leverage the latest Keystone capabilities. We conclude by reviewing related work and future work. Biographical Sketch: Craig Alexander Lee Craig A. Lee is a Senior Scientist in the Computer Systems Research Department of The Aerospace Corporation, a non-profit, federally funded, research and development center. Dr. Lee has worked in the area of parallel and distributed computing for the last 35 years. This work led to Dr. Lee's involvement in the Open Grid Forum (OGF) where he is served as President from 2007 to 2010. In this capacity, he served as the point of contact with DMTF, SNIA, TMF, the Open Cloud Consortium, Cloud Security Alliance, OMG, OASIS, and other organizations working on cloud standards. During this period, OGF produced the Open Cloud Computing Interface (OCCI), an open standard API for infrastructure clouds. Dr. Lee is now supporting the National Institute for Standards and Technology (NIST) in their Cloud Computing Program. He contributed significantly to the NIST Cloud Technology Roadmap and is now supporting the NIST Cloud Federation Working Group. Dr. Lee is on the steering committee for the ACM/IEEE International Conference on Utility and Cloud Computing (UCC) and the ACM/IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid). He has served on the program committee for many other conferences and workshops, and has served as a panelist for the NSF, NASA, DOE, and as an international evaluator for INRIA. Dr. Lee has published over 80 technical works, including four book chapters and seven edited volumes and issues, and is an associate editor of Future Generation Computing Systems (Elsevier) and on the editorial board of the International Journal of Cloud Computing (Inderscience). He is also a member of the ACM and the IEEE Computer Society. Dr. Lee has a Ph.D. in Computer Science from the University of California, Irvine, and has lectured undergraduate computer science courses at UCLA.

Lugar: Seminario Departamento

Día: 20 septiembre

Hora: 10:30 horas

Ponente: Carlos Pascal

Technical University of Iasi, Romania

Abstract:

The presentation contains a brief overview of systems and computer engineering research and laboratories at Technical University of Iasi: sound of vision project [1], autonomous mobile robots - sample gathering project [2], and other small projects. This is followed by my research on holonic manufacturing systems [3] and [4]. Here, it is discussed about connecting the implementation of manufacturing systems with their behavioral models that can be obtained by the means of colored Petri nets [5]. Distributed algorithms are between the topical approaches used in manufacturing control architectures. Their validation and evaluation techniques are challengeable due the non-deterministic execution and the partial knowledge of each entity. The development phase can hide several issues; for example, to reproduce a failure or worse execution based on the simulation data may be difficult. With respect to this, one possibility is to develop a model-prototype enclosing some basic characteristics: simple and understandable, shareable, modifiable, catching the partial/entire system’s behavior, allowing space state analysis and simulations. Such a model can be built up through colored Petri nets, using the CPN Tool [5]. The considered example regards the model for three distributed constraint satisfaction algorithms [6]: synchronous backtracking, asynchronous backtracking and weak-commitment search. Following this approach, other distributed protocols can be designed and validated, too.

1. www.soundofvision.net

2. www.loris.tuiasi.ro

3. Panescu, D., Pascal, C., 2012. HAPBA – a Holonic Adaptive Plan-Based Architecture. In: Borangiu, Th., Thomas, A., Trentesaux, D. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing Control, Springer, pp. 61-74.

4. Panescu, D., Pascal, C., 2015. Holonic coordination obtained by joining the contract net protocol with constraint satisfaction. Computers in Industry, vol. 81, pp. 32-46.

5. Jensen, K., Kristensen, L.M., 2009. Coloured Petri nets: modeling and validation of concurrent systems. SpringerVerlag, New York.

6. Yokoo, M., Durfee, E., Ishida, T., Kuwabara, K., 1998. The distributed constraint satisfaction problem: formalization and algorithms. IEEE Transaction on Knowledge and Data Engineering, 10(5), pp. 673-685.

Lugar: Seminario Departamento

Día: 13 septiembre

Hora: 16 horas

Ponente: Xiaolan XIE

Centre for Biomedical & Healthcare Engineering
CNRS UMR 6158 LIMOS
Ecole Nationale Supérieure des Mines de Saint Etienne
158 cours Fauriel, 42023 Saint Etienne
xie@emse.fr

and

Centre for Healthcare Engineering
Dept. Industrial Engineering & Management
Shanghai Jiao Tong University
800 Dong Chuan Rd., Shanghai 200240, P.R. China

Abstract:

In this talk, I will first give an overview of my research in healthcare in France and in China since over 10 years. I will then focus on stochastic models for planning and dynamic scheduling of operating rooms.

I first present stochastic models for Operating Room (OR) planning with two classes of patients: elective surgery and emergency surgery. Elective cases can be planned starting from an earliest date with a patient related cost depending on the surgery date. Emergency cases arrive randomly and have to be performed in the day of arrival. The planning problem consists in assign elective cases to different periods over a planning horizon in order to minimize the sum of elective patient related costs and overtime costs of operating rooms. We first propose a basic stochastic mathematical programming model and a Monte Carlo optimization method combining the Monte Carlo simulation and Mixed Integer Programming. The convergence to real optimal and properties of the convergence rate as the computation budget increase are established. We then extended the basic OR planning model to include important factors such as patient to OR assignment, random operating times and overtime capacity constraints. The Monte Carlo optimization method can be extended to solve the more general case but the computation time quickly goes beyond acceptable limit. We then propose a column generation approach that is able to provide efficient solutions for problems of realistic size with duality gap of less than 1%.

I will then address the daily surgery scheduling in a multi-OR setting with random surgery durations. We first address the dynamic assignment of a given set of surgeries with planned surgeon arrival times also called appointment times. Surgeries are assigned dynamically to ORs. The goal is to minimize the total expected cost incurred by surgeon waiting and OR idling/overtime. We first formulate the problem as a multi-stage stochastic programming model. An efficient algorithm is then proposed by combining a two-stage stochastic programming approximation and some look-ahead strategies. A perfect information-based lower bound of the optimal expected cost is given to evaluate the optimality gap of the dynamic assignment strategy. Numerical results show that the dynamic scheduling and optimization with the proposed approach significantly improve the performance of usual static scheduling and First Come First Serve (FCFS) strategies.

We then address the optimization of surgeon appointment times for a sequence of surgeries. Surgeries are assigned to ORs dynamically on a FCFS basis. It materially differs from past literature in the sense that dynamic assignments are proactively anticipated in the determination of appointment times. A discrete-event framework is proposed to model the execution of the surgery schedule and to evaluate the sample path gradient of a total cost incurred by surgeon waiting, OR idling and OR overtime. The sample path cost function is shown to be unimodal, Lipchitz continuous and differentiable w.p.1 and the expected cost function continuously differentiable. A stochastic approximation algorithm based on unbiased gradient estimators is proposed and extensive numerical experiments suggest that it converges to a global optimum. A series of numerical experiments are performed to show the significant benefits of Multi-OR and properties of the optimal solution with respect to various system parameters such as cost structure and numbers of surgeries and ORs.

The last part of this talk is devoted to the daily overtime management to provide OR-teams with different degrees of guarantee of on-time end of the day. This problem is modelled as two stochastic bin packing problems with chance constraints: a stochastic programming model and a robust formulation with moment information. We present a tailored branch-and-price approach based on a column generation reformulation for which CVaR and probabilistic sets are employed to speed-up the resolution of the pricing problems. For the distributionally robust formulation the worst-case distribution is shown to be a three-point distribution, analytical expression of the worst chance probability derived and simple mixed integer linear program model obtained. We implement a series of real-data-based numerical experiments to show that the benefits of optimal allocation and illustrate the value of robust solution.

Lugar: Seminario DIIS Ada Byron
Fecha: miércoles 16 de marzo de 2016
Hora: 16 horas

Ponente
Daniel Pons Betrián es Ingeniero en Informática por la Universidad de Zaragoza y Doctor por la Universidad de Alcalá. Ha trabajado como ingeniero informático en Telefónica de España S.A.U.. Es profesor de informática en el cuerpo de Profesores Técnicos de Formación Profesional en la especialidad de Sistemas y Aplicaciones Informáticas y actualmente trabaja como Asesor Técnico del Centro Aragonés de Tecnologías para la Educación. Está colaborando con el subcomité de AENOR “AEN/CTN71/SC36 Tecnologías de la Información para el Aprendizaje” para el desarrollo de una norma española sobre la calidad de los recursos educativos.

Resumen
El crecimiento exponencial de los recursos educativos digitales lleva a estudiar la aplicación de indicadores para la medición de la calidad de objetos de aprendizaje y de la formación virtual. Los metadatos son un lugar idóneo para almacenar información sobre la calidad de los objetos de aprendizaje. La estructura de metadatos para el e-learning denominada LQM, basada en estándares de metadatos de objetos de aprendizaje y en estándares de calidad de la formación virtual, permite un mejor desempeño para los sistemas de catalogación, almacenamiento y localización de recursos educativos utilizando la calidad como criterio de búsqueda. Se presentarán los principios de diseño de una herramienta software de catalogación de objetos de aprendizaje, la cual realiza una evaluación automática de la calidad de la formación virtual.

Ponente: Manuel Fogué Cortés
Lugar: Laboratoria de Telemática de la EUPT
Día: 5 de febrero de 2016
Hora: 9:00 AM
Duración aproximada: 1.5 horas

Resumen
La integración de las tecnologías de la telecomunicación a la industria automovilística es un hecho que cambiará, en un plazo de tiempo relativamente corto, la forma en que entendemos el transporte. Un enorme abanico de aplicaciones relativas a la seguridad y al confort de los pasajeros son posibles en este entorno, pero surgen numerosos retos a resolver, desde el desarrollo de simuladores que reduzcan el coste de experimentación, a la obtención de algoritmos inteligentes que sean capaces de procesar la información recogida por el gran número de vehículos. En la charla se presentarán soluciones desarrolladas durante los últimos años, así como retos a solucionar en el futuro.

Breve bio del ponente
Manuel Fogué es profesor ayudante doctor en la Universidad de Zaragoza. Estudió Ingeniería Técnica en Informática de Gestión en la Universidad de Zaragoza (2007), Ingeniería Informática en la Universitat Jaume I de Castellón (2009), y obtuvo su Doctorado de nuevo en la Universidad de Zaragoza en 2012. Es miembro del grupo de investigación Intelligent Networks and Information Technologies (iNiT). Sus intereses de investigación incluyen la simulación de VANETs, los Sistemas de Transporte Inteligente, las comunicaciones vehículo a vehículo (V2V) y vehículo a infraestructura (V2I), así como la aplicación de Inteligencia Artificial a los entornos vehiculares.

Ponente: Julio A. Sangüesa
Lugar: Laboratoria de Telemática de la EUPT
Día: 5 de febrero de 2016
Hora: 11:00 AM
Duración aproximada: 1.5 horas

Resumen
Debido al desarrollo tecnológico, el coche inteligente se está convirtiendo en uno de los protagonistas indiscutibles del siglo XXI. En los últimos años han sido numerosos los avances que vienen siendo introducidos paulatinamente en nuestros vehiculos. Sin embargo, todavía existen dos factores clave en el vehículo del futuro, por un lado el combustible que dichos vehículos consumirán, siendo el vehículo eléctrico uno de los más prometedores, y por otro lado los sistemas de comunicación entre vehículos, que en un futuro a medio plazo podrán permitir la existencia del vehículo autónomo y la conducción cooperativa. Por otra parte, uno de los principales hándicaps de este sector es la lenta renovación del parque móvil existente, por lo que se hace necesaria la incorporación de tecnologías intermedias que nos permitan acelerar la introducción progresiva de las nuevas propuestas y servicios.

Breve bio del ponente
Julio A. Sangüesa es investigador en el grupo de Redes de Computadores de la Universitat Politècnica de València y colaborador del grupo iNiT. Es Ingeniero Técnico en Informática de Gestión por la Universidad de Zaragoza; posteriormente realizó el Grado en Ingeniería en Sistemas de Información por la Universidad Católica de Ávila y un Máster en Software Libre en la Universidad Oberta de Catalunya. En 2014 obtuvo el grado de Doctor en la Universidad de Zaragoza. Sus intereses de investigación incluyen la simulación de VANETs, Vehículos Eléctricos, Sistemas de Transporte Inteligente, y las comunicaciones vehículo a vehículo (V2V).

Ponente: Stefano Marrone de la Universitá di Napoli Federico Secondo
Lugar: Seminario del DIIS
Fecha: 3/2/2016
Hora: 15:30

Resumen:
Reliability assessment has been traditionally dominated by the Fault Trees vs Markov Chains discussion. Between this two extremes, Bayesian Networks are a valid alternative option since a greater modeling power than the Fault Trees and greater solution efficiency than Markov Chains. This talk introduces such language showing how it can be used in the modeling of reliability, safety and security of complex and critical systems. The talk also summarizes some experiences of framing the BN formalism into model-driven approaches.

Ponente: Javier González-Jiménez
Hora: 9:00AM
Duración aproximada: 1 hora
Lugar: Seminario del Departamento de Informática e Ingeniería de Sistemas.

Abstract:
La aparición reciente de cámaras de profundidad compactas y de bajo coste ha supuesto un revulsivo en la capacidad sensorial de los robots autónomos, hasta el punto que estamos asistiendo a avances que hacen presagiar a muy corto plazo aplicaciones robóticas que hasta hace pocos años se pensaban lejanas en el tiempo. El aprovechamiento en robótica de estas nuevas tecnologías (cámaras TOF y RGB¬D, fundamentalmente) exige métodos y algoritmos específicos que procesen eficientemente la ingente cantidad de datos suministrados y, en última instancia, proporcionen al robot información del entorno útil para navegar, tomar decisiones, interaccionar con personas, etc. En esta charla, el prof. González¬Jiménez revisa las aportaciones del grupo MAPIR¬UMA (http://mapir.isa.uma.es) en este campo. Entre otros, se presentan resultados en odometría visual y su generalización al flujo de velocidad de los puntos de la escena, la construcción de mapas basados en planos, el reconocimiento de objetos y habitaciones basado en información contextual, y la calibración extrínseca relativa de varios sensores a bordo del robot.

Ponente: Eckehard Steinbach
Hora: 10:00AM
Duración aproximada: 1 hora
Lugar: Seminario del Departamento de Informática e Ingeniería de Sistemas.

Abstract:
This talk addresses the challenge of localizing mobile devices inside large building structures with a special focus on visual localization. In visual indoor localization, the position and orientation of a mobile device are recovered using the images captured by its built-in video camera. Given these images, location information can be obtained by comparing the captured images with a data base of geo-tagged reference images of the environment using concepts from the field of content-based image retrieval. Flexible and cost-efficient acquisition of this reference image data base is a key technology in this context. Hence, a significant part of the talk will be devoted to the acquisition of this data base for a previously unknown environment. Once this reference data is available, then pose estimation needs to be performed with minimum latency, and hence the talk will also cover concepts for minimizing the client server communication for visual localization. In order to improve the robustness and accuracy of the indoor localization process, the visual information needs to be fused with other sources of information, such as pedometer, WiFi, magnetometer, etc. To this end we present a graph-based fusion algorithm which substantially reduces the complexity of a particle filter-based sensor fusion approach and makes it applicable on standard mobile devices. The talk will end with a demonstration of our prototype visual indoor localization and navigation system and an overview of the remaining challenges on the way to GPS-free indoor navigation.

Ponente: Antonio de la Vega, director durante los últimos años del del Departamento de Ingeniería de General Motors España en Figueruelas
Jueves 26 de noviembre, de 10:00-12:00, en el Aula A-14 del Ada Byron
Título: Planificación y ejecución de proyectos de manufactura

El objetivo del seminario es transmitir la experiencia durante los últimos años en el desarrollo de proyectos de manufactura. Se explicará una metodología para la planificación, implantación y seguimiento de Proyectos de manufactura. Se plantearán todas las fases de un proyecto, y se ilustrará con ejemplos prácticos, herramientas y medios de planificación y control. Se expondrán cambios tecnológicos llevados a cabo en sucesivos proyectos a lo largo del tiempo, así como motivos para realizarlos y las ventajas esperadas y obtenidas. Estos cambios están relacionados con la implantación de automatismos, de robots y de sensores, en especial visión artificial, en diferentes etapas del proceso de fabricación.Se discutirán las experiencias adquiridas durante 18 años de trabajo en este campo.

Jueves, 24 Sep. 12:00. Seminario Dpto.
Nombre: Ricardo Martin Brualla, PhD Candidate at University of Washington Título: Time-lapse Mining from Internet Photos.

Abstract:
I will describe an approach for synthesizing time-lapse videos of popular landmarks from large community photo collections. The approach is completely automated and leverages the vast quantity of photos available online. First, we cluster 86 million photos into landmarks and popular viewpoints. Then, we sort the photos by date and warp each photo onto a common viewpoint. Finally, we stabilize the appearance of the sequence to compensate for lighting effects and minimize flicker. The approach is also extended to moving camera paths where a virtual camera moves both in space and time, creating time-lapse videos with compelling parallax effects. Our resulting time-lapses show diverse changes in the world's most popular sites, like glaciers shrinking, skyscrapers being constructed, and waterfalls changing course

(see this video ).

Ponente: Pablo García Risueño Institut für Physik und IRIS Adlershof, Humboldt Universität zu Berlin
Martes 7 de julio, 12:00 en el Seminario 23 del Ada Byron
Título: Constraint Algorithms for Molecular Dynamics

Molecular Dynamics simulations of biological molecules have a central role in science at present. In order to simulate relevant phenomena, it is important to increase the time step of the simulations. At this talk we will summarize a research project that is currently carried out at the University of Zaragoza, and whose goal is to increase the time step of these simulations.

Ponente: Mg. Ing. Santiago Pérez, Universidad Tecnológica Nacional de Argentina.
Dia y hora: martes 07 de julio de 10:00 a 12:00 h. (incluyendo tiempo para preguntas/discusión).
Lugar: Seminario del Departamento de Informática e Ingeniería de Sistemas. Edificio Ada Byron, planta 1ª. Campus Río Ebro.

Resumen:
El seminario se divide en dos partes, y se refiere a líneas abiertas y trabajos recientes de investigación sobre el comportamiento de tráfico de red en ciertas condiciones particulares.
1. Modelación del tráfico de video Ethernet. Estudios experimentales de su comportamiento en redes cableadas Ethernet.
Se plantean los estudios experimentales realizados sobre la conducta del tráfico de video comprimido en redes cableadas, y que a mediano plazo, incluirán también el mismo estudio sobre las redes Wi-Fi. Se presentará la función de los codecs de video, y la metodología utilizada para el estudio de las capturas del tráfico generado con un video de estudio.
Se incluirán los siguientes tópicos: ingeniería de tráfico, avances alcanzados, video digital, compresión de video, formato de la trama de video, escenarios de prueba, algunos resultados, modelos de tráfico de video.
Al finalizar esta primera parte, se resumirá un trabajo presentado en un Congreso IEEE.

2. Impacto de BER (Bit Error Rate) en el rendimiento de redes Inalámbricas Wi-Fi. Estudios por simulación. Se plantean los estudios de simulación realizados sobre la conducta del tráfico de Wi-Fi en presencia de interferencias. A partir del análisis de escenarios simulados (usando Redes de Petri), se expondrán estudios de máximo rendimiento Wi-Fi posibles para distintas longitudes de tramas. Y se presentará el modelo de error utilizado, y los avances de estudios variando el nivel de error (BER), y su impacto sobre los rendimientos máximos.
Se incluirán los siguientes tópicos: máximo rendimiento en Wi-Fi, modelo de error de Gilbert-Elliot, escenarios de prueba, demostración, conclusiones.

Titulo Conferencia: Proyecto Romol: Runtime Aware Architectures
Fecha: Lunes 1 de Junio, 18h
Lugar: Aula A03, Edificio Ada Byron, Campus Rio Ebro

Abstract:
In the last years the traditional ways to keep the increase of hardware performance to the rate predicted by the Moore's Law vanished. When uni-cores were the norm, hardware design was decoupled from the software stack thanks to a well defined Instruction Set Architecture (ISA). This simple interface allowed developing applications without worrying too much about the underlying hardware, while computer architects proposed techniques to aggressively exploit Instruction-Level Parallelism (ILP) in superscalar processors. Current multi-cores are designed as simple symmetric multiprocessors on a chip. While these designs are able to compensate the clock frequency stagnation, they face multiple problems in terms of power consumption, programmability, resilience or memory. The solution is to give more responsibility to the runtime system and to let it tightly collaborate with the hardware. The runtime has to drive the design of future multi-cores architectures. In this talk, we introduce an approach towards a Runtime-Aware Architecture (RAA), a massively parallel architecture designed from the runtime's perspective.

CV: Mateo Valero Cortés.
http://www.bsc.es/cv-mateo
Doctor Ingeniero de Telecomunicación. Desde 1983, es catedrático de la Universidad Politécnica de Cataluña (UPC). Ha publicado más de 600 artículos en el área de la arquitectura de los computadores de altas prestaciones. Director del Barcelona Supercomputing Center – Centro Nacional de Supercomputación. Entre sus premios, el Premio Eckert-Mauchly 2007 que es el más importante a nivel mundial en el ámbito de la Arquitectura de Computadores, Premio “Harry H. Goode” 2009 otorgado por el IEEE, Premio ACM distinguished Service Award 2013 otorgado por el ACM, dos premios nacionales de investigación que son: el "Julio Rey Pastor" en Informática y Matemáticas y el “Leonardo Torres Quevedo” en Ingeniería. Premio Rey Jaime I de Investigación de la Generalitat Valenciana. “Hall of Fame” en el marco del ICT European Program, seleccionado como uno de los 25 investigadores europeos más influyentes en IT, Tecnologías de la Información. Fellow del IEEE, Fellow distinguido de Intel y Fellow del ACM. Es miembro fundacional de la Real Academia de Ingeniería de España, académico correspondiente de la Real Academia de Ciencias Exactas, Físicas y Naturales, miembro de la Real Academia de Ciencias y Artes de Barcelona, Miembro de la Academia Europea y académico correspondiente de la Academia Mexicana de Ciencias. Es Doctor Honoris Causa de las Universidades de Chalmers, Belgrado, Las Palmas, Veracruz, Zaragoza, Complutense de Madrid y Universidad de Cantabria en Santander. En 1998, fue elegido hijo predilecto de su pueblo, y en el año 2006, la asociación de madres y padres de alumnos de Alfamén, decidió poner su nombre al Colegio público donde el profesor Valero había estudiado.

Título: Controlling Multiple Agents in their Pursuit of Multiple Objectives
Ponente: Dusan M. Stipanovic
Associate Professor at University of Illinois at Urbana-Champaign http://ise.illinois.edu/directory/profile/dusan
Fecha y hora: Martes 19 mayo, 10:00
Lugar: Seminario 21 Edificio Ada Byron

Abstract: The challenges of controlling dynamic systems with multiple objectives are related to and furthermore include problems in multi-player dynamic games, multiobjective optimization, and decentralized control and estimation. The additional complexity is introduced through nonlinear dynamic models with possible delays and perturbations as well as various state, input and communication constraints. In this talk we will present a number of results related to control and coordination of multi-agent systems pursuing multiple objectives. To illustrate these results some particular examples of controlling multiple agents pursuing multiple objectives such as guaranteed capture or evasion, collision avoidance, coverage control, proximity, and tracking, will be presented.

Ponente: D. Antonio de la Vega

En los últimos años ha sido Director del Departamento de Ingeniería de General Motors España en Figueruelas. Es Ingeniero Industrial por la Escuela Técnica Superior de Ingenieros Industriales de Madrid. Desde 1980 ha trabajado en General Motors España (Figueruelas), con responsabilidad en áreas de mantenimiento, energía, medio ambiente, Ingeniería, control de calidad, producción simplificada y trabajo en equipo.

Seminario 2: 15 de mayo de 12 a 14h. en el Aula A05 del Ada Byron

Resumen
El objetivo del seminario es transmitir la experiencia durante los últimos años en el desarrollo de proyectos de manufactura. Se explicará una metodología para la planificación, implantación y seguimiento de Proyectos de manufactura. Se plantearán todas las fases de un proyecto, y se ilustrará con ejemplos prácticos, herramientas y medios de planificación y control. Se expondrán cambios tecnológicos llevados a cabo en sucesivos proyectos a lo largo del tiempo, así como motivos para realizarlos y las ventajas esperadas y obtenidas. Estos cambios están relacionados con la implantación de automatismos, de robots y de sensores, en especial visión artificial, en diferentes etapas del proceso de fabricación.Se discutirán las experiencias adquiridas durante 18 años de trabajo en este campo.

Ponente: D. Antonio de la Vega

En los últimos años ha sido Director del Departamento de Ingeniería de General Motors España en Figueruelas. Es Ingeniero Industrial por la Escuela Técnica Superior de Ingenieros Industriales de Madrid. Desde 1980 ha trabajado en General Motors España (Figueruelas), con responsabilidad en áreas de mantenimiento, energía, medio ambiente, Ingeniería, control de calidad, producción simplificada y trabajo en equipo.

Seminario 1: 8 de mayo de 12 a 14h. en el Salón de Actos del Ada Byron

Resumen
El objetivo del seminario es transmitir la experiencia durante los últimos años en el desarrollo de proyectos de manufactura. Se explicará una metodología para la planificación, implantación y seguimiento de Proyectos de manufactura. Se plantearán todas las fases de un proyecto, y se ilustrará con ejemplos prácticos, herramientas y medios de planificación y control. Se expondrán cambios tecnológicos llevados a cabo en sucesivos proyectos a lo largo del tiempo, así como motivos para realizarlos y las ventajas esperadas y obtenidas. Estos cambios están relacionados con la implantación de automatismos, de robots y de sensores, en especial visión artificial, en diferentes etapas del proceso de fabricación.Se discutirán las experiencias adquiridas durante 18 años de trabajo en este campo.

Ponente: Stefan Williams
Professor of Marine Robotics
Director of The Marine Systems Group
Head of Australia's Integrated Marine Observing System
Australian Centre for Field Robotics
The University of Sydney
http://www-personal.acfr.usyd.edu.au/stefanw/pmwiki/

Lugar: Salón de Actos, Edificio Ada Byron
Fecha y hora: Lunes 4 de Mayo de 2015, 12h

Abstract:
This talk will present insights gained from the operation of an Australia-wide benthic observing program designed to deliver precisely navigated, time series imagery of the seafloor using Autonomous Underwater Vehicles (AUVs). This initiative makes extensive use of AUVs to collect high-resolution stereo imagery, multibeam sonar and water column measurements on an annual or semi-annual basis at sites around Australia, spanning the full latitudinal range of the continent from tropical reefs in the north to temperate regions in the south. In this talk, we will provide an update on the status of this observing program and outline examples of research that has been facilitated by this work in the areas of environmental monitoring, archaeology and geosciences. Examples of these outcomes highlight our ability to revisit survey sites across multiple years and illustrate how automated tools can be used to identify patterns within the large volumes of data being collected.

Short Bio:
Stefan B. Williams is the Professor of Marine Robotics at the University of Sydney’s School of Aerospace, Mechanical and Mechatronic Engineering. He is a member of the Australian Centre for Field Robotics where he leads the Marine Robotics group. He is also the head of Australia’s Integrated Marine Observing System Autonomous Underwater Vehicle Facility. His research interests include Simultaneous Localisation and Mapping in unstructured underwater environments using visual and acoustic sensing, autonomous navigation and control and classification and clustering of large volumes of data collected by robotic systems. He received his PhD from the University of Sydney in 2002 and completed a Bachelor of Applied Science in Systems Design Engineering at the University of Waterloo, Canada in 1997.

Ponente: Dr. Vincent Lepetit
Professor at the Institute for Computer Graphics and Vision. TU Graz.
http://cvlabwww.epfl.ch/~lepetit/
http://www.icg.tugraz.at/Members/lepetit/vincent-lepetits-homepage

Fecha y hora: Jueves 07 mayo 2015 a las 16:00
Lugar: Seminario S.22 Edificio Ada Byron

Abstract
Extracting image features such as feature points or edges is a critical step of many Computer Vision systems, however this is still performed with carefully handcrafted methods. In this talk, I will present a new Machine Learning-based approach to detecting local image features, with application to contour detection in natural images, but also biomedical and aerial images, and to feature point extraction under drastic weather and lighting changes. I will then show that it is also possible to learn efficient object description based on low-level features for scalable 3D object detection.

Ponente: Dr. David Jacobs, Universidad de Cincinnati (EEUU) & Universidad Autónoma de Madrid
Viernes, 10 de Abril
Seminario 22, Edificio Ada Byron
Horario: 16:30h-17:30h

Título: Aprendizaje directo y aplicaciones en percepción
En los últimos años se ha desarrollado una aproximación dinámica al estudio del aprendizaje perceptivo y perceptivo-motor. Este marco teórico se denomina teoría del aprendizaje directo. Esta aproximación describe el aprendizaje como un movimiento lento y continuo en un espacio de pocas dimensiones, habitualmente denominado espacio de información-calibración. Cada punto de un espacio de información-calibración representa una tupla de una variable informacional junto a una calibración específica. El aprendizaje es definido, por tanto, como un cambio en la variable informacional que es operativa en un momento dado y un cambio en la forma en que dicha variable es usada. El elemento central de esta teoría es que el aprendizaje mismo -el movimiento en ese espacio- es visto como un proceso guiado informacionalmente. En la presente charla se introduce la teoría de aprendizaje directo y se considera algunas posibles aplicaciones.

Dr. David Jacobs, Universidad de Cincinnati (EEUU) & Universidad Autónoma de Madrid David Jacobs es Licenciado en Matemáticas (Universidad de Granada) y en Psicología Experimental (University of Leiden, the Netherlands). Doctor en Human Movement Sciences (Vrije Universiteit, Amsterdam) ha sido investigador en el L’Institut des Sciences du Mouvement Aix-Marseille Université & CNRS, Francia), en el Human Movement Sciences (Vrije Universiteit, Amsterdam) y en el Center for the Ecological Study of Perception and Action de la University of Connecticut (Cincinnati, EEUU). Actualmente se encuentra como investigador en la Universidad Autónoma de Madrid. Su campo de estudio se centra en la teoría del aprendizaje directo.

Fecha: 18/5/2015
Ponente: Carlos Hernández Corbato (GlobalIncubator)
Lugar: Seminario A, Edificio I+D+I - Campus Río Ebro
Hora: 16 a 17

Abstract: There is a current demand for more dependable and autonomous technology. To guarantee mission-level resilience, the limited adaptivity of standard control techniques is not enough, there is a need for actual self-engineering by the system themselves at runtime. For that purpose we propose to leverage the engineering models and biologically inspired cognitive capabilities to build functional metacontrol loops capable of self-awareness and self-adaptation. Our approach goes beyond the customary applications in mobile robotics into the deep waters of autonomous systems engineering. A necessary technology for the machines of the future.

Ponente: Carlos Hernández Corbato es investigador en el Autonomous Systems Laboratory de la Universidad Politécnica de Madrid y CSO en Capital Certainty (capitalcertainty.es) y en Global Incubator (globalincubator.com). Especialista en ingeniería de control y desarrollo de sistemas autónomos, su investigación está centrada en el diseño de tecnologías más autónomas y resilientes, para las cuales incorpora conceptos de ciencias cognitivas como el "self-awareness" con el que pretende generar mecanismos de adaptación en arquitecturas de contro

Martes, 24 de Febrero. Seminario 22, Edificio Ada Byron. Horario: 12h-13h.

Dr. Eduardo Izquierdo. School of Informatics and Computing (Universidad de Indiana, Bloomington, EEUU).

Abstract: Even relatively simple animals exhibit a remarkable combination of flexibility and robustness in their behavior. My research aims to address this challenge by constructing and analyzing empirically-grounded models of brain-body-environment systems. In the talk, I will argue that the nematode worm Caenorhabditis elegans is a convenient initial target for such integrated brain-body-environment modeling of a complete animal. My approach uses artificial evolution to explore the space of unknown electrophysiological parameters of the nervous system necessary to generate organism-like behavior.

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Miércoles, 25 de Febrero. Seminario 22, Edificio Ada Byron. Horario: 12h-13h.

Dr. Ralf Cox. Faculty of Behavioural Social Sciences (University of Groninger, The Netherlands).

Abstract: It is becoming increasingly evident that the temporal variability in behavior constitutes a rich source of information about its coordinative basis. In this presentation I will emphasize the fractal nature of coordination dynamics underlying human performance in the motor domain and beyond. Attention will be given to techniques for detecting and quantifying the temporal structure of behavior and to the implications of this structure for coordination dynamics.

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Viernes, 27 de Febrero. Seminario 22, Edificio Ada Byron. Horario: 12h-13h

Dr. Juan Vidal. Laboratoire de Psychologie et Neurocognition (Université Pierre Mendes-France, Grenoble, France).

Abstract: How does our brain work? How does it explain the way we behave and how we experience our world? These general questions are approached from the point of view of cognitive neuroscience, a research field which merges cognitive psychology and neuroscience. In this talk I will introduce the general concept of selective neuronal communication which lies at the center of functional network interactions in the so-called brainweb. In animal and human neural systems, selective communication is achieved through the mechanism of neuronal oscillatory synchronization. I will review various human and animal intracranial recording studies which focus on neuronal oscillatory synchronization.

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Título: Experiments with the iCub: modelling oculo-motor control and understanding object affordances Día: 19/1/2015
Hora: 12:30-13.30
Lugar: Salon de Actos Ada Byron

Ponente: José Santos-Victor - IST, Institute of Systems and Robotics, Lisbon

I will describe some of the experiments we have carried out with the iCub and how they can help us understanding several aspects concerning human cognition. One set of examples will be devoted to the coordination of gaze movements with arm reaching and grasping movements. I will illustrate how data extracted from human subjects can be used to model the interplay between different biologically plausible control loops. In the second part of the talk I will briefly describe how we have used the iCub to learn and explore object affordances and how the aff19/1/2015ordances can be used as a construct for higher-level cognitive skills

Lugar: Salón de Actos, Edificio Ada Byron
Día: Lunes 15 de Dic
Hora: 12:00
Ponente: Davide Scaramuzza, University of Zurich

Resumen:
In the last two years, we have heard a lot of news about Micro Aerial Vehicles (MAVs), in the form of small quadrotors. Quadrotors have numerous advantages over ground vehicles: they can easily reach environments that no human can access and have more agility and navigational capabilities than ground vehicles. Unfortunately, their dynamics makes them extremely difficult to control and this is particularly true in absence of external positioning systems, such as GPS.. In this talk, I will give an overview of my research activities on visual navigation of MAVs, from slow navigation (using standard frame-based cameras) to agile flight (using event-based cameras).

Robotics and Perception Group of University of Zurich.

Google + Davide Scaramuzza.

Bio:
Davide Scaramuzza is Assistant Professor of Robotics at the University of Zurich and Adjunct Faculty at ETH Zurich. He is founder and director of the Robotics and Perception Group, where he develops cutting-edge research on low-latency vision and visually-guided micro aerial vehicles. He received his PhD (2008) in Robotics and Computer Vision at ETH Zurich (with Roland Siegwart). He was Postdoc at both ETH Zurich and the University of Pennsylvania (with Vijay Kumar and Kostas Daniilidis). For his research contributions, he was awarded an ERC Starting Grant (2014), the IEEE Robotics and Automation Early Career Award (2014), a Google Research Award (2014), the European Young Researcher Award (2012), and the Robotdalen Scientific Award (2009). He is coauthor of the 2nd edition of the book “Introduction to Autonomous Mobile Robots” (MIT Press). He is author of the first open-source Omnidirectional Camera Calibration Toolbox for MATLAB, also used at NASA, Bosch, and Daimler.

Lugar: Seminario del Departamento
Día: 3 miércoles de Diciembre
Hora: 12h
Ponente:José Luis García Malacara.

We are concerned with controllability and observability of timed continuous Petri nets (TCPN) under the infinite server semantics. In particular, we deal with structural and generic controllability (i.e., controllability for all values of the firing rates, and for almost all values of those parameters, respectively). Using ideas developed for linear structured systems theory, the concept of generic controllability is employed to characterize controllability for TCPN in terms of the structure of the Petri net graph. Joins, conflicts, forks and attributions are used to explain how control signals are transmitted or blocked through the net. Based on the net graph, the obtained results are viewed as the dual of the previous obtained for structural and generic observability in TCPN. Clear relationships are stated using the duality concept on Petri net graphs.

Lugar: Seminario del Departamento.
Día: 3 miércoles de Diciembre.
Hora: 13h.
Ponente: Manuel Navarro.

The dynamic behavior of TCPN under the infinite server semantics will be considered. In particular, we study the change of the throughput in steady state due to the variation of a firing rate. Jumps in this value (equivalently in the steady state marking) are considered as bifurcations. They occur in nets in which the equilibrium marking of a region goes from being stable to unstable. In _equal-conflict_ nets the bifurcation may occur depending on the firing rates of transitions in conflicts; if transitions are also joins, the steady state marking lies in the boundary between regions.
We show that in consistent and conservative _choice-free_ Petri nets the change in the steady state throughput is continuous. This kind of result can be extended to equal-conflict nets when we vary the firing rates of transitions which are persistent. So, the throughput in steady state is continuous, moreover also monotone for these classes of nets.
Similarly, the variation of the initial marking is considered. There are relationships between the observed behavior of the throughput due to the change of a firing rate and the variation of components of the initial marking. Bifurcations are critical for the performance of the net system, thus very interesting in order to control them

- Ponente:Dr Walterio Mayol Cuevas

- Breve biografía del ponente
Walterio W. Mayol-Cuevas (M’94) received the B.Sc. degree in computer engineering from the National University of Mexico, Mexico City, Mexico, in 1999, and the D.Phil. degree from St. Annes College, University of Oxford, Oxford, U.K., in 2005. He is currently a Senior Lecturer with the Department of Computer Science, University of Bristol, Bristol, U.K., where he is currently involved in research on computer vision and robotics.

- Lugar y Hora
Jueves 20 de Noviembre, 17:00-18:00

- Breve Resumen
Esta platica hace un resumen de trabajo reciente en Bristol sobre aplicaciones y tecnicas de mapeo visual y aprendizaje en sistemas robooticos y de computacion vestible. Nuestro interes se centra en tecnicas de tiempo real que permitan a plataformas agiles y de pocos recursos computacionales, como cuadcopteros y dispositivos como Google Glass, poder tener mejor informacion de su entorno para poder tanto mejorar su control o bien poder proveer informacion relevante en lugares y tiempos oportunos. En particular se discutiran metodos de relocalizacion en tiempo real, de regresion para aprendizaje en cuadcopteros y de agrupamiento para extraccion de informacion relevante en computadoras visuales vestibles.

Ponente: Juan Domingo Tardós, Dept. Informática e Ingeniería de Sistemas,Universidad de Zaragoza
Dia: Jueves, 13 de Noviembre de 2014
Hora:10:00-12:00h
Lugar: Seminario A24 Edificio Ada Byron

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Ponente: Juan Domingo Tardós, Dept. Informática e Ingeniería de Sistemas,Universidad de Zaragoza
Dia: Jueves, 20 de Noviembre de 2014
Hora:10:00-12:00h
Lugar: Seminario A24 Edificio Ada Byron

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Ponente: Diego Gutiérrez, Dept. Informática e Ingeniería de Sistemas,Universidad de Zaragoza
Dia: Jueves, 11 de Diciembre de 2014
HOra:11:00-12:30h
Lugar: Seminario A24 Edificio Ada Byron

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Ponente: Luis Montesano, Dept. Informática e Ingeniería de Sistemas, Universidad de Zaragoza
Dia: Jueves, 04 de Diciembre de 2014
Hora:11:00-12:30h
Lugar: Seminario A24 Edificio Ada Byron
SeminariosTransversales ISI.pdf

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Green Computing meets Big Data Iván Rodero, Rutgers Discovery Informatics Institute, The State University of New Jersey Lunes, 30 de Junio de 2014, 10:30, Seminario DIIS - Edificio Ada Byron

As computational- and data-enabled scientific applications target extreme scales, energy/power-related challenges are becoming dominating concerns. As a result, it is critical to explore emerging architectures such as ongoing many-core processors and deep memory hierarchies as well as applications from an energy perspective, and investigate associated overheads and tradeoffs. For example, energy/power-efficiency has to be addressed in combination with the quality of the solution, performance, resiliency, and other objectives. At the same time, the deluge of big data does not come only from scientific instruments and simulations, but also from sensor networks and other sources such as web crawling and social networks. Being able to transform this data into insights also presents energy/power-related challenges that need to be addressed in the context of different data analytics frameworks.

In this talk, I will explore these issues and will describe selected ongoing research efforts directed towards the scalability and efficiency of the next generation computing systems, including: in-situ data analytics for combustion simulations and co-processing at extreme scales; a framework for exascale co-design; energy/power-efficient data management for big data analytics on systems with deep memory hierarchies and accelerators; and other relevant efforts focused on understanding the cost of data movement and computation scheduling.

Iván Rodero is Assistant Research Professor in the department of the Electrical and Computer Engineering, at the Rutgers Discovery Informatics Institute and at the NSF Cloud and Autonomic Computing Center at Rutgers, The State University of New Jersey. He received an integrated BS and MS degree in Computer Engineering in 2004 and a PhD degree in 2009 from Technical University of Catalonia, Spain. Before joining Rutgers, he was permanent researcher at Barcelona Supercomputing Center. His research interests fall in the broad area of parallel and distributed computing and include high performance computing, data management, energy efficiency, and autonomic and cloud computing. Rodero’s current research activities are in the intersection of green computing and scientific (big) data management and analytics, and have been funded by the National Science Foundation and the U.S. Department of Energy. His research also comprises distributed computing systems, including cloud computing mechanisms and abstractions, federation of large-scale computing systems and cyber-security. He is senior member of IEEE and member of ACM and AAAS.

Ponente: Marius Kloetzer (Technical University of Iasi, Romania)

Jueves 8 de mayo de 2014, de 10:00 a 11:00 horas en el seminario del Departamento de Informática e Ingeniería de Sistemas, planta 1ª del Edificio Ada Byron

Abstract. The talk informally presents some techniques for solving problems with immediate applications to mobile robots. The common point of these techniques is to develop a discrete event system that models the environment and/or the robot movements. Based on the mission requirements and on the problem assumptions, we investigate different types of discrete-event models, ranging from automata/graphs to Petri nets. Feasible solutions on the finite state models are found by involving various tools, such as translations to typical optimization problems or resource allocation techniques. Most of the developed frameworks are applicable for a whole team of cooperating robots. The determined discrete solutions yield sequences of simple decisions and routines that should be executed by the mobile robots such that the given task is accomplished.

Speaker's short biography. M. Kloetzer received B.S. (2002) and M.Sc. (2003) degrees in Computer Science from the Technical University of Iasi, Romania, and Ph.D. (2008) in Systems Engineering from Boston University, Boston, MA, USA. He is currently an associate professor at the Technical University of Iasi, Romania. In May-June 2014 he is a guest researcher at the University of Zaragoza, within a mobility grant for guest researches at Campus Iberus. His research interests include planning algorithms for mobile robots based on discrete event systems and high-level specifications.

Impartido por Santiago Pérez, de la Universidad Tecnológica Nacional, Mendoza, Argentina el próximo miércoles 7 de mayo, de 11:00 a 12:00 h., en el Seminario del DIIS (Edificio Ada Byron)

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Color Management in Tone Reproduction.
Tania Pouli, Technicolor Research & Innovation.
Fecha: 12 de Diciembre de 2013 (jueves)
Hora: 12:00-13:00h
Lugar: Seminario DIIS - Edificio Ada Byron

Presenta: Pierre Yves Duquesnoy (Sales Engineer), InterSystems Iberia

Fecha: 28 de noviembre de 2013 (jueves)
Lugar: Aula A12, Edificio Ada Byron.
Hora: 12:00.
Duración prevista: 1h30min (se prevé un descanso de 10min a las 13:00).

Resumen:
-Introducción general a la tecnología de InterSystems.
-Funcionalidades de DeepSee y visión general de la tecnología Iknow.
-Demostración y casos de uso donde se verá cómo gracias a la utilización de DeepSee se nos facilita el análisis en tiempo real basado en información estructurada y no estructurada.

Duygu Dikicioglu, Department of Biochemistry & Cambridge Systems Biology Centre, University of Cambridge.
Fecha: 28 de Noviembre de 2013 (jueves)
Hora: 11:00-12:00h
Lugar: Seminario DIIS - Edificio Ada Byron

The biotechnology industry has grown in an unprecedented way in recent years owing to advances in fields like molecular modelling, systems biology, disease characterization, or pharmaceutical discovery. Systems biology aims to achieve a quantitative phenotypic description of a biological system. Advances in this particular field have been incorporated in fundamental and applied research. Efforts were focused mainly on the high-throughput analysis of cell parts and genome-scale metabolic modelling. The utilization of such approaches in biotechnology aims to achieve a systems level understanding of the microorganisms that are suitable models in biomedical research or are efficient cell factories for the production of high value commodities. Currently, vast amounts of data are being produced with the new experimental technologies, producing a bottleneck in their analysis. Improved bioinformatics tools and models are currently being developed and employed to capitalize the data on becoming accessible in biotechnology applications. This talk will focus on currently faced challenges in systems biology and several initiatives taken towards addressing several different problems in the topic.

Short-bio:
Duygu Dikicioglu is a research associate in the Department of Biochemistry and Cambridge Systems Biology Centre at Cambridge University. She joined Steve Oliver’s group in Cambridge University in 2012 after the completion of her doctoral degree at Bogazici University, Turkey. She holds PhD, MSc and BSc degrees in Chemical Engineering. Her Bachelor of Science and Master of Science degrees are also earned at Bogazici University. Dr Dikicioglu’s current research focuses on the development and use of systems biology modelling tools to reconstruct biological networks to be used in biotechnology applications from the genomic and post-genomic data.

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Miguel Aguilera, Dept. Infomática e Ing. Sistemas, Universidad de Zaragoza
Viernes, 22 de Noviembre de 2013, 12:00h, Aula A23 - Edificio Ada Byron

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Antonio López Peña, Computer Vision Center (CVC), Universitat Autònoma de Barcelona (UAB).
Miércoles, 6 de Noviembre de 2013, 12:00-13:00h, Seminario del DIIS - Edificio Ada Byron

Pedestrian detection is of paramount interest for many applications. Most promising detectors rely on classifiers trained with annotated samples. However, the annotation step is a human intensive and subjective task worth to be minimized. By using virtual worlds we can automatically obtain precise and rich annotations. Thus, we face the question: can a pedestrian appearance model learnt in realistic virtual worlds work successfully for pedestrian detection in real world images? Conducted experiments show that virtual-world based training can provide excellent testing accuracy in some real-world datasets, but it also appears the dataset shift problem in many others. Accordingly, during the last years we have explored different domain adaptation ideas for several state-of-the-art pedestrian detection approaches. In this talk, we review this work. Therefore, we will report adaptation results for different features as HOG, LBP, Haar and EOH, different pedestrian models as the Holistic-SVM/AdaBoost and Deformable Part-Based Models (DPM), as well as different strategies as supervised/unsupervised and batch/incremental. Overall, we will see that we have been able to actually adapt virtual and real worlds.

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El Master en Ingeniería de Sistemas e Informática organiza 4 seminarios sobre temas transversales de investigación, abiertos a todos los interesados:

Publish or Perish, Part 1: Why, When, Where, How much?
Juan D. Tardós, Dept. Informática e Ingeniería de Sistemas, Universidad de Zaragoza
Viernes, 8 de Noviembre de 2013, 10:00-12:00h, Aula A23 - Edificio Ada Byron

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El Master en Ingeniería de Sistemas e Informática organiza 4 seminarios sobre temas transversales de investigación, abiertos a todos los interesados:

Publish or Perish, Part 2: How?
Juan D. Tardós, Dept. Informática e Ingeniería de Sistemas, Universidad de Zaragoza
Viernes, 15 de Noviembre de 2013, 10:00-12:00h, Aula A23 - Edificio Ada Byron

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El Master en Ingeniería de Sistemas e Informática organiza 4 seminarios sobre temas transversales de investigación, abiertos a todos los interesados:

How to give a good research talk
Diego Gutiérrez, Dept. Informática e Ingeniería de Sistemas, Universidad de Zaragoza
Viernes, 22 de Noviembre de 2013, 10:00-11:30h, Aula A23 - Edificio Ada Byron

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