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Charla de Javier Ortega-García : “Autenticación biométrica conductual : Logros, retos, y experiencias en el BiDALab”

Jueves 6 de diciembre 09:00hs, Laboratorio de Software, IIE

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla :  “Autenticación biométrica conductual : Logros, retos, y experiencias en el BiDALab” por Javier Ortega-García

Charlas de Maysam Ghovanloo : “Efficient power and wideband data transmission in near field” e “Implantable and wearable microelectronic devices to improve quality of life for people with disabilities”

Jueves 22 de noviembre 08:30hs, Salón de Seminarios, IIE

Jueves 22 de noviembre 17:30hs, Salón Verde (piso 7, salón 720) – Facultad de Ingeniería, Julio Herrera y Reissig 565

Como parte de su estadía Maysam Ghovanloo dictará dos charlas tituladas  “Efficient power and wideband data transmission in near field” e “Implantable and wearable microelectronic devices to improve quality of life for people with disabilities”

Se adjuntan resúmenes :

Efficient power and wideband data transmission in near field

Implantable and wearable microelectronic devices to improve quality of life for people with disabilities

 

 

Charla de Eduardo Boemo : “Medición de temperatura en cualquier punto del die de una FPGA”

Miércoles 14 de noviembre 17:30hs, Salón de Seminarios, IIE

Como parte de su estadía Eduardo Boemo dictará una charla titulada  “Medición de temperatura en cualquier punto del die de una FPGA ”,

Se adjunta resumen :
Medición de temperatura en cualquier punto del die de una FPGA
Eduardo Boemo
Universidad Autonóma de Madrid
Noviembre 2018

En este seminario se presentan algunas ideas sobre medición de temperatura de juntura en dispositivos programables tipo FPGA. Aunque la temperatura es una magnitud analógica, se consigue medirla en la FPGA únicamente circuitos componentes digitales. La idea principal es insertar un oscilador en anillo que puede incluir o no bloques auxiliares (básicamente contador y base de tiempo). Sus principales ventajas son sencillez, facilidad de calibración con instrumental de bajo coste, compatibilidad para operar dinámicamente, realización de mediciones en condiciones reales de operación (sin necesidad de remover el encapsulado), posibilidad de medir en un punto del die o incluso armar un mapa térmico para cuantificar las cualidades de un determinado place-route en FPGA.

Charla de Mark Halpin : Sobre las actividades de investigación tendientes al desarrollo de nuevos estándares internacionales para la caracterización de las fluctuaciones de tensión y del flicker

Miércoles 7 de noviembre 15:00hs, Salón Marrón (piso 7, salón 705) – Facultad de Ingeniería, J. Herrera y Reissig 565

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : Sobre las actividades de investigación tendientes al desarrollo de nuevos estándares internacionales para la caracterización de las fluctuaciones de tensión y del flicker por Mark Halpin

Bio :

Steve Mark Halpin, PhD :

El Dr. Mark Halpin recibió su título de Doctor de la Universidad de Auburn, Alabama en 1993. Ha trabajado en enseñanza e investigación en el ámbito universitario por más de 20 años. Su principal área de interés es la Calidad de la Energía y la Compatibilidad Electromagnética en Sistemas Eléctricos de Potencia. Tiene activa participación en numerosas organizaciones que desarrollan normas y guías técnicas como IEEE, IEC y CIGRE. Ha dirigido el desarrollo de estándares referidos a armónicas en IEEE (IEEE 519 por ejemplo) y actualmente se desempeña como Coordinador del Grupo de Trabajo 2 del Subcomité 77A, Comité Técnico 77 de la IEC, grupo responsable del desarrollo de normas y reportes técnicos IEC referidos a fluctuaciones de tensión y flicker. Además, está involucrado en múltiples actividades de desarrollo de normas técnicas sobre Calidad de Energía aplicadas a la integración de fuentes de generación renovables no convencionales.
Es autor de más de 250 trabajos técnicos publicados revistas y en congresos, dirigió múltiples proyectos de investigación y tiene además experiencia profesional como ingeniero en el sector industrial. Es miembro de la IEEE y recibió el Premio IEEE Charles Proteus Steinmetz por sus contribuciones en la disciplina Calidad de Energía. Actualmente es el Profesor Distinguido de la Alabama Power Company en el Departamento de Ingeniería Eléctrica e Informática de la Universidad de Auburn.

Clase abierta de Felipe Gabaldón : “El hombre elástico – Un recorrido a través de modelos computacionales 3D y 1D aplicado a geometrías arteriales”

Jueves 1° de noviembre 14:00 a 17:00hs, Salón de Seminarios del IIE, Facultad de Ingeniería, J. Herrera y Reissig 565

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente clase abierta : “El hombre elástico – Un recorrido a través de modelos computacionales 3D y 1D aplicado a geometrías arteriales” por Felipe Gabaldón

Descripción :

“Durante la clase abierta, hablaremos sobre la pérdida de elasticidad de los tejidos y órganos. Esta propiedad esencial del cuerpo es ignorada en gran medida por el público en general. Sin embargo, su disminución en órganos como los pulmones, la vejiga o el corazón, por nombrar algunos, es la causa de trastornos bien conocidos: enfisema pulmonar, problemas urinarios e insuficiencia cardíaca. El cuerpo de los seres humanos, y los animales, ha sido construido por y para el movimiento. Desde la edad de 30 años, las fibras elásticas que son estresadas permanentemente por muchos órganos no se renuevan. El envejecimiento no es el único agente responsable de este estado de cosas. Nuestra herencia genética también puede inducir debilidad en la elasticidad y viscoelasticidad. Finalmente, conocemos los factores “oxidantes” que aceleran la degradación de los tejidos elásticos, como el fumar, la exposición a los rayos UV, la contaminación y la mala nutrición que conduce a la sobreabundancia de azúcares en el cuerpo, un fenómeno denominado “caramelización” del cuerpo.”

Conferencia de Vincenzo Piuri : “Ambient intelligence : Convergence or artificial intelligence, machine learning, biometrics, cloud computing, internet-of-things”

Jueves 12 de julio 14:30hs, Salón Gris (piso 7, salón 727) – Facultad de Ingeniería, Julio Herrera y Reissig 565

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : “Ambient intelligence: convergence or artificial intelligence, machine learning, biometrics, cloud computing, internet-of-things” por Vincenzo Piuri

Abstract :

Various technologies are nowadays converging to support effective infrastructures for ambient intelligence and smart living. Artificial intelligence can provide flexible techniques for designing and implementing monitoring and control systems, which can be configured from behavioral examples or by mimicking approximate reasoning processes to achieve adaptable systems. Machine learning can be effective in extracting knowledge form data and learn the actual and desired behaviors and needs of individuals as well as the environment to support informed decisions in managing the environment itself and its adaptation to the people’s needs. Biometrics can help in identifying individuals or groups: their profiles can be used for adjusting the behavior of the environment. Machine learning can be exploited for dynamically learning the preferences and needs of individuals and enrich/update the profile associated either to such individual or to the group. Cloud computing environments will be instrumental in allowing for world-wide availability of knowledge about the preferences and needs of individuals as well as services for ambient intelligence to build applications easily. This talk will analyze the opportunities offered by these technologies to support the realization of adaptable operations and intelligent services for smart living, and smart working in an ambient intelligent infrastructures. Some examples will be briefly analyzed in domotics, entertainment, commerce, transportation, augmented reality, health care, industrial manufacturing (with examples to wood industry, mechanical industry and photovoltaics), and biometrics for e-government.

Bio :

Vincenzo Piuri, received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is Full Professor in computer engineering at the Università degli Studi di Milano since 2000. He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA. His main research interests are: intelligent systems, artificial intelligence, signal and image processing, machine learning, pattern analysis and recognition, biometrics, intelligent measurement systems, industrial applications, cloud computing.  He has more than 400 papers in international journals, conferences, and books. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He has been IEEE  Technical Activities VP (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council. He is Editor-in-Chief of the IEEE Systems Journal (2013-19), and Associate Editor of the IEEE Trans. on Computers and the IEEE Trans. on Cloud Computing, and has been Associate Editor of the IEEE Trans. on Neural Networks and the IEEE Trans. on Instrumentation and Measurement. He received the IEEE Instrumentation and Measurement Society Technical Award (2002). He is Honorary Professor at Obuda University, Budapest, Hungary, Guangdong University of Petrochemical Technology, China, Northeastern University, China, Muroran Institute of Technology, Japan, and the Amity University, India.

“Ambient intelligence: convergence or artificial intelligence, machine learning, biometrics, cloud computing, internet-of-things”

Raúl Tempone – Difusión de actividades de investigación

Fecha : Martes 22/05/18

Horario :  de 12 a 13:30hs

Lugar :  Salón Azul (piso 5, salón 502) – Facultad de Ingeniería, J. Herrera y Reissig 565

Abstract :

In this talk, we will present several results produced at the KAUST Strategic Research Initiative for Uncertainty Quantification. These include, among others, contributions on Multi-level and Multi-index sampling techniques that address both direct and inverse problems. We may also discuss efficient methods for Bayesian Inverse Problems and Optimal Experimental Design.

Bio :

Raúl Tempone graduated as an industrial engineer in 1995 from the University of the Republic, Montevideo, Uruguay. After graduation, he worked on the optimal dispatch of electricity for the Uruguayan system using techniques from nonlinear stochastic programming and visited the Royal Institute of Technology (KTH) in Stockholm, Sweden, to study numerical analysis. He obtained a Master in Engineering Mathematics in 1999 (inverse problems for incompressible flows, supervised by Jesper Oppelstrup, KTH) and a Ph.D. in Numerical Analysis in 2002 (a posteriori error estimation and control for stochastic differential equations, supervised by Anders Szepessy, KTH). He later moved to ICES, UT Austin, to work as a postdoctoral fellow from 2003 until 2005 in the area of numerical methods for PDEs with random coefficients (supervised by Ivo Babuska and Mary Wheeler). In 2005 he became an assistant professor (joint appointment) with the School of Computational Sciences and the Department of Mathematics at Florida State University, Tallahassee. In 2007 he was awarded the first Dahlquist fellowship by KTH and COMSOL for his contributions to the field of numerical approximation of deterministic and stochastic differential equations. In 2009 he joined King Abdullah University of Science and Technology as Associate Professor (founding faculty) and was promoted in 2015 to the rank of Full Professor in Applied Mathematics. Since 2012, he has been directing the KAUST Strategic Research Center for Uncertainty Quantification. He has received numerous accolades from his peers: he is a highly cited author, is regularly invited as keynote speaker at conferences from several distinct areas and holds honorary appointments as well. For instance, he was elected by Society for Industrial and Applied Mathematics (SIAM) members as the Technical Director of the SIAM Uncertainty Quantification group, a position he held during the term 2013-2014.

Raul Fidel Tempone – Alexander von Humboldt-Professorship 2018 (EN)

Charla de Nori Jacoby : “Perceptual priors on musical rhythm revealed cross-culturally by iterated reproduction”

Martes 8 de mayo 18:00hs, Salón Azul (piso 5, salón 502) – Facultad de Ingeniería, J. Herrera y Reissig 565

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : “Perceptual priors on musical rhythm revealed cross-culturally by iterated reproduction” por Nori Jacoby

Abstract :

Probability distributions over external states (priors) are essential to the interpretation of sensory signals. In many areas of perception and cognition, humans appear to combine current observations with internal beliefs about the environment (the prior) in a process approximating statistical inference. Priors for cultural artifacts such as music and language remain largely uncharacterized, but critically constrain cultural transmission, because only those signals with high probability under the prior can be reliably reproduced and communicated. We developed a method to estimate priors for rhythm via iterated reproduction of random temporal sequences. Listeners were asked to reproduce random “seed” rhythms; their reproductions were fed back as the stimulus, and over time became dominated by internal biases, such that the prior could be estimated by applying the procedure multiple times.
We measured priors on simple rhythms in residents of the United States as well as members of the Tsimané, an Amazonian society with very limited exposure to Western music. We found that priors in US participants showed peaks at rhythms whose time intervals were related by small integer ratios. The modes of the prior were limited to small integer rhythms prevalent in Western music. Priors in Tsimané participants also exhibited modes at integer ratios, but were otherwise qualitatively different from priors in US participants, in ways that are consistent with the structures prevalent in their music. Our results are consistent with the claim that rhythm perception exhibits universal cognitive constraints favoring integer ratios, but indicate that any such constraints are strongly modulated by experience.
I will also present recent results from Botswana, Mali, Brazil, Bolivia, Bulgaria, the United States, South Korea, and Uruguay that suggest that musical exposure, far more than language or geography, profoundly affects the structure of rhythmic perceptual priors. Our method holds promise for characterizing priors in a range of other domains in both audition and vision, including spatial memory, phonetics, and melody.

Bio :

I’m interested in exploring the role of culture in auditory perception, using iterated learning alongside classical psychophysical methods to characterize perceptual biases in music and speech rhythms in populations around the world. My previous work focused on the mathematical modeling of sensorimotor synchronization in the form of tapping experiments as well as the application of machine-learning techniques to model aspects of musical syntax, including tonal harmony, birdsong, and the perception of musical form. I am currently a Presidential Scholar In Society And Neuroscience at Columbia University. Previously, I was a postdoc at the McDermott Computational Audition Lab at MIT, and a visiting postdoctoral researcher in Tom Griffiths’s Computational Cognitive Science Lab at Berkeley. I completed my Ph.D. at the Edmond and Lily Safra Center for Brain Sciences (ELSC) at the Hebrew University of Jerusalem under the supervision of Naftali Tishby and Merav Ahissar, and hold a M.A. in mathematics from the same institution. My research has been published in journals including Current Biology, Nature, Nature Scientific Reports, Philosophical Transactions B, Journal of Neuroscience, Journal of Vision, and Psychonomic Bulletin and Review.

 

 

Métodos automáticos para la interpretación de datos biomédicos

En el marco del curso Modelado y Agrupamiento de Datos en Alta Dimensión a dictarse a partir del 7 de mayo de 2018 por el Profesor René Vidal (Johns Hopkins University) se dictará la siguiente charla de divulgación:

Métodos automáticos para la interpretación de datos biomédicos

Jueves 10 de mayo, 18hs, salón 102 (junto al Instituto de Ingeniería Eléctrica) Facultad de Ingeniería

En años recientes hemos presenciado una explosión en la disponibilidad de datos biomédicos de múltiples modalidades y escalas. Sin embargo, la falta de métodos automáticos para interpretar tales datos representa un impedimento mayor a la hora de comprender los mecanismos, el diagnóstico y el tratamiento de enfermedades humanas. En esta charla, haré una reseña de nuestro trabajo reciente en el desarrollo de métodos automáticos para la interpretación de datos biomédicos de múltiples modalidades y escalas. A nivel celular, presentaré un método de factorización de matrices estructuradas para segmentar neuronas y encontrar sus patrones de disparo en videos de imagenología de calcio y un método de análisis de formas para clasificar cardiomiocitos embrionales en videos de imagenología óptica. A nivel de órganos, presentaré un marco Riemanniano para el procesamiento de imágenes de resonancia magnética por difusión (dMRI) del cerebro, y un método estocástico de seguimiento para detectar fibras de Purkinje en MRI cardíacos. A nivel de pacientes, presentaré sistemas dinámicos y métodos de aprendizaje automático para reconocer gestos quirúrgicos y evaluar las habilidades de un cirujano a partir de movimientos registrados de un robot médico y filmaciones.



       

Charla de Luiz Naveda : “Experiments, representation and complexity in cross-cultural studies involving music and dance”

Jueves 5 de abril 17:00hs, Salón Azul (piso 5, salón 502) – Facultad de Ingeniería, J. Herrera y Reissig 565

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : “Experiments, representation and complexity in cross-cultural studies involving music and dance” por Luiz Naveda

Abstract :

The observation of recurring phenomena is a fundamental scientific practice that allows scientists to uncover mechanisms hidden in the physical, biological, cultural and even artistic contexts. However, the scientific discourse imposes limitations that hide certain types of phenomena and knowledge, such as the recurrent parallelism between music and dance in the cultures. In this exposition, we describe attempts to build datasets, represent and analyze music and movement across different musical cultures. We explore scientific approaches that offer less restrictive conditions for scientific observation and, consequently, result in more complexity and challenges in the representation of the knowledge. These approaches were applied to cross-cultural and gender studies involving Latin American dance and music cultures.

Bio :

Luiz Naveda is a professor at the State University of Minas Gerais (Brazil). He holds a technical degree in electronics (1994) a bachelor in music (UEMG, 1999) and a master in music performance (UFMG, 2002). During his doctoral and post-doctoral studies in Musicology at Ghent university (2011, promoter: Marc Leman) he worked on the connections between music and dance in the Afro-Brazilian Samba. In the last years, he has published on a range of topics that include musical gesture, dance studies, timing and microtiming, music education, computer music, interactive systems, among others. Luiz also works as an independent artist, in consulting and development of software and hardware for interactive and musical applications, art installations and music research. More information at http://naveda.info