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Charlas de Leonardo Nunes : “Deep learning for image understanding” y “Real-time video understanding”

Lunes 19 de febrero 16:00hs, 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 : “Deep learning for image understanding” por Leonardo Nunes

Abstract :

In this lecture, a brief introduction to deep learning is performed using image understanding to motivate and illustrate possible applications. Initially, different image understanding tasks will be presented, then an introduction to deep neural network image classification is described, as well as some of the most popular layers and architecures for image classification. At the end, a more advanced architectures for object localization will be detailed as well as an example of how the architectures shown can be extended to different domains, such as audio classification.

Martes 20 de febrero 09:00hs, Sala de reuniones de ICT4V, Av Italia 6201 – Edificio Los Nogales

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República invita a la siguiente charla : “Real-time video understanding” por Leonardo Nunes

Abstract :

In this lecture the work being performed by Microsoft’s Advanced Technology Labs in Rio de Janeiro, Brazil will be described. In particular, recent advances in real-time video understanding for event detection on the cloud will be detailed, with the processing pipeline being presented as well as a top-down view of the whole system architecture running on the cloud. Finally, real world examples and use cases will be shown.


Leonardo Nunes is the lead researcher of Microsoft’s Advanced Technology Labs in Brazil where he investigates algorithms for real-time video understanding and event detection. He received his B.Sc. degree in electronics and computer engineering and his M.Sc. and D.Sc. degrees in electrical engineering, from the Federal University of Rio de Janeiro (UFRJ). Dr. Nunes research focus in signal processing and machine learning, with special focus in audio and video signals, and computationally efficient methods. Prior to working to Microsoft, he was a substitute professor at the Federal University of Rio de Janeiro and a principal scientist with Halliburton’s Applied Photonics Center. He received a top 10% award from the IEEE Workshop on Multimedia Signal Processing in 2009. Dr. Nunes is an IEEE member.


Conferencia de Jean-Michel Morel : “Cómo las imágenes determinan nuestra forma de interpretar el mundo en la era digital”

Martes 27 de febrero 19:00hs, Alianza Francesa,  Bvar Gral Artigas 1271

La embajada de Francia tiene el agrado de invitarle a la conferencia del matemático francés Jean-Michel Morel

Conferencia de Jean-Michel Morel : “Cómo las imágenes determinan nuestra forma de interpretar el mundo en la era digital”

A su vez el viernes 23 de febrero a las 18:00 horas, en la Sala Maggiolo del Edificio Central de la UdelaR (Av 18 de Julio 1824, planta alta), se hará entrega del Doctor Honoris Causa de la Universidad de la República, al reconocido académico francés

Charla de Gonzalo Mateos : “Network topology inference from spectral templates”

Martes 19 de diciembre 16:00hs, 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 : “Network topology inference from spectral templates” por Gonzalo Mateos

Abstract :

Advancing a holistic theory of networks necessitates fundamental breakthroughs in modeling, identification, and controllability of distributed network processes – often conceptualized as signals defined on the vertices of a graph. Under the assumption that the signal properties are related to the topology of the graph where they are supported, the goal of graph signal processing (GSP) is to develop algorithms that fruitfully leverage this relational structure, and can make inferences about these relationships when they are only partially observed.

After presenting the fundamentals of GSP, we leverage these ideas to address the problem of network topology inference from graph signal observations. It is assumed that the unknown graph encodes direct relationships between signal elements, which we aim to recover from observable indirect relationships generated by a diffusion process on the graph. The innovative approach is to consider the Graph Fourier Transform of the acquired signals associated with an arbitrary graph and, among all the feasible networks, search for one that endows the resulting transforms with target spectral properties and the sought graph with appealing physical characteristics such as sparsity. Leveraging results from GSP and sparse recovery, efficient topology inference algorithms with theoretical guarantees are put forth. Numerical tests corroborate de effectiveness of the proposed algorithms when used to recover social and structural brain networks from synthetically-generated signals, as well as to identify the structural properties of proteins.

Gonzalo Mateos earned the B.Sc. degree from Universidad de la Republica, Uruguay, in 2005, and the M.Sc. and Ph.D. degrees from the University of Minnesota, Twin Cities, in 2009 and 2011, all in electrical engineering. He joined the University of Rochester, Rochester, NY, in 2014, where he is currently an Assistant Professor with the Department of Electrical and Computer Engineering, as well as a member of the Goergen Institute for Data Science. During the 2013
academic year, he was a visiting scholar with the Computer Science Department at Carnegie Mellon University. From 2004 to 2006, he worked as a Systems Engineer at Asea Brown Boveri (ABB), Uruguay. His research interests lie in the areas of statistical learning from Big Data, network science, decentralized optimization, and graph signal processing, with applications in dynamic network health monitoring, social, power grid, and Big Data analytics. Dr. Mateos received the 2017 IEEE Signal Processing Society Young Author Best Paper Award (as senior co-author) as well as the Best Student Paper Award at the 2012 IEEE Workshop on Signal Processing Advances in Wireless Communications
(SPAWC) and the 2016 IEEE Statistical Signal Processing (SSP) Workshop (as senior co-author). His doctoral work has been recognized with the 2013 University of Minnesota’s Best Dissertation Award (Honorable Mention) across all Physical Sciences and Engineering areas.


Charla de Mariano Tepper : “Clustering is semidefinitely not that hard”

Lunes 20 de noviembre 16:00hs, Sala de Seminarios del Instituto de Física (7o piso) – 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 : “Clustering is semidefinitely not that hard” por Mariano Tepper

Abstract :
In recent years, semidefinite programs (SDP) have been the subject of
interesting research in the field of clustering. In many cases, these
convex programs deliver the same answers as non-convex alternatives
and come with a guarantee of optimality. In this talk, I will argue
that SDP-KM, a popular semidefinite relaxation of K-means, can learn
manifolds present in the data, something not possible with the
original K-means formulation. To build an intuitive understanding of
SDP-KM’s manifold learning capabilities, I will present a theoretical
analysis on an idealized dataset. Additionally, SDP-KM even segregates
linearly non-separable manifolds. As generic SDP solvers are slow on
large datasets, I will also discuss the suitability of efficient
algorithms to SDP-KM. These features render SDP-KM a versatile and
interesting tool for manifold learning while remaining amenable to
theoretical analysis.

Bio :
Mariano Tepper is currently a member of the neuroscience group at the
Center for Computational Biology, Flatiron Institute. His research
focuses on image processing, computer vision, pattern recognition, and
machine learning. Previously, he was a research scientist at Duke
University. Prior to working at Duke, he was postdoctoral research
associate at the University of Minnesota. Tepper holds a Ph.D. and
licentiate degree in computer science from the Universidad de Buenos
Aires in Argentina and an M.S. in applied mathematics from the École
Normale Supérieure de Cachan in France.

Seminario de materiales piezoeléctricos por Lorena Pardo

Miércoles 20 de setiembre 11:00hs, Salón Beige (725) – Facultad de Ingeniería, J. Herrera y Reissig 565

En el marco de un proyecto de investigación conjunto con CSIC-España que lidera localmente Nicolás Pérez, esta semana nos visita Lorena Pardo, que es investigadora de materiales piezoelecticos en el CSIC de Madrid.

 Este miércoles 20 de setiembre, a las 11:00 horas, dará una charla en el Salón Beige (725).

 A continuación el resumen.

Están todos invitados¡!

 Saludos cordiales,

Pablo Monzon

Cerámicas piezoeléctricas : Principios y tendencias de unos materiales omnipresentes

Los agregados policristalinos de materiales inorgánicos con una  polarizacion dieléctrica bi-estable (ferroléctricos) vienen siendo  conocidos como “cerámicas piezoeléctricas” desde la década de 1950 y  constituyen un área científico tecnológica muy madura. Estos  materiales tienen aplicaciones en sensores, actuadores y transductores  electromecánicos para la generación de ultrasonidos, entre otras, en  las aéreas de salud, industria, comunicaciones y transporte. En estas aplicaciones se utiliza principalmente el titanato-circonato de plomo  (PZT), cuyo contenido en óxido de plomo es próximo al 60%.  En la  última década se ha avanzado notablemente en los métodos de caracterización para la simulación numérica de los materiales en el  diseño de nuevos dispositivos y existe un esfuerzo internacional en el  desarrollo de nuevos materiales ecólogicos, con composiciones libres  de plomo, conocidos como “lead-free”.


Conferencia de Daniel Musciano : “Diseño profesional de circuitos integrados para el mercado global”

Jueves 7 de setiembre 10:00hs, Salón 301 (ex salón 101) – Facultad de Ingeniería, J. Herrera y Reissig 565

El Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería de la Universidad de la República y el Capítulo Uruguay de la IEEE Circuits & Systems Society invitan a la siguiente conferencia : “Diseño profesional de circuitos integrados para el mercado global” por Daniel Musciano (IC Layout Engineering Manager at Allegro Microsystems Argentina)

Extracto : Project leader for integrated analog and mixed signal circuits layout.
More than 16 years of experience in integrated circuits layout and management of layout engineering teams.
More than 250 products released to market between parts personally designed or developed by supervised teams since 2001.
Management tasks of integrated circuits layout (physical design) projects. Includes scheduling, supervision and control tasks for projects being developed by a 26 layout engineers division supporting all Allegro’s Business Units.
Specialties : Hall Effect (Planar and Vertical) sensors. GMR sensors. Power Management devices.
High experience on Analog and Mixed Signal circuits and advanced analog layout techniques.
Broad experience on different IC processes.



Charla de Parag Chatterjee : “Internet de las cosas aplicado al cuidado de la salud e inteligencia artificial”

Viernes 16 de junio, hora 18:00, Salón B01 del Edificio Polifuncional “Jose Luis Massera”, Campus Facultad de Ingeniería-UdelaR

Los invitamos a la charla del Profesor Parag Chatterjee, experto en inteligencia artificial procedente de la India quien trabaja en cooperación con Machine Intelligence Research Labs (MIR Labs) y Global Network for Innovation and Research Excellence.
La charla se llevará a cabo en el Salón B01 del Edificio Polifuncional “Jose Luis Massera”, el viernes 16/06 a las 18:00 horas dentro del curso de Taller 1 de la Licenciatura en Ingeniería Biológica.

Ver link

Charla de Christophe Raffalli : “Patoline”

Martes 6 de junio, hora 14:30, Salón de actos, Facultad de Ingeniería-UdelaR

Está de visita en Facultad de Ingeniería y, particularmente, en el IMERL, el profesor Christophe Raffalli, de la Université de Savoie, Francia. Raffalli trabaja fundamentalmente en lógica, pero ha incursionado también en geometría algebraica, informática teórica y es desarrollador de software. En particular es desarrollador de Patoline, un software que tiene aplicación a la didáctica de la matemática.

Patoline es también fácilmente aplicable para la enseñanza de otras disciplinas, como la física o la química, por ejemplo. Raffalli ofrecerá una charla sobre Patoline el martes 6 de junio a las 14:30 horas en el Salón de actos de Facultad de Ingeniería (piso 1 cuerpo central).

Patoline is a typographic system completely independent from LaTeX and written by many authors (principally P.E. Meunier, R. Lepigre, T. Hirschowitz and myself).

One of the most interesting feature of Patoline is its use to write interactive presentations and/or documents. I have used it for four years to teach functional programming, computer graphics (include some element of Geometry) and compilation.

The key feature of Patoline is that the student can interact with the presentation in a web browser, during the course. For instance, each student can animate/rotate the same geometric figure. Moreover, the presentation may contain questions to the students, with more freedom in principle than tools like moodle.

Patoline uses a syntax similar to LaTeX and OCaml to program new macros. For interactive presentation, we are currently giving access to the common feature using only the LaTeX like syntax, which would
make it easy to use. For more complex feature like geometric figure, OCaml syntax seems more suited, as a dedicated syntax requires a complex language to express any figure (like tikz, which is a huge

The talk will present these aspect of Patoline and the presentation will be interactive. So you can come with some wifi device (laptop, tablet or even cellphones).

Charla de Tony Wasserman : “OSSpal : Finding and Evaluating Open Source Software”

Lunes 29 de mayo, hora 18:00, Salón Azul (5o piso), Facultad de Ingeniería-UdelaR

Estimados, es un gusto invitarlos a la charla “OSSpal : Finding and Evaluating Open Source Software” que dará el profesor Anthony I. Wasserman de la Universidad Carnegie Mellon, Silicon Valley, este próximo lunes 29 de mayo a las 18:00 hs en el salón Azul, 5to. Piso, Edificio Facultad de Ingeniería, UdelaR
El profesor Wasserman es Director ejecutivo del Center for Open Source Investigation (COSI) de dicha Universidad, el cual tiene como foco la evalucación y adopciòn de software open source, participando activamente de la comunidad de investigación open source. Fue Chair General de la International Conference on Open Source Systems (OSS), integró la Junta Directiva de la Open Source Initiative (OSI) en el período 2010-16, y la Junta de Asesores de Open Source para América.
Está actualmente participando en Buenos Aires de la 13th International Conference on Open Source Systems (OSS 2017) evento que se realiza conjuntamente con la 39th International Conference on Software Engineering (ICSE 2017), en la cual presenta el artículo en el que se basa esta charla.
El evento es con asistencia libre previa inscripción en https://www.fing.edu.uy/node/30105
Datos de la charla :
OSSpal : Finding and Evaluating Open Source Software
Anthony I. Wasserman
This talk presents the OSSpal project, which is aimed at helping companies, government agencies, and other organizations find high quality free and open source software (FOSS) that meets their needs. OSSpal is a successor to the Business Readiness Rating (BRR), combining quantitative and qualitative evaluation measures for software in various categories. Instead of a purely numeric calculated score OSSpal adds curation of high-quality FOSS projects and individual user reviews of these criteria. Unlike the BRR project, for which there was no automated support, OSSpal has an operational, publicly available website where users may search by project name or category, and enter ratings and reviews for projects.
Professor Of Software Management Practice at Carnegie Mellon University, Silicon Valley, San Francisco, California

Charla de José Nuno Oliveira : “Computer-aided musicology-approaches and opportunities”

Viernes 24 de Febrero, hora 14:30, Salón 726 (7o piso), Facultad de Ingeniería-UdelaR
Como parte de su estadía José Nuno Oliveira dictará una charla titulada : “Computer-aided musicology – approaches and opportunities”
Se adjunta resumen y bio :
Resumen :
In 2012 researchers of INESC TEC and the University of Minho launched WikiScore (http://www.wiki-score.org/), a web-based platform for cooperative transcription of large-scale music scores, with the main aim of recovering lost music heritage. By using an open-source notation easy to understand and parse, Wikiscore and other similar repositories, notably Mutopia, create new opportunities for music analysis and computer-aided musicology. Not only can one resort to data science techniques but also to “algebraic” approaches based on music combinators and their properties. This talk will address these topics and how they are introduced to students of the “Computing for musicology” 2nd-year course of the music degree at Minho.
Bio :

José Nuno Oliveira (http://www4.di.uminho.pt/~jno/) es Profesor Titular en el Departamento de Informática de la Universidade do Minho, Portugal. Oliveira posee un doctorado en Ciencia de la Computación por la Universidad de Manchester, Reino Unido. Investiga en temas de métodos formales, algebra y cálculo de programas y programación funcional. Desde hace años dicta un curso de Informática para Musicología de la Licenciatura en Música de la Universidade do Minho en el cual se ven conceptos de programación funcional y su aplicación a la música.