Research Seminars Archives >> | |
February |
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March, 1st 15:30 Room 55.309 |
Invited Research Seminar Cyber-physical resilient systems [slides] By Joaquin Garcia-Alfaro Abstract Cyber-physical systems consist of upgraded
infrastructures in which physical, network and software components
interact with each other, in a continuous and dynamic way. This
upgrade introduces new threats to the resilience of traditional
infrastructures. Known incidents include the sabotage of critical
energy facilities, disruption of hospitals and financial services, and
successful hacking of navigation systems. The problem is drawing a
great deal of attention, since it can have serious effects to
businesses, governments and society at large. During this talk, we
will focus on disruptive attacks hidden as unintentional component
malfunction. Such attacks must be handled by jointly addressing
protection at both cyber and physical domains. We will argue about the
necessity of novel solutions expanding results from research
communities including information security, control theory and
automation engineering. Application domains will include industrial
scenarios, autonomous vehicles, ambient intelligence and
Internet-of-Things.
Biography Full Professor at Institut Mines-Telecom (Télécom SudParis & Université Paris-Saclay). Double PhD degree in Computer Science from Université de Rennes and Universitat Autonoma de Barcelona (UAB). Research habilitation from Université Pierre et Marie-Curie (Paris Sorbonne VI). Advanced research accreditation from AQU Catalunya. He holds two engineering awards from UAB, a doctoral fellowship award and a graduate award from the la Caixa savings bank foundation. His research interests are situated in several domains of network and system security, with a special emphasis on areas related to the management of formal policies, analysis of threats, enforcement of mitigation and evaluation of countermeasures. |
March, 8 15:30 Room 55.410
| PhD Research Seminar The power of ordinary people in the Web - Studying quality and inequalities in User Generated Content By Diego Sáez-Trumper Host: Aurelio Ruiz Abstract Internet utopia came with the promise of democratize the access to knowledge, and allows to create, share and receive free information. But after 26 years of the releasing of the first Web Browser, how is people producing, receiving, and propagating information in the Internet? In this talk, I will introduce my work on the usage of massive data processing (a.k.a Data Science) for studying digital prints of human behavior, as well as discuss how Machine Learning and Artificial Intelligence can be used to empower people on the digital era, specially in the context of a free knowledge community, where we want to use those techniques not to replace, but to support human judgment. Biography Diego Sáez-Trumper is a Research Scientist at Wikimedia Foundation. Before, he was a post-doctoral researcher at Yahoo! Labs (Barcelona) and Research Scientist at Eurecat , Data Scientist at NTENT, and part time lecturer at UPF. He holds a diploma on Acoustic Engineering (Universidad Austral de Chile, 2006) and obtained his Phd in Information Technology from Universitat Pompeu Fabra (2013) under the supervision of Dr. Ricardo Baeza-Yates. During his PhD he interned at Qatar Computing Research Institute, University of Cambridge and Universidade Federal de Minas Gerais in Brazil. |
April, 6 12:30 h Room 24.009 | Invited Research Seminar Neural Mechanisms for Perceiving Object Motion During Self-Motion By Greg DeAngelis Abstract Many organisms have highly evolved neural circuits for processing visual motion cues. However, most laboratory studies of visual motion perception are performed under highly simplified conditions in which there is no self-motion such that object motion in the world directly maps onto retinal image motion. Under many natural conditions, however, we must judge object motion during self-motion, which greatly complicates the problem. Thus, the brain needs to parse the complex pattern of retinal image motion into components that correspond to object motion and self-motion. In addition, to compute object motion in world coordinates, the brain must estimate self-motion and factor it into computations of object motion. I will describe two studies that make important progress into understanding the visual and multi-sensory mechanisms by which the brain computes object motion during self-motion. I will show that neural activity in macaque area MT reflects the operation of a “flow parsing” mechanism (which has been previously established in human psychophysics) that discounts global optic flow resulting from self-motion. I will also show that neural activity in area VIP reflects flexible computation of object motion in either world- or head-centered coordinates. Together, these studies begin to reveal critical neural processes that are involved in perceiving object motion under more natural conditions in which self-motion also occurs. |
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