Research Seminars Archives >> 

February

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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