Fwd: Convite - palestra prof. Ali H. Sayed
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Antonio Mauro Saraiva
Nov 12, 2019, 9:23:47 AM11/12/19
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FYI
Antonio Mauro Saraiva
Full Professor, Universidade de São Paulo (USP), Escola Politécnica (EP)
Full Professor, Universidade de São Paulo (USP), Escola Politécnica (EP)
Advisor, Research Provost Office
P
resident of the Research Committee, Instituto de Estudos Avançados (IEA)
Coordinator, Research Center on Biodiversity and Computing (BioComp)
Laboratory of Agricultural Automation (LAA)
tel. +55-11-3091 1813
sar...@usp.br www.biocomp.org.br www.laa.pcs.usp.br
Laboratory of Agricultural Automation (LAA)
tel. +55-11-3091 1813
sar...@usp.br www.biocomp.org.br www.laa.pcs.usp.br
---------- Forwarded message ---------
De: posgrad.eletrica.poli USP <posgrad.el...@usp.br>
Date: seg., 11 de nov. de 2019 às 14:22
Subject: Convite - palestra prof. Ali H. Sayed
To:
De: posgrad.eletrica.poli USP <posgrad.el...@usp.br>
Date: seg., 11 de nov. de 2019 às 14:22
Subject: Convite - palestra prof. Ali H. Sayed
To:
Caros colegas e alunos,
Temos o prazer de convidar todos para a palestra (ver abaixo) do Prof.
Ali H. Sayed, antigo aluno da EPUSP (graduação e mestrado) e atual
Diretor da EPFL, a ser realizada no dia 28/11/2019, às 14h, na sala
C2-58 do Prédio de Eng. Elétrica da EPUSP.
Contando com a sua presença,
Vítor H. Nascimento.
Tema: Diffusion of Information over Graphs
Information flow over graphs is a topic of significant relevance,
especially in light of the proliferation of online platforms that
facilitate communication and the exchange of opinions among members. In
order to promote the diffusion of reliable information, it is important
to understand which aspects of the graph topology favor the spread of
misinformation, and which strategies can be used to enable belief
control or sow confusion. This presentation provides an overview of
research results on distributed information flow over weak graphs where
the flow of information is asymmetric. This scenario is common over
social networks. For example, it is not unusual for some influential
agents (such as celebrities) to have a large number of followers, while
the influential agent may not be following most of them. A similar
effect arises when social networks operate in the presence of stubborn
agents, which insist on their opinion regardless of the evidence
provided by observations or by neighboring agents. It turns out that
weak graphs influence the evolution of the agents’ beliefs in an
interesting manner and facilitate the spread of false information over
networks. While agents are able to learn the global truth from
interactions over strong graphs, where there is a path between any two
agents, anomalies arise over weak graphs where certain agents can
control the statistical beliefs of other agents. This phenomenon permits
the flow of misinformation and can be used to generate confusion. In
particular, (a) agents in a graph can be made to arrive at incorrect
inference decisions (a form of belief control); (b) they can be made to
disagree among themselves (a form of social discord); and (c) and they
can be made to continually change their beliefs about the truth (a form
of confused learning). For example, some agents or sensors may be driven
to believe erroneously that “it is raining” even though they may be
observing “sunny conditions.” This presentation examines these patterns
of behavior over multi-agent networks and illustrates the results with
examples and simulations.
Bio: Ali H. Sayed is Dean of Engineering at EPFL, Switzerland, where he
also leads the Adaptive Systems Laboratory (https://asl.epfl.ch/). He
served before as distinguished professor and chairman of electrical
engineering at UCLA. He is a member of the US National Academy of
Engineering and is recognized as a Highly-Cited Researcher. He is also
President of the IEEE Signal Processing Society. An author of over 530
scholarly publications and six books, his research involves several
areas including adaptation and learning theories, data and network
sciences, and multi-agent systems. Dr. Sayed's work has been recognized
with several major awards.
Temos o prazer de convidar todos para a palestra (ver abaixo) do Prof.
Ali H. Sayed, antigo aluno da EPUSP (graduação e mestrado) e atual
Diretor da EPFL, a ser realizada no dia 28/11/2019, às 14h, na sala
C2-58 do Prédio de Eng. Elétrica da EPUSP.
Contando com a sua presença,
Vítor H. Nascimento.
Tema: Diffusion of Information over Graphs
Information flow over graphs is a topic of significant relevance,
especially in light of the proliferation of online platforms that
facilitate communication and the exchange of opinions among members. In
order to promote the diffusion of reliable information, it is important
to understand which aspects of the graph topology favor the spread of
misinformation, and which strategies can be used to enable belief
control or sow confusion. This presentation provides an overview of
research results on distributed information flow over weak graphs where
the flow of information is asymmetric. This scenario is common over
social networks. For example, it is not unusual for some influential
agents (such as celebrities) to have a large number of followers, while
the influential agent may not be following most of them. A similar
effect arises when social networks operate in the presence of stubborn
agents, which insist on their opinion regardless of the evidence
provided by observations or by neighboring agents. It turns out that
weak graphs influence the evolution of the agents’ beliefs in an
interesting manner and facilitate the spread of false information over
networks. While agents are able to learn the global truth from
interactions over strong graphs, where there is a path between any two
agents, anomalies arise over weak graphs where certain agents can
control the statistical beliefs of other agents. This phenomenon permits
the flow of misinformation and can be used to generate confusion. In
particular, (a) agents in a graph can be made to arrive at incorrect
inference decisions (a form of belief control); (b) they can be made to
disagree among themselves (a form of social discord); and (c) and they
can be made to continually change their beliefs about the truth (a form
of confused learning). For example, some agents or sensors may be driven
to believe erroneously that “it is raining” even though they may be
observing “sunny conditions.” This presentation examines these patterns
of behavior over multi-agent networks and illustrates the results with
examples and simulations.
Bio: Ali H. Sayed is Dean of Engineering at EPFL, Switzerland, where he
also leads the Adaptive Systems Laboratory (https://asl.epfl.ch/). He
served before as distinguished professor and chairman of electrical
engineering at UCLA. He is a member of the US National Academy of
Engineering and is recognized as a Highly-Cited Researcher. He is also
President of the IEEE Signal Processing Society. An author of over 530
scholarly publications and six books, his research involves several
areas including adaptation and learning theories, data and network
sciences, and multi-agent systems. Dr. Sayed's work has been recognized
with several major awards.
jorge pinaya
Nov 28, 2019, 7:24:38 PM11/28/19
to epus...@googlegroups.com
Prof. Dr. Antonio Saraiva,
Boas noticias:
"The article 10.1038/s41598-019-53036-1 “Brazilian montane rainforest expansion induced by Heinrich Stadial 1 event” (SREP-18-37488-T) has been scheduled for online publication in Scientific Reports on the 29th of November 2019. On publication, the paper will be freely available online at www.nature.com/articles/s41598-019-53036-1.
Atenciosamente,
Jorge Luiz Diaz Pinaya
Antonio Mauro Saraiva
Nov 29, 2019, 7:00:21 AM11/29/19
to epus...@googlegroups.com
Parabens!! ótima noticia!!
abs
Antonio Mauro Saraiva
Full Professor, Universidade de São Paulo (USP), Escola Politécnica (EP)
Full Professor, Universidade de São Paulo (USP), Escola Politécnica (EP)
Advisor, Research Provost Office
P
resident of the Research Committee, Instituto de Estudos Avançados (IEA)
Coordinator, Research Center on Biodiversity and Computing (BioComp)
Laboratory of Agricultural Automation (LAA)
tel. +55-11-3091 1813
sar...@usp.br www.biocomp.org.br www.laa.pcs.usp.br
Laboratory of Agricultural Automation (LAA)
tel. +55-11-3091 1813
sar...@usp.br www.biocomp.org.br www.laa.pcs.usp.br
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Renata Marè
Nov 29, 2019, 11:56:45 AM11/29/19
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Bárbaro, meus parabéns!!
Enviado do meu iPhone
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Ivairton Santos
Nov 29, 2019, 3:31:57 PM11/29/19
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Uau!!! Parabéns Jorge e equipe!
[]s
____________________________________________
Ivairton M. Santos
Ivairton M. Santos
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