[Doc2012] [CONVITE] Palestras - Prof. Dennis Shasha da Universidade de Nova York.

[MDCC UFC]

Prezados (as), boa tarde.

Convidamos a todos para duas palestras do *Professor Dennis Shasha da
Universidade de Nova York*, o qual estará realizando uma visita ao
Departamento de Computação no período de 22 de fevereiro à 02 de março. O
Professor Dennis Shasha é um renomado cientista da Ciência da Computação,
em particular da área de Banco de Dados. Suas palestras são muito
concorridas nos eventos da área.

Segue abaixo um pequeno resumo de algumas de suas habilidades:

"Professor Dennis Shasha works on quite a few different projects. Most have
to do with large data and pattern matching or machine learning. Areas of
interest include computational biology and biomedicine (data analysis,
visualization, experimental design), time series (fast algorithms for
fundamental problems such as correlation and burst detection as well as
applications like query by humming), and pattern matching in trees and
graphs. Beginning in 2013, Ihe has been intrigued by the problems and
opportunities in millimeter wireless under the auspices of NYU Wireless.
This has included projects having to do with making magnetic resonance
image reconstruction faster and core topics like channel modeling and
databases for propagation measurements. A general pattern? He likes
puzzles. A second general pattern is that he programs a lot in a fast,
extremely expressive language called K and its successor languages like q."

Segue abaixo os detalhes das duas palestras que ele irá proferir:


*Palestra #1: The Changing Nature of Invention in Computer
ScienceLocal/Horário: Sala de Seminários Bloco 952, Terça-Feira
(23/Fevereiro) às 9:00h*

What drives inventions in computing? Necessity seems to play only a minor
role. Anger at the way things are is much more powerful, because it leads
to easier ways to work (the invention of new computer languages). A general
dissatisfaction with the practical or theoretical structure of the world
can open up whole new approaches to problems (complexity theory and
cryptography). Finally, a genuine collaboration between people and machines
can lead to an entirely new kind of engineering for devices that will
travel to far-off planets or to hostile environments. The talk will discuss
the work of several inventors in computing and engineering, their
inventions, and how they came up with them and how they plan to come up
with more in the future. The ensuing discussion will address the
fundamental nature of invention in a world partly populated by intelligent
machines.



*Palestra #2: Fast Calculations of Simple Primitives in Time
SeriesLocal/Horário: Sala de Seminários Bloco 952, Quarta-Feira
(24/Fevereiro) às 9:00h*

Financial time series streams are watched closely by millions of traders.
What exactly do they look for and how can we help them do it faster?
Physicists study the time series emerging from their sensors. The same
question holds for them. Musicians produce time series. This talk presents
techniques and case studies for three problems:

i. Finding sliding window correlations in financial, physical, and
other applications.
ii. Discovering bursts in large sensor data of gamma rays.
iii. Matching hums to recorded music, even when people don't hum well.

This tutorial draws mostly from the book  High Performance Discovery in
Time Series: techniques and case studies, Springer-Verlag 2004 but will
discuss some techniques that post-date the publication of that book


Atenciosamente,
Secretaria do MDCC
*(85) 3366-9847 R 216*
*http://mdcc.ufc.br/ <http://mdcc.ufc.br/>*
*Universidade Federal do Ceará - UFC*
*Centro de Ciências*

*Departamento de Computação*
*Mestrado e Doutorado em Ciência da Computação - MDCC*

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