[hpc-announce] BigDat 2017: early registration August 26

[GRLMC]

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3RD
INTERNATIONAL WINTER SCHOOLON BIG DATA 

  

BIGDAT 2017 

BARI, ITALY


FEBRUARY 13-17, 2017 

Organized by: 

University of Bari "Aldo Moro"


Rovira i VirgiliUniversity 

http://grammars.grlmc.com/BigDat2017/


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--- Early
registration deadline: August 26, 2016 ---


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AIM:


BigDat 2017 will be a research training event with a global scope
aiming at updating participants about the most recent advances in the
critical and fast developing area of big data, which covers a large
spectrum of current exciting research and industrial innovation with an
extraordinary potential for a huge impact on scientific discoveries,
medicine, engineering, business models, and society itself. Renowned
academics and industry pioneers will lecture and share their views with
the audience. 

Most big data subareas will be displayed, namely
foundations, infrastructure, management, search and mining, security and
privacy, and applications (to biological and health sciences, to
business, finance and transportation, to online social networks, etc.).
Main challenges of analytics, management and storage of big data will be
identified through 4 keynote lectures, 24 six-hour courses, and 1 round
table, which will tackle the most active and promising topics. The
organizers are convinced that outstanding speakers will attract the
brightest and most motivated students. Interaction will be a main
component of the event. An open session will give participants the
opportunity to present their own work in progress in 5 minutes.


ADDRESSED TO: 

In principle, graduate students, PhD students and
postdocs from around the world will be the most typical profiles.
However, there are no formal pre-requisites for participation in terms
of academic degrees. Since there will be differences in level, specific
knowledge background may be assumed for some of the courses. BigDat 2017
is also appropriate for more senior people who want to keep themselves
updated on recent developments and future trends. All will surely find
it fruitful to listen and discuss with major researchers, industry
leaders and innovators. 

REGIME: 

In addition to keynotes, 2-3 courses
will run in parallel during the whole event. Participants will be able
to freely choose the courses they wish to attend as well as to move from
one to another. 

VENUE: 

BigDat 2017 will take place in Bari, a lively
university city on the Adriatic Sea in Southern Italy. The venue will
be: 

Department of Computer Science 

University of Bari "Aldo Moro"


via Orabona, 4 

70125 Bari, Italy 

KEYNOTE SPEAKERS: 

tba


PROFESSORS AND COURSES: (TO BE COMPLETED) 

Thomas Bäck
(LeidenUniversity), [introductory/intermediate] Data Analytics and
Optimization for Industrial Applications: Introduction, Algorithms, and
Examples 

Paul Bliese (University of South Carolina),
[introductory/intermediate] Using R for Mixed-effects (Multilevel)
Models 

Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for
Big Data Analytics 

Tamás Budavári (JohnsHopkinsUniversity),
[introductory] Big Data Approaches in Astronomy 

Diego Calvanese (Free
University of Bozen-Bolzano), [advanced] Data-aware Processes: Modeling
and Verification 

Amr El Abbadi (University of California, Santa
Barbara), [introductory/intermediate] Managing Big Data in the Cloud


Geoffrey C. Fox (IndianaUniversity), tba 

Minos Garofalakis
(Technical University of Crete), [intermediate/advanced] Streaming Big
Data Analytics 

David W. Gerbing (PortlandStateUniversity),
[introductory] Data Visualization with R 

Georgios B. Giannakis
(University of Minnesota), [advanced] Signal Processing Tools for Big
Data Analytics 

Sander Klous (University of Amsterdam), [introductory]
We Are Big Data 

Maurizio Lenzerini (Sapienza University of Rome),
[intermediate/advanced] Ontology-based Data Management 

Jiebo Luo
(University of Rochester), [introductory/advanced] Big Data. Strong
Health. Better Life 

Soumya D. Mohanty (University of Texas Rio Grande
Valley), [introductory/intermediate] Swarm Intelligence Methods and
Optimization Problems in Big Data Analytics 

Bernhard Pfahringer
(University of Waikato), [introductory] Introduction to Data Stream
Mining for Big Data 

Krithi Ramamritham (Indian Institute of Technology
Bombay), [introductory/intermediate] Harnessing Big Data for Building
Smart Things 

Michael Rosenblum (University of Potsdam),
[introductory/intermediate] Coupled Oscillators Approach in Time Series
Analysis 

Pierangela Samarati (University of Milan), [intermediate]
Data Protection in the Cloud 

V.S. Subrahmanian (University of
Maryland), [introductory/intermediate] Big Data in Cybersecurity


Alexander S. Tuzhilin (New YorkUniversity),
[introductory/intermediate] Recommender Systems and Big Data 

Jeffrey
Ullman (StanfordUniversity), [introductory] Big Data Algorithms that
Aren't Machine Learning 

Lyle Ungar (University of Pennsylvania),
[introductory] Text Mining 

John Wright (ColumbiaUniversity),
[intermediate/advanced] Sparse and Low-Dimensional Models for
High-Dimensional Data: Theory, Algorithms and Applications 

Zhongfei
Zhang (BinghamtonUniversity), [introductory/advanced] Knowledge
Discovery from Relational and Multimedia Data 

OPEN SESSION 

An open
session will collect 5-minute presentations of work in progress by
participants. They should submit a half-page abstract containing title,
authors, and summary of the research to florentinalilica.voicu (at)
urv.cat by February 10, 2017. 

ORGANIZING COMMITTEE: 

Annalisa Appice


Michelangelo Ceci (co-chair) 

Corrado Loglisci 

Donato Malerba
(co-chair) 

Carlos Martín-Vide (co-chair) 

Manuel Jesús Parra Royón


Gianvito Pio 

Florentina Lilica Voicu 

REGISTRATION: 

It has to be
done at 

http://grammars.grlmc.com/BigDat2017/registration.php 

The
selection of up to 8 courses requested in the registration template is
only tentative and non-binding. For the sake of organization, it will be
helpful to have an approximation of the respective demand for each
course. 

Since the capacity of the venue is limited, registration
requests will be processed on a first come first served basis. The
registration period will be closed and the on-line registration facility
disabled when the capacity of the venue will be complete. It is much
recommended to register prior to the event. 

FEES: 

Fees are a flat
rate allowing the attendance to all courses during the week. There are
several early registration deadlines. Fees depend on the registration
deadline. 

ACCOMMODATION: 

Suggestions for accommodation will be
available in due time. 

CERTIFICATE: 

Participants will be delivered a
certificate of attendance. 

QUESTIONS AND FURTHER INFORMATION:


florentinalilica.voicu (at) urv.cat 

ACKNOWLEDGEMENTS: 

Università
degli Studi di Bari Aldo Moro 

Universitat Rovira i Virgili 

 
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