[DBWorld] BigDat 2021 Autumn: early registration July 5

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7th INTERNATIONAL SCHOOL ON BIG DATA

BigDat 2021 Autumn

Beersheba, Israel

October 10-14, 2021

Co-organized by:

Ben-Gurion University of the Negev
Department of Software and Information Systems Engineering
Data Science Research Center

Institute for Research Development, Training and Advice - IRDTA
Brussels/London

https://irdta.eu/bigdat2021a/

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--- Early registration deadline: July 5, 2021 ---

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SCOPE:

BigDat 2021 Autumn will be a research training event with a global scope ai=
ming at updating participants on the most recent advances in the critical a=
nd fast developing area of big data. Previous events were held in Tarragona=
, Bilbao, Bari, Timisoara, Cambridge and Ancona.

Big data is a broad field covering a large spectrum of current exciting res=
earch and industrial innovation with an extraordinary potential for a huge =
impact on scientific discoveries, medicine, engineering, business models, a=
nd society itself. Renowned academics and industry pioneers will lecture an=
d share their views with the audience.

Most big data subareas will be displayed, namely foundations, infrastructur=
e, management, search and mining, security and privacy, and applications (t=
o biological and health sciences, to business, finance and transportation, =
to online social networks, etc.). Major challenges of analytics, management=
 and storage of big data will be identified through 23 four-hour and a half=
 courses and 3 keynote lectures, which will tackle the most active and prom=
ising topics. The organizers are convinced that outstanding speakers will a=
ttract the brightest and most motivated students. Interaction will be a mai=
n component of the event.

An open session will give participants the opportunity to present their own=
 work in progress in 5 minutes. Moreover, there will be two special session=
s with industrial and recruitment profiles.

ADDRESSED TO:

Master's students, PhD students, postdocs, and industry practitioners will =
be typical profiles of participants. However, there are no formal pre-requi=
sites for attendance in terms of academic degrees. Since there will be a va=
riety of levels, specific knowledge background may be assumed for some of t=
he courses. Overall, BigDat 2021 Autumn is addressed to students, researche=
rs and practitioners who want to keep themselves updated about recent devel=
opments and future trends. All will surely find it fruitful to listen and d=
iscuss with major researchers, industry leaders and innovators.

VENUE:

BigDat 2021 Autumn will take place in Beersheba, the largest city in the Ne=
gev desert of southern Israel and an important technology center. The venue=
 will be:

Ben-Gurion University of the Negev
Marcus Family Campus

https://in.bgu.ac.il/en/Pages/interactive.aspx

STRUCTURE:

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 f=
rom one to another.

KEYNOTE SPEAKERS:

Valerie Daggett (University of Washington), Dynameomics: From Atomistic Sim=
ulations of All Protein Folds to the Discovery of a New Protein Structure t=
o the Design of a Diagnostic Test for Alzheimer=92s Disease

Maria Girone (European Organization for Nuclear Research), Big Data Challen=
ges at the CERN HL-LHC

Lisa Schurer Lambert (Oklahoma State University), Research Methods as a Len=
s: How We Know What We Know

PROFESSORS AND COURSES:

Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fus=
ion for Remotely Sensed Data

Thomas B=E4ck & Hao Wang (Leiden University), [introductory/intermediate] D=
ata Driven Modeling and Optimization for Industrial Applications

Marcelo Bertalm=EDo (Spanish National Research Council), [intermediate] Nov=
el Vision Models in Image Processing, and How They Can Improve Artificial N=
eural Networks

Gianluca Bontempi (Universit=E9 Libre de Bruxelles), [intermediate/advanced=
] Machine Learning against Credit-card Fraud: Lessons Learned from a Real C=
ase

Altan Cakir (Istanbul Technical University), [intermediate] Big Data Analyt=
ics with Apache Spark

Michael X. Cohen (Radboud University Nijmegen), [introductory] Dimension Ex=
plosion and Dimension Reduction in Brain Electrical Activity

Ramez Elmasri (University of Texas, Arlington), [intermediate] Spatial, Tem=
poral, and Spatio-Temporal Data

Ian Fisk (Flatiron Institute), [introductory] The Infrastructure to Support=
 Data Science

Michael Freeman (University of Washington), [intermediate] Interactive Data=
 Visualization Using D3 + Observable

David Gerbing (Portland State University), [introductory] Derive Meaning fr=
om Data with R Visualizations

Christopher W.V. Hogue (Ericsson Inc.), [introductory] Applied Information =
Theory for Scalable Database Schema and Query Templates

Ravi Kumar (Google), [intermediate/advanced] Clustering for Big Data

Victor O.K. Li (University of Hong Kong), [intermediate] Deep Learning and =
Applications

Wladek Minor (University of Virginia), [introductory/advanced] Big Data in =
Biomedical Sciences

Jos=E9 M.F. Moura (Carnegie Mellon University), [introductory] Graph Signal=
 Processing

Panos Pardalos (University of Florida), [intermediate/advanced] Optimizatio=
n and Data Sciences Techniques for Large Networks

Valeriu Predoi (University of Reading), [introductory] A Beginner's Guide t=
o Big Data Analysis: How to Connect Scientific Software Development with Re=
al World Problem

Karsten Reuter (Max Planck Society), [introductory/intermediate] Machine Le=
arning for Materials and Energy Applications

Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Netw=
ork-based Health Analytics

Steven Skiena (Stony Brook University), [introductory/intermediate] Word an=
d Graph Embeddings for Machine Learning

Alexandre Vaniachine (VirtualHealth), [intermediate] Open-source Columnar D=
atabases

Sebasti=E1n Ventura (University of C=F3rdoba), [intermediate/advanced] Supe=
rvised Descriptive Pattern Mining

Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] L=
anguage Models and Applications

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in pr=
ogress by participants. They should submit a half-page abstract containing =
the title, authors, and summary of the research to [email protected] by Octobe=
r 2, 2021.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applicat=
ions of big data in industry. Companies interested in contributing are welc=
ome to submit a 1-page abstract containing the program of the demonstration=
 and the logistics needed. People participating in the demonstration must r=
egister for the event. Expressions of interest have to be submitted to davi=
[email protected] by October 2, 2021.

EMPLOYER SESSION:

Firms searching for personnel well skilled in big data will have a space re=
served for one-to-one contacts. It is recommended to produce a 1-page .pdf =
leaflet with a brief description of the company and the profiles looked for=
 to be circulated among the participants prior to the event. People in char=
ge of the search must register for the event. Expressions of interest have =
to be submitted to [email protected] by October 2, 2021.

ORGANIZING COMMITTEE:

Stavi Baram (Beersheba)
Mark Last (Beersheba)
Carlos Mart=EDn-Vide (Tarragona, program chair)
Sara Morales (Brussels)
Manuel J. Parra-Roy=F3n (Granada)
Lior Rokach (Beersheba, co-chair)
Bracha Shapira (Beersheba, co-chair)
David Silva (London, co-chair)

REGISTRATION:

It has to be done at

https://irdta.eu/bigdat2021a/registration/

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 he=
lpful to have an estimation of the respective demand for each course. Durin=
g the event, participants will be free to attend the courses they wish.

Since the capacity of the venue is limited, registration requests will be p=
rocessed on a first come first served basis. The registration period will b=
e closed and the on-line registration tool disabled when the capacity of th=
e venue will get exhausted. It is highly recommended to register prior to t=
he event.

FEES:

Fees comprise access to all courses and lunches. There are several early re=
gistration deadlines. Fees depend on the registration deadline.

ACCOMMODATION:

Suggestions for accommodation will be available in due time at

https://irdta.eu/deeplearn2021a/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered in=
dicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

[email protected]

ACKNOWLEDGMENTS:

Ben-Gurion University of the Negev

Institute for Research Development, Training and Advice =96 IRDTA, Brussels=
/London
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