[ecoop-info] BigDat 2021 Autumn: early registration July 5

IRDTA irdta at irdta.eu
Tue Jun 15 08:38:43 CEST 2021

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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




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



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

Big data is a broad field covering 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.). 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 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

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


Master's students, PhD students, postdocs, and industry
practitioners will be typical profiles of participants. However,
there are no formal pre-requisites for attendance in terms of
academic degrees. Since there will be a variety of levels,
specific knowledge background may be assumed for some of the
courses. Overall, BigDat 2021 Autumn is addressed to students,
researchers and practitioners who want to keep themselves updated
about recent developments and future trends. All will surely find
it fruitful to listen and discuss with major researchers,
industry leaders and innovators.


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

Ben-Gurion University of the Negev

Marcus Family Campus



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.


Valerie Daggett (University of Washington), Dynameomics: From
Atomistic Simulations of All Protein Folds to the Discovery of a
New Protein Structure to the Design of a Diagnostic Test for
Alzheimer’s Disease

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

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


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

Thomas Bäck & Hao Wang (Leiden University),
[introductory/intermediate] Data Driven Modeling and Optimization
for Industrial Applications

Marcelo Bertalmío (Spanish National Research Council),
[intermediate] Novel Vision Models in Image Processing, and How
They Can Improve Artificial Neural Networks

Gianluca Bontempi (Université Libre de Bruxelles),
[intermediate/advanced] Machine Learning against Credit-card
Fraud: Lessons Learned from a Real Case

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

Michael X. Cohen (Radboud University Nijmegen), [introductory]
Dimension Explosion and Dimension Reduction in Brain Electrical

Ramez Elmasri (University of Texas, Arlington), [intermediate]
Spatial, Temporal, 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 from Data with R Visualizations

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

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

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

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

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

Valeriu Predoi (University of Reading), [introductory] A
Beginner's Guide to Big Data Analysis: How to Connect Scientific
Software Development with Real World Problem

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

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

Steven Skiena (Stony Brook University),
[introductory/intermediate] Word and Graph Embeddings for Machine

Alexandre Vaniachine (VirtualHealth), [intermediate] Open-source
Columnar Databases

Sebastián Ventura (University of Córdoba),
[intermediate/advanced] Supervised Descriptive Pattern Mining

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


An open session will collect 5-minute voluntary presentations of
work in progress by participants. They should submit a half-page
abstract containing the title, authors, and summary of the
research to david at irdta.eu by October 2, 2021.


A session will be devoted to 10-minute demonstrations of
practical applications of big data in industry. Companies
interested in contributing are welcome to submit a 1-page
abstract containing the program of the demonstration and the
logistics needed. People participating in the demonstration must
register for the event. Expressions of interest have to be
submitted to david at irdta.eu by October 2, 2021.


Firms searching for personnel well skilled in big data will have
a space reserved 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 charge of the search
must register for the event. Expressions of interest have to be
submitted to david at irdta.eu by October 2, 2021.


Stavi Baram (Beersheba)

Mark Last (Beersheba)

Carlos Martín-Vide (Tarragona, program chair)

Sara Morales (Brussels)

Manuel J. Parra-Royón (Granada)

Lior Rokach (Beersheba, co-chair)

Bracha Shapira (Beersheba, co-chair)

David Silva (London, co-chair)


It has to be done at


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 estimation of the
respective demand for each course. During the event, participants
will be free to attend the courses they wish.

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
tool disabled when the capacity of the venue will get exhausted.
It is highly recommended to register prior to the event.


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


Suggestions for accommodation will be available in due time at



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


david at irdta.eu


Ben-Gurion University of the Negev

Institute for Research Development, Training and Advice – IRDTA,

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