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BigDat 2017

Bari, Italy

February 13-17, 2017


Organized by:

University of Bari "Aldo Moro"

Rovira i Virgili University



--- Early registration deadline: October 21, 2016 ---





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.



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.



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.



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






Thomas Bäck (Leiden University), [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 


Tamás Budavári (Johns Hopkins University), [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 (Indiana University), [intermediate] Using High Performance 
Computing for Big Data Analytics


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


David W. Gerbing (Portland State University), [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


Laks V.S. Lakshmanan (University of British Columbia), [introductory] Analysis 
of Large Social Networks


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


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 Security and 
Privacy in the Cloud


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


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


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


Lyle Ungar (University of Pennsylvania), [introductory] Sentiment Mining from 
User Generated Content


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


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



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) by 
February 10, 2017.



Annalisa Appice

Michelangelo Ceci (co-chair)

Stefano Franco

Corrado Loglisci

Donato Malerba (co-chair)

Carlos Martín-Vide (co-chair)

Manuel Jesús Parra Royón

Gianvito Pio

Florentina Lilica Voicu



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



Suggestions for accommodation are available on the website.



Participants will be delivered a certificate of attendance.



florentinalilica.voicu (at)



Università degli Studi di Bari Aldo Moro

Universitat Rovira i Virgili
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