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BigDat 2018

Timișoara, Romania

January 22-26, 2018


Organized by:

West University of Timișoara

Rovira i Virgili University





BigDat 2018 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.). Major challenges of analytics, management and 
storage of big data will be identified through 2 keynote lectures, 24 five hour 
and fifteen minute-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. Also, there will be two special sessions with 
industrial and recruitment profiles.



Master 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 2018 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.



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 2018 will take place in Timișoara, which has been nominated one of the 
European Capitals of Culture in 2021. The venue will be:


Universitatea de Vest

Blvd. Vasile Parvân, nr. 4

300223 Timișoara

KEYNOTE SPEAKERS: (to be completed)



PROFESSORS AND COURSES: (to be completed)


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 


Diego Calvanese (Free University of Bozen-Bolzano), tba


Geoffrey C. Fox (Indiana University, Bloomington), tba


Minos Garofalakis (Technical University of Crete), tba


David W. Gerbing (Portland State University), [introductory] Data Visualization 
with R


Xiaohua Tony Hu (Drexel University), [introductory/advanced] Big Data Analysis 
in Microbiome Study


Maurizio Lenzerini (Sapienza University of Rome), [intermediate/advanced] 
Semantic Technologies for Open Data Publishing


Bing Liu (University of Illinois, Chicago), [intermediate/advanced] Lifelong 
Learning and its Application to NLP


Folker Meyer (Argonne National Laboratory), tba


Wladek Minor (University of Virginia), tba


Raymond Ng (University of British Columbia), tba


Hanan Samet (University of Maryland, College Park), [introductory/intermediate] 
Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for 
Applications in Spatial Databases, Geographic Information Systems (GIS), and 
Location-based Services


Jaideep Srivastava (Qatar Computing Research Institute), tba


Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That 
Aren't Machine Learning


Haixun Wang (Facebook), [intermediate/advanced] Understanding Natural Language: 
End-to-end and Structure Learning Approaches


Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] 
Mining Big Networked Data



An open session will collect 5-minute voluntary presentations of work in 
progress by participants. They should submit a half-page abstract containing 
title, authors, and summary of the research to david.silva409 (at) by 
January 15, 2018.



A session will be devoted to 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, the duration 
requested and the logistics necessary. At least one of the people participating 
in the demonstration should have registered for the event. Expressions of 
interest have to be submitted to david.silva409 (at) by January 15, 



Firms searching for personnel well skilled in big data will have a space 
reserved for one-to-one contacts. At least one of the people in charge of the 
search should have registered for the event. Expressions of interest have to be 
submitted to david.silva409 (at) by January 15, 2018.



Carlos Martín-Vide (co-chair)

Viorel Negru

Manuel J. Parra Royón

Dana Petcu

Monica Sancira (co-chair)

David Silva



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. 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 facility disabled if the capacity of the 
venue is 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.



Participants will be delivered a certificate of attendance indicating the 
number of hours of lectures.



david.silva409 (at)



Universitatea de Vest din Timișoara

Universitat Rovira i Virgili
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