International Winter School on Big Data
Tarragona, Spain, January 26-30, 2015
Rovira i Virgili University
BigDat 2015 is a research training event for graduates and postgraduates in the first steps of their academic career. It aims at updating them about the most recent developments in the fast developing area of big data, which covers a large spectrum of current exciting research, development and 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.
All big data subareas will be displayed, namely: foundations, infrastructure, management,
search and mining, security and privacy, and applications.
Main challenges of analytics, management and storage of big data will be identified
through 4 keynote lectures and 19 six-hour courses, which will tackle the most lively and promising topics.
The organizers believe outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.
Graduate and postgraduates from around the world. There are no formal pre-requisites in terms of academic degrees. However, since there will be differences in the course levels, specific knowledge background may be required for some of them.
BigDat 2015 is also appropriate for more senior people who want to keep themselves updated on recent developments and future trends. They will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.
In addition to keynotes, 3 parallel sessions will run in parallel during the whole event. Participants will be able to freely choose the courses they will be willing to attend as well as to move from one to another.
BigDat 2015 will take place in Tarragona, located 90 kms. to the south of Barcelona. The venue will be:
Universitat Rovira i Virgili
Avinguda Catalunya, 35
Professors and Courses
- Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data Analytics
- Diego Calvanese (Free University of Bozen-Bolzano), [introductory/intermediate] End-User Access to Big Data Using Ontologies
- Jiannong Cao (Hong Kong Polytechnic University), [introductory/intermediate] Programming with Big Data
- Edward Y. Chang (HTC Corporation, New Taipei City), [introductory/advanced] Big Data Analytics: Architectures, Algorithms, and Applications
- Ernesto Damiani (University of Milan and Etisalat British Telecom Innovation Center, Abu Dhabi), [introductory/intermediate] Process Discovery and Predictive Decision Making from Big Data Sets and Streams
- Gautam Das (University of Texas Arlington), [intermediate/advanced] Mining Deep Web Repositories
- Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] Using Software Defined Systems to Address Big Data Problems
- Minos Garofalakis (Technical University of Crete, Chania) [intermediate/advanced], Querying Continuous Data Streams
- Kwan-Liu Ma (University of California Davis), [intermediate] Big Data Visualization
- Christoph Meinel (Hasso Plattner Institute, Potsdam), [introductory/intermediate] New Computing Power by In-Memory and Multicore to Tackle Big Data
- Manish Parashar (Rutgers University, Piscataway), [intermediate] Big Data Challenges in Simulation-based Science
- Srinivasan Parthasarathy (Ohio State University, Columbus), [intermediate] Scalable Data Analysis
- Evaggelia Pitoura (University of Ioannina), [introductory/intermediate] Online Social Networks
- Vijay V. Raghavan (University of Louisiana Lafayette), [introductory/intermediate] Visual Analytics of Time-evolving Large-scale Graphs
- Pierangela Samarati (University of Milan), [intermediate], Data Security and Privacy in the Cloud
- Peter Sanders (Karlsruhe Institute of Technology), [introductory/intermediate] Algorithm Engineering for Large Data Sets
- Johan Suykens (KU Leuven), [introductory/intermediate] Fixed-size Kernel Models for Big Data
- Domenico Talia (University of Calabria, Rende), [intermediate] Scalable Data Mining on Parallel, Distributed and Cloud Computing Systems
- Jieping Ye (Arizona State University, Tempe), [introductory/advanced] Large-Scale Sparse Learning and Low Rank Modeling
- Adrian Horia Dediu (Tarragona)
- Carlos Martín-Vide (Tarragona, chair)
- Florentina Lilica Voicu (Tarragona)
The registration form can be found here.
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.
Deadlines and Fees
As far as possible, participants are expected to stay full-time. Fees are a flat rate
for the attendance to all courses during the week.
There are several early registration deadlines. Fees depend on the registration deadline:
- Early registration1: June 23, 2014 --- 290 Euro
- Early registration2: July 23, 2014 --- 330 Euro
- Early registration3: August 23, 2014 -- 370 Euro
- Early registration4: September 23, 2014 --- 410 Euro
- Early registration5: October 23, 2014 --- 450 Euro
- Early registration6: November 23, 2014 --- 490 Euro
- Early registration: December 23, 2014 --- 530 Euro
- Late registration: January 23, 2015 --- 570 Euro
- On-site registration: 610 Euro
Suggestions of accommodation will be provided in due time.
Participants will be delivered a certificate of attendance.
Questions and further information
See contact information on the right-hand side of the page.