Fabio
Francesco Guerra e Sonia Bergamaschi are track organizers of the Second International Workshop BDAA 2015 as part of HPCS 2015
Francesco Guerra e Sonia Bergamaschi are track organizers of the Second International Workshop " Big Data Principles, Architecture & Applicationds (BDAA) 2015" as part of the International Conference on High Performance Computing & Simulation (HPCS 2015) : hhttp://hpcs2015.cisedu.info/2-conference/hpsc-2015-symposia/bdaa
Sonia Bergamaschi was a speaker at the Workshop on “Dynamic Data Citation” at Riva del Garda, 20-21 April 2015
Ricevimento studenti del 16/04/2015 avrà luogo dalle 10 alle 12 invece che dalle 16 alle 18.
Il ricevimento studenti della Pprof. Sonia Bergamaschi del 16/04/2015 avrà luogo dalle 10 alle 12 invece che dalle 16 alle 18.
Sonia Bergamaschi and Giovanni Simonini teachers of the "Emerging Tools and techniques for massive data analysis" promoted by Cineca on 08-09-10 April 2015
Sonia Bergamaschi and Giovanni Simonini teachers of the "Emerging Tools and techniques for massive data analysis" promoted by Cineca on on 08-09-10 April 2015.
Jacobs University Bremen is looking for candidates as Ph.D. student in “Planetary Science Data Analytics”
Jacobs University Bremen is a private, state‐recognized, English‐language research university, offering Bachelor, Master or PhD programs in in our focus areas Health, Mobility and Diversity. The guiding principles are first class research and teaching, international diversity and transdisciplinary cooperation. Jacobs University’s goal is to prepare young talents from all around the world to take on the new challenges in today’s globalized workplace. Currently, more than 1,300 students from over 100 nations live and study on the residential campus.
The department of Physics and Earth Sciences in the focus area Health at Jacobs University invites applications for the next possible date for a qualified Ph.D. Student (f/m) "Planetary Science Data Analytics"
The research is going to combine the latest technological developments in BigData analytics with the scientific exploitation of Planetary Science data: raster, image, topography, multi-, hyperspectral cubes, subsurface sounding radar. The “EarthServer-2” project is funded by the European Commission.
More information at: https://www.jacobs-university.de/node/26063
Sonia Bergamaschi and Giovanni Simonini teachers of the "Emerging Tools and techniques for massive data analysis" promoted by Cineca on 15-16 december
Sonia Bergamaschi and Giovanni Simonini teachers of the "Emerging Tools and techniques for massive data analysis" promoted by Cineca on 15-16 december, see the agenda
Sonia Bergamaschi attended as panelist the Ai*IA workshop "Embracing Potential of Big Data"
Pisa on 12/12/2014. See the agenda at: http://aiia2014.di.unipi.
Sonia Bergamaschi is invited speaker at the Workshop "PICO: the CINECA solution for Big Data management" held at the CINECA headquarter of Casalecchio on December 5th.
The Workshop "PICO: the CINECA solution for Big Data management" (PICO: la soluzione Cineca per la gestione dei Big Data) will take place at the CINECA headquarters of Casalecchio the 5th of December and it will be streamed at : http://streaming.cineca.it/pico/
The schedule of the workshop is published at this URL:
http://www.hpc.cineca.it/news/workshop-pico-cineca-solutions-big-data-science
If you want partecipace there are still some seats available. The information to reach the workshop are available at this url:
http://www.cineca.it/it/content/come-raggiungerci
Signed two important Erasmus agreements
Two important Erasmus agreements with two universities for the academic year 2015/2016 have just been signed:
- Postdam University- Hasso Platner Institut
- Goethe University Frankfurt am Main
Fabio Benedetti participated in the conference "ISWC2014" presenting a paper and a Demo of LODeX
Fabio Benedetti participated in the conference "ISWC 2014" with the demo of Lodex titled "A visual summary for Linked Open Data" , and to present the paper "Online Index Extraction from LOD Sources" in the workshop "Linked Data for Information Extraction".

