Program

IWDS 2019 Program

Tuesday, 15th October 2019, FER Conference Center, Grey Hall

8:30-9:00 Registration of participants

9:00-9:05 Opening

Mihaela Vranić, Vice Dean for Teaching, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia

9:05-9:10 Introduction

Sven Lončarić, University of Zagreb, Croatia and Tomislav Šmuc, Ruđer Bošković Institute, Zagreb, Croatia

9:10-9:50 Plenary lecture: Studying Complex Microbial Communities using Data Science Techniques

Niranjan Nagarajan, Computational and Systems Biology, Genome Institute of Singapore, A*STAR

9:50-10:15 Coffee break

10:15-12:00 Research Activities of the Research Unit for Data Science

Research area 1: Multimedia Data Processing and Data Management

Co-Chairs: Jan Šnajder, University of Zagreb, Croatia and Ivica Kopriva, Ruđer Bošković Institute, Zagreb, Croatia

Research area 2: Machine Learning and Data Mining

Co-Chairs: Tomislav Šmuc, Ruđer Bošković Institute, Zagreb, Croatia and Bojana Dalbelo Bašić, University of Zagreb, Croatia

Research area 3: Heterogeneous Computing and Advanced Cloud Services

Co-Chairs: Karolj Skala, Ruđer Bošković Institute, Zagreb, Croatia and Zlatan Car, University of Rijeka, Croatia

Research area 4: Multidisciplinary Data Intensive Applications

Co-Chairs: Mile Šikić, University of Zagreb, Croatia and Nikola Godinović, University of Split, Croatia

12:00-12:30 Poster session (posters will be on display from 9:00)

12:30-13:30 Lunch


Tuesday, 15th October 2019, FER Conference Center, Grey Hall

13:30-14:00 Research Unit for Data Science: General meeting of team members

14:00-14:30 Industry Advisory Board meeting

15:00-15:30 Scientific Advisory Board meeting


Satellite Events: Center of Excellence for Data Science and Cooperative Systems

Wednesday, 16th October 2019, FER Conference Center, Grey Hall

9:30-10:30 Public presentation of the Center of Excellence for Data Science and Cooperative System and DATACROSS project

10:30-11:00 Coffee break and poster session

11:00-12:00 Open doors of the Center of Excellence for Data Science and Cooperative System