The Centre of Research Excellence for Data Science and Advanced Cooperative Systems (CRE ACROSS-DataScience)
Centre Leaders:
Leader of Data Science Unit: prof. dr. sc. Sven Lončarić, sven.loncaric@fer.hr
Local leader: Edouard Ivanjko, PhD.
This is the first centre of excellence in the field of technical sciences in Croatia, inaugurated on November 6th 2015. The Centre brings together researches from thirteen renowned organisations, including eleven higher education institutions from Zagreb, Split, Rijeka, Osijek and Dubrovnik, as well as the Ruđer Bošković Institute and the company Ericsson Nikola Tesla. Find out more about the participating organizations here.
The mission of the Centre is to advance Croatian science and strengthen its inclusion in the European Research Area, in particular by promoting the participation in EU and other international research programmes. The Centre fosters cooperation between the academic community and the public sector in the specific research areas that are in the focus of the Centre.
The vision of the Centre is to establish itself as the leader in research and development of new methods and advanced engineering approaches related to data science and cooperative systems.
The Centre comprises two research units:
- Research Unit for Data Science (RU DataScience)
- Research Unit for Cooperative Systems (RU ACROSS)
The Data Science Research Unit (RU DataScience) comprises 49 leading experts dealing with Data Science. The goal of Data Science is the extraction of knowledge from data, including Big Data. This goal mandates the use of methods based on a number of diverse theoretical fields, such as mathematics, statistics, information theory, signal processing, probability models, machine learning, data mining, database, data engineering, natural language processing, pattern recognition and learning, visualization, predictive analytics, data warehousing, data compression, and high performance computing.
To successfully meet this challenge, research activities have been structured into the following four research areas:
- Research Area 1: Multimodal Data Processing and Information Management
- Research Area 2: Machine Learning and Data Mining Techniques
- Research Area 3: Heterogeneous Computing and Advanced Cloud Services
- Research Area 4: Multidisciplinary Data Intensive Applications
The applications range from data mining and complex networks to social networks, bioinformatics, business analytics, financial applications, health, and physics.
The list of Data Science Research Unit members for each Research Area is available here. The list of participating organizations is available here.