Institute for Computer Science and Control

WP 4 contributors. Experts in science gateway development.

The Institute for Computer Science and Control (SZTAKI), founded in 1964 as a member of the state-owned chain of institutions, has nearly 300 full-time employees, including about 80 with Ph.D. The Institute gained a worldwide reputation in computer science, systems- and control theory, engineering and business intelligence, machine perception and human-computer interaction. SZTAKI has applied results for the vehicle industry and transport, production informatics and logistics, energy and sustainable development, security and surveillance, Big Data analytics, networks, distributed computing and the Future Internet. The institute is Centre of Excellence in Information Technology, Computer Science and Control of the European Union since 2001. As the first institute from the Central Eastern European region, ERCIM (European Research Consortium of Informatics and Mathematics) granted full membership to SZTAKI in 1994. Since 2010, SZTAKI hosts the Fraunhofer-SZTAKI Project Centre for Production Management and Informatics (PMI). SZTAKI is the founding leader of the Artificial Intelligence National Laboratory, the Autonomous Systems National Laboratory, the Hungarian node of the Research Data Alliance (HRDA), and the ELKH Cloud research infrastructure.

Róbert Lovas is the deputy director at the Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH). He received his PhD degree in Informatics from the Budapest University of Technology and Economics. He is a habilitated associate professor and the founder of the Institute for Cyber-Physical Systems at the John von Neumann Faculty of Informatics, Óbuda University, and a member of the Committee on Information Science at the Hungarian Academy of Sciences. His research and development experience in a wide range of application fields of distributed and parallel systems has been gained in various global, EU and national collaborations with academic organizations, universities, and enterprises focusing on computational chemistry, numerical meteorological modelling, bioinformatics, agriculture, connected cars, and Industry 4.0. He has been coordinating EU FP7/H2020 projects and the ELKH Cloud research infrastructure. His latest cloud, big data, IoT and AI-related research achievements contribute to the recently launched Artificial Intelligence and Autonomous Systems National Laboratories.

Attila Farkas is a research associate at the Laboratory of Parallel and Distributed Systems (LPDS) at the Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH). He received his Computer Science Engineering BSc and MSc degrees from the Óbuda University, John von Neumann Faculty of Informatics. Since 2020, he has been pursuing his PhD research on the topic of distributed deep learning. He has been involved in COLA and NEANIAS European H2020 projects. His research interests focus on parallel computing, clouds, container technologies and machine learning.