Róbert Lovas
He received his MSc degree in Electrical Engineering and PhD degree in Informatics from the Budapest University of Technology and Economics, and worked as a visiting research associate at the Department of Mathematics and Computer Science, Emory University. 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. He has been elected as a member of the Committee on Information Science at the Hungarian Academy of Sciences, and received a Bolyai János Research Scholarship.
His solid, 20-year research and development experience in wide range of application fields of distributed and parallel systems has been gained in various global, European and national collaborations with academic organizations, universities, and enterprises focusing on computational chemistry, numerical meteorological modeling, bioinformatics, agriculture, connected cars, and Industry 4.0.
He coordinated two e-infrastructure projects in the EU 7th Framework Programme to build computing services for research communities. In the national Agrodat.hu project he led the Big Data research platform activities, and he currently acts as the coordinator in the H2020 CO-VERSATILE project, and as the project director of ELKH Cloud. His latest research achievements contribute to the recently launched Artificial Intelligence and Autonomous Systems National Laboratories.
More than 80 scientific papers and book chapters on software engineering for Grid, Cloud, Big Data, IoT and AI platforms particularly from workflow-oriented design, orchestration, debugging, and application aspects are included in his publication records. He has been regularly invited as a keynote speaker or as a program committee member by international conference organizers since 2009.
Important publications
★ Big data and machine learning framework for clouds and its usage for text classification
Publication date2021★ Cloud-agnostic architectures for machine learning based on Apache Spark
Publication date2021★ Weather model fine-tuning with software container-based simulation platform
Publication date2019★ Cloud agnostic Big Data platform focusing on scalability and cost-efficiency
Publication date2018★ An adaptive cloud-based IoT back-end architecture and its applications
Publication date2018★ A Novel IoT Platform for the Era of Connected Cars
Publication date2018