Institute of Informatics
Topic
Distributed large data processing
PhD. program
Informatics / Applied Informatics
Name of the supervisor
doc. Ing. Ladislav Hluchý, CSc.
Contact:
Receiving school
Faculty of Mathematics, Physics and Informatics, Comenius Uni in Bratislava
Annotation
Receiving schools (another possibilities):
- Faculty of Informatics and Information Technologies of STU in Bratislava (program: Applied Informatics)
- Faculty of Electrical Engineering and Informatics, Technical Uni of Košice (FEI TUKE, program: Informatics)
Rapidly increasing volumes of diverse data from distributed sources create challenges for extracting valuable knowledge. Such applications can be considered modelling, simulation, pattern recognition, visualization, etc. in different areas as e.g. biomedicine, astrophysics, environmental sciences, aeronautics, automotive, energy, material sciences. Due to the size of the data, which are often referred to as large, extreme, it is necessary to design a methodology, robust methods and tools for extreme-scale analytics in synergy with distributed architectures for collecting and managing vast amounts of data such as Cloud Technologies and IoT. The dissertation project will be focused on the analysis, design of methodology, methods and algorithms for processing of large data for selected applications, which are currently solved at UI SAV. The research project will also include research and development of appropriate tools and services for distributed processing of methods and algorithms.
more info
year 2022/2023
- Faculty of Informatics and Information Technologies of STU in Bratislava (program: Applied Informatics)
- Faculty of Electrical Engineering and Informatics, Technical Uni of Košice (FEI TUKE, program: Informatics)
Rapidly increasing volumes of diverse data from distributed sources create challenges for extracting valuable knowledge. Such applications can be considered modelling, simulation, pattern recognition, visualization, etc. in different areas as e.g. biomedicine, astrophysics, environmental sciences, aeronautics, automotive, energy, material sciences. Due to the size of the data, which are often referred to as large, extreme, it is necessary to design a methodology, robust methods and tools for extreme-scale analytics in synergy with distributed architectures for collecting and managing vast amounts of data such as Cloud Technologies and IoT. The dissertation project will be focused on the analysis, design of methodology, methods and algorithms for processing of large data for selected applications, which are currently solved at UI SAV. The research project will also include research and development of appropriate tools and services for distributed processing of methods and algorithms.
more info
year 2022/2023