Institute of Informatics
Topic
Soft computing for complex solutions
PhD. program
Applied Informatics / Informatics
Name of the supervisor
doc. Ing. Giang NGUYEN, PhD.
Contact:
Receiving school
Faculty of Informatics and Information Technologies of STU in Bratislava
Annotation
Receiving schools (another possibilities):
- Faculty of Electrical Engineering and Informatics, Technical Uni of Košice (FEI TUKE, program: Informatics)
- Faculty of Mathematics, Physics and Informatics, Comenius Uni in Bratislava (program: Informatics)
The topic is focused on soft computing, which constructs computationally intelligent methods by combining edge technologies such as machine learning, neural networks, and deep learning to solve complex domain problems like network monitoring, resource management. Various methods used in soft computing are neither independent of nor compete, but rather, they work in a cooperative and complementary way. Soft computing aims for tolerance of imprecision, uncertainty, partial truth, and approximation to achieve effectiveness and low solution cost. When today data has large-scale potential with many V's characteristics, the wider collaboration between smart data-centric AI methods, scalable data processing, and high-performance support is practical to face challenges in many areas. All of these advanced technologies do not have to always merge together, but the alliance is essential.
more info
year 2022/2023
- Faculty of Electrical Engineering and Informatics, Technical Uni of Košice (FEI TUKE, program: Informatics)
- Faculty of Mathematics, Physics and Informatics, Comenius Uni in Bratislava (program: Informatics)
The topic is focused on soft computing, which constructs computationally intelligent methods by combining edge technologies such as machine learning, neural networks, and deep learning to solve complex domain problems like network monitoring, resource management. Various methods used in soft computing are neither independent of nor compete, but rather, they work in a cooperative and complementary way. Soft computing aims for tolerance of imprecision, uncertainty, partial truth, and approximation to achieve effectiveness and low solution cost. When today data has large-scale potential with many V's characteristics, the wider collaboration between smart data-centric AI methods, scalable data processing, and high-performance support is practical to face challenges in many areas. All of these advanced technologies do not have to always merge together, but the alliance is essential.
more info
year 2022/2023