Ing. David Bernhauer, Ph.D.

Projects

Algorithms and Techniques of Knowledge Engineering: from theory to practical applications

Program
Studentská grantová soutěž ČVUT
Code
SGS23/210/OHK3/3T/18
Period
2023 - 2025
Description
The project focuses on a broad area of basic research on algorithms, concepts and techniques in knowledge engineering. This is a promising and constantly expanding field both in terms of theoretical research and in terms of potential for practical applications. At the same time, the area of the project is experiencing an extreme increase in complexity due to the amount of data and the diversity of techniques that are trying to deal with this trend. The central interest of the project will specifically be methods in data processing, extraction of information-rich data from data and automatic search for explanations for phenomena that occur in the data. A burning problem of current artificial intelligence focused on knowledge processing is the limited ability or inability to provide an explanation leading to a certain decision. As a result, decisions often cannot be traced back to their origin, which makes debugging difficult and reduces the credibility of the system. This question will therefore be reflected throughout the entire project through all sub-themes. It is a doctoral project covering the diverse research interests of the doctoral student members, but providing a general supporting question that intertwines across sub-themes. The project specifically intends to develop algorithms and techniques in neural networks, evolutionary algorithms, image and text processing, and motion information processing, from basic theory to practical applications. The project immediately follows the ending SGS project on modern algorithmic techniques for knowledge engineering.

Modern Algorithms and Techniques of Knowledge Engineering

Program
Studentská grantová soutěž ČVUT
Code
SGS20/213/OHK3/3T/18
Period
2020 - 2022
Description
The project focuses on research of modern algorithms and techniques in knowledge engineering in a broader sense. The topic of the project represents a promising and constantly expanding area both in terms of theoretical research and in terms of potential for practical applications. In particular, the project will focus on methods in data processing, extraction of information-intensive knowledge from data, and automatic search for explanations for phenomena occurring in the data. The important issue of contemporary artificial intelligence focused on knowledge processing is the limited ability or inability to give explanations leading to a certain decision, and thus often the decision cannot be formally supported and justified. The whole project through all sub-themes will therefore reflect this question. This is a doctoral project covering the diverse research interests of PhD students, but providing a general underlying question that encompasses all sub-themes. The project specifically aims to develop algorithms and techniques in neural networks, evolutionary algorithms, image and text processing, and motion information processing. The project is a direct continuation of a finishing SGS project from data processing area.