The members of our department are mainly active in three interlinked foundational disciplines of theoretical computer science: mathematical logic, computational complexity, discrete mathematics.
Theoretical computer science makes use of mathematical methods to describe, understand and analyze various aspects of computing and computer science in general.
The ever growing computational power of the available computers increases the size of problems computer science can and wants to address and creates opportunity to tackle new challenges. The new effective methods for processing, structuring, describing, and reasoning with the real-life information/data are developed and TCS not only aims at being part of this development but also at providing a deeper understanding of underlying foundational phenomena.
Logic: developing and applying non-classical logics for reasoning, in both natural and artificial scenarios, with the real-life information, which is often uncertain, graded, or even contradictory and changing in time.
Computational complexity: deepening our knowledge of relations among complexity classes and investigating the standard and non-standard computational models considering both the usual complexity measures like time and space and new ones related to current technological challenges.
Discrete mathematics: exploring extremal graph theory and applied number theory and using the achieved results in cryptography, theory of computing, and the study of randomness.
To pursue our vision we perform frontier foundational research with the aim to broaden the repertoire of approaches that are considered standard in our respective areas. Our present research focus can be best described by the following keywords:
Logic: Mathematical Fuzzy Logic, Substructural Logics, Vagueness, Paraconsistent Logic, Logic and Reasoning, Graded notions, Dynamic and Non-Monotonic Logic, Modal Logic, Abstract Algebraic Logic, Complexity of Non-Classical Logics
Computational complexity: Branching Programs, Neural Networks, Boolean Functions, SAT Problem Preprocessing, Logical Descriptions of Computation, Non-Standard Positional Numeral Systems
Discrete mathematics: Extremal Graph Theory, Regularity Method, Probabilistic Method, Limits of Graphs, Random Graphs, Combinatorial and Algebraic Methods in Number Theory, Uniform Distribution of Numerical Sequences, Cryptology
