Areas of Expertise

  • Computable analysis
  • Effective descriptive set theory
  • Game theory and CS

Publications

  1. & Minkowski Games. ACM Transactions on Computational Logic
  2. & Weihrauch-completeness for layerwise computability. Logical Methods in Computer Science 14(2)
  3. & On the algebraic structure of Weihrauch degrees. Logical Methods in Computer Science
  4. & Extending finite-memory determinacy to multi-player games. Information and Computation
  5. & Comparing Representations for Function Spaces in Computable Analysis. Theory of Computing Systems

See more...

Teaching

  • CSCM68 Embedded System Design

    Embedded systems are information processing systems embedded into enclosing products such as cars, telecommunication or fabrication equipment. They are essential for providing ubiquitous information, one of the key goals of modern information technology. The aim of this module is to provide an overview of embedded system design, to relate the most important topics in embedded system design to each other, and to obtain an appreciation of the model based approach to embedded systems design. The lab provides hands-on experience in the design of embedded systems, based on the Lego-Mindstorms kit. Awareness of logical concepts (propositional logic, first order logic) will help the understanding of this module. Due to the lab, the number of places available for this module is limited. Places will be allocated during the first week of teaching; the allocation criteria will be announced in the first lecture.

  • CSCM70 Mathematical Skills for Data Scientists

    This course is an introductory course to the mathematical methods needed by a data scientist. It covers the basics of algebra, optimisation techniques, statistics, and Fourier analysis. The main goal of the class is for students to gain practical experience of the mathematical methods and tools that are essential in data science and that will be used in the other modules of this programme. The module is aimed at students with basic experience in mathematics.

Supervision

  • Model counting using SAT with special interest on chess board related problems. (current)

    Student name:
    MSc
    Other supervisor: Dr Oliver Kullmann