Christos Mavridis
Univ.Ass. / PhD
Research Areas
- Artificial Intelligence (Machine Learning, Cognitive Science), Human-Machine Interaction, Human-centered AI, Machine Learning and Optimization, Dynamic Optimization (Optimal Control Theory and Dynamic Games), Cyber-Physical Systems
About
Inference and control of Cyber-Physical-Human Systems with focus on the analysis of learning algorithms using principles from hybrid systems theory, homotopy optimization and bifurcation theory, robust and risk-sensitive control, group-invariant and hierarchical topologies, knowledge representation and reasoning.
Role
-
PostDoc Researcher
Cyber-Physical Systems, E191-01
Courses
2026W
- Bachelor Thesis for Computer Science and Business Informatics / 182.715 / PR
- Computer Engineering Practical / 191.005 / PR
- Computer Engineering Project / 191.006 / PR
- Project in Computer Science 1 / 191.008 / PR
- Project in Computer Science 2 / 191.009 / PR
- Seminar Computer Engineering / 182.760 / SE
- Seminar for PhD students / 182.008 / SE
- Stochastic Foundations of Cyber-Physical Systems / 182.763 / VU