network
Stochastic Systems and Control Laboratory
Many practical problems in control engineering, communication systems, and statistical machine learning domains involve random phenomena or require handling randomized algorithms. We investigate such problems by applying rigorous probability theory. Particular application scenarios range from wireless networked control, Internet of Things, and cyber-security of control systems to artificial intelligence, data analysis, and automated driving systems.
College of Engineering Innovative Global Program
/ Graduate School of Engineering and Science（Master's Program） Global course of Engineering and Science
/ Graduate School of Engineering and Science（Doctor's Program） Functional Control Systems Course
- Faculty Name
- CETINKAYA, Ahmet
- Keyword
- Control theory,Statistical machine learning,Communication systems,Probability theory
This lab is for this SDG activity:
STUDY FIELDS
- Control systems
- Machine learning
- Probability theory
RESEARCH THEMES
- Learning-based and data-driven control
- Randomized algorithms in control and learning
- Cybersecurity of networked control systems
