Welcome to the official GitHub organization for the Nonlinear Systems and Control group at the Department of Electrical Engineering and Automation, Aalto University.
Our group is led by Assistant Professor Shankar A. Deka.
The research interest of the Nonlinear Systems and Control group lies at the intersection of Control Theory and Machine Learning.
We aim to synergistically combine tools from nonlinear systems, stability theory, robust & optimal control along with machine learning and optimization techniques. Our primary goal is to create intelligent systems with provable guarantees on safety and performance.
As autonomous systems become ubiquitous—from self-driving cars and medical robots to AI assistants—our work addresses the critical need for safe and intelligent behaviors by carefully analyzing system architecture, feedback, uncertainties, and other problem-specific considerations.
Our research focuses on a variety of domains and applications:
- Core Methodologies: Applying principles from dynamical systems to enhance the robustness of neural netowrks and learning algorithms in control applications.
- Application Domains:
- Medical and Rehabilitation Robotics
- Precision Agriculture
- Multi-agent Systems with Human-in-the-loop
- Cyber-physical and Robotic Systems
We are actively looking for motivated PhD and Postdoc candidates with a strong background in Machine Learning and Mathematical Control Theory.
Shankar A. Deka
Assistant Professor
shankar.deka@aalto.fi
