ASOL: Adaptive Systems and OPtimization Lab

ASOL: Adaptive Systems and Optimization Lab will focus on advancing real-time state estimation, control, and optimization techniques by integrating systems engineering principles with cutting-edge machine learning methodologies.

Advisors

Description

The ASOL team will focus on integrating systems engineering with machine learning to improve real-time state estimation and control. The team's main project involves developing an interactive tool using influence diagrams to enhance Kalman filtering techniques, aiming for publication. They also explore optimizing dynamic systems using machine learning algorithms under varying conditions. ASOL's goal is to advance practical methods for system analysis and optimization. Through these efforts, the team seeks to contribute to both academic research and industry applications.

Relevant Technologies

  • Machine Learning
  • Systems Engineering
  • Optimization Methods

Preferred Qualifications

  • Basic understanding of Linear Algebra

  • Programming skills in MATLAB or Python

  • GUI development skills are not required but can be helpful.