Kemal Uçak

Kemal Uçak serves as an Associate Professor in the Department of Control and Automation Engineering at Istanbul Technical University, specializing in advanced control systems and machine learning integration. His research bridges theoretical control engineering with practical applications in nonlinear dynamical systems.

Research Interests:

• Development of adaptive controllers for nonlinear systems using machine learning techniques
• Integration of support vector regression with classical control frameworks
• Fuzzy logic applications in MIMO control systems
• Novel observer designs for system state estimation
• Hybrid optimization approaches combining evolutionary algorithms and gradient-based methods

His publication trend demonstrates consistent innovation in control theory, with recent works focusing on Runge-Kutta based adaptive controllers, LSSVR-integrated optimal control, and fuzzy PID systems. These contributions primarily advance nonlinear control methodologies applicable to industrial automation and robotics.

Current Research Activity:

• Principal Investigator for the active project "Runge-Kutta and Machine Learning Based Adaptive Controller Architecture for Nonlinear Systems" (2024-2026)
• Collaborations spanning computational intelligence and control engineering domains
• Development of model-free control strategies reducing dependency on system identification