Current Research

Non-Parametric Control (NPC) Methods

Supervisor: Prof. Enrique Mallada

Focus: Developing efficient, resilient systems for real-time applications using NPC. This method leverages expert trajectories for adaptive decision-making, emphasizing low-latency responses and computational simplicity to tackle dynamic and unpredictable environments.

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Past Research

Data-Driven Control Systems

Institution: K. N. Toosi University of Technology

Role: Research Assistant

Description: Investigated applications of machine learning techniques in control systems and optimization algorithms. Contributed to the book An Introduction to Data-Driven Control Systems and authored the paper Comparative Analysis of Data-Driven Predictive Control Strategies.

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