Sahand Tangerami

I hold an M.Sc. in Mechanical Engineering from K. N. Toosi University with several years of experience collaborating with international research teams in the United States.

I am a research-oriented control engineer working at the intersection of control theory, optimization, and learning-based methods for complex dynamical systems. My background spans from classical and modern control to data-driven and intelligent control approaches, with strong emphasis on bridging theoretical analysis and real-world implementation. I have worked on motion control and state estimation problems in autonomous and robotic systems, including aerial and ground platforms, using advanced control techniques. My research experience includes model predictive control, data-driven modeling, and real-time control under practical constraints. I have gained practical experience in cybersecurity within robotics and in optimizing the performance of reservoir computing models for modeling applications. Currently, my work focuses on developing a learning-based controller by integrating attention mechanisms into reservoir computing models, as well as combining reinforcement learning with model predictive control to enhance safety, adaptability, and performance in autonomous vehicles. All my projects have been implemented using MATLAB, C++, or Julia.