Amirhossein Ghasemi currently serves as an Assistant Professor at the University of North Carolina at Charlotte, where he leads innovative research at The Human-Machine Interaction and Control (THinC) Lab. His expertise lies at the intersection of control systems engineering and human-machine interaction, with a particular...
Amirhossein Ghasemi currently serves as an Assistant Professor at the University of North Carolina at Charlotte, where he leads innovative research at The Human-Machine Interaction and Control (THinC) Lab. His expertise lies at the intersection of control systems engineering and human-machine interaction, with a particular focus on designing interfaces and control architectures for semi-autonomous vehicles and unmanned systems. Dr. Ghasemi's work is pivotal in advancing the field of shared control, where he investigates the complexities of distributing control authority between human operators and automated systems. This research is critical for enhancing safety and efficiency in applications ranging from precise manufacturing machines to micro-satellites.
At THinC Lab, Dr. Ghasemi is actively engaged in several key projects that aim to develop robust control algorithms for systems that range from partially to fully automated. His research not only emphasizes the technical aspects of control and optimization algorithms but also delves into understanding the human user within a shared control framework. By integrating insights from mechanical engineering and mathematical modeling, he is pioneering new methodologies that improve human-machine interfaces, ensuring that they are intuitive and responsive to user needs.
Dr. Ghasemi's skill set is extensive, encompassing vibration control, sensor integration, and advanced modeling techniques using tools like MATLAB and SolidWorks. His commitment to fostering interdisciplinary collaboration positions him as a thought leader in the field, driving forward the development of innovative solutions that bridge the gap between human operators and autonomous systems. Through his research, he aims to enhance the reliability and performance of unmanned systems, ultimately contributing to safer and more efficient technological advancements in various industries.
