Texas State University · Ingram School of Engineering
We build closed-loop human-robot systems: robots that continuously infer the cognitive and affective state of the people they work with and adapt their decisions in response. By coupling neurotechnology, including EEG-based brain-computer interfaces, eye tracking, and physiological sensing, with robot decision-making and learning, we let signals such as attention, workload, perceived safety, and trust directly shape how robots plan, act, and communicate. Our testbeds span collaborative manipulators, aerial robots, and social robots.
The lab is recruiting PhD students interested in robotics, brain-computer interfaces, and machine learning. See how to join.
Estimating attention, cognitive workload, intent, and trust from EEG, eye tracking, and physiological signals in real time, using machine learning models that remain reliable during natural, physical interaction with robots.
Learn more →Closing the loop between human and robot: decision-making and learning methods that use decoded human state as feedback, so robots adapt their speed, proximity, autonomy, and communication to the person in front of them.
Learn more →Characterizing how people judge the safety and trustworthiness of collaborative manipulators and aerial robots, and turning those judgments into measurable objectives for robot behavior.
Learn more →
Assistant Professor, Ingram School of Engineering
Dr. Salehzadeh’s research focuses on human-robot interaction, brain-computer interfaces, and robot decision-making and learning for adaptive, human-aware robotic systems. She received her Ph.D. in Mechanical Engineering and M.S. in Computer Science from The University of Alabama, and was previously an Assistant Professor at Lawrence Technological University.
We are recruiting PhD students with a background in mechanical, electrical, or computer engineering, computer science, or a related field, and an interest in robotics, brain-computer interfaces, or machine learning. Email your CV, transcripts, and a short note on the research you would like to do, with the subject line “Prospective PhD student.”
Email Dr. SalehzadehTexas State students who want hands-on research experience with robots, drones, EEG, or machine learning are welcome to reach out. Send your CV and a few sentences about what interests you.
Get in touchOffice
IGRM 4311
Address
Ingram School of Engineering
Texas State University
San Marcos, TX