Hello! My name is Zach Kaufman and I am an Accelerated Masters student studying Intelligent Systems Engineering. I have been working as a Research Assistant since September of 2020 in the R-House Human-Robot Interaction lab and started working in the Socioneural Physiology lab in Spring 2023. My research has primarily focused on robot perception (using methods in computer vision and wearable sensors) for assistive robots being used with elderly adults, children, and in healthcare. I am hoping to go on to get a PhD in Robotics after graduating and continue to research assistive robots for mental health.
I am currently applying to a variety of PhD programs to further pursue my research interests, as well as internships to give me valuable industrial experience.
At this time I hold a Graduate Assistantship for the Luddy Living Learning Center, a Research Assistant position in the R-House Human-Robot Interaction lab, and a Research Assistant position at the Socioneural Physiology Lab all of which are at Indiana University Bloomington.
My research aims to design Socially Assistive Robots (SAR) for assisting in the diagnosis, treatment, and management of mental health disorders by developing deep learning perception models for use with non-invasive and wearable sensors to understand human physiological responses to interaction with robots. Additionally, I will explore novel methods of interacting with SARs using Virtual/Augmented Reality, fabrication, and unique visual and auditory stimuli, with the goal of adapting robots to the needs of those with mental health disorders.
Personal Email: [email protected]
School Email: [email protected]
LinkedIn: @zckaufman
GitHub: @ZCKaufman