Amin Arbabian

Amin Arbabian is an Associate Professor in the Department of Electrical Engineering at Stanford University. His research spans biomedical devices, sensing systems, and Internet of Things (IoT) technologies, with a focus on wireless power transfer and miniaturized sensor design.

Education:

• BSc in Electrical Engineering, Sharif University of Technology (2005)
• MSc in Electrical Engineering and Computer Sciences, UC Berkeley (2007)
• PhD in Electrical Engineering and Computer Sciences, UC Berkeley (2011)

Arbabian's lab specializes in end-to-end design of RF/microwave systems for medical implants, sensing interfaces, and terascale IoT networks. Key projects include ultrasonically powered implants for neural stimulation and drug delivery, mm-wave radar systems for gesture recognition, and ultrasound wake-up radios for ultra-low-power IoT devices.

His recent publications highlight advancements in wireless neural implants, adaptive radar sensing, and photoelastic modulation for time-of-flight imaging. These works span disciplines including Electrical Engineering, Biomedical Engineering, and Applied Physics.

Scientific Awards:

• Best Student Paper Award, ISSCC 2018
• Best Student Paper Award, PIERS 2015
• 1st Place Best Paper Award, 2016 IEEE Biomedical Circuits and Systems Conference
• Best Student Paper Award, SPIE Security and Defense 2016

Arbabian collaborates with Stanford faculty in Chemistry, Comparative Medicine, and Radiology. His lab's funding sources include NSF, DARPA, NIH, ARPA-E, and ONR. The group also explores industrial applications like semiconductor manufacturing optimization with AI-driven digital twins.