Regular biography
Amin Arbabian is a Professor in the Department of Electrical Engineering at Stanford University. His research focuses on intelligent sensing systems that integrate hardware, signal processing, and machine learning to enable applications in autonomy, healthcare, and environmental monitoring. His work spans multi-physics and multi-disciplinary approaches, combining RF, ultrasound, and optical modalities to develop novel sensing technologies. Arbabian's lab explores systems for physical AI, biomedical applications such as continuous health monitoring, and environmental sensing for marine and agricultural systems. His research emphasizes co-designing sensing and compute architectures for efficiency and scalability.
Scholar-generated biography
Amin Arbabian is a researcher at Stanford University specializing in integrated circuits, RFIC, mm-wave, biomedical, and imaging technologies. His work focuses on developing compact, low-power, and high-performance systems for biomedical applications, including implantable devices, ultrasonic power transfer, and wireless data links. He has published extensively on mm-wave transceivers, implantable medical devices, and advanced imaging systems. His research also explores the design of efficient ultrasonic power links and the integration of biomedical imaging with high-frequency communication technologies. Arbabian's contributions span from circuit design to system-level analysis, emphasizing miniaturization and energy efficiency in medical and communication applications.