Fangzhou Xia

Dr. Fangzhou Xia

Dr. Fangzhou Xia

Massachusetts Institute of Technology

Research Scientist in Mechanical Engineering (Mechatronics Research Lab) and Phyiscs Department (Ju Lab & Jarillo-Herrero Lab)

Welcome to my academic website.


I conduct research on Mechatronics, Intelligence and Nanorobotics for Instrumentation, Medication and Automation as Dr. Xia. With the MINIMAX concept, I aim to develop MINIaturized devices to create MAXimized impacts.


My research work centers around intelligent bio/nano-mechatronic systems with aim to develop advanced capabilities with physical and computational intelligence. I have over 10 years of practical project experience in nanoscale imaging system development, ingestible electronics design, control algorithm implementation, machine learning, computer vision, smart functional materials, nanofabrication of novel transducers and meso/micro/nanoscale robotics. The interdisciplinary nature of my research gives rise to a broad range of applications including precision instruments, medical devices, smart industrial manufacturing system automation, etc. I am also very  enthusiastic about mentoring and educational outreach activities using digital learning and metaverse technology.


Thanks for your interest.

Research Interests

Recent Highlights

AFM Book

Active Probe Atomic Force Microscopy: A Practical Guide on Precision Instrumentation to be published by Springer Nature. The book provides AFM users and developers an under-the-hood look from an instrumentation perspective. https://link.springer.com/book/10.1007/978-3-031-44233-9

ASME DSCD TCV Best Paper Award

Our work for Samsung Electronics published in AIM 2023 as a paper titled "Multi-axis Active Vibration Suppression for Wafer Transfer Systems" won the American Society of Mechanical Engineering (ASME) Vibrations Dynamic Systems and Control Division (DSCD) Technical Committee on Vibrations (TCV) Best Student Paper Award.

Ingestible Electronics

Nanofabricated transducers and microfluidic pumps are intergrated into capsule style electronics. This can be used for health condition monitorning and drug delivery in the gastrointestinal tract as advanced medical devices.

AFM SMILER

AFM SMILER is A Scale Model Interactive Learning Extended Reality Toolkit for Atomic Force Microscopy Created with Digital Twin Technology. The tool can be used for both education and industrial instrument monitoring.

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Dr. Fangzhou Xia

Research Scientist

Mechanical Engineering Department

Physics Department

Massachusetts Institute of Technology