Research Interests: My research interests generally lie in the topics that intersects electrical engineering, applied physics, and bioengineering. Particularly, I am currently exploring the relams of low-power integrated circuit design, biosensor/circuit interfaces, and next-generation wireless circuits and systems for communication.Job Interests: Academic, industry R&D, or start-up
Dongjin (DJ) Seo is currently pursuing his PhD in Electrical Engineering with an emphasis on low-power integrated circuit design and brain-machine interfaces. He received the B.S. degree in Electrical Engineering with honors from the California Institute of Technology in 2011. At Caltech, DJ designed and fabricated microfluidic calorimeters for high-throughput biochemical measurements at the Kavli Nanoscience Institute and for his undergraduate thesis, demonstrated the world’s first all-silicon THz imaging system in CMOS for security imaging and microscopy of biological specimens. DJ has also completed internships at Jet Propulsion Laboratory and Altera Corporations. DJ is the recipient of a NSF Graduate Research Fellowship.
Neural Dust: An Ultrasonic, Low Power Solution for Chronic BrainMachine Interfaces [BPN716]
A seamless, high density, chronic interface to the human brain is essential to enable clinically relevant applications such as brain- machine interfaces (BMI). Currently, a major hurdle in BMI is the lack of an implantable neural interface system that remains viable for a lifetime due to the development of biological response near the electrode. Recently, sub-mm implantable RF-based wireless neural interfaces have been demonstrated in an effort to extend system longevity, but the implant size scaling (and therefore density) is ultimately limited by the power available to the implant. Therefore, my project investigates an entirely new method of wireless power and data telemetry using ultrasound, which can address fundamental issues associated with using RF to interrogate miniaturized implants, and enable scaling of implants down to 10's of um. Such ultra-miniature as well as extremely compliant implantable neural interface (we call neural dust) has the potential to allow massive scaling in the number of neural recordings from the brain while providing a path towards truly chronic BMI.