Dongjin (DJ) Seo
(DJ) Seo is a UC Berkeley EECS Graduate Student Researcher.
DJ earned his B.S. degree in electrical engineering with honors from the California Institute of Technology, Pasadena, in 2011. He is currently working toward his Ph.D. degree in electrical engineering at the University of California Berkeley, under the guidance of Professor Elad Alon and Professor Michel Maharbiz.
His research interests generally lie in the topics that intersect electrical engineering, applied physics, and bioengineering. He is currently exploring the realms of low-power integrated circuit design, biosensor/circuit interfaces, and next-generation wireless circuits and systems for communication.
DJ’s current intellectual focus is on these following projects:
- Neural dust for chronic brain-machine interfaces: A major hurdle in brain-machine interfaces (BMI) is the lack of an implantable neural interface system that remains viable for a lifetime. DJ proposes deployment of thousands of ultra-miniature, ultrasound-based neural recording motes (he calls them neural dust) in the brain to monitor neural signals in real-time. This framework has the potential to enable massive scaling in the number of neural recordings from the brain while providing a path towards truly chronic BMI. This work is in collaboration with Professor Jose Carmena and Professor Jan Rabaey.
- eWallpaper for communication and imaging: The ever-increasing demand for computational power has necessitated multiple portable devices to be synched. In this project, DJ hopes to remove processing power from these devices and rather embed it within the environment. He hopes to integrate hundreds and thousands of CPUs and RF transceivers, connected in 2D mesh networks within roll-to-roll wallpaper for communication and imaging applications. This work is in collaboration with Professor Ana Arias and Professor John Wawrzynek.
- eBandaid to improve tissue growth and healing: By exploiting the native electrical field gradient that forms at the injury site, DJ intends to create miniaturized, interactive bandages to provide a high degree of direct and spatiotemporal control over the wound fields to accelerate the healing process. This project is in collaboration with Professor Shuvo Roy at UCSF.