The Bio-Microelectronics and Healthcare Group wasestablished in February 2019to meet the development of interdisciplinary researches. It speeds up the miniaturization and integration of medical electronic equipment, particular as follows: (1) By means of nanotechnology and micro-electro-mechanical system (MEMS), biological and medical sensors are progressing forwards to the multi-sensor integration, fusion and intelligence; (2) Large-scale integrated circuit design technology significantly promotes implantable electronic systems; (3) The information processing technology diversifies medical surveillance, and makes the monitoring system miniaturized, lightweight, integrated, and remoted.

To adapt the new generation of bio- microelectronics, the research of the laboratory mainly branches into artificial intelligence algorithms, implantable systems, bio-microfluidic chips and systems, and smart healthcare. Among them, artificial intelligence algorithms focus on the development needs of artificial intelligence, specially machine learning and deep learning, biometric recognition, distributed optimization and random control, intelligent perception and edge computing, brain-like intelligence and other issues; as an electronic device embedded in the human body and organism for direct measuring or controlling, implantable systems convert the physiological information to electronic information with the research on biomedical signal processing, high-performance cochlear implants, and intelligent sensing mainly involved. Bio-microfluidic chips and systems intend to realize the accurate, rapid, and vast-information detection of cells, proteins, DNA and other biological substances, consisting of the transport, detection and identification of single nanoparticles in nanofluidics, the physical communication mechanism of soft matter waveguide and neuro-electromagnetics, and highly-sensitive and tunable terahertz biochemical sensors. Smart healthcare mainly researches medical electrophysiology, big-data processing for images, intelligent diagnosis, brain-computer interface and neuroregulation.