Jiao, Bingli
Professor
Research Interests: Communication theory and practice and m-healthcare
Office Phone: 86-10-6276 3003
Email: jiaobl@pku.edu.cn
Jiao, Bingli is a full professor in the Department of Electronics, School of EECS, and has served as the Director of Wireless Communications and Signal Processing Research Center since 2011. He obtained his MS from Peking University in 1988, and Ph.D. from University of Saarland, German in 1995 respectively. His research interests include communication theory and practice and m-healthcare.
Prof. Dr. Jiao has published more than 100 research papers, and most of them are published in top-tier conferences and journals, such as IEEE JSAC, TCOM, TWC, TVT, ICC VTC, and GLOBECOM, which has been cited more than 800 times and won the Leonard G. Abraham Prize and Best Paper Award. He is serving as the Director of Digital Hospital Engineering Center, E.M, China, and leading a team consisting of two largest Chinese hospitals, a Chinese communication institute and a Group Company for planning R&D projects for the next 5 years on Medical Internet of Medical Things. He is a senior member of IEEE, the Chair of IEEE VTS Beijing Chapter, Associate Editor of Access, IEEE, and Director of joint laboratory of advanced communication research with Princeton University.
Dr. Jiao has commissioned more than ten research projects including NSFC, 973 programs, 863 project, etc., and accumulated rich experience in interdisciplinary research. His research achievements are summarized as follows:
One of his Major contributions is the Co-frequency and Co-time Full Duplex (CCFD). In 2006, Professor Bingli JIAO, Peking University, and William Y.C. LEE, a well-known expert in wireless communications, filed a patent entitled by “the inference cancelation technique for Co-frequency and Co-time Full Duplex (CCFD), which was authorized in 2010.
In 2012, Peking University team achieved an indoor system of CCFD point to point communication and paved the way for CCFD’s application in indoor WLAN, Femto-cell and other systems. In the November of the same year, Peking University developed a long-range CCFD demonstration system, which allows bi-directional communication of the two nodes over 500-meter separation in distance. In addition, his team performed a networking demo of CCFD that uses beamforming technique to nullify the inter-cell-interference of the UP channel. The demo was showed in 2015 NGMN for two cells working CCFD model. This will make a significant contribution for CCFD to work with 5G system.
The other of his major contribution is in the field of m-healthcare, Dr. Jiao carries out continuous frontier research on information science, medicine and other cross-cutting areas, and commitments to a large number of national scientific research tasks, who has made a series of significant academic impact of research, development and application of results.
1) Prof. Dr. Jiao leading the team has achieved technological breakthrough in medical grade wearable equipment, mobile Internet-based health service platform and early warning technology of acute/chronic disease surveillance combined with intelligent signal processing and large data technology. They developed 12-lead medical level mobile ECG health Card, the current minimum and thinnest; smart sphygmomanometer, smart belt, smart weight meter, smart diaper wet and other health management medical grade intelligent hardware terminal, in line with IEEE11073 standard; a variety of intelligent algorithms of mobile digital medical system service platform, including healthy APP integrated intelligent cloud doctor's multi-parameter&multi-service model, and MR-SVM ECG algorithm, Manifold-based ECG algorithm, large data-based of cardiovascular risk assessment algorithm, VCG-based myocardial infarction Algorithm, machine learning-based left ventricular hypertrophy detection and so on. The research and breakthrough of above key technology provides critical technical support to promote the diagnosis and treatment process from traditional medicine to the new mobile digital medical service model of introduction of medical and intelligent medical transition.
2) Medical Nomenclature Extraction and Medical Knowledge Atlas Construction at the base of Electronic Medical Records. The results of this study have solved the difficulty of extracting structured information from unstructured data, realized the automatic identification, attribute extraction of entities and the intelligent identification of the entity relationship, such as disease name, name of disease, drug name, medical examination, medical name and so on, with high accuracy. Through the innovative structure expressing method and construction method of knowledge, they achieved the construction of medical knowledge map network that has been used in the Department of Cardiology of many top three hospitals, which achieved good application effect and the relevant technology in the leading domestic level.
On the basis of overcome key technologies, he has formed some practical systems for demonstration, which provide effective support to explore a new type of medical service model, and enhance disease prevention and health management capacity.
