Jianping Fan      Ph.D.

Professor.Professor Fan is the dean of Shenzhen Institutes of Advanced technology, Chinese Academy of Sciences and the director of the research center for High Performance Computing. He received the Ph.D. degree from Chinese Academy of Sciences in 1990. Prior to SIAT, he had been the project leader in the Institute of Computing Technology, deputy chief engineer in the national research center for intelligent computing systems,director of national engineering center on High Performance Computing and vice director of the Institute of Computing Technology. He had been in charge of and involved in developing the Dawning 1, Dawning 1000, Dawning 3000, Dawning 4000 and other series of Dawning supercomputers. He had made outstanding contribution on helping the Downing system to be on the advanced international level. Professor Fan had been the principal investigator for more than a dozen projects of national level. He had applied more than 20 patents and published more than 100 papers and 1 book. Professor Fan has received many awards, such as outstanding award of CAS science and technology progress, first prize of the national science and technology progress award,first prize of Beijing science and technology progress award, national award for youth in science and technology and the outstanding young scientist of CAS. He has selected as the outstanding individual of 863 program, outstanding individual of the national key technologies R&D program of China during the 9th Five-Year Plan period, and State Class Persons of the Ten Million Talent Project of the New Century.


Shengzhong Feng      Ph.D.

Professor. Professor Feng is the director assistant of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He received his bachelor degree from the University of Science and Technology of China in 1991, and his Ph.D. degree from Beijing Institute of Technology in 1997. Before joining SIAT in 2009, professor Feng has worked as associate professor in the Institute of Computing technology and as visiting professor in the University of Toronto.
Professor Feng's research interest includes high performance computing, cloud computing and bioinformatics, etc. He is a member of the general expert group on The National Key Research and Development Program of HPC, committee of the high performance computing of China Computer Federation. Professor Feng, as the technology leader, is responsible for the establishment of the National Supercomputing Center in Shenzhen. He also participated in the development of Dawning series supercomputer and as the principle investigator of many national level projects, such as 863 program, NSFC projects, knowledge innovation project of the Chinese Academy of sciences, etc. Professor Feng has received many awards, such as Hundred-Talent Program (Chinese Academy of Sciences) , outstanding award of CAS science and technology progress, second prize of the national science and technology progress award and so on. He has published more than 60 research papers which are indexed by SCI/EI, and applied more than 20 patents resent 5 years.    (homepage)


Jinxing Hu      Ph.D.

Professor, Ph.D. Supervisor. 2003 graduated from the School of Earth and Space Sciences of Peking University. At present,he mainly engaged in Spatiotemporal Big Data, Smart Grid Big Data, Urban Computing, Smart City, etc. Presided over more than 20 Scientific Research Projects, Published more than 30 Papers, more than 10 Patents, more than 10 Software Product Registration.


Yanjie Wei      Ph.D.

Professor. Dr.Wei obtained his B.S. degree in applied physics from Sichuan University in 2004, and his Ph.D. degree in computational biophysics from Michigan Technological University in 2007. From Mar. 2008 to Jun. 2011, he was a postdoctoral research associate in the department of biological and chemical engineering at Princeton University. His research interests include computational biology and bioinformatics, focusing on protein folding and structure prediction, gene sequence analysis etc. Using high performance computing algorithms and optimization algorithms, he wants to solve several key issues in these areas. He has around 30 publications in high-quality journals including Proteins, BMC Bioinformatics, J. of Chemical Physics, J. of Physical Chemistry B, Oncotarget, etc. His research supported by NSFC, National High Technology Research and Development Program of China (863 program), Shenzhen Peacock Plan, Science Technology and Innovation Committee of Shenzhen Municipality.     (homepage)


Qinglan Li      Ph.D.

Supervisor of Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. She obtained her bachelor degree from Tianjin University in 1992. Qinglan had worked in Shenzhen for more than 10 years before she continued to pursue her master degree in McGill University, Canada, majoring in Environmental Engineering. After she obtained her master degree in 2006, Qinglan continued her PhD study in the University of Hong Kong, majoring in Environmental Engineering. Qinglan got her PhD degree in 2010. After graduation, she joined in AECOM, Asia, working as a senior Environmental Consultant. She took part in several climate change projects invested by Asia Developing Bank during her working in AECOM. In October, 2011, she joined in Shenzhen Institute of Advanced Technology, Chinese Academy of Science (SIAT).
Dr. Li’s current research interest includes quantitatively forecast of wind and rainfall induced by landfalling and offshore tropical cyclones; tropical cyclones’ intensity forecast; interpretation of numerical models; ensemble forecast system; global and regional climate change; Teleconnection between ENSO and regional climate. Qinglan has taken charge of several provincial and municipal research projects in the area of severe weather forecast. She has published around 30 journal and conference papers.
Dr. Li’s research work about quantitative wind and rainfall estimation due to tropical cyclones has been incorporated into the Tropical Cyclones Integrated Operational Platform of Shenzhen Meteorology Bureau, and has been frequently used in the meteorological information bulletin and weather consultation during typhoon season. Dr. Li was honored as excellent employee for three consecutive years from 2014-2016 in SIAT. She won the Innovation Award for SIAT’s ten years construction. She was the competition winner of excellent paper for 2014 Guangdong Meteorological yearly meeting.     (homepage)


Yun Zhang      Ph.D.

Associate Professor, IEEE Senior Member. He received the Ph.D. degree in computer science from Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China, in 2010. From 2009 to 2014, he was a Visiting Scholar with the Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong. In 2010, he joined in the Shenzhen Institutes of Advanced Technology (SIAT), CAS, as an Assistant Professor. Since 2012, he serves as Associate Professor.
His research interests includes multimedia communications and visual signal processing, computational visual perception, and video coding. Since 2004, he has published over 80 high quality SCI/EI papers, more than 20 of them are published on IEEE Transactions, including IEEE Trans. Broadcast. IEEE Trans. Image Process. IEEE Trans. Circuits Syst. Video Technol., IEEE Trans. Indust. Electronics, IEEE Trans. Indust. Informatics. Also, he has filed 15 CN and US patents and 10 of them are granted. 2014 Overseas High-Caliber Personnel Award (Level B), 2014 Guangdong Special Support Program for Youth Science and Technology Innovation Talents and 2015 High Level Professional Talent.     (homepage)、   (Research Group)


Yong Zhang      Ph.D.

Associate Professor, IEEE senior member. Dr. Zhang received his Ph.D. degree from Fudan University. Prior to joining SIAT, he has worked as Post-Doctoral Fellow in TU-Berlin and senior research associate in the University of Hong Kong. In recent years, Dr. Zhang has involved in many research projects including NSFC key project, 863 program, key program of CAS, etc. His research interests include design and analysis of algorithms, graph algorithms, online algorithms, distributed computing, etc. Dr. Zhang has published more than 70 research papers in refereed journals and conferences.


Ying Lin      Ph.D.

Associate Professor. She obtained her Ph.D. degree in Transportation and Geographic Information Science(GIS), The University of Tennessee at Knoxville, U.S.A. Her research interests include spatiotemporal data mining, spatiotemporal modeling and simulation, GIS for transportation, GIS for public health and time geography. In 2014, She was selected as “Peacock Plan” talent in Shenzhen. In 2016, She was selected as “Navigator Plan” talent in Nanshan District of Shenzhen. She has been the principle investigator and key personnel in a number of projects sponsored by the Natural Science Foundation of China, Natural Science Foundation of United States, National High-Technology Project (863), Guangdong Natural Science Foundation, Guangdong International Cooperation Foundation, Shenzhen Basic Research Foundation, Shenzhen Transport Committee Foundation and so on. She has published more than 30 academic articles in International Journal of Geographical Information Science, Annals of the Association of American Geographer, Journal of Transport Geography, Acta Tropica, Transportation and so on. She has applied for 18 national invention patents in China and three of them have been authorized.     (homepage)


Shuqiang Wang      Ph.D.

Associate Professor. Dr. Wang received his Ph.D. degree from the City University of Hong Kong. Prior to joining SIAT, he has worked as Post-Doctoral Fellow in the University of Hong Kong. His research interests include deep learning, machine learning, data mining, big data analysis. In 2015, he was selected as “Peacock Plan” talent in Shenzhen. Dr. Wang’s research is supported by NSFC, Guangdong Natural Science Foundation, China Postdoctoral Science Foundation, the Science and Technology Innovation Fund of Shenzhen, etc. He has published over 30 high quality SCI/EI papers, more than 20 patents.     (homepage)


Liangbing Feng      Ph.D.

Associate Professor. He received his Ph.D. degree from Yamaguchi University, Japan, in 1997. His research focuses on computer vision and machine learning. Using deep learning, He has studied on 3D object recognition, object pose estimation, object tracking and so on. These studied models are used in scene recognition and augmented reality. He has developed Intelligent Interaction Platform and Intelligent Electronic-book system based on augmented reality. He has proposed a new intelligent models, which combines Petri nets with reinforcement learning, neural networks. These intelligent models are used in robots autonomous control and so on. For studying robots control, the proposed models have been used in three robot systems control - the AIBO, Guide Dog and E-puck. He has published more than 30 research papers and 3 chapters, applied more than 20 patents in recent years.