Leading Organizers:
Ruogu Fang
Bin Sheng
Co-Organizers:
Clinical Collaborators:
Hongyu Kong
Gavin Tan
Huating Li
Qiang Wu
Weiping Jia
Technical Team:
Peng Liu
Chao Dai
Yaxin Shen
Kun Zhu
● J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL. USA
● The Artificial Intelligence Institute, Shanghai Jiao Tong University, China.
● Department of Computer Science and Engineering, Shanghai Jiao Tong University, China
● Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India
● Centre of Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS, Malaysia
● Center for Precision Health, University of Texas Health Science Center at Houston, USA
● INSERM, UMR 1101, Brest, France
● ImViA/IFTIM, Université de Bourgogne, Dijon, France
● Department of Ophthalmology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China
● Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Diabetes Institute; Shanghai Clinical Center for Diabetes, Shanghai 200233, China
● Shanghai Zhi Tang Health Technology Co., LTD., China
● Singapore National Eye Centre, Singapore
● Hongyu Kong
{[email protected]}
● Ruogu Fang
{[email protected]}
● Prasanna Porwal
{[email protected]}
● Jiaying Li
{[email protected]}
Weiping Jia is Professor of Shanghai Jiao Tong University, Immediate Past President of Shanghai Sixth People’s Hospital (2010-2018) and Director of Shanghai Clinical Center for Diabetes. Dr. Jia also serves as the Immediate Past President of Chinese Diabetes Society (2016-2018), the Director of National Office for Primary Diabetes Care, Chief Editor of Chinese Journal of Internal Medicine, Associate Editor of Diabetes Research and Clinical Practice, as well as editorial board members of Lancet Diabetes Endocrinology. She is the chief editor of the Chinese National Guideline for Prevention and Treatment of Type 2 Diabetes Mellitus (2017 Edition) and the Chinese National Guideline for Primary healthcare of Diabetes (2018 Edition).
Her research interest includes the diagnosis, monitoring and genetic risk factors of diabetes and abdominal obesity. She established new diagnostic standards for diabetes and abdominal obesity for Chinese, discovered genetic susceptibility for type 2 diabetes in Chinese and established the normal standard of continuous glucose monitoring. She has published over 250 research articles in international journals, including BMJ, Lancet Diabetes Endocrinology, JACC, Diabetes, Diabetes Care, Diabetologia, JCEM and AJP, etc. Her research has been funded by National Natural Science Foundation of China (NSFC), National Basic Research Program of China, Hi-tech Research and Development Program of China, and European Association for the Study of Diabetes (EASD). She is the Co-PI of research projects funded by the National Institute of Health (NIH) in USA. From 2015, she is the PI of Construction of Prevention and Treatment of Diabetes Healthcare System in Shanghai, the largest community-based diabetic complication screening program in China which covers over 200,000 patients.
The Xiaoren Pan Distinguished Research Award for Epidemiology of Diabetes in Asia, National Science and Technology Awards on "Pathogenesis, clinical diagnosis and treatment of type 2 diabetes", National Ministry of Health "Wu Jieping-Paul Jessen Medical & Pharmaceutical Award", Chinese Group of Insulin Secretion "Servier-Insulin Secretion Achievement Award" and National Outstanding Scientist and many other awards.
A health data scientist, Ruogu Fang is an Assistant Professor in the J. Crayton Pruitt Family Department of Biomedical Engineering at University of Florida. Her research spans data, brain and health. She focuses on questions such as: How to evaluate brain health, via mining the big medical data? She also explores how to make medical imaging higher quality and lower risk for the broad population. Fang's current research is rooted in the big medical data and brain dynamics understanding. She is the recipient of the single-PI NSF CRII Award, Best Paper Award from IEEE International Conference on Image Processing, Ralph Lowe Junior Faculty Enhancement Award from ORAU, and Robin Sidhu Memorial Young Scientist Award from Society of Brain Mapping and Therapeutics, among the others.
Fang teaches courses such as "Machine Learning", "Data Mining" and "Computer Applications to Biomedical Engineering". She also runs SMILE lab, standing for Smart Medical Informatics Learning and Evaluation, which also reflects for her expectation for every member in the lab to smile while exploring the human brain with big data.
Chief Physician, Department of Ophthalmology, Sixth People's Hospital, PhD,
Doctor of Ophthalmology
Member of the Shanghai Medical Association Ophthalmology Specialist Committee and member of the cataract group
Shanghai Health Bureau scientific and technological achievements review experts.
Doctor, deputy director of computer application research institute, department of computer science, Shanghai jiaotong university, doctoral supervisor, associate professor.
In 2011, he received his PhD in computer science and engineering from the Chinese university of Hong Kong.
Visiting professor, sungkyunkwan university, South Korea.
Shanghai "pujiang talent plan" winner.
Associate Editor of IET Image Processing, a famous SCI periodical in the field of Image Processing.
At present, more than 100 academic journals and conference papers have been published and accepted.
CEO of Shanghai zhitang health technology Co., LTD.
Chief technical consultant of Shanghai xinyan medical technology partnership.
Master of computer science and technology, east China university of science and technology.
Member of Shanghai youth entrepreneurship association.
Dr Kong Hongyu
Department of Ophthalmology, Affiliated People's Hospital, Shanghai Jiao Tong University
M.D.of West China School of Medicine(Eight-year Program)/West China Hospital, Sichuan University
Postdoc of Singapore Eye Research Institute, Duke-NUS Medical School, National University of Singapore
A Ph.D. candidate in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida, co-advised by Prof. Ruogu Fang and Prof. Mingzhou Ding.
His research interests include:
(1) Biological evolution-inspired automated machine learning (AutoML), with applications to automated medical image analysis.
(2) Biological neuron behavior-inspired deep learning, with a focus on building a robust AI system in computer-aided diagnosis.
(3) AI-inspired cognitive neuroscience, with a focus on understanding and modeling emotion cognition mechanism.
At present, he published around 10 top journals and conference papers. He owns one US patent. He, in collaboration with Shanghai Jiao Tong University and Shanghai No. Six Hospital in China, won two first-place awards at the Diabetic Retinopathy Segmentation and Grading Challenge (IDRiD) organized by the premier International Symposium on Biomedical Imaging (ISBI) 2018. His automated algorithm for glaucoma detection and optic disc/cup segmentation on retinal fundus images was ranked one of the top solutions presented at the REFUGE challenge in the MICCAI 2018 conference in Granada, Spain.
Previous working experience:
(1) Research assistant at High-performance Database Research Center Lab at the Florida International University, Miami, Florida, USA 2013 – 2015.
(2) Senior software engineer and technology director at Beijing Nantian Software Co., LTD., Beijing, China, 2007 - 2013.
Website: RocMind.com
Dr Gavin Tan
MBBS, MMED, FRCSEd, FAMS, PHD
Senior Consultant, Surgical Retina
Clinical Director , SNEC Ocular reading centre
Head, SNEC Ophthalmic Imaging Dept
Singapore National Eye Centre
Dr Huating Li got her PhD in Shanghai Jiao Tong University School of Medicine on 2011.
She received clinical rotation in 2011-2013 and Postdoctoral training in the University of Hong Kong from 2014 to 2016.
She is now the Associate professor of Shanghai Jiao Tong University School of Medicine, and an attending doctor of Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital.
Her research interest is biomarkers and the role of cytokines in the metabolic disorders including NAFLD, obesity, diabetes and complications.
She has published paper on Nature Communications, Journal of Hepatology, Diabetes，Diabetes Care, Journal of Clinical Endocrinology and Metabolism, et al.
Yaxin Shen
I am a graduate student in Shanghai Jiao Tong University majoring in computer science.
My research interests are in the areas of computer vision, medical image analysis.
In 2018 ISBI IDRiD challenge, I won the first prize in both Optic Disc and Fovea localization tasks as the team leader.
Kun Zhu
Software development engineer of Shanghai zhitang health technology co., LTD
Senior front-end development engineer