2019台灣生技月 Bio Taiwan 生物科技大展

2019 台灣生技月 南港展覽館

講師

Simon See

Session 2 – AI for Biotech & Healthcare
Date: 24 July (Wednesday)  14:00 – 18:00
Venue: 3F, Bldg. A, CTBC Financial Park, Ballroom B


 
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Simon See

Director and Chief Solutions Architect
SAE and NVIDIA AI Technology Center
Prof (Adjunct), SJTU, KMUTT and NTU

 
Simon See
Director and Chief Solution Architect
Nvidia AI Technology Center
 
Chief Scientific Computing Officer and Professor
Shanghai Jiao Tong University
 
Professor
Beijing University of Posts and Telecommunications (BUPT)
 
Professor (Adjunct) KMUTT and NTU (Singapore) and Universitas Indonesia (UI)


Professor Simon See is currently the Solution Architecture and Engineering Director and Chief Solution Architect for Nvidia AI Technology Center.   He is also a Professor and Chief Scientific Computing Officer at Shanghai Jiao Tong University, Professor in Beijing University of Posts and Telecommunications (BUPT), and Professor in Universitas Indonesia (UI).   He is being conferred as a Distinguished Fudan Scholar in September 2018 by Fudan University, Shanghai, China.  Previously Professor See is also the Chief Scientific Computing Advisor for BGI (China) and has a position in Nanyang Technological University (Singapore) and King-Mong Kung University of Technology (Thailand).  Professor See is currently involved in a number of smart city projects, especially in Singapore and China.  His research interests are in the area of High-Performance Computing, Big Data, Artificial Intelligence, Machine Learning, Computational Science,  Applied Mathematics and Simulation Methodology.    Professor See is also leading some of the AI initiatives in the Asia Pacific. He is a Steering Committee member of NSCC’s flagship High Performance Computing Conference Supercomputing Asia (SCA) since March 2018.. He has published over 200 papers in these areas and has won various awards.
 
Professor See is also the member of SIAM, IEEE, and IET.   He is also the committee member of more than 50 conferences.
 
Dr. See graduated from the University of Salford (UK) with a Ph.D. in electrical engineering and numerical analysis in 1993.   Prior to joining NVIDIA, Dr. See worked for SGI, DSO National Lab. of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems and Oracle.  He is also providing consultancy to a number of national research and supercomputing centers.

 
Session Speech Title & Synopsis:
AI Computing for Medical Images
 
As imaging equipment become accessible, the growth of volume medical images are exponential.  Furthermore, there are lots of new techniques to automatically extract features and information from the images.  In this talk, the author gives an overview of the approaches of AI computing for new AI techniques for medical images.
 

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