[Academic Report] Technology and Opportunity of Big Data and Artificial Intelligence




Technologies and Opportunities: Big Data and AI


2018921日星期五  9:45am-11:30am


Sep. 21st, 2018, 9:45am-11:30am




Room 104, the ground floor of OECEBuilding.




Kuan-ChingLi, The Department of Computer Science and Information EngineeringProvidence University


Inviter:SongWen Pei

Lecture content:

    Abstract: Rapid advances in the IT industryin last years have been critical to the IT revolution, driving the increase inthe processing power of cutting-edge digital technologies. Encompassed withsuch improvements in technologies to obtaining knowledge/regularity andinsights of data to create business values and making society sophisticated andbetter, Big Data and AI are changing directions and aspects in our society,from economics, business models, agriculture, health, to public management. IoTdevices and the vast amount of data produced, concurrent to the improvements ofthe supply chain, product quality and reliability, Big Data has been made essential.Pairing these technologies with Blockchain, there is potential to significantlyinterpolate all industries of the market. In this talk, we introduce associatedtechnologies rapidly adopted for Big Data and AI processing. These technologiesare helping users to augment problem-solving skills as well their ability tohandle and analyze massive datasets in cost-effective manner, to keepcompetitive with fast, actionable insights and optimized data management, togive them an edge over the competition for opportunities in high demand.



Speaker profile:

    Dr. Li is a professor at the Department ofComputer Science and Information Engineering (CSIE), and he is a SpecialAssistant to the University President as well. He is also the director of AWSAcademy(for Amazon Cloud Computing ), and the principal investigator (PI) ofNvidia GPU Research Center. He gained the Ph.D. and Mater from University ofSao Paulo, Brazil in 1996 and 2001 respectively, and finished his Post-doctoralin Department of Electrical and Computer Engineering, University of California- Irvine, California, USA in 2002.

    His research interests include GPUComputing, Cloud Computing, Big Data, Cluster Computing, Grid Computing, HighPerformance Computing, Computer Networks, Parallel Simulation and ModelingTechniques, etc. He is a Fellow of The Institution of Engineering andTechnology (IET), Senior Member of The Institute of Electrical and ElectronicsEngineers(IEEE), and the Editor-in-Chief(EIC) of International Journal ofComputational Science and Engineering(IJCSE), International Journal of EmbeddedSystems (IJES), International Journal of High Performance Computing andNetworking (IJHPCN). He is also the co-author of multiple books published bySpringer, CRC Press/Taylor&Francis、McGraw-Hill, and IGI Global etc, such as Smart Data:State-of-the-Art and Perspectives in Computing and Applications, Internet ofEverything: Algorithms, Methodologies, Technologies and Perspectives, etc.


      李冠憬教授,博士研究生导师,台湾静宜大学特聘教授且兼校長特別助理。李教授是国际工程技术学会(IET)会士、电机电子工程师学会(IEEE)高级会员、台湾云端计算学会(TACC)永久会员、美国科学促进会(AAAS)会员、福建省闽江学者、厦门大学讲座教授。他分别于1996年和2001年从巴西圣保罗大学获得硕士和博士学位,2002年在美国加州大学尔湾分校完成博士后研究。现任国际期刊InternationalJournal of Computational Science and Engineering(IJCSE) International Journal of Embedded Systems(IJES)International Journal of HighPerformance Computing and Networking (IJHPCN) 的主编,他主要从事GPU计算、云计算与大数据研究等,迄今为止已在国内外学术刊物上发表250多篇SCI/EI收录的期刊与国际会议论文,著作和编辑了20余本学术专著,由SpringerCRCPress/Taylor&FrancisMcGraw-HillIGI Global出版。