|
报告人学术简历 |
Kuan-Ching Li is currently a Distinguished Professor in the Department of Computer Science and Information Engineering at the Providence University. He is a recipient of achievement awards and funding support from several agencies and high-tech companies like Nvidia, AWS, and Intel, frequently acts as a consultant to companies and organizations, also received distinguished chair professorships from universities in China and other countries. In addition, he is a Policy and Scientific Committee member of the European Privacy Association (EPA) and a member of the Board of Directors of the Taiwan Association for Cloud Computing (TACC). Dr. Li has been actively involved in many major conferences and workshops in program/general/steering conference chairman positions and as a program committee member and has organized numerous conferences related to high-performance computing and computational science and engineering.
He is the Editor-in-Chief of technical publications International Journal of Computational Science and Engineering (IJCSE) and International Journal of Embedded Systems (IJES), published by Inderscience, and serves as associate editor, editorial board member and guest editor for several high ranked leading journals. Besides the publication of over 200 journal and conference papers, he is the co-author/co-editor of more than 25 technical professional books published by CRC Press/Taylor & Francis, Springer, McGraw-Hill, and IGI Global. His topics of interest include GPU/ /Cloud/Edge computing, Big Data, and emerging technologies/applications. He is a Senior Member of the IEEE (美国电气电子工程学会高級会员), and a Fellow of the IET (英国工程技术学会会士). |
|
报告内容
框架 |
Rapid advances in the IT industry in last years have been critical to the IT revolution, driving the increase in the processing power of cutting-edge digital technologies. Encompassed with such improvements in technologies to obtaining knowledge/regularity and insights of data to create business values and making society sophisticated and better, Big Data and AI are changing directions and aspects in our society, from economics, business models, agriculture, health, to public management. IoT devices and the vast amount of data produced, concurrent to the improvements of the supply chain, product quality and reliability, Big Data has been made essential. Pairing these technologies with Blockchain, there is potential to significantly interpolate all industries of the market. In this talk, we introduce associated technologies rapidly adopted for Big Data and AI processing that are helping users to augment problem solving skills as well their ability to handle and analyze massive datasets in cost-effective manner, keeping competitive with fast, actionable insights and optimized data management and usage of data, giving them an edge over the competition for opportunities in high demand. |
