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Developing AIoT, Telemedicine and Healthcare Clouds with Sustainable Ecosystem for Digital Economy
Release time:April 24, 2023

Topic:Developing AIoT, Telemedicine and Healthcare Clouds with Sustainable Ecosystem for Digital Economy

Speaker:Prof. Hwang Kai

Time: Tuesday, April 25, 2023, 9:30 a.m.

Venue: F708, New Main Building, Xueyuan Road Campus


This presentation will explore the integration of key technologies such as big data, AI, chips, 5G/6G communication networks, cloud computing, and edge sensing devices to build an ecosystem for intelligent healthcare IoT cloud. With respect to big data perception, machine learning cognition, and mass AI applications, this presentation will emphasize the seamless integration of intelligent cloud cognition and IoT perception to establish an up-to-date ecosystem environment and industrial system for the digital economy, remote healthcare, and universal health insurance.

About the Speaker:

Prof. Hwang Kai earned the Ph.D. in EECS from the University of California, Berkeley, and has taught at the University of Southern California and Purdue University for many years. In 2018, he joined the University of Hong Kong (Shenzhen) as a Presidential Chair Professor and Director of the Center for Artificial Intelligence and Robotics Research. He specializes in computer architecture, parallel processing, cloud computing, and IoT, and has been selected as one of the top 2% scientists in the world. He has given academic speeches worldwide and provided high-tech consulting services to IBM, Intel, Caltech JPL, MIT Lincoln Lab, Japan ETL, Chinese Academy of Sciences, Taiwan ITRI, Germany GMD, and France TINRIA. He has supervised 22 doctoral students, 5 of whom were elected IEEE Fellows and are now either lecturers or leaders in well-known universities. Many of his graduates are employed by companies such as Google, IBM, LinkedIn, and VMware.

Prof. Hwang's textbooks include:

Computer Arithmetic: Principles, Architecture and Design, Wiley, New York, 1978.

Cloud Computing for Machine Learning and Cognitive Applications, The MIT Press, 2017.

Big Data Analytics for Cloud/IoT and Cognitive Computing, Wiley in UK, 2017.

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