| Biography | |
|---|---|
 Prof. Connie Man-Ching YUEN Hong Kong Shue Yan University, China |
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| Title: Challenges on IoT in Big Data | |
| Abstract: In the 21st century, IoT has many applications in our daily lives which can help people to improve the quality of life. IoT supports the automation of repetitive tasks which can increase task efficiency and accuracy, and can collect vast data within a second. With the evolution of networking technologies, people can collect and share data in smart devices easily. The 5G mobile network is much faster and much reliable than the previous generation of mobile network. It provides a strong backbone for IoT applications. With big data analysis, more AI applications are launched. The combination of AI and IoT brings us AIoT, which has many potential applications. IoT brings us a lot of convenience. On the other hand, IoT also brings us numerous challenges especially for the rapid growth of IoT devices in public spaces. In this presentation, we discuss the challenges that IoT applications faced and the impacts of these challenges on our daily lives. Keywords: Big data; IoT | |
| Biography: Dr. Connie Yuen is an Assistant Professor at Department of Applied Data Science at Hong Kong Shue Yan University (HKSYU) since 2020. In 2019, she joined Department of Journalism and Communication at HKSYU as an Assistant Professor. Before joining HKSYU, Dr. Yuen has over 10 years’ experiences on teaching at tertiary education and working on various research projects at different universities. Dr. Yuen’s research interests include crowdsourcing, human computation, big data application, data mining, machine learning and computer network. She received her B.Sc. degree in Computer Studies and her M.Phil. degree in Information Technology at City University of Hong Kong and her Ph.D. degree in Computer Science and Engineering at The Chinese University of Hong Kong. She is a senior member of IEEE (SMIEEE) and a Cisco Certified Academy Instructor (CCAI). | |
