Dr. Connie Yuen, Assistant ProfessorHong Kong Shue Yan University, Hong Kong, China
Speech 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.
Biography: Connie Yuen is an Assistant Professor at Centre for Applied Data Science at Department of Journalism and Communication at Hong Kong Shue Yan University in Hong Kong, China. 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. Before her appointment as an Assistant Professor at 2019, Dr. Yuen has over 10 years’ experiences on teaching at tertiary education and working on various research projects at different universities. She is a senior member of IEEE.
Research Interests: crowdsourcing, human computation, big data application, data mining, machine learning and computer network.