IoT Thrust Seminar | Applied Machine Learning with Internet-of-Things (IoT) Sensing
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
There has been an enormous growth in the use of Internet-of-Things (IoT) devices in the past decade. With increasingly powerful computation capability, sensing capability, and ubiquitous wireless connectivity, these lightweight devices have become an integral part of our lives.
In this talk, Dr. Zhang will present his work on designing IoT sensing systems, focusing on applied machine learning-based solutions. IoT devices can capture different types of sensing signals such as movement, vision, and temperature. By combining IoT technology with machine learning techniques, a variety of novel IoT systems can be built for applications in fields such as healthcare and food science. However, designing effective IoT systems for interdisciplinary applications is challenging, which requires careful system considerations. These challenges cover IoT end-device design, wireless communication, data efficiency, data privacy, etc. In addition, IoT and machine learning together bring us new challenges and potential research opportunities.
Dr. Huanle Zhang received the Ph.D. degree in computer science from the University of California, Davis, USA, in 2020. He was employed as a project officer with the School of Computer Science and Engineering, Nanyang Technological University, Singapore from 2014-2016. He is a postdoc with the Department of Computer Science, University of California, Davis, from 2020. His research interests include IoT systems and applications, wireless networking, and applied machine learning. He has published 20 peer-reviewed journal/conference papers and filed two US patents. He served as a technical program committee member of ACM MobiHoc from 2021.