Undergraduates in Dr. LIAO Ruizhi’s Team Won Best Presentation Award at IEEE IE 2022
The 18th International Conference on Intelligent Environment (IE2022) was held in 2022 in Biarritz, France, from June 20th to June 23th. QU Qianyu, ZHENG Wenjun and SHI Zhan, undergraduates in Dr. LIAO Ruizhi’s “Smart City” research group, presented at the conference with their paper “Driver-Side and Traffic-Based Evaluation Model for On-street Parking Solutions.” The presentation was outstanding among 96 presentations and won the Best Presentation Award.
About the Conference
The international Conference on Intelligent Environments (IE Conference) is recognized as a major annual venue in the area. Intelligent environments refer to applications in smart home, smart medicine and smart cities, etc., focusing on technologies such as human activity recognition, human environmental interactions, machine learnings and data mining. By mining the low-level data collected by electronic devices in intelligence environments, researchers can obtain fine-grained information, thus creating interacting physical spaces to enhance occupants’ experience. The ultimate objective of such environments is to provide services to occupants, enrich their activities but also to develop their awareness.
Topics of IE 2022 contains smart spaces, smart home, smart buildings, smart cities, and smart grids, etc. Four awards were set up to encourage excellent research, including Beatrice WORSLEY Award, Best Presentation Award, Best Short Paper Award, and Best Demos & Video Award. The conference attracted researchers and students from universities of 25 countries, including University of Illinois at Urbana-Champaign, Cornell University, KU Leuven, Singapore University of Technology and Design, and the Chinese University of Hong Kong-Shenzhen.
About the Research
Title: Driver-Side and Traffic-Based Evaluation Model for On-street Parking Solutions
Abstract
An increasing demand for vehicles has been exacerbating the “parking pain in cities.” On-street parking is an effective supplement of off-street parking to ease the painful problem of parking in cities; however, common parking detection methods are unable to collect real-time on-street parking information with accuracy. Many solutions tried to resolve the parking issue by predicting parking occupancy. Their focuses were on the accuracy of the theoretical side but lacked a standardized model to evaluate these proposals in practice.
Under the guidance of Dr. LIAO, the undergraduates developed a Driver-Side and Traffic-Based Evaluation Model (DSTBM) to predict the driver’s decision (to park or not park) and evaluated the accuracy of information detected through different methods, thus providing a general evaluation model for on-street detections from the perspective of vehicle owners.
Authors
QU Qianyu (2018 Cohort, School of Data Science)
Data Science and Big Data Technology Programme
Harmonia College
ZHENG Wenjun (2018 Cohort, School of Science and Engineering)
Mathematics and Applied Mathematics Programme
Shaw College
SHI Zhan (2020 Cohort, School of Data Science))
Data Science and Big Data Technology Programme
Shaw College
Dr. LIAO Ruizhi (Supervisor)
Dr. LIAO Ruizhi obtained his doctorate in MAC for MU-MIMO and Full-duplex Enabled Wireless Networks at Universitat Pompeu Fabra in 2014, and worked as post-doc researcher at Oxford Brookes University between 2015 to 2016. He joined the Chinese University of Hong Kong-Shenzhen on July, 2016 as a lecturer of Information Technology Division of HSS; Since July, 2022, he worked as an assistant professor (teaching). Dr. LIAO’s research interest dwells on intelligent transportation systems, smart cities, and Wireless Local Area Network, etc. He has published more than 20 papers in mainstream journals and at international conferences, including IEEE Communications Surveys & Tutorials, IEEE Transactions on Intelligent Transportation Systems, and other journals with good impact factors.
Dr. LIAO is holding research grants supported by Shenzhen Science, Technology and Innovation Commission (STIC) & National Natural Science Foundation of China (NSFC) to explore smart parking systems; he is also involved in I am also involved in the Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology to explore IoT and Smart City applications. Dr. LIAO is currently an editorial board member Journal of Smart Cities and Society, and is in technical committees of several international conferences, such as IEEE BigDataSE and IEEE ECONF.
For more details, please visit Dr. LIAO’s homepage:
https://myweb.cuhk.edu.cn/rzliao
