報告主題：Research in Big Data and IoT: State of Art & Future Agenda

報告時間：12月20日（周三）下午3:30

報告地點：旭日樓310室

報告人：周炜

主持人：宋楊

報告簡介：

The rise of ubiquitous systems is sustained by the development and progressive adoption of the Internet  of  Things  (IoT)  devices  and  their  enabling  technologies.  IoT  has  been  shown  to  have significant potential in many industries, such as the high-risk Environment, Health, and Safety (EHS) industry. Big data is emerging in recent years as an evolutionary phenomenon. Many new concepts and business models driven by data are introduced as a result. Data analytics has greatly facilitated the  applications  of  IoT  data.  In  this  presentation,  we  highlight  IoT  and  data  analytics  related challenges and state of art solutions, from the perspective of value chain optimization, business process management, security and regulation. We conclude by presenting the future research agenda.

報告人簡介（中文）：

周炜，歐洲商學院（ESCP 巴黎）管理學部教授，商學院大數據與商業分析理學碩士的創始主任。該項目在2021年QS世界商業分析大師排名中排名第4。他還在2020年創辦了應用數據科學專業，目前擔任主任。周教授的興趣是人工智能、商業分析、管理科學和供應鍊管理。他的研究興趣領域是機器學習、基于知識的系統、通過分析模型、模拟和數據分析有效利用信息進行決策支持，以及一般的供應鍊管理。他的作品發表在Annals of Operations Research, Decision Support Systems, Comuter-Aided Civil and Infrastructure Engineering, European Journal of Information Systems, Expert System with Applications, European Journal of Operations Research, IEEE Letters in Geoscience and Remote Sensing等期刊。目前擔任《Decision Support Systems》的副主編，也是《International Journal of RF Technologies: Research and Applications》的編委。