The Seventh International Conference on Safety and Security with Iot: Saseiot 2023
Tran, Kim Phuc, Li, Shujun, Heuchenne, Cédric
相關主題
商品描述
This book presents the Fifth International Conference on Safety and Security with IoT (SaSeIoT 2023), which took place Bratislava, Slovakia, October 24-26, 2023. The conference aims to explore not only IoT and its related critical applications but also IoT towards Security and Safety. The conference solicits original and inspiring research contributions from experts, researchers, designers, and practitioners in academia, industry and related fields and provides a common platform to share knowledge, experience and best practices in various domains of IoT.
商品描述(中文翻譯)
本書介紹了第五屆國際物聯網安全與保障會議(SaSeIoT 2023),該會議於2023年10月24日至26日在斯洛伐克布拉迪斯拉發舉行。會議旨在探討物聯網及其相關的關鍵應用,並關注物聯網在安全與保障方面的應用。會議徵求來自學術界、產業及相關領域的專家、研究人員、設計師和實務工作者的原創且具啟發性的研究貢獻,並提供一個共同的平台,以分享在物聯網各個領域的知識、經驗和最佳實踐。
作者簡介
Kim Phuc Tran is currently a Senior Associate Professor (Maître de Conférences HDR, equivalent to a UK Reader) of Artificial Intelligence and Data Science at the University of Lille, Graduate School MADIS-631, ENSAIT, & GEMTEX laboratory, France. He received an Engineer's degree and a Master of Engineering degree in Automated Manufacturing. He obtained a Ph.D. in Automation and Applied Informatics at the University of Nantes, and an HDR (Doctor of Science or Dr. Habil.) in Computer Science and Automation at the University of Lille, France. He has published more than 72 papers in peer-reviewed international journals and proceedings of international conferences. He edited 3 books with Springer Nature and Taylor & Francis. He is the Associate Editor, Editorial Board Member, and Guest Editor for several international journals such as IEEE Transactions on Intelligent Transportation Systems and Engineering Applications of Artificial Intelligence. Kim Phuc Tran has supervised 12 Ph.D. students and 3 Postdocs. In addition, as the project coordinator (PI), he conducted a national project about Healthcare Systems with Federated Learning. He has been or is involved (PI, co-PI, or member) in 13 national and European projects. He is an expert and evaluator for the Public Service of Wallonia (SPW-EER), Belgium, the Natural Sciences and Engineering Research Council of Canada, ANRT (Association nationale de la recherche et de la technologie), and CY Cergy Paris University, France. He received the Award for Scientific Excellence (Prime d'Encadrement Doctoral et de Recherche) given by the Ministry of Higher Education, Research and Innovation, France for 4 years from 2021 to 2025 in recognition of his outstanding scientific achievements.
From 2017 until now, he has been the Senior Scientific Advisor at Dong A University and the International Research Institute for Artificial Intelligence and Data Science (IAD), Danang, Vietnam where he has held the International Chair in Data Science and Explainable Artificial Intelligence. His research interests include Explainable Trustworthy, and Transparent Artificial Intelligence; Ethical, and Human-centered Artificial Intelligence; Safety and Reliability of Artificial Intelligence; Statistical Computing; Intelligent Decision Support Systems; Digital Twins; and Applications of AI, Edge Computing, and Data Science in Industry 5.0.
Shujun LI is Professor of Cyber Security at the School of Computing, University of Kent in the UK. He is Director of the Institute of Cyber Security for Society (iCSS), which represents the University of Kent as one of 19 UK government recognised Academic Centres of Excellence in Cyber Security Research (ACEs-CSR). His research interests are mostly around interdisciplinary topics covering cyber security and privacy, human factors, digital forensics and cybercrime, social media analytics, and AI. He has published over 100 research papers at international journals and conferences and received five Best Paper Awards including the 2022 IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award. He is a Fellow of BCS, a Senior Member of IEEE, and a Member of ACM. Therefore, he will be able to provide the expert knowledge on cyber security and privacy part of the project.
C. Heuchenne holds a Master's degree in Applied Sciences and a Ph.D. in Statistics from the Catholic University of Louvain and has more than 16 years working as a Statistics/Data Science professor at the University of Liège and UCLBrussels. His research concerns different applied and theoretical fields like survival or duration data analysis, nonparametric statistical inference, machine learning, statistical process control, quality management, or risk modeling. He published more than 45 articles in prestigious peer-reviewed scientific journals (with impact factor and indexed by Scopus), more than 30 articles presented at international conferences andhe has been invited by more than 30 universities for seminars, workshops and research stays. He also participated in writing some chapters of statistics/finance/engineering books, has been working for two scientific journals as associate editor, and supervised 6 completed Ph.D. Theses. Besides, he got supported by five important projects funded by Belgian/European funds (more than 400000 euros each) and supervised the whole process from the research content to the management of research groups (he hired more than 20 persons -doctoral students and post-docs-) and the communication with partners (other universities and companies).
Truong Thu Huong received her B.Sc. in Electronics and Telecommunications in 2001 from Hanoi University of Science and Technology (HUST), where she is currently giving lecture and doing research. Being funded in by DAAD-the German Government Fund, she then achieved her Master of Science in Information and Communication Systems from the Technical University of Hamburg-Harburg (TUHH), Germany, in 2004. From 2004 till 2007, she pursued her Ph.D. career at the University of Trento, Italy. From 2009 to now, her educational, research, and development work is oriented toward Network Security, development of Internet of Things ecosystems and applications, Artificial Intelligence, next generation networks, protocols and mechanism, traffic analysis, QoE/QoS measuring, green networking, and deployment of new integrated multimedia services into fixed and mobile networks, Virtual Reality. During her academic career, Huong has achieved 2 best paper awards for the articles she co-authored in the IEEE ICC 2007 and IEEE ATC 2014. She also a recipient of 3 Excellent-Teacher-of-the-Year Awards provided by the Ministry of Education and Training and Hanoi University of Science and Technology. She serves multiple international conferences as program committee member, and session chair. She also supports some international journals as reviewer. Huong is now a member of the IEEE society, IEEE ComSoc, and Vice chair of HUST Association for Intellectual Women.
作者簡介(中文翻譯)
金福傳目前是法國里爾大學MADIS-631研究生院、ENSAIT及GEMTEX實驗室的人工智慧與數據科學高級副教授(Maître de Conférences HDR,相當於英國的Reader)。他獲得自動化製造的工程學位及工程碩士學位,並在南特大學獲得自動化與應用資訊學的博士學位,以及在法國里爾大學獲得計算機科學與自動化的HDR(科學博士或Dr. Habil.)。他在國際同行評審的期刊及國際會議論文集中發表了超過72篇論文,並與Springer Nature及Taylor & Francis編輯了3本書。他是多本國際期刊的副編輯、編輯委員會成員及客座編輯,如IEEE Transactions on Intelligent Transportation Systems及Engineering Applications of Artificial Intelligence。金福傳指導了12位博士生及3位博士後研究員。此外,作為項目協調員(PI),他進行了一個關於醫療系統與聯邦學習的國家項目。他曾參與或目前參與13個國家及歐洲項目(PI、共同PI或成員)。他是比利時瓦隆公共服務(SPW-EER)、加拿大自然科學與工程研究委員會、ANRT(法國國家研究與技術協會)及法國CY Cergy Paris University的專家及評估員。他因其卓越的科學成就,獲得法國高等教育、研究與創新部頒發的科學卓越獎(Prime d'Encadrement Doctoral et de Recherche),該獎項自2021年至2025年連續四年頒發。
自2017年至今,他擔任越南峴港的東亞大學及人工智慧與數據科學國際研究所(IAD)的高級科學顧問,並擔任數據科學與可解釋人工智慧的國際講座教授。他的研究興趣包括可解釋的可信與透明的人工智慧;倫理與以人為中心的人工智慧;人工智慧的安全性與可靠性;統計計算;智能決策支持系統;數位雙胞胎;以及AI、邊緣計算與數據科學在工業5.0中的應用。
李樹軍是英國肯特大學計算學院的網絡安全教授。他是社會網絡安全研究所(iCSS)的主任,該所代表肯特大學成為英國政府認可的19個網絡安全研究卓越學術中心(ACEs-CSR)之一。他的研究興趣主要集中在跨學科主題,包括網絡安全與隱私、人因、數位取證與網絡犯罪、社交媒體分析及人工智慧。他在國際期刊及會議上發表了超過100篇研究論文,並獲得五項最佳論文獎,包括2022年IEEE Transactions on Circuits and Systems Guillemin-Cauer最佳論文獎。他是BCS的院士、IEEE的高級會員及ACM的會員。因此,他能夠提供項目中有關網絡安全與隱私的專業知識。
C. Heuchenne擁有應用科學碩士學位及來自魯汶天主教大學的統計學博士學位,並在列日大學及布魯塞爾自由大學擔任統計學/數據科學教授已有超過16年。他的研究涉及生存或持續時間數據分析、非參數統計推斷、機器學習、統計過程控制、質量管理或風險建模等不同的應用及理論領域。他在享有盛譽的同行評審科學期刊上發表了超過45篇文章(具有影響因子並被Scopus索引),在國際會議上發表了超過30篇文章。