7th Eai International Conference on Robotic Sensor Networks: Eai Rosenet 2023

Gül, Ömer Melih, Fiorini, Paolo, Kadry, Seifedine Nimer

  • 出版商: Springer
  • 出版日期: 2024-08-20
  • 售價: $7,610
  • 貴賓價: 9.5$7,230
  • 語言: 英文
  • 頁數: 210
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031644948
  • ISBN-13: 9783031644948
  • 相關分類: 感測器 Sensor機器人製作 Robots
  • 海外代購書籍(需單獨結帳)

商品描述

This book presents the proceedings of the 7th EAI International Conference on Robotics and Networks 2023 (EAI ROSENET 2023). The conference explores the integration of networks, communications, and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of communications and networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the communications and networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference takes place at Bahcesehir University, Istanbul, Türkiye on 15-16 December 2023.

商品描述(中文翻譯)

本書呈現了第七屆EAI國際機器人與網路會議2023(EAI ROSENET 2023)的會議紀錄。此次會議探討了網路、通訊與機器人技術的整合,這已成為全球學術界和產業界研究者與開發者日益關注的主題。作者認為,大型網路將是下一代機器人研究的主要方法,隨著通訊和網路模型的爆炸性增長以及計算機計算能力的提升,機器人技術的潛在應用數量顯著增加,同時也為通訊和網路社群帶來了新的挑戰。此次會議為研究人員提供了一個分享該領域最新科學成就的平台。會議將於2023年12月15日至16日在土耳其伊斯坦堡的巴赫切希爾大學舉行。

作者簡介

Dr. Predrag S. Stanimirovic received the Ph.D. degree from the Faculty of Philosophy, University of Nis, Nis, Serbia, in 1996. He is currently working as a Full Professor with the Department of Computer Science, Faculty of Sciences and Mathematics, University of Nis. He has authored over 260 publications in various scientific journals, including six research monographs. His current research interests include research encompasses diverse fields of mathematics, applied mathematics, and computer science, which span multiple branches of numerical linear algebra, recurrent neural networks, symbolic computation, and operations research.

Dr. Yudong Zhang is a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was the 2019 & 2021 recipient of Clarivate Highly Cited Researcher. He has (co)authored over 400 peer-reviewed articles. There are more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers in his (co)authored publications. His citation reached 22817 in Google Scholar (h-index 84). He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, Hope, British Council, and NSFC. He has served as (Co-)Chair for more than 60 international conferences and workshops (including more than 10 IEEE or ACM conferences). More than 50 news presses have reported his research outputs, such as Reuters, BBC, Telegraph, Physics World, UK Today News, etc.

Dr. Dunhui Xiao is a professor at Tongji University (Shanghai, China). He obtained his PhD from Imperial College London where he did his Post-doc. His research interests include numerical modelling with a focus on non-intrusive reduced-order modellingof Navier-Stokes equations, fluid-structure interactions, and multiphase flows in porous media. He is also interested in data-driven modelling, data science, physical data combined machine learning and optimisation. He is a PI of a number of grants including EPSRC. He sits on the editorial boards for a number of journals and he is the reviewer for many journals and the EPSRC grants.

Dr. Xinwei Cao received the bachelor's degree from Shandong University, Jinan, China, 2009, the master's degree from Tongji University, Shanghai, China, in 2012, and the Ph.D. degree from Fudan University, Shanghai, China, in 2017, all in management. She is currently a full Professor with Jiangnan University, Wuxi, China. Her research interests include operations research, operational management, computational and quantitative finance, empirical asset pricing, and financial market.

作者簡介(中文翻譯)

Dr. Predrag S. Stanimirovic於1996年獲得塞爾維亞尼什大學哲學系的博士學位。他目前擔任尼什大學科學與數學學院計算機科學系的正教授。他在各類科學期刊上發表了超過260篇論文,包括六部研究專著。他目前的研究興趣涵蓋數學、應用數學和計算機科學的多個領域,涉及數值線性代數、遞迴神經網絡、符號計算和運籌學等多個分支。

Dr. Yudong Zhang是英國萊斯特大學計算與數學科學學院的教授。他的研究興趣包括深度學習和醫學影像分析。他是IET、EAI和BCS的會士,也是IEEE、IES和ACM的高級會員,並且是ACM的傑出演講者。他曾於2019年和2021年獲得Clarivate高被引研究者的榮譽。他(共同)發表了超過400篇經過同行評審的文章,其中有超過50篇ESI高被引論文和5篇ESI熱門論文。他在Google Scholar上的引用次數達到22817(h-index 84)。他參與了許多成功的工業項目和來自NIH、皇家學會、GCRF、EPSRC、MRC、Hope、英國文化協會和NSFC的學術資助。他擔任了超過60個國際會議和研討會的(共同)主席(包括超過10個IEEE或ACM會議)。他的研究成果被超過50家新聞媒體報導,如路透社、BBC、電訊報、物理世界、英國今日新聞等。

Dr. Dunhui Xiao是同濟大學(中國上海)的教授。他在倫敦帝國學院獲得博士學位並完成博士後研究。他的研究興趣包括數值建模,專注於非侵入式的Navier-Stokes方程降階建模、流體-結構相互作用以及多相流在多孔介質中的應用。他也對數據驅動建模、數據科學、物理數據結合機器學習和優化感興趣。他是多個資助項目的主要研究者,包括EPSRC。他擔任多本期刊的編輯委員會成員,並為許多期刊和EPSRC資助項目擔任審稿人。

Dr. Xinwei Cao於2009年獲得中國濟南山東大學的學士學位,2012年獲得中國上海同濟大學的碩士學位,2017年獲得中國上海復旦大學的博士學位,均為管理學。她目前是中國無錫江南大學的正教授。她的研究興趣包括運籌學、運營管理、計算與定量金融、實證資產定價和金融市場。