2024电子、信息与工业工程国际学术会议 (EIIE 2024)

2024/03/16-2024/03/17
中国·湖北省·武汉市
会议形式: 线下会议/线上会议
主办单位:美国科学技术学会
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会议简介 Brief Introduction

2024电子、信息与工业工程国际学术会议(EIIE 2024)将于2024316日-17举行,会议主会场位于挪威,实行线上线下结合的方式进行。会议主要围绕电子信息和工业工程等研究领域展开讨论,旨在为从事该领域的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术,了解学术发展趋势,拓宽研究思路,加强学术研究和探讨,促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者,企业界人士及其他相关人员参会交流。EIIE 2024将成为汇聚全球研究人员、从业者、学者、教授和工程师交流最新研究成果和激发科学创新的理想平台。

重要信息 Highlights

【基本信息

大会时间:2024年3 月 16 -17日

大会地点:主会场挪威,线上线上结合

接受/拒稿通知:投稿后1-2周


【出版检索】

1. 本会议收录的全文论文将由IEEE出版

2. 本会议收录的全文论文将提交EI检索 & Scopus检索所有的投稿论文都必须经过专家审稿,经过严格的审稿之后,最终所有录用的论文将以会议论文集的形式出版

3. 优秀的全文投稿论文将推荐至合作的SCI期刊Journal 1: Applied Sciences(ISSN:2076-3417,IF=2.679)Special Issue title: Application of Artificial Intelligence in Mechatronics;Journal 2: Sensors (ISSN: 1424-8220,IF=3.576)Special Issue title: Toward Performance Optimization of Wireless Sensor Networks and Sensor Node Devices in Environmental Monitoring......


投稿注意事宜】

1. 会议仅接受全英稿件,审稿周期为3-7个工作日

2. 会议接受摘要投稿全文投稿

3. 摘要投稿应不少于200词,全文投稿篇幅应不少于4页

4. 本会议采取先投稿先评审的方式进行,全文投稿的论文将严格执行“四步走”的评审流程(提交-初审-专家同行评审-结果)

5. 投稿方式:优先考虑会议官网中提供的投审稿系统,如系统无法正常投稿,可投至官方邮箱 eiiecn@163.com,命名为“文章投稿+姓名+单位+联系方式

征稿主题 Call for Paper

【征稿主题

1. 电子系统(模拟和数字电路;微波电路设计;低功耗电子;嵌入式系统;射频和无线技术;信号和图像处理;模拟/数字/混合信号电路;DSP的超大规模集成电路;专用集成电路与片上系统;超大规模集成电路计算机辅助设计;射频电路设计;MMIC和 CMOS电路;纳米制造与计算;电子材料......)

2. 信息网络(可持续的移动网络;智能传感器和可持续计算;下一代网络基础设施和可持续性;节能云计算技术;智能医疗和智能城市的物联网和可持续计算;用于节能移动计算的大数据处理;智能环境的节能网络...)

3. 自动化工程(人工智能;控制系统和应用;工业机电一体化和机器人技术;实时嵌入式控制;传感器和计算机视觉;动态测量理论与应用;工业应用的建模和计算机技术......)


注册费用 Registration

【注册费用说明

注册费说明

1.普通作者注册不超过6页,含6

人民币3500

 

2.  相同第一作者,第二,三篇论文每篇注册费(共一位作者参会名额,无额外论文集)

人民币3300

 

3.  IEEE成员不超过6页,含6

人民币3000

 

4.超页版面费(超过6页,从第7页开始)

人民币300/

 

4. 仅参会作者或仅投摘要的作者

人民币1500/

 

5. 陪同人员参加会议(不发表文章)

人民币1200/

 

6. 纸质论文集 1  (我们会免费为每个作者提供电子版)

人民币300

 

费用总计(请在最右侧填写)

 

说明:

会议注册费包括:论文版面费,一位作者代表的参会费用(不包含食宿费用,除会议期间的正餐).

参会方式 Type of Attendance

【参会方式

1. 全文投稿(口头报告/墙报)

2. 摘要投稿(口头报告/墙报)

3. 仅参会不投稿

主讲嘉宾

主讲嘉宾

Guest Speaker

Prof. Amir H Gandomi

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: University of Technology Sydney
Prof. Amir H Gandomi, ARC DECRA Fellow, ACM Member, IEEE Senior Member, Sigma Xi Full Member, SEM Life Member, ASME Member, ASCE Associate Member, XPRIZE Visioner, MSSANZ Management Committee Member, EAI Fellow, University of Technology Sydney, Australia; Obuda University, Hungary Amir H. Gandomi is a Professor of Data Science and an ARC DECRA Fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. He is also affiliated with Obuda University, Budapest, as a Distinguished Professor. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at Stevens Institute of Technology, USA and a distinguished research fellow at BEACON center, Michigan State University, USA. Prof. Gandomi has published over three hundred journal papers and 12 books which collectively have been cited 37,000+ times (H-index = 85). He has been named as one of the most influential scientific minds and received the Highly Cited Researcher award (top 1% publications and 0.1% researchers) from Web of Science for six consecutive years, from 2017 to 2022. In the recent most impactful researcher list, done by Stanford University and released by Elsevier, Prof Amir H Gandomi is ranked as the top 1,000 researchers (top 0.01%) and top 50 researchers in AI and Image Processing subfield in 2021! He also ranked 17th in GP bibliography among more than 15,000 researchers. He has received multiple prestigious awards for his research excellence and impact, such as the 2022 Walter L. Huber Prize, the highest-level mid-career research award in all areas of civil engineering. He has served as associate editor, editor, and guest editor in several prestigious journals, such as AE of IEEE Networks and IEEE IoTJ. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are global optimisation and (big) data analytics using machine learning and evolutionary computations in particular.

Assoc. Prof. Philip W. T. Pong

嘉宾类型: 主讲嘉宾
职称: 副教授
学校/单位: New Jersey Institute of Technology (NJIT)
Assoc. Prof. Philip W. T. Pong, IEEE Senior Member, IET Fellow, IOP Fellow, EI Fellow, IMMM Fellow, HKIE Fellow, NS Fellow, CPhys, CEng, R.P.E., Chartered Energy Engineer, New Jersey Institute of Technology, USA Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he obtained a PhD in engineering at the University of Cambridge in 2005. He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. Currently he is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research interest focuses on the fault detection, predictive maintenance, and anomaly detection of power grid. He is the Founding Director of the Green Technology Research and Training Laboratory, leading the research and education activities of offshore wind energy at NJIT. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Physics (FInstP), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong Institution of Engineers (FHKIE), a Fellow of the NANOSMAT Society (FNS), a chartered physicist (CPhys), a chartered engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), and a Senior Member of IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.

Prof. Wei Xiang

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: La Trobe University
Prof. Wei Xiang, IEEE Senior Member, Fellow of the IET in UK and Engineers Australia, La Trobe University, Australia Wei Xiang (S’00–M’04–SM’10) Professor Wei Xiang is Cisco Research Chair of AI and IoT and Director of the Cisco-La Trobe Centre for AI and IoT at La Trobe University. Previously, he was Foundation Chair and Head of Discipline of IoT Engineering at James Cook University, Cairns, Australia. Due to his instrumental leadership in establishing Australia’s first accredited Internet of Things Engineering degree program, he was inducted into Pearcy Foundation’s Hall of Fame in October 2018. He is an elected Fellow of the IET in UK and Engineers Australia. He received the TNQ Innovation Award in 2016, and Pearcey Entrepreneurship Award in 2017, and Engineers Australia Cairns Engineer of the Year in 2017. He was a co-recipient of four Best Paper Awards at WiSATS’2019, WCSP’2015, IEEE WCNC’2011, and ICWMC’2009. He has been awarded several prestigious fellowship titles. He was named a Queensland International Fellow (2010-2011) by the Queensland Government of Australia, an Endeavour Research Fellow (2012-2013) by the Commonwealth Government of Australia, a Smart Futures Fellow (2012-2015) by the Queensland Government of Australia, and a JSPS Invitational Fellow jointly by the Australian Academy of Science and Japanese Society for Promotion of Science (2014-2015). He was the Vice Chair of the IEEE Northern Australia Section from 2016-2020. He was an Editor for IEEE Communications Letters (2015-2017), and is currently an Associate Editor for IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal, IEEE Access, and Nature journal of Scientific Reports. He has published over 250 peer-reviewed papers including 3 books and 200 journal articles. He has severed in a large number of international conferences in the capacity of General Co-Chair, TPC Co-Chair, Symposium Chair, etc. His research interest includes the Internet of Things, wireless communications, machine learning for IoT data analytics, and computer vision.

Prof. Haibin Zhu

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: Nipissing University
Prof. Haibin Zhu, ACM Senior Member, IEEE Senior Member, I2CICC Fellow, Sigma Xi Full Member, CAST-USA Life Member, Nipissing University, Canada Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, the Founding Director of the Collaborative Systems Laboratory, a member of the University Budget Plan committee, Arts and Science Executive Committee, Nipissing University, Canada. He is also an affiliate professor of Concordia Univ. and an adjunct professor of Laurentian Univ., Canada. He has accomplished (published or in press) over 230+ research works including 40+ IEEE Transactions articles, six books, five book chapters, four journal issues, and four conference proceedings. He is a fellow of I2CICC (International Institute of Cognitive Informatics and Cognitive Computing), a senior member of ACM and IEEE, a full member of Sigma Xi, and a life member of CAST-USA (Chinese Association of Science and Technology, USA). He is serving as Vice President, Systems Science and Engineering (SSE) (2023-2024), a member-at-large of the Board of Governors (2022-), and a co-chair (2014-) of the technical committee of Distributed Intelligent Systems of IEEE Systems, Man and Cybernetics (SMC) Society (SMCS), Editor-in-Chief of IEEE SMC Magazine (2022), Associate Editor (AE) of IEEE Transactions on SMC: Systems (2019-), IEEE Transactions on Computational Social Systems(2019-), Frontiers of Computer Science (2021-), and IEEE Canada Review (2019-). He was AE of IEEE SMC Magazine (2018-2021), Associate Vice President (AVP), SSE (2021), IEEE SMCS, a Program (Co-)Chair for many international conferences, and a PC member for 130+ academic conferences. He is the founding researcher of Role-Based Collaboration and the creator of the E-CARGO model. His research monograph E-CARGO and Role-Based Collaboration can be found https://www.amazon.com/CARGO-Role-Based-Collaboration-Modeling-Problems/dp/1119693063. The accompanying Java/Python codes can be downloaded from GitHub: https://github.com/haibinnipissing/E-CARGO-Codes. He has offered 15+ keynote speeches for international conferences and 90+ invited talks internationally. His research has been being sponsored by NSERC, IBM, DNDC, DRDC, and OPIC.

Prof. Wanyang Dai

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: Nanjing University
Wanyang Dai is a Distinguished Professor in Nanjing University, Chief Scientist in Su Xia Control Technology. He is the current President & CEO of U.S. based (Blockchain & Quantum-Computing) SIR Forum (Industrial 6.0 Forum), President of Jiangsu Probability & Statistical Society, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee. He received his Ph.D. in mathematics and systems & industrial engineering from Georgia Institute of Technology in USA. He was an MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He was the Chief Scientist in DepthsData Digital Economic Research Institute. He published numerous influential papers in big name journals including Operations Research, Operational Research, Queueing Systems, Computers & Mathematics with Applications, Communications in Mathematical Sciences, and Journal of Computational and Applied Mathematics. He received various academic awards and has presented over 50 keynote/plenary speeches in IEEE/ACM, big data and cloud computing, quantum computing and communication technology, computational and applied mathematics, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from artificial intelligence, machine learning, data science, wireless communication, pure mathematics & statistics to their applications.

Prof. Haijun Zhang

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: University of Science and Technology Beijing
Prof. Haijun Zhang, IEEE Fellow, IET Fellow, University of Science and Technology Beijing, China Haijun Zhang is currently a Full Professor and Associate Dean in School of Computer and Communications Engineering at University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Canada. He serves/served as Track Co-Chair of VTC Fall 2022 and WCNC 2020/2021, Symposium Chair of Globecom'19, TPC Co-Chair of INFOCOM 2018 Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks, and General Co-Chair of GameNets'16. He serves/served as an Editor of IEEE Transactions on Communications, and IEEE Transactions on Network Science and Engineering. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, IEEE ComSoc Young Author Best Paper Award in 2017, IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2019, IEEE ComSoc Distinguished Lecturer.
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