计算科学与应用统计学国际会议 (ICSCAS2022)

2022/11/12-2022/11/12
中国·湖北省·武汉市
会议形式: 线上会议
出版物: JPCS
主办单位:湖北众科地质环境技术研究院
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会议简介 Brief Introduction
2022年科学计算与应用统计国际会议(ICSCAS 2022)将于2022年11月12日在线举行。作为一个开放的论坛,在科学计算和应用统计的各个方面参与的各方之间分享和传播最新思想和最新研究成果。 它在科学和工程、统计原理和统计方法创新中的应用,由当前重要的现实世界的所例子展示。 ICSCAS 2022会议委员会很高兴邀请您参加此次活动,以会面和交流共同研究领域的最新进展和研究成果。
重要信息 Highlights

大会时间:2022年11月12日-13日

大会地址:武汉,中国

第一轮截稿:2022年11月11日

接受/拒稿通知:投稿后1周内

收录检索:SCI,EI Compendex,Scopus,Inspec


征稿主题 Call for Paper
1.数学

2.复杂非线性方程组的数值分析

3.计算数学

4.计算流体动力学

5.数理物理

6.数值分析

7.数学建模与应用

8.工程应用与科学计算

9.统计力学

10.随机过程

11.概率论

12.统计密码学

13.人工智能和计算智能

14.过程和现象的计算机模拟
注册费用 Registration
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常规注册 3500人民币 1.口头/海报展示. 2.在会议论文集发表一篇全文(EI检索),
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1500人民币 不包括会议论文集出版物。
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出版信息 Publication
ICSCAS2022会议论文集由IOP的JPCS(Journal of Physics: Conference Series)出版
参会方式 Type of Attendance
作者须知
1. 摘要提交(仅限口头或海报展示)

对于有兴趣只为口头或海报展示而没有出版物提交摘要的与会者,请按照以下准则提交您的摘要:

● 摘要应严格控制在A4页以内,与求职信页相距200-250字;

● 求职信页需要包含通讯作者/演讲者的简短传记,并包含以下信息:

1) 全名; 2)职称信息(Prof./Dr./Mr./Ms.)(教师/学生); 3) 隶属信息(部门、大学/机构)+国家; 4) 研究兴趣;

● 摘要应按照摘要模板以.doc 格式提交;

● 接受或拒绝将在两周内通过电子邮件通知。

2. 论文全文提交

● 邀请作者提交与会议主题和主题相关的研究的原创、未发表的英文论文。提交任何包含重复或重复发表相同或非常相似的研究工作的稿件违反推荐政策和发表将被拒绝。

● 对于每篇被录用的论文,至少有一位作者需要注册会议并在会议现场或在线发表论文。这是将论文纳入诉讼程序的强制性要求。

● 初次提交前无需严格排版。

●手稿不应同时考虑在其他地方出版。

主讲嘉宾

主讲嘉宾

Guest Speaker

Prem Kumar Singh

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: Gandhi Institute of Technology and Management
Dr. Prem Kumar Singh working as an Associate Professor at Department of Computer Science and Engineering, Gandhi Institute of Technology and Management-Visakhapatnam, Andhra Pradesh-India. He has more than 13 Years of experience in teaching, research and academics. He holds a Post-Doc in Computer Science from Faculty of Computer Science and Information Technology, University of Malaya-Kuala Lumpur which was fully funded by HIR Lab Malaysian Govt of Higher Education. He has completed a PhD degree in Computer Science from Vellore Institute of Technology-Vellore which was fully funded by NBHM Department of Atomic Energy, Govt of India. He has published more than 90 peer review research papers in several conferences and Journals. All of those researches cited more than 1600, 25 h-indexes and more than 43 i10. His current research interests are soft computing, complex data analysis, graph theory, mathematical modelling and Quantum machine intelligence. Towards this direction, he has introduced bipolar, three-polar, m-polar, complex, Plithogenic and Turiyam graphs for knowledge processing tasks. He served as Technical Program Committee, Reviewer, Guest Editor, Editorial board member as well as Speaker for more than 200 peer reviewed conferences and journals. He is PI for the Project title “Investigating the expertise analysis of an Institute using Scopus data Set and its metric” Ref. 2021/0050. He is Editor-In-Chief for “Journal of Neutrosophic and Fuzzy Systems” and Associate Editor for “Journal of Artificial Intelligence and Technology”. He is also listed as top 2% Scientist by Stanford University in 2020 and 2021 as well in the computer science domain.

Liangchi Zhang

嘉宾类型: 主讲嘉宾
职称: 教授
学校/单位: Southern University of Science and Technology
Liangchi Zhang is a Chair Professor in the Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. He is also the Fellow of the Australian Academy of Technological Science and Engineering (FTSE). Zhang obtained his BSc and MEng from Zhejiang University, PhD from Peking University, China, and DEng (higher doctorate) from the University of Sydney, Australia. Prior to joining SUSTech, he has worked at the University of New South Wales and University of Sydney, Australia, University of Cambridge, UK, National Mechanical Engineering Laboratory, MITI, Japan, and Zhejiang University, China. Zhang carries out research on both the fundamentals and industrial applications in the cross-disciplinary field of advanced manufacturing, advanced materials, tribology, nanotechnology, solid mechanics and biomechanics. He has published extensively in his research areas and his research outcomes are well received by peers. His technologies have led to significant economic benefits for manufacturing industry. Zhang has been granted many awards and honours, and has served as editor-in-chief and member of editorial boards of many international journals and technical book series.
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