【EI检索】2023年第二届计算与人工智能国际会议（ISCAI 2023）

2023年第二届计算与人工智能国际会议（ISCAI 2023）

 重要信息

会议时间：2023年10月13-15日

召开地点：中国上海

截稿时间：2023年10月7日

录用通知：投稿后1周内

收录检索：EI,Scopus

 

主办单位：东华大学、大连理工大学、上海浦东新区计算机协会

    

支持单位：香港机器人与计算机协会(HKSRA)、科享学术交流中心

 

会议简介

★2023年第二届计算与人工智能国际会议（ISCAI 2023）---Ei Compendex＆Scopus-Call for papers

｜2023年10月13-15日,中国上海

 

★ISCAI 2023将围绕“计算与人工智能”的最新研究领域而展开，来自世界各地的主要研究人员和行业专家将通过论文和口头报告介绍研究成果。本次会议由东华大学、大连理工大学、上海市浦东新区计算机协会联合主办。会议的这三天里，您将有机会聆听到前沿的学术报告，见证该领域的成果与进步。

 

会议日程预览：

会议时间	内容
2023年10月13日	注册+接待
2023年10月14日	开幕式+KN演讲+分会场报告
2023年10月15日	分会场报告+实验室参观

 

 

关于出版和索引

ISCAI 2023的所有被接受和提交的论文将发表在ACM国际会议论文集系列（ICPS）上，将被Ei Compendex，SCOPUS，Google Scholar，Cambridge Scientific Abstracts（CSA），Inspec， ISTP等检索，优秀论文将在国际期刊上发表。

Honorary Chair
Vilem Novak The University of Ostrava  Czech Republic
Conference Chairs
Guanglin Zhang Donghua University, China	Chanjuan Liu , , Dalian University of Technology, China ,	Richard A. Alo Florida Agricultural and Mechanical University, USA
Peter Holowka University of Calgary, Canada
Conference Co-Chairs
Han Huang South China University of  Technology, China	Hong Lin University of  Houston-Downtown, USA	Ning Xiong Malardlen University, Sweden
Technical Program Chairs
Jinwei Liu Florida A&M University,  USA	Lin Wang Shanghai Jiao Tong  University, China	Dapeng Li Nanjing University of Posts  and Telecommunications, China
Vice Technical Program Co-Chairs
Jinbei Zhang Sun Yat-sen University, China	Tao Huang James Cook University, Australia	Ping Zhao Donghua University, China
Jingjing Luo  Harbin Institute of Technology,  Shenzhen, China
Program Committee
Jo?o Manuel R. S. Tavares University of Porto, Portugal	Long Cheng Dublin City University, Ireland	Kamesh Namuduri University of North Texas, USA
Kang Chen Southern Illinois University, USA	Idongesit Mkpong-Ruffin Florida A&M University, USA

Publicity Chair

Wenqian Zhang

Shanghai Maritime University, China

Finance Chair

Xirong Xu

Dalian University of Technology, China

Local Chairs
Liping Xi Shanghai Pudong New Area Association For Computer,  China	Lei Zhang Donghua University, China	Menglin Zhai Donghua University, China

Keynote Speaker Ⅰ

Prof. Jan Treur

Vrije Universiteit Amsterdam, the Netherlands

Keynote Speaker Ⅱ

Prof. Hoong Chuin Lau

Singapore Management University, Singapore

Speech Title: Machine Learning Meets Combinatorial Optimization and Its Applications in Autonomous Decision Making

Abstract: Traditionally Machine Learning belongs to the field of AI, while Combinatorial Optimization is a key area in Operations Research. The line is blurring today as the communities come together to tackle new problems in both disciplines. In this talk, I will discuss my recent works on tackling automated decision making problems arising in business and control settings. The underlying challenge is in generating robust routes and schedules in dynamic environments by combining machine learning and planning in interesting ways. Time permitting, I will take a quantum leap to talk about an emerging research topic on solving constrained optimization problems with quantum/quantum-inspired annealing, where machine learning is used to tune both problem and algorithm parameters, which paves the way for a hybrid classical-quantum approach for solving combinatorial optimization problems.  

Biography: Hoong Chuin LAU is Professor of Computer Science at the Singapore Management University School of Computing and Information Systems, and jointly appointed by the Singapore Agency for Science, Technology and Research (A*STAR) as a Principal Scientist at the Institute of High Performance Computing. He also holds a Specially Appointed Professor of AI and Information appointment at the Tokyo Institute of Technology, Japan. He was Director of the Fujitsu-SMU Urban Computing and Engineering Corp Lab from 2014-2020. His research in the interface of Artificial Intelligence and Operations Research has contributed to advances of algorithms in a variety of complex planning and optimization problems in logistics, transportation, and related domains. The common thread running through his research is a focus on going beyond publications to build usable novel tools and prototypes, a number of which have been field tested and deployed in industry. In recognition of his achievements, contributions and service to academia and industry, he was conferred Outstanding Professor Award by the Industrial Engineering and Operations Management Society in 2021. In a global study by Stanford University published in 2020, he was named top 2% scientists in the world in the field of Artificial Intelligence. Hoong Chuin serves on the a number of editorial boards, including ACM Journal on Autonomous Transportation. Journal of Scheduling, and IEEE Transactions on Automation Science and Engineering.

Keynote Speaker Ⅲ

Prof. Xiaojun Wu

Jiangnan University, China

TBA...

 

征稿主题/会议征稿

代理系统 知识管理 人工智能应用 知识表达 系统的架构概念 知识理解和建模 自动推理 知识型应用 自主、自适应、可靠的计算 机器和知识的深度学习 生物信息学和BioNLP 多模态交互 业务流程计算 多媒体处理 基于案例的推理 自然语言处理 认知模型 互联网计算 知识的句法和语义方面

网络科学，社交网络，集体智慧 交流知识和代理 神经网络和深度学习 约束满足 并行计算 数据挖掘 性能赋值 隐私保护 进化计算 查询和优化 实时知识和处理 绿色计算 知识系统的硬件和软件 机器人和感知 信息和知识管理 服务计算和云计算 信息检索和搜索 软件进化和挖掘 完整性、安全性和容错性

更多征稿主题请访问： http://www.iscai.org/cfp.html

 

投稿方式

CMT在线投稿：https://cmt3.research.microsoft.com/ISCAI2023

请作者按照官网模板格式进行排版。排版好的论文全文（word+pdf版）发送至CMT在线系统。

 

投稿注意事项：

1.大会官方语言为英语，必须为全英文稿件；

2.保证文章原创性，未在国内外公开刊物或其它学术会议上发表过。

3.文章篇幅一般在5-12页之间，不少于5页，超过5页将收取超页费；

4.请按照官网上模板的格式编排。审稿周期约为3-7个工作日；

5.稿件不允许有剽窃行为，涉嫌抄袭的文章将不会送审。

6.提交摘要：即只参会做报告，不出版文章；

提交全文：即做参会做报告，并且出版文章；

听众：则不需要提交稿件，注册成功的听众可以参加会议的所有分会；