中文

第三届智能控制与应用技术国际学术会议（AICAT 2024）

2024 3^rd International Symposium on Artificial Intelligence Control and Application Technology

2024年5月24-26日  山东青岛

大会官网： http://www.ic-aicat.com/

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重要信息

二轮截稿时间：2月29日23：59

接受/拒稿通知：投稿后7个工作日内

收录检索：EI Compendex，Scopus

大会简介

2024年第三届智能控制与应用技术国际学术会议（AICAT 2024）定于2024年5月24-26日在青岛隆重召开。会议主要围绕“智能控制”、“人工智能”“应用技术” 等研究领域展开讨论，旨在为人工智能、应用技术等领域的专家学者、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投稿和参会交流。

会议单位

主讲嘉宾

Prof. Akash Saxena

IEEE Senior Member

Central University of Haryana, Mahendergarh

Dr. Akash received the Bachelor of Technology in Engineering with honors in Electrical Engineering from the Department of Electrical Engineering, Engineering College Kota, Kota Rajasthan, India in 2001,Master of Technology with honors in Power System Engineering from the Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India in 2008 and Ph.D. degree in Power System Dynamics from the Malaviya National Institute of Technology, India in 2015. Dr. Akash has presented research work at national/international conferences in India and abroad. He has had the good opportunity to gain a rich and diverse work experience of nearly a decade in both the corporate and academic worlds. His research interests are the Computational Intelligence, Application of Artificial Intelligence in the power system, Control theory, smart grid, signal processing and Metaheuristics. His research is focused on application oriented solutions that can be a beneficial tool for mankind and society. In particular, in a recent work a supervised architecture based on the Air Quality index values are proposed by Dr. Akash to classify the ambient air quality in various parts of India.  During past three years, He got an opportunity to work on projects based on metaheuristic optimization algorithms. In these projects several variants of optimization algorithms was proposed and application of those are reported in Q1 journal papers (Elsevier). He recent published work in applied soft computing journal (Elsevier) on development of internal optimization based grey forecasting model is also an integral part of this project work. Addition to that, He have completed two government funded research projects sponsored by Rajasthan Technical University.  

陈艳姣教授

IEEE 高级会员

浙江大学，中国

陈艳姣教授在物联网安全及其相关领域取得了一批在国内外有影响力的成果。作为第一作者发表了Springer出版的学术专著一部，在领域内知名国际期刊和会议上发表论文80余篇(第一/通讯作者64篇)，其中包括中国计算机学会(CCF)认可的 A类期刊和会议论文27篇、SCI 1区论文15篇(第一/通讯作者32篇)，在计算机领域最高影响因子的期刊IEEE COMST(IF: 23.7)发表论文1篇，Google Scholar总引用量1400余次，引用者包括110余位中外院士和ACM/IEEE Fellow团队。主持国家自然科学基金项目2项，省部级项目2项，骨干参与国家自然科学基金重点项目。获授权国家发明专利8项。进入中组部第五批“万人 计划青年拔尖人才”项目会评答辩；入选湖北省“百人 计划”青年百人、湖北省“楚天学者计划”楚天学子；获香港科学会青年科学家提名奖、ACM-武汉新星奖；担任SCI 2区期刊IEEE WCL等编委、CCF A类会议INFOCOM等程序委员会成员、国际计算机网络女性研究者协会(N2Women) Geo-diversity委员会联合主席。

Assoc. Prof. Anwar P P Abdul Majeed

IEEE 高级会员

西交利物浦大学

Dr Anwar P.P. Abdul Majeed graduated with a first-class honours B.Eng. in Mechanical Engineering from Universiti Teknologi MARA (UiTM), Malaysia. He obtained an MSc. in Nuclear Engineering from Imperial College London, United Kingdom. He then received his PhD in Rehabilitation Robotics from the Universiti Malaysia Pahang (UMP). He is currently serving as an Associate Professor at the School of Robotics, XJTLU. Prior to joining XJTLU, he was a Senior Lecturer (Assistant Professor) and the Head of Programme (Bachelor of Manufacturing Engineering Technology (Industrial Automation)) at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. He is also currently serving as an adjunct lecturer at UCSI University, Malaysia. Dr Anwar is also a Visiting Research Fellow at EUREKA Robotics Centre, Cardiff Metropolitan University, UK.Dr Anwar is a Chartered Engineer, registered with the Institution of Mechanical Engineers (IMechE), UK, a Member of the Institution of Engineering and Technology (IET), UK, as well as a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is also an active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory (iMAMS), UMP. His research interest includes rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning.He has authored over 60 papers in different journals, conference proceedings as well as books. He serves as a reviewer in a number of prolific journals. Dr Anwar is also a member of the Young Scientists Network of the Academy of Sciences Malaysia (YSN - ASM). With regards to learned/civil society activities, he is an active member of the IET Malaysia Local Network as well as acting as a Liaison Officer for the Imperial College Alumni Association Malaysia.

陈志奎教授

IEEE会员

大连理工大学

2007年11月至今，大连理工大学教授，博士生导师，大连理工大学大数据研究所所长。1998-2007在香港浸会大学，法国自动化研究所，德国斯图加特大学从事网络与数据计算方面的科学研究。创建了一系列大数据计算理论与算法以及人工智能技术，研制了大数据算法库平台，构建了人工智能计算平台，并应用工程实践。发表学术论文100余篇， SCI检索期刊50余篇。申请发明专利20项，已经授权13项。获得软件著作权4项，科学出版社专著一部，教材3部。海南省科技进步一等奖（2021），地理信息协会科技进步特等奖1项(2020)、一等奖1项（2018）、二等奖奖1项（2016）；测绘科学技术二等奖（2021），华夏建设科学技术奖三等奖1项(2021)，测绘科技进步奖二等奖。

研究方向：深度学习，Deep Learning，大数据智能算法 Big Data algorithm，人工智能算法 AI，知识图谱 Knowledge Engineering，智能系统 Intellectual system。

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