AIMEE2024: The 8th International Conference of Artificial Intelligence, Medical Engineering, Education

October 26 - October 27 , 2024 , Huangshi, China

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  • Paper submission
  • Conference program
  • Keynote speakers
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The 8th International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2024) - Online Conference

Huangshi, China

October 26-27, 2024

The 8th International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2024) will be held on October 26–27, 2024, in Huangshi, China. The conference is organized jointly by Wuhan University of Technology, the Polish Operational and Systems Society, Hubei University of Technology, and the International Research Association of Modern Education and Computer Science.

The AIMEE2024 will bring together the top researchers from Asian Pacific nations, North America, Europe, and around the world to exchange their research results and address open issues in Artificial Intelligence, Medical Engineering, and Education. The official conference language is English. All the papers need to be written and presented in English.

~^o^~ Please click here to submit your paper.~^o^~


💖 Conference Program. ( 21-10-2024)

💖 Call for Paper. ( 03-07-2024)

💖 AIMEE2023 conference book has been published online. ( 30-01-2023)

Publication Information

The conference proceedings of AIMEE2024 will be published by "Advances in Transdisciplinary Engineering" , which is indexed by EI Compendex, SCOPUS, etc.

Authors are invited to submit original, unpublished manuscripts that demonstrate recent advances in the following areas of interest, but are not limited to:

Area 1:Artificial Intelligence

Neural Networks

Evolutionary Computing and Genetic Algorithms

Fuzzy Systems and Soft Computing

Ant Colony Optimization

Particle Swarm Optimization

Artificial Fish School Algorithm

Artificial Life and Artificial Immune Systems

Systems Biology and Neurobiology

Rough and fuzzy rough set

Knowledge Discovery and Data Mining

Supervised & Semi-supervised Learning

Evolutionary learning systems

Man-Machine Interaction

CIMS and Manufacturing Systems

Process Automation

Automobile Electric

Sensor Fusion

Intelligent Mechatronics and Robotics

Intelligent Automation

Knowledge Management and Knowledge Engineering

Management of Supply Chain and Logistics

System Theory and Control Theory

Nonlinear System and Control

Bayesian Network

Pervasive Computing

Modeling, Identification and Signal Processing

Fuzzy System and Fuzzy Control

Distributed Control Systems

Adaptive Control and Learning Control

Robust and H-infinity Control

Traffic Control

Communication Network Systems

Intelligence System Design

Intelligent Management of Enterprises in the AI Era

Intellectualization and Humanization of Management

Digital Economy and Smart Financial Management

News Communication in the Context of Media Integration

Area 2:Medical Engineering

Computational Proteomics

DNA and RNA Structure, Function and Sequence Analysis

Gene Regulation, Expression, Identification and Network

Structural, Functional and Comparative Genomics

Computational Evolutionary Biology

Data Acquisition, Normalization, Analysis and Visualization

Algorithms, Models, Software, and Tools in Bioinformatics

Any Novel Approaches to Bioinformatics Problems

Biomedical Imaging, Image Processing & Visualization

Bioelectrical and Neural Engineering

Biomaterials and Biomedical Optics
Biochemistry and Biotechnology

Methods and Biology Effects of NMR/CT/ECG Technology

Biomedical Devices, Sensors, and Artificial Organs

Biochemical, Cellular, Molecular and Tissue Engineering

Biomedical Robotics and Mechanics

Rehabilitation Engineering and Clinical Engineering

Health Monitoring Systems and Wearable System

Bio-signal Processing and Analysis

Biometric and Bio-measurement

Ethics and Humanistic Care in the field of Medicine

Supportive Psychological Intervention Program for Patients

Area 3:Education

Big Data and Education

Cloud Computing in Education

Computer Education

Computer Aided Instruction

Network University

Network Curriculum

Computer Network Education

Computer Distance Learning

Countryside Distance Learning

Education Information Technology

Educational Technique standard

Digit Sports Research

Sports Media Education

Classroom Instruction Research

Management Science Teaching Research

Lifelong Education Research

Special Crowd Computer Education

Technology Empowerment Classroom

Continuing Education and Vocational Training

Practical Teaching System, Methods and Means

Combination of Production and School and Collaborative Education

Paper submission due: September 27, 2024

Notification of paper acceptance: October 4, 2024

Final manuscript due: October 10, 2024

Registration and full payment due: October 10, 2024

Conference date: October 26-27, 2024

Chairs

Prof. Felix Yanovsky, Delft University of Technology, Netherlands

Prof. Z.W. Ye, Hubei University of Technology, China

General Co-Chairs

Prof. Q.Y. Zhang, Wuhan University of Technology, China

Prof. Matthew He, Nova Southeastern University, Fort Lauderdale, USA

Prof. X.R. Hu, Wuhan Textile University, China

Prof. Yuriy Ushenko, Chernivtsi National University, Ukraine

Program Committee Members

Dr. Krzysztof Przystupa, Lublin University of Technology, Poland

Prof. Orest Kochan, Lviv Polytechnic National University, Ukraine

Prof. Harrison Hao Yang, State University of New York at Oswego, USA

Prof. M. Wang, Wuhan Technology and Business University, China

Prof. Janusz Kacprzyk, Systems Research Institute, Poland

Prof. Y. C. Zhang, Business School of Hubei University, China

Prof. Sergiy Gnatyuk, National Aviation University, Ukraine

Prof. H. F. Yang, Waseda University, Shinjuku City, Japan

Ph.D. G. Darvas, Institute Symmetrion, Hungary

Prof. X. Jiang, East China Normal University, China

Dr. Q.L. Zhou, Shizuoka University, Japan

Prof. B. Dragovich, the Institute of Physics, Belgrad, Serbia

Prof. Y. Gu, Wuhan University of Technology, China

Dr. Harrison Hao Yang, State University of New York at Oswego, USA

Dr. Oleksii K. Tyshchenko, University of Ostrava, Czech Republic

Dr. W. H. Yue, Henan University of Technology, China

Dr. Rabah Shboul, Al-albayt University, Jordan

Prof. M. Y. Zhang, Wuhan University of Technology, China

Prof. E. Fimmel, Mannheim University of Applied Sciences, Germany

Prof. L. Cao, Wuhan Technology and Business University, China

Prof. S.S. Ge, National University of Singapore, Singapore

Prof. X. J. Wei, Wuhan Technology and Business University, China

Prof. M. He, Nova Southeastern University, Fort Lauderdale, USA

Prof. H. J. Xu, Xinjiang University, Urumqi, China

Dr. X.J. Ma, Huazhong University of Science and Technology, China

Dr. Essa Alghannam, Tishreen University, Syria

Prof. Z. Wei, South China Normal University, China

Prof. Roman Kochan, University of Bielsko-Biała, Bielsko-Biala, Poland

Prof. H. B. Xie, Fujian Normal University, China

Prof. A.U. Igamberdiev, Memorial University of Newfoundland, Canada

Prof. W.H. Peng, Central China Normal University, China

Prof. J. S. Dai, National University of Singapore, Singapore

Prof. S.C. Qu, Central China Normal University, China

Prof. Y. Zhang, Wuhan University of Technology, China

Prof. Y. Shi, Bloomsburg University of Pennsylvania, USA

Prof. Anatoliy Sachenko, Kazimierz Pułaski University of Technology and Humanities in Radom, Poland

Dr. P.L. Simeonov, Institute of Pathology, Berlin, Germany

Dr. Solomiia Fedushko, Lviv Polytechnic National University, Lviv, Ukraine

Prof. D. W. Zhang, Guangdong University of Petrochemical Technology, China

Prof. J.Q. Wu, Central China Normal University, China

Prof. Vitaly Deibuk, Chernivtsi National University, Chernivtsi, Ukraine

Prof. C.C. Zhang, Fengchia University, Taiwan

Dr. Feng Liu, Huazhong Agricultural University, China

Prof. Sergey Petoukhov, MERI RAS, Moscow, Russia

Steering Chairs

Prof. X.F. Zhou, Wuhan Technology and Business University, China

Dr. J. Su, Hubei University of Technology, China

Local Organizing Committee Members

Prof. Z.P. Liu, Wuhan University of Technology, China

Prof. Y. Wang, Wuhan Technology and Business University, China

Prof. H.L. Zhong, South China University of Technology, China

Prof. G.E. Zhang, Nanning University, China

Prof. W.J. Xiong, Wuhan Business University, China

Prof. X.J. Zhou, Wuhan Textile University, China

Prof. G.B. Gao, Yangzhou University, China

Prof. H.M. Gao, Tianjin Agricultural University, China

Scientific Secretary

Dr. L. J. Du, Wuhan University of Technology, China

Dr. C. Chen, Wuhan Business University, China

Prof. V.E. Mukhin, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

Publication Chairs

Prof. Z.B. Hu, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

Prof. Matthew He, Nova Southeastern University, Fort Lauderdale, USA

Prof. Felix Yanovsky, Delft University of Technology, Netherlands

Prospective authors are encouraged to submit a full paper for review by September 18, 2024, in Word or PDF format. Papers will be accepted based on peer review and should contain original, high-quality work. Claims and results should be substantive enough to be further developed as quality work. All papers must be written in English. The length of the standard paper submitted is 7–8 pages, including figures and references. An extra page fee will be paid for the number of pages exceeding 8 pages, while the maximum length is 13 pages(Paper Word Templates, Conference paper example), including figures and references.

>>Online Paper Submission<<

If the authors have some problems during the paper submission, please contact us or submit your paper by e-mail: aimee@icics.net.

中国作者可以直接邮件投稿!

会议论文模板

会议论文样本

Felix J. Yanovsky

IEEE Life Fellow

Delft University of Technology, The Netherlands

National Aviation University “Kyiv Aviation Institute”, Ukraine

Keynote Speech

Title: Advanced Data Processing in Multi-instrument Transdisciplinary Engineering: Recent Experience from Meteorology and Climatology

Abstract: Multi-instrument transdisciplinary engineering is essential for solving complex challenges across various scientific and technical fields, as it enables the integration of diverse data sources and expertise for more comprehensive analysis and problem-solving. In this keynote, we focus on recent advancements in multi-instrument data processing, using atmosphere monitoring as a key example. The integration of different measurement tools, particularly in atmospheric research, has significantly improved the accuracy and reliability of meteorological and climatological analyses. This talk will consider the advanced data fusion techniques employed to manage large, heterogeneous datasets from instruments like millimeter-wave radars, disdrometers, microwave radiometers and weather stations.

Building on recent research experience, we will demonstrate the integration of radar data with non-radar observations to generate more detailed insights into cloud structures, precipitation, and other atmospheric phenomena. Examples from field experiments, such as those in Cabauw, the Netherlands, will be presented to illustrate how these techniques enhance the calibration of W-band cloud radar with supplementary sensor data. A demonstration of specialized software for multi-instrument data processing, fusion, and calibration will further highlight the critical role of transdisciplinary engineering in advancing meteorology and climatology, creating the way for improved real-time forecasting and climate monitoring.

Prof. Harrison Hao Yang

Distinguished Teaching Professor, State University of New York

Department of Curriculum and Instruction, School of Education, State University of New York at Oswego

Keynote Speech

Title: Digital Citizenship in the Age of AI: The Shift from Information Consumers to Creators

Abstract: This is a keynote presentation about digital citizenship in the context of AI; the focus is on moving from information consumerism to creation. The study looks at how AI technologies are transforming content and digital engagement by highlighting key competencies: media literacy, ethics awareness, and responsible use of AI. The audience will take away messages on both opportunities and challenges associated with AI when it comes to shaping education and digital society. It gives practical examples and forward-looking perspectives that provide insight into the changing roles that individuals and educators have in a world moving forward with technology.

Prof. Yuriy Ushenko

Yuriy Ushenko is a Professor at the Computer Science Department, Chernivtsi National University, Chernivtsi, Ukraine. Research Interests: Data Mining and Analysis, Computer Vision and Pattern Recognition, Optics & Photonics, Biophysics. His research interests include information systems design, data mining, pattern recognition and digital image processing, artificial neural networks, laser polarimetry and interferometry.

Keynote Speech

Title: Hybrid optimization for medical drones with big data processing using BPSO and GA

Abstract: The need for prompt medical care in conditions of limited access to medical facilities is analyzed, which stimulates the development of innovative solutions based on unmanned aerial vehicles (UAVs). A hybrid approach is proposed to optimize medical drones used for patient diagnosis based on a combination of a binary swarm algorithm (BPSO) and a genetic algorithm (GA). The proposed hybridization model of these two methods not only enhances the efficiency of collecting and processing diagnostic data but also enables effective handling of large data volumes, while improving the accuracy and speed of diagnosis. The advantages of the proposed approach in comparison with the individual uses of BPSO and GA are presented. The results of using the hybrid algorithm for further improvement of autonomous medical drone systems, in particular in emergency situations, are presented.

Registration Fee

RegistrationRegistration FeeExtra page
Regular Authors (Before 30 September 2024)400 USD50 USD
Regular Authors (After 30 September 2024)450 USD50 USD
Student Authors370 USD50 USD
Keynote SpeakerFree
Authors (ICICS Member)Free

Payment Rules

1. After complete the registration payment, the ordinary VAT invoice as a proof of payment will be issued.

2. The registration fee will not be refunded for any reasons.

Huangshi, alternatively romanized as Hwangshih, is a prefecture-level city in southeastern Hubei province, People's Republic of China. Its population was 2,469,079 inhabitants at the 2020 census; 1,567,108 of whom lived in the built-up (or metro) area made up of 4 urban districts plus the city of Daye, now being part of the agglomeration.

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Wuhan University of Technology, China

Polish Operational and Systems Society, Poland

Hubei University of Technology, China

Wuhan Textile University, China

Wuhan Technology and Business University, China

National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

International Center of Informatics and Computer Science, Hong Kong, China

International Research Association of Modern Education and Computer Science, Hong Kong, China

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The Secretary of AIMEE2024

Email: aimee@icics.net