AIMEE2024: The 8th International Conference of Artificial Intelligence, Medical Engineering, Education
October 26 - October 27 , 2024 , Huangshi, China
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Authors are invited to submit original, unpublished manuscripts that demonstrate recent advances in the following areas of interest, but are not limited to: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.
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！
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.
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.
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
| Registration | Registration Fee | Extra page |
| Regular Authors (Before 30 September 2024) | 400 USD | 50 USD |
| Regular Authors (After 30 September 2024) | 450 USD | 50 USD |
| Student Authors | 370 USD | 50 USD |
| Keynote Speaker | Free | |
| 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.
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
Coming soon...
The Secretary of AIMEE2024
Email: aimee@icics.net