Hong Kong-DMCIT 2024 : 2024 8th International Conference on Data Mining, Communications and Information Technology (DMCIT 2024)
Call For Papers
DMCIT 2024：2024 8th International Conference on Data Mining, Communications and Information Technology (DMCIT 2024)
2024 8th International Conference on Data Mining, Communications and Information Technology (DMCIT 2024)
Hong Kong | May 24-26, 2024
2024 8th International Conference on Data Mining, Communications and Information Technology (DMCIT 2024)is organized by Asia Pacific Institute of Science and Engineering(APISE), media supported by Internet of Things Technologies, Modern Electronics Technique, Journal of Xidian University, Journal of Information and Intelligence, OPTICAL COMMUNICATION TECHNOLOGY, Telecommunication Engineering, and will be held in Hong Kong from May 24 to 26, 2024.
This conference aims to provide a platform for researchers and engineers to share their ideas, recent developments and successful practices in data mining, communication and the related topics in information technology. It is expected that with the face to face discussions among peers from different but related areas, new ideas, methodologies and technologies can be produced, and collaborations among researchers in different countries can be facilitated.
We look forward to meeting you in Hong Kong!
● Publication & Indexing
1) All the registered and presented papers will be included in the volume of DMCIT 2024 conference proceeding(online publishing). The publisher will submit articles to Engineering Village, Scopus, Web of Science and other databases for review and indexing after publication.
2) Selected papers with great extension will be recommended to publish in international journal.
Prof. Xianbin Wang, Western University, Canada
Dr. Xianbin Wang is a Professor and a Tier-1 Canada Research Chair at Western University, Canada. His current research interests include 5G/6G technologies, Internet of Things, communications security, machine learning, and intelligent communications. He has more than 500 highly cited journals and conference papers, in addition to over 30 granted and pending patents and several standard contributions.
Prof. Raymond Chi-Wing WONG, The Hong Kong University of Science and Technology, Hong Kong
Raymond Chi-Wing Wong is a Professor in Computer Science and Engineering (CSE) of The Hong Kong University of Science and Technology (HKUST). He was the Director of the Computer Engineering (CPEG) Program from 2014 to 2016 and was the Associate Director of the Computer Engineering (CPEG) Program from 2012 to 2014. He received the BSc, MPhil and PhD degrees in Computer Science and Engineering in the Chinese University of Hong Kong (CUHK) in 2002, 2004 and 2008, respectively. In 2004-2005, he worked as a research and development assistant under an R&D project funded by ITF and a local industrial company called Lifewood.
Prof. STEVEN GUAN, Xi'an Jiaotong-Liverpool University, China
Steven Guan received his BSc. from Tsinghua University and M.Sc. & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor at Xi'an Jiaotong-Liverpool University (XJTLU) and Honorary Professor at University of Liverpool. He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined the academia for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor for 8 years. Prof. Guan’s research interests include: machine learning, computational intelligence, big data analytics, mobile commerce, modeling, networking, personalization, security, and pseudorandom number generation.
Prof. Chin-Chen Chang, Feng Chia University, Taiwan ROC
Professor Chang has worked on many different topics in information security, cryptography, multimedia image processing and published several hundreds of papers in international conferences and journals and over 37 books. He was cited over 46,765 times and has an h-factor of 98 according to Google Scholar. Several well-known concepts and algorithms were adopted in textbooks. He also worked with the National Science Council, Ministry of Technology, Ministry of Education, Ministry of Transportation, Ministry of Economic Affairs and other Government agencies on more than 100 projects and holds 33 patents, including one in US and sixteen in China. He served as Honorary Professor, Consulting Professor, Distinguished Professor, Guest Professor at over 60 academic institutions and received Distinguished Alumni Award's from his Alma Master's.
● Topics of interest include, but are not limited to:
1. Core Data Mining Topics
Data Transformation and Dimensionality Reduction
Feature Extraction and Feature Selection
Data Mining Algorithms
Data Analytics Foundations
Real-time Mining, Data Stream Mining, and Dynamic Data Mining
Visual Mining and Data Visualization
Statistical Learning Theory and Neural Network Research
Graph Mining and Semi-Structured Data
Spatial and Temporal Data Mining
Uncertainty Modeling in Data Mining
2. Information Technology Applications Related Topics:
Machine Learning for Multimedia
Human Computer Interaction
Biometric Identification Technology
Robot Vision Applications
Virtual Reality and Augmented Reality
E-Commerce, E-Business and E-Learning
Web Information Systems
Web Content Generation and Management
Telecommunication and Wireless Communications
Data Modeling and Engineering
Healthcare Applications and Medical Diagnosis
Security and Forensic Applications
IT Software Development and Methodology
IT Applications for Agriculture Management
Other Industrial Applications
The Latest Advances in IT
3. Data Mining For Intelligent IT Application Topics:
Convergence of Data Mining and Intelligent IT
How Data Mining Techniques have been used in IT Applications
Novel Applications of Intelligent IT Techniques for Complex Systems
Robustness and Scalability Issues of Intelligent IT Techniques
Agent-based Data Analysis and Knowledge Discovery
Intelligent Multi-gent Systems
Intrusion Detection and Access Control Techniques
Data-mining Applications for Terrorist Network Tracing
Crime Modeling, Fraud and Misuse Detection
Credit Scoring, Financial Modeling and Forecasting
CRM, e-Marketing and e-Commerce Recommender
Decision Analysis and Decision Support Systems
Industrial Applications of Business Analytics and Optimization
Performance Evaluation in Intelligent IT Applications
Emerging Intelligent IT Applications and Lessons Learned
4. Communication Engineering Related Topics:
Infrastructure for Next Generation Networks
Information & Communication
New Communication Technologies
Visual Arts & Visual Communication Design
Information Technology Application
DSP Algorithms & Architectures
More information can be found at: https://www.dmcit.net/CFP.html
● Paper Submission
Submission Email: firstname.lastname@example.org
1) Manuscripts must be written in English;
2) The manuscript should be written in accordance with the standard of template;
3) The topics of paper should be relevant to conference topics;
4) Plagiarism and Duplicate submission are prohibited;
5) Innovation and scientific value is a must.
● Call for participants
1. Presenter: If you are interested in giving presentation on conference, without publishing your paper in the proceeding, you need to submit the abstract and title of your presentation to us: email@example.com
2. Listener: You are welcome to attend this great event. You need to complete the registration as Listener before the registration dealdine. Send email to firstname.lastname@example.org for further information.
3. Reviewer: We sincerely welcome experts in the areas above join the conference as reviewer.
● Contact us
Ms. Alisa Zhu