Workshop
Workshop on Digital Twin Technology -
DTT
2027
26 February, 2027 - Valletta, Malta
In conjunction with the 19th International Conference on Agents and Artificial Intelligence - ICAART 2027
CHAIR
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Yasushi Kambayashi
Nippon Institute of Technology
Japan
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Short Bio
Dr. Yasushi Kambayashi is an associate professor in the Department of Computer and Information Engineering from the Nippon Institute of Technology. He worked at Mitsubishi Research Institute as a staff researcher before joining the Institute. His research interests include theory of computation, theory and practice of programming languages, and political science. He received his PhD in Engineering from the University of Toledo, his MS in Computer Science from the University of Washington, and his BA in Law from Keio University. He is a committee member of the Japan Information-Technology Engineers Examination, a Fellow of IARIA, a committee member and the industry research chair of IARIA International Multi-Conference on Computing in the Global Information Technology and IARIA International Conference on Advances in P2P Systems, a committee member of Asia Pacific Symposium on Intelligent and Evolutionary Systems, an editorial board member of International Journal on Advances in Internet Technology, a review committee member of Peer-to-Peer Networking and Applications, and a member of ACM, IEEE Computer Society, Tau Beta Pi, IPSJ, JSSST, IEICE System Society, IADIS, and Japan Flutist Association.
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SCOPE
Digital twin technology integrates the physical and digital worlds to accurately represent real-world systems, predict future conditions, and support optimal decision-making. This workshop promotes collaboration among researchers in artificial intelligence, mathematical modeling, and data assimilation to advance predictive analytics and intelligent decision support. The program focuses on three core themes: Pattern Recognition and Prediction, Physics-Based Modeling and Numerical Analysis, and Data Assimilation and Multimodal Data Integration. By bringing together scientists and practitioners from diverse disciplines, the workshop aims to deepen understanding of the fundamental technologies underpinning next-generation digital twins. It also provides a forum for exchanging ideas, addressing current challenges, and exploring future research directions, thereby fostering innovation and progress in this rapidly evolving field and its applications.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Pattern Recognition
- Mathematical Modeling
- Numerical Analysis
- Data Assimilation
- Multimodal Data Integration
- Machine Learning
- Inductive Logic Programming
- Simulation
- AI Empowered Software Engineering
IMPORTANT DATES
Paper Submission:
December 3, 2026
Authors Notification:
December 21, 2026
Camera Ready and Registration:
January 8, 2027
WORKSHOP PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).