ASMAS 2023

ASMAS 2023

Ton Duc Thang University is organizing The 2nd International Conference on Advanced Smart Materials and Structures (ASMAS 2023) on June 28th – 30th, 2023 which includes the Call for Paper and the Official Conference Website. Authors are invited to submit Abstract and Full papers with a maximum length of 6 pages via Conference email at The high-quality papers will be invited to expand and submit to the special issues of the following journal: Journal of Intelligent Material Systems and Structures (ISI).

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Important Dates:

Abstract Submission deadline: February 15th, 2023
Full paper submission deadline: April 15th, 2023
Notification of full-paper acceptance: May 15th, 2023
Registration deadline: May 30th, 2023
Conference date: June 28th – 30th, 2023


Prof. Seung-Bok Choi – The State University of New York, Korea (SUNY Korea)
Prof. Weihua Li – University of Wollongong, Australia
Prof. Le Khanh Chau – Ton Duc Thang University, Vietnam
The submission should describe original research works in topics and technical areas of interest including but not being limited to the following:
Mathematical Models: Neural Networks; Fuzzy Logic; Hybrid Intelligent Models, …
Smart Materials: Electrorheological and Magnetorheological Fluids; Magnetorheological Materials; Shape Memory Alloys; Piezoelectric Materials; Electro-Active Polymers; Soft Functional Materials; Sensor; …
Data Science: Filtering noise & processing data; Evolving-data stream; Big data; Data mining; Deep learning; …
Nonlinear Control, Automation, and Robotics: Identification; Prediction; Control; Robotics; Bio-mechatronics; …
Computational Mechanics and AI-based applications: Structural analysis using smart materials; Structural Optimization; Structural health monitoring; AI-based applications for structures; …
Graphene-based Metamaterial and Structures: Terahertz Solar Absorber; Metasurface; Biosensor; Optical Resonator; Optically Transparent Antenna; …
Data-driven decision-making: Knowledge graph-based recommendation systems; AI-inspired big data analytics; Failure monitoring of structure using big data; Structural health monitoring and life cycle analysis; Forecasting Model in Smart Grid.
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