International Conference on Advances in Engineering Systems on March 15-17, 2027 in Ho Chi Minh City, Vietnam - Conference Index

International Conference on Advances in Engineering Systems on March 15-17, 2027 in Ho Chi Minh City, Vietnam

International Conference on Advances in Engineering Systems March 15, 2027 - Ho Chi Minh City, Vietnam

The idea of VIETNAM 7th International Conference on Advances in Engineering Systems (VAES-27) scheduled on March 15-17, 2027 Ho Chi Minh City (Vietnam) is for the researchers, scientists, scholars, engineers and practitioners from all around the world to present and share ongoing research activities. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.

Presentation Options:

Oral Presentation at Conference Venue (in Physical Presence)

Poster Presentation at Conference Venue (in Physical Presence)

ONLINE (video presentation with WhatsApp/viber/Skype)

OFFLINE (creating PowerPoint presentation without/with recorded voice for conference participants)

All registered papers will be online at ISBN DOI Indexed Conference Proceedings OR in the ISSN journals.

SCOPUS / World of Science-ESCI Indexed Journals (OPTIONAL): All registered papers can be published online in the SCOPUS or World of Science-ESCI Indexed Journal with additional charges.

Call for papers/Topics

Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields:

1. Advanced Core Mechanics and Physics

Deformable and Rigid-Body Mechanics: High-fidelity structural analysis applying advanced Newtonian physics to analyze loads, internal forces, shear, and moments under dynamic conditions.

Advanced Fluid Dynamics: Experimental, analytical, and computational modeling utilizing the Navier-Stokes equations and dimensionless parameters (Reynolds, Froude, and Mach numbers) to predict fluid-structure interactions.

Multiphysics Engineering: The study of coupled systems simultaneously involving mechanical, thermal, electrical, and chemical reactions (e.g., modern welding flux, acoustic-thermal boundaries).

2. Next-Generation Energy and Process Systems

Advanced Clean Fuel Technologies: Breakthroughs in bioenergy, biofuels, and hydrogen production/storage systems.

Electrochemical and Thermal Energy Storage: Optimization of fuel cells, electrolyzers, membrane reactors, and advanced grid batteries.

Carbon Capture, Utilization, and Storage (CCUS): Engineering scalable chemical and mechanical networks to isolate and convert carbon emissions.

3. Robotics and Embedded Hardware Infrastructure

Kinematics, Dynamics, and Control Theory: Foundations of physical robot motion, gait mimicking, and path-planning automation.

Embedded Microprocessors and Sensors: Next-generation hardware, edge-processing distance sensors, and motor-actuation controllers.

Hardware-in-the-Loop (HIL) Testing: Physical hardware simulation under virtual constraints to isolate system behaviors before deployment.

4. Smart Engineering Systems and Industry 4.0

Cyber-Physical Systems (CPS): Seamlessly embedding physical machinery with digital communication networks, enabling real-time self-diagnosis.

Industrial Internet of Things (IoT): Large-scale sensory mesh networks feeding structural and process telemetry data into centralized clouds.

Digital Twins and Virtual Reality (VR): Real-time digital mirroring of complex operational assets to run risk-free simulations and optimize engineering designs.

5. Advanced Systems Engineering (ASE) paradigms

Model-Based Systems Engineering (MBSE): Transitioning from document-based systems to digital, centralized system modeling languages (e.g., SysML) to track complete system lifecycles.

Axiomatic Design and Robust Design Methodologies: Formalized mathematical frameworks to evaluate system complexity, error mitigation, and quality metrics over time.

Multi-Objective Refactoring & System Optimization: Algorithmic workflows engineered to handle multi-domain trade-offs, such as maximizing structural integrity while minimizing weight and economic cost.

6. Artificial Intelligence for Systems Engineering (AI4SE)

Generative Design Algorithms: The convergence of AI and quantum-parametric design spaces to automatically engineer optimized geometric and material solutions.

Predictive Maintenance Frameworks: Implementing neural networks, support vector machines, and decentralized federated learning models to predict catastrophic equipment failures without data privacy breaches.

Trustworthy and Explainable AI (XAI): Developing tracing mechanics to ensure algorithmic accountability and human-interpretable outputs within automated engineering tasks.

7. Sustainable and Circular Engineering Ecosystems

Life-Cycle Assessment (LCA) Systems: Engineering software and metrics to evaluate the complete carbon and waste footprint of a system from raw material extraction to decommissioning.

Smart Grid Integration: Combining process engineering, renewable sources (wind, solar), and smart load distribution algorithms to accommodate decentralized energy architecture.

Circular Economy Engineering Manufacturing: Systems designed specifically for modular disassembly, material upcycling, and zero-waste production lifecycles.

Name: ICEEAT
Website: http://iceeat.heaig.org

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