Hybrid Conferencee

International Conference on Thermo-Fluid Systems and Data Mining Approaches (ICTFSDMA - 26)

8th - 9th September 2026 | Hue, Vietnam

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Hue. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Hue event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Hue conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Hue, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Hue."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Heat Transfer Analytics

This track focuses on innovative data mining techniques applied to heat transfer processes. Participants will explore case studies and methodologies that enhance the understanding of thermal dynamics through data-driven insights.

Track 02

Flow Modeling and Simulation Techniques

This session will delve into the latest advancements in flow modeling and simulation within thermo-fluid systems. Researchers are encouraged to present their findings on the integration of data mining approaches to improve model accuracy and efficiency.

Track 03

Predictive Maintenance in Thermo-Fluid Systems

This track addresses the role of data mining in predictive maintenance strategies for thermo-fluid systems. Attendees will discuss methodologies that leverage sensor data to anticipate failures and optimize system performance.

Track 04

Data-Driven Process Optimization

This session emphasizes the application of data mining techniques for process optimization in engineering systems. Participants will share insights on how data analytics can lead to enhanced operational efficiency and reduced energy consumption.

Track 05

Sensor Data Analytics for System Monitoring

This track explores the utilization of sensor data in monitoring thermo-fluid systems. Presenters will discuss data mining approaches that facilitate real-time analysis and decision-making in system management.

Track 06

Energy Efficiency through Data Mining

This session focuses on strategies for improving energy efficiency in engineering applications using data mining techniques. Researchers will present their findings on how analytics can drive sustainable practices in thermo-fluid systems.

Track 07

Integration of Machine Learning in Thermo-Fluid Systems

This track investigates the intersection of machine learning and thermo-fluid systems. Participants will explore how machine learning algorithms can enhance predictive modeling and data analysis in engineering contexts.

Track 08

Big Data Challenges in Thermo-Fluid Engineering

This session addresses the challenges associated with big data in thermo-fluid engineering. Researchers will discuss data management, processing techniques, and the implications for system design and analysis.

Track 09

Innovative Data Mining Techniques for Flow Analysis

This track highlights novel data mining techniques specifically tailored for flow analysis in thermo-fluid systems. Presenters will share methodologies that improve the understanding of complex flow behaviors.

Track 10

Real-Time Data Analysis in Engineering Applications

This session focuses on the importance of real-time data analysis in engineering applications, particularly in thermo-fluid systems. Participants will discuss tools and techniques that enable immediate insights and actions based on sensor data.

Track 11

Case Studies in Thermo-Fluid Systems Optimization

This track invites presentations of case studies that demonstrate successful applications of data mining in optimizing thermo-fluid systems. Researchers will share practical insights and lessons learned from their experiences.