Hybrid Conferencee

International Conference on Smart Manufacturing and Data Mining (ICSMDM - 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 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
SDG 13
SDG 13 Climate Action
Track 01

Innovations in Smart Manufacturing Technologies

This track focuses on the latest advancements in smart manufacturing technologies, emphasizing the integration of data mining techniques. Participants will explore how these innovations enhance operational efficiency and productivity.

Track 02

Data Mining Applications in Industrial IoT

This session highlights the role of data mining in the Industrial Internet of Things, showcasing case studies and applications. Attendees will discuss how data-driven insights can optimize industrial processes and improve decision-making.

Track 03

Predictive Maintenance Strategies

This track delves into predictive maintenance methodologies powered by data mining and machine learning. The focus will be on how these strategies can reduce downtime and enhance equipment reliability in manufacturing settings.

Track 04

Process Optimization Techniques

Participants in this session will examine various data mining techniques for process optimization in manufacturing environments. The discussions will center on methodologies that lead to improved efficiency and reduced operational costs.

Track 05

Production Analytics and Performance Metrics

This track addresses the use of data analytics in monitoring and improving production performance. Attendees will explore key performance indicators and analytical methods that drive manufacturing excellence.

Track 06

Digital Twin Technology in Manufacturing

This session focuses on the application of digital twin technology in smart manufacturing. Participants will discuss how data mining can enhance the accuracy and utility of digital twins for real-time monitoring and simulation.

Track 07

Machine Learning for Quality Control

This track investigates the application of machine learning algorithms in quality control processes. The session will highlight how data mining can identify defects and improve product quality in manufacturing.

Track 08

Workflow Efficiency through Data Mining

This session explores how data mining techniques can streamline workflows in manufacturing environments. Discussions will focus on optimizing resource allocation and minimizing bottlenecks.

Track 09

Big Data Analytics in Smart Manufacturing

Participants will examine the impact of big data analytics on smart manufacturing processes. This track will highlight the challenges and opportunities presented by large datasets in driving innovation.

Track 10

Sustainability and Data-Driven Manufacturing

This session focuses on the intersection of sustainability and data mining in manufacturing. Attendees will discuss strategies for reducing environmental impact while maintaining efficiency through data-driven approaches.

Track 11

Emerging Trends in Smart Manufacturing

This track will explore emerging trends and future directions in smart manufacturing, with a focus on data mining innovations. Participants will engage in discussions about the potential impact of these trends on the industry.