Hybrid Conferencee

International Conference on AI-driven Data Science for Smart Manufacturing (ICIADSM - 26)

7th - 8th October 2026 | Freetown, Sierra Leone

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Freetown. 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 Freetown 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 Freetown conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Freetown, 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 Freetown."
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 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

AI-Driven Industrial Automation

This track focuses on the integration of artificial intelligence in industrial automation processes. It aims to explore innovative AI methodologies that enhance operational efficiency and reduce human intervention.

Track 02

Predictive Maintenance Techniques

This session will delve into advanced predictive maintenance strategies powered by data analytics and machine learning. Participants will discuss case studies and frameworks that optimize maintenance schedules and reduce downtime.

Track 03

Digital Twins in Manufacturing

This track examines the role of digital twins in simulating and optimizing manufacturing processes. Researchers will present their findings on how digital twin technology can enhance decision-making and operational performance.

Track 04

Real-Time Production Analytics

Focusing on real-time data collection and analysis, this session will highlight tools and techniques for monitoring production efficiency. Discussions will include the impact of real-time analytics on decision-making and production outcomes.

Track 05

Quality Control with AI

This track explores the application of artificial intelligence in quality control processes within manufacturing. Participants will share insights on AI-driven inspection techniques and their effectiveness in ensuring product quality.

Track 06

Robotics in Manufacturing

This session will cover the latest advancements in robotics and their applications in smart manufacturing environments. Topics will include collaborative robots and their role in enhancing productivity and safety.

Track 07

Process Optimization through Machine Learning

This track focuses on the use of machine learning algorithms for optimizing manufacturing processes. Presentations will address various methodologies and their impact on efficiency and cost reduction.

Track 08

Supply Chain Integration with AI

This session will investigate how artificial intelligence can facilitate seamless integration across supply chain networks. Discussions will include AI applications that enhance visibility, responsiveness, and collaboration.

Track 09

Sensor-Driven Manufacturing Innovations

This track will explore the role of sensors in driving innovation within manufacturing settings. Participants will discuss how sensor data can be leveraged for improved monitoring and control of production processes.

Track 10

Industrial IoT Applications in Smart Manufacturing

This session will focus on the transformative impact of the Industrial Internet of Things on manufacturing operations. Topics will include connectivity, data management, and the integration of IoT devices into production systems.

Track 11

Energy-Efficient Production Strategies

This track will examine strategies for achieving energy efficiency in manufacturing through data-driven approaches. Researchers will present innovative solutions that minimize energy consumption while maintaining productivity.