December 12, 2025

From Digital Twins to No-Code Automation: ICON-AI 2025 Delivers High-Impact AI Training

KUALA LUMPUR, Nov 13 – The International Conference on Artificial Intelligence and Its Applications (ICON-AI 2025), organized by the Faculty of Artificial Intelligence (FAI) at Universiti Teknologi Malaysia (UTM) in Kuala Lumpur,  delivered two high-impact, hands-on workshops that strengthened participants’ understanding of applied artificial intelligence.

Both sessions were led by Assoc. Prof. Ts. Dr. Roslina Mohammad, together with the ICON-AI Workshop Committee, comprising Assoc. Prof. Sr. Dr. Siti Uzairiah Mohd Tobi, Assoc. Prof. Ts. Dr. Norazli Othman, Ts. Dr. Suraya Yaacob and Dr. Hayati @ Habibah Abdul Talib. Conducted at Menara Razak, UTM Kuala Lumpur, the workshops offered an engaging platform for professionals, researchers, and students to explore cutting-edge AI innovations.

Workshop 1, titled “AI Driven Digital Twins Transforming Asset Monitoring and Maintenance,” was delivered by Prof. Dr. Norhazilan Md Noor from the Faculty of Civil Engineering (FKA), UTM Johor Bahru, supported by experienced facilitators, Ts. Dr. Mohamad Shazwan Ahmad Shah and Dr. Hanis Hazirah Arifin.

This workshop provided an advanced dive into Digital Twin technology through a real-world offshore pipeline case study. Participants learned how static 3D engineering models are transformed into intelligent, self-updating digital replicas using real-time operational data, sensor feedback, and AI-driven behavioural analytics.

Participants of the Digital Twin workshop at ICON-AI 2025 are joining Prof. Dr. Norhazilan Md Noor for a group photo. The session provided deep technical insights into AI-driven pipeline monitoring and predictive maintenance strategies

The workshop highlighted how historical inspection records, environmental conditions, and machine learning models enable rapid predictions of pipeline stress and deformation, far exceeding the speed and adaptability of traditional finite element approaches. The session also demonstrated how digital twins support smarter maintenance scheduling, asset life extension, and carbon reduction strategies, positioning them as essential tools in modern infrastructure management.

Workshop 2 titled “Introduction to n8n Building AI-Integrated Workflows Without Coding Limits” was conducted by Ts. Zaaba Ahmad from Universiti Teknologi MARA (UiTM) Perak Branch, Seri Iskandar Campus, with facilitation by Dr. Mohd Faaizie Darmawan. This beginner-friendly session guided participants through building automated, AI-enhanced workflows using n8n, a powerful open-source platform.

Participants were introduced to essential automation concepts, including triggers, logical routing, and cloud or local deployment. Hands-on modules enabled them to integrate real-world tools such as Google Sheets, Gmail, Notion, SQL databases, WhatsApp API, and AI services, including ChatGPT, without writing complex code. The practical demonstrations showed how educators, administrators, and innovators can streamline processes, reduce repetitive tasks, and implement intelligent digital solutions with ease.

Participants of the n8n workflow automation workshop posing together after an engaging hands-on session at Menara Razak. The workshop equipped attendees with practical skills in building AI-integrated workflows without coding barriers

Both workshops successfully bridged theoretical AI concepts with practical engineering and digital innovation applications. From predictive digital twins to real-time workflow automation, participants gained actionable skills that can be immediately applied in research, education, industrial operations, and organisational digital transformation efforts.

The strong reception of the ICON-AI 2025 workshop series reflects UTM’s commitment to advancing AI capability development in line with the conference theme “Artificial Intelligence for the Betterment of Humanity.” Through focused training programmes and strategic collaborations, FAI continues to position UTM as a leader in fostering AI-powered innovation and elevating Malaysia’s readiness for a technology-driven future.

 

By Assoc. Prof. Ts. Dr. Roslina Mohammad and Dr. Hayati @ Habibah Abdul Talib, Faculty of Artificial Intelligence, UTM Kuala Lumpur

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