Bangkok | Teerapong Panboonyuen

ASEAN Young Scientists Connect 2026 Pitching Trans-GMS LLM at Dusit Thani Bangkok

Tue, 19 May 2026 09:00:00 +0000

Field Report from Bangkok

At ASEAN Young Scientists Connect (AYSC) 2026, hosted at Dusit Thani Bangkok, researchers and innovators from across Southeast Asia gathered to discuss the future of artificial intelligence, healthcare technologies, and regional scientific collaboration. Among the featured presentations was Trans-GMS LLM, a multilingual medical AI initiative designed for low-resource healthcare environments across the Greater Mekong Subregion.

The event created a collaborative platform for young scientists, engineers, and researchers from ASEAN countries to exchange ideas on trustworthy AI, multilingual technologies, and inclusive innovation strategies capable of addressing regional healthcare challenges.

Pitching Trans-GMS LLM in Three Minutes

One of the most challenging aspects of the session was translating a technically complex research project into a concise and compelling three-minute scientific pitch.

The presentation introduced Trans-GMS LLM, a multilingual large language model designed to support healthcare communication and medical intelligence across linguistically diverse Southeast Asian regions, including:

Thailand
Laos
Cambodia
Myanmar
Vietnam
Malaysia
Singapore
Indonesia
Philippines
Brunei
Timor-Leste
China (Greater Mekong Subregion contex, Yunnan & Guangxi)

Unlike globally dominant language models trained primarily on high-resource English datasets, Trans-GMS LLM focuses on underserved regional languages where healthcare communication remains difficult due to limited digital infrastructure and scarce annotated medical corpora.

Rethinking Medical AI for Southeast Asia

The project approaches multilingual healthcare AI as a regional accessibility challenge rather than a purely computational problem.

Building effective healthcare AI for Southeast Asia requires more than larger models. It requires culturally grounded language technologies capable of operating reliably across diverse linguistic and resource-constrained environments.

The discussion emphasized several major research directions:

Developing multilingual medical reasoning capabilities for ASEAN languages
Improving healthcare accessibility through localized AI systems
Supporting trustworthy AI deployment in low-resource environments
Enabling regional collaboration between ASEAN researchers and institutions

By positioning Southeast Asian languages as central design priorities rather than secondary adaptation targets, the project highlights the importance of inclusive AI development for emerging regions.

A Regional Conversation on Trustworthy AI

Beyond the technical presentation, the event reflected the growing momentum of scientific collaboration within ASEAN.

Researchers exchanged perspectives on:

Cross-border AI research collaboration
Responsible deployment of medical AI systems
Data accessibility and multilingual representation
Sustainable AI ecosystems for developing economies
The future of regional language technologies

The atmosphere emphasized a shared vision of building AI systems grounded in local realities while remaining globally relevant.

Why This Matters

Large language models are rapidly transforming healthcare and scientific research, yet many low-resource communities remain excluded due to language barriers and limited infrastructure.

Projects such as Trans-GMS LLM aim to reduce these gaps by exploring how multilingual foundation models can support:

Healthcare communication
Clinical knowledge access
Medical education
Decision-support systems
Regional healthcare collaboration within ASEAN

The initiative demonstrates how trustworthy and culturally aware AI systems can contribute to more equitable access to healthcare technologies across Southeast Asia.

Looking Forward

ASEAN Young Scientists Connect 2026 demonstrated that the future of AI in Southeast Asia will depend not only on technological innovation, but also on regional collaboration, interdisciplinary thinking, and inclusive research ecosystems.

Presenting Trans-GMS LLM at Dusit Thani Bangkok was more than a technical presentation — it was an opportunity to contribute to a broader regional conversation about the future of trustworthy, multilingual, and accessible AI for ASEAN communities.

I would like to sincerely thank my new friends in Group 4 at ASEAN Young Scientists Connect 2026 for the inspiring discussions, collaborative spirit, and thoughtful exchange of ideas throughout the event. Working together on regional AI and healthcare challenges made the experience both intellectually enriching and genuinely memorable. I truly appreciate the openness, creativity, and energy everyone brought to the group, which made our short time together feel impactful and meaningful. I am grateful to have shared this journey with such talented and forward-thinking peers across the region.

Overall, ASEAN Young Scientists Connect 2026 at Dusit Thani Bangkok was an inspiring and impactful experience that brought together diverse minds across Southeast Asia to exchange ideas on science, technology, and regional innovation. The event created a rare and valuable space for meaningful dialogue on how AI and emerging technologies can address real-world challenges, particularly in healthcare and low-resource settings. I am sincerely grateful to the organizers for their excellent coordination and for fostering such a vibrant and collaborative environment. It was an honor to be part of this gathering, and I leave with deep appreciation for the connections made, the insights shared, and the shared vision of advancing science for the benefit of the region.

AutoTech in Transition Exploring the Future of Automotive AI at BITEC Bangkok

Fri, 15 May 2026 11:30:00 +0000

Field Report from Bangkok

At AutoTech Aftermarket Summit 2026, hosted at BITEC Bangkok, industry leaders, engineers, researchers, and innovators gathered to discuss the future of automotive technology, intelligent infrastructure, and AI-driven operational systems.

The summit was organized as part of:

TyreXpo Asia Bangkok 2026
AutoMROtive 2026

This year’s conference focused heavily on how artificial intelligence is reshaping the automotive aftermarket ecosystem through intelligent diagnostics, predictive maintenance, automation systems, and scalable operational technologies.

At 11:30 AM, I joined the session:

AutoTech in Transition: Current Trends and Future Trajectories

where I participated as:

Dr. Teerapong Panboonyuen
Senior Research Scientist, Head of AI, MARSAIL

The session explored how AI technologies are moving from research environments into production-grade automotive operations capable of supporting large-scale industrial workflows and intelligent service ecosystems.

Bridging AI Research and Automotive Operations

One of the major themes discussed during the session was the growing convergence between AI research, engineering infrastructure, and real-world automotive deployment.

The discussion explored several important areas:

AI-powered operational transformation in automotive industries
Intelligent diagnostics and predictive maintenance systems
Computer vision infrastructure for industrial deployment
Scalable AI engineering in fragmented operational environments
Future directions for intelligent automotive systems
Startup perspectives on sustainable AI innovation

Rather than treating AI as an isolated technology trend, the session emphasized the importance of building deployable systems capable of solving real operational challenges across automotive ecosystems.

AI becomes truly valuable when research, engineering, and deployment converge into systems that solve real operational problems.

The automotive aftermarket industry presents unique challenges involving operational complexity, fragmented infrastructures, and rapidly evolving customer expectations. These conditions create strong opportunities for scalable AI systems capable of improving efficiency, automation, diagnostics, and intelligent decision-making across the industry.

The Rise of Production Automotive AI

Over the past several years, automotive AI has evolved rapidly from experimental prototypes into deployable production systems capable of supporting real operational environments.

At MARSAIL, much of our work focuses on:

Computer vision systems for automotive intelligence
Production AI infrastructure
Scalable deployment pipelines
Real-world operational AI integration
Intelligent inspection and recognition systems

The session highlighted how modern automotive AI increasingly requires collaboration between:

AI researchers
software engineers
infrastructure architects
enterprise technology providers
mobility companies
automotive operators

This convergence is accelerating the emergence of intelligent automotive ecosystems where AI systems operate continuously within real industrial workflows rather than isolated research environments.

A Convergence of Industry and Emerging Technologies

One of the most interesting aspects of AutoTech Aftermarket Summit 2026 was observing how traditional automotive industries are beginning to merge with modern AI infrastructure and intelligent software ecosystems.

The conference brought together professionals from:

OEMs
automotive service providers
AI startups
workshop technology platforms
infrastructure companies
fleet operators
enterprise solution providers
researchers and engineers

This created an interdisciplinary environment where discussions extended beyond automotive technologies themselves into broader conversations surrounding:

operational scalability
infrastructure modernization
intelligent automation
mobility innovation
future industrial ecosystems

The summit reflected a growing realization that the future automotive industry will increasingly depend on intelligent software infrastructure operating alongside physical mobility systems.

Looking Toward the Future of Automotive Intelligence

The transition occurring across the automotive industry is not simply about adding AI features into existing systems.

It represents a larger shift toward intelligent operational ecosystems capable of supporting:

autonomous diagnostics
predictive infrastructure maintenance
intelligent workflow orchestration
adaptive customer experiences
large-scale operational optimization

As AI systems continue evolving, the distinction between research systems and production infrastructure is becoming increasingly blurred.

Events such as AutoTech Aftermarket Summit 2026 create valuable opportunities for researchers, engineers, startups, and industry leaders to exchange ideas on how emerging AI technologies can be deployed responsibly and effectively at scale.

Presenting at BITEC Bangkok was more than a technical discussion — it was an opportunity to contribute to a broader conversation about how intelligent systems, AI engineering, and digital infrastructure will shape the next generation of automotive ecosystems.

I would like to sincerely thank Stefanie Tan from Informa Markets Singapore for the invitation and warm hospitality throughout the event. I also deeply appreciate the insightful conversations and engaging discussions shared during the summit, which made the experience both professionally meaningful and personally memorable. It was an honor to contribute perspectives from MARSAIL and exchange ideas with industry leaders, engineers, researchers, and innovators shaping the future of automotive intelligence and operational AI systems.

Overall, AutoTech Aftermarket Summit 2026 at BITEC Bangkok was an inspiring and forward-looking experience that highlighted the growing convergence between artificial intelligence, intelligent infrastructure, and the automotive industry. The summit demonstrated how emerging technologies are transforming operational workflows, mobility ecosystems, customer experiences, and industrial services at scale. I am sincerely grateful to the organizers, speakers, and participants for creating such a collaborative and insightful environment. The event reinforced the importance of bridging AI research with production engineering and real-world deployment while opening valuable conversations about the future trajectory of intelligent automotive systems in Southeast Asia and beyond.