The 14th International Conference on Advances in Information Technology (IAIT2026) will be held onsite in Bangkok, Thailand, from 17 to 19 June 2026. Organized by the School of Information Technology (SIT), King Mongkut’s University of Technology Thonburi (KMUTT) in collaboration with the IEEE Computational Intelligence Society (IEEE CIS), this year’s conference marks a special milestone—the 30th anniversary of SIT.
IAIT2026 continues its tradition as a globally recognized forum for researchers, scholars, Ph.D. students, and industry professionals to share innovative ideas and emerging trends in information technology. With the theme “Trustworthy AI and Cybersecurity: Foundations for a Resilient Digital Future,” the conference focuses on the convergence of cutting-edge technologies with the urgent need for digital trust, security, and ethical governance in an increasingly AI-driven world.
As artificial intelligence becomes embedded in critical infrastructure, business processes, and everyday life, the demand for responsible, transparent, and secure systems continues to rise. Likewise, ensuring cybersecurity and digital resilience across sectors is more important than ever.
IAIT2026 invites contributions that address the intersection of AI, cybersecurity, data privacy, ethical computing, digital policy, and resilience engineering. The conference fosters interdisciplinary collaboration, encouraging submissions that span technical, human-centric, and policy-related dimensions of digital transformation.
All accepted papers are planned to be published by ACM and indexed in the ACM Digital Library (publication process currently underway), thereby providing global dissemination and high academic visibility through one of the world’s leading scholarly platforms.
We welcome original research, visionary concepts, case studies, and applied industry insights that contribute to the advancement of trustworthy digital technologies. Join us in Bangkok for a special edition of IAIT2026 as we celebrate three decades of academic excellence and shape the future of secure, ethical, and inclusive technology.
IAIT2026 welcomes original and high-quality submissions on a broad range of topics including, but not limited to:
This track explores the foundations, methodologies, and frameworks for building AI systems that are transparent, accountable, and aligned with human values. Topics include algorithmic fairness, bias mitigation, interpretability, and trustworthy design of AI applications in safety-critical domains. Researchers and practitioners are invited to share advances that foster public confidence in AI-driven systems.
Keywords: Trustworthy AI, Explainability, Fairness, Robustness, Responsible AI, AI Governance, AI Security, Adversarial Machine Learning, Model Integrity, Differential Privacy, Federated Learning, Secure AI Deployment
This track focuses on breakthroughs and challenges in generative AI, including large language models (LLMs), multimodal learning, and diffusion-based architectures. Topics include model scaling, optimization, alignment, prompt engineering, hallucination reduction, and cross-domain applications in science, education, and the creative industries.
Keywords: LLMs, Generative AI, Multimodal Models, Prompt Engineering, Diffusion Models, AI Creativity, Model Evaluation
Dedicated to the design and operation of resilient security infrastructures, this track covers threat modeling, detection, and response mechanisms. It includes advances in zero-trust architectures, intrusion detection, cyber forensics, SOC automation, and AI-driven threat intelligence. Submissions are encouraged from both academic research and industry case studies.
Keywords: Cybersecurity, Threat Detection, Zero Trust, SOC Automation, Digital Forensics, Incident Response, Threat Intelligence
This track focuses on blockchain innovations and cryptographic technologies that enhance transparency, privacy, and trust in digital ecosystems. Topics include decentralized identity, smart contracts, privacy-preserving computation, and blockchain-based security frameworks. The track also welcomes studies on interoperability and sustainable blockchain solutions.
Keywords: Blockchain, Smart Contracts, Decentralized Identity, Privacy-preserving Computation, Distributed Ledger, Cryptography
This track explores the governance mechanisms, regulatory frameworks, and trust models that ensure the ethical and secure operation of digital systems. Discussions include digital identity management, compliance frameworks (ISO, NIST, GDPR, PDPA), and public-private collaboration in digital trust. The track seeks research connecting technical innovation with governance and policy development.
Keywords: Digital Governance, Trust Frameworks, Compliance, Risk Management, Digital Identity, AI Regulation, Certification
This track examines the convergence of cloud computing, edge intelligence, and IoT technologies in creating robust and adaptive infrastructures. Topics include edge AI deployment, cloud-native security, IoT data management, and orchestration for critical services. Submissions highlighting system scalability, performance optimization, and fault tolerance are especially welcome.
Keywords: Cloud Computing, Edge AI, IoT Security, Distributed Systems, Orchestration, 5G/6G, Resilient Infrastructure
This track invites research that advances the robustness, transparency, and security of modern AI systems. It covers foundational methods for ensuring fairness, explainability, accountability, and responsible AI behavior, together with security-focused approaches that protect AI models and data throughout the lifecycle. Topics include bias mitigation, interpretable learning, adversarial robustness, model poisoning defenses, privacy-preserving computation, federated learning, secure deployment practices, and governance mechanisms for safe and ethical AI use. Submissions addressing safety-critical or high-stakes domains are especially encouraged.
Keywords: Data Governance, PDPA, GDPR, Ethical Data Use, Compliance Automation, Metadata Management, Digital Policy, Public Governance, AI for Social Good, Digital Inclusion, Education, Healthcare, Sustainable Development
This track highlights efforts toward minimizing the environmental impact of computing technologies. Topics include energy-efficient AI, green data centers, carbon-aware computing, and circular IT design. The track aims to foster discussions on aligning digital transformation with sustainability goals and responsible technology practices.
Keywords: Green IT, Sustainable Computing, Carbon Footprint Reduction, Energy-efficient AI, ESG in IT, Circular Computing
This track welcomes research contributions spanning the full spectrum of data science, machine learning, and intelligent data-driven systems. Topics of interest include classical ML algorithms, modern deep learning architectures, reinforcement learning, statistical learning theory, and automated machine learning (AutoML). The track also covers data mining, predictive and prescriptive analytics, time-series forecasting, graph and network analytics, and large-scale optimization. Additional areas include scalable data processing pipelines, big data platforms, MLOps, data-centric AI methodologies, and applications in domains such as finance, healthcare, transportation, logistics, and smart cities. Submissions integrating data science with emerging fields—such as knowledge graphs, simulation-based analytics, multimodal ML, and real-time decision systems—are strongly encouraged.
Keywords: Data Science, Machine Learning, Deep Learning, AutoML, Data Mining, Predictive Analytics, Big Data Processing, MLOps, Time-series Forecasting, Graph Analytics, Data-centric AI, Intelligent Systems, Applied Analytics, Multimodal ML, Smart Cities
We encourage interdisciplinary research, industry-academia collaboration, and practical case studies.
Note: Publication process with ACM is currently in progress.
Papers must be written in English and follow the ACM Proceedings Format. Both full and short papers are welcome:
- Full papers: 6–10 pages
- Short papers: 4–5 pages
Template : https://www.acm.org/publications/proceedings-template
Submission link : (To be announced soon)
Organized by :
- IEEE Computational Intelligence Society (IEEE CIS) Thailand Chapter https://site.ieee.org/thailand-cis/
Co-organized by :
- School of Information Technology (SIT), King Mongkut’s University of Technology Thonburi (KMUTT)
– Borworn Papasratorn, King Mongkut’s University of Technology Thonburi, Thailand
– Gerald Quirchmayr, University of Vienna , Austria
– Irwin King, The Chinese University of Hong Kong, China
– Mark Chignell, University of Toronto, Canada
– Samir Chatterjee, Claremont Graduate University, United States
– Narongrit Waraporn, King Mongkut’s University of Technology Thonburi, Thailand
– Ashish Ghosh, Indian Statistical Institute, India
– Didi Rosiyadi, M.Kom, National Research and Innovation Agency (BRIN), Indonesia
– Pornchai Mongkolnam, King Mongkut’s University of Technology Thonburi, Thailand
– Simon Fong, University of Macau, Macau
– Sung-Bae Cho, Yonsei University, Korea
– Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand
Finance Chair : Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand
Organizing Committee Chair : Suree Funilkul, King Mongkut’s University of Technology Thonburi, Thailand
Publications Chair : Debajyoti Pal, King Mongkut’s University of Technology Thonburi, Thailand
Publicity and Virtual Exhibits Chair :Tuul Triyason, King Mongkut’s University of Technology Thonburi, Thailand
– Amy Yeo, Tunku Abdul Rahman University of Management and Technology, Malaysia
– Anderson Teoh, Tunku Abdul Rahman University of Management and Technology, Malaysia
– Chan Choon Kit, Tunku Abdul Rahman University of Management and Technology, Malaysia
– Claudio Angione, Teesside University, United Kingdom
– Gerald Quirchmayr, University of Vienna, Austria
– Kazushi Ikeda, Nara Institute of Science and Technology, Japan
– Kuan Yee Nee, Tunku Abdul Rahman University of Management and Technology, Malaysia
– Lai Weng Kin, Tunku Abdul Rahman University of Management and Technology, Malaysia
– Lance Chun Che Fung, Murdoch University, Australia
– Masaru Fukushi, Yamaguchi University, Japan
– Osama Halabi, Qatar University, Qatar
– Pascal Bouvry, University of Luxembourg, Luxembourg
– Pruthikrai Mahatanankoon, Illinois State University, United States
– Saifurrahman Sabuj, BRAC university, Bangladesh
– Sudip Ghosh, Indian Institute of Engineering Science and Technology, Shibpur, India
– Worrawat Engchuan, The Centre for Applied Genomics, Sickkids Hospital, Canada
– Xiangmin Zhang, Wayne State University, United States
– Boonserm Kaewkamnerdpong, King Mongkut's University of Technology Thonburi, Thailand
– Charnsak Srisawatsakul, Stamford International University, Thailand
– Kitsuchart Pasupa, King Mongkut’s Institute of Technology Ladkrabang, Thailand
– Kittichai Lavangnananda, King Mongkut’s University of Technology Thonburi, Thailand
– Mongkhon Thakong, Udon Thani Rajabhat University, Thailand
– Nantaporn Ratisoontorn, National Electronics and Computer Technology, Thailand
– Narasak Boonthep, University of Phayao, Thailand
– Orasa Patsadu, Rajamangala University of Technology Krungthep, Thailand
– Peerapon Siripongwutikorn, King Mongkut's University of Technology Thonburi, Thailand
– Peerumporn Jiranantanagorn, Rajamangala University of Technology Rattanakosin, Thailand
– Pisal Setthawong, Assumption University, Thailand
– Pizzanu Kanongchaiyos, Chulalongkorn University, Thailand
– Pornpat Sirithumgul, Rajamangala University of Phra Nakorn, Thailand
– Punnarumol Temdee, Mae Fah Luang University, Thailand
– Richard Watson Todd, King Mongkut's Institute of Technology Thonburi, Thailand
– Sansanee Auephanwiriyaku, Mahidol University, Thailand
– Suchada Sitjongsataporn, Mahanakorn University of Technology, Thailand
– Suwat Pattaramalai, King Mongkut's University of Technology Thonburi, Thailand
– Waransanang Boontarig, Ubon Ratchathani Rajabhat University, Thailand
– Werapon Chiracharit, King Mongkut's University of Technology Thonburi, Thailand
– Wichian Chutimaskul, King Mongkut's University of Technology Thonburi, Thailand
– Wilawan Rukpakavong, Thammasat University, Thailand
| Milestone | Date |
|---|---|
|
Paper Submission |
15 February 2026 |
|
Notification of Acceptance |
15 April 2026 |
|
Camera-Ready Submission |
10 May 2026 |
|
Conference Dates |
17-19 June 2026 |
📌 iait2026@sit.kmutt.ac.th
📌 Official Website : www.iait-conf.org
Be part of IAIT2026 and help shape the future of secure, responsible, and human-centered technologies. We look forward to welcoming you to Bangkok in June 2026!