MIWAI 2025

MIWAI 2025

The 18th Multi-Disciplinary International Conference on Artificial Intelligence

December 3–5, 2025
Ho Chi Minh City, Vietnam

About MIWAI

Keynote Speakers

Prof. Mark Roantree

Dublin City University
Ireland

Title:
Evaluating the Performance of Shallow, Ensemble and Deep Machine Learning Models to Determine the Planet’s Boundary Layer Height.

Abstract:
The planet's boundary layer height is important for understanding weather, cloud formation and the movement of pollutants and energy near the Earth's surface. This multi-disciplinary study explores how AI improves our ability to correctly model the planet's boundary layer height. A holistic approach requires the comparison of different machine learning models in predicting the boundary layer height with feature sets including temperature, energy, and meteorological measurements captured at the surface level. AI model performance is compared with radiosonde measurements and existing weather prediction data from the ERA‐5 dataset at two locations in Central Amazon. Experiments demonstrate the ability to accurately predict using between 5 and 7 ground‐based measurements. This is significant as it suggests we could monitor boundary layer height over wider areas using simple, low‐cost sensors combined with short‐term measurement campaigns to obtain measurements of the PBL height for model training. This is further evidence of the successful application of AI to other forms of scientific research.

Biography:
Prof. Roantree is an Investigator at the Insight Centre for Data Analytics at Dublin City University (DCU) where he leads the Research Challenge on Data Engineering & Governance. He has published over 150 papers, mainly in high impact journals and conferences, graduating 26 research students. Mark's research has a strong multidisciplinary focus applying AI in the areas of health, climate and sports science research.

Prof. Nguyen Son Hung

University of Warsaw
Poland

Title:
Probabilistic Methods in Reinforcement Learning: From Theory to Real-World Impact.

Abstract:
Reinforcement learning (RL) empowers agents to optimize decisions in dynamic environments, but noise, partial observability, and shifting dynamics require robust uncertainty handling. Probabilistic methods offer a powerful framework to address these issues, including Bayesian inference, Partially Observable Markov Decision Processes, and uncertainty-aware exploration. This talk explores how probabilistic RL enables safe, efficient, and trustworthy AI systems. We highlight the cutting-edge trends, such as scalable uncertainty quantification via conformal prediction, probabilistic dynamics models using normalizing flows, and multimodal RL for robotics, healthcare, and autonomous systems. We illustrate enhanced exploration, safety, and decision-making under uncertainty through real-world case studies. We address challenges, including computational scalability and fairness in decision-making, and outline future directions for integrating probabilistic RL into next-generation AI. Discover how embracing uncertainty drives smarter, more robust RL systems for a complex world.

Biography:
Hung Son Nguyen received the Ph. D. in 1997, D. Sci. (habilitation) in 2008 and he is working as a professor in the University of Warsaw. His main research interests are fundamentals and applications of Rough set theory, data mining, text mining, bioinformatics, intelligent multiagent systems, soft computing, and pattern recognition. He has published more than 140 research papers in edited books, international journals and conferences on these topics.
Prof. Hung Son Nguyen is a fellow of the International Rough Set Society, and a member of the Editorial Board of international journals, i.e., “Transaction on Rough Sets”, “Data mining and Knowledge Discovery” (from 2005-2008) and “ERCIM News”, Computational Intelligence and the Manager Editor of “Fundamenta Informaticea”. He has also served as a program co-chair of RSCTC’06 and ’RSKT2012, IJCRS2018, as a PC member of various other conferences including PKDD, PAKDD, AAMAS, RSCTC, RSFDGrC, RSKT, etc., and as a reviewer of many other journals.
He was involved in numerous research and commercial projects including dialog-based search engine (Nutech), fraud detection for Bank of America (Nutech), logistic project for General Motors (Nutech), Semantic Search Engine, Intelligent Decision Support System for Firefighting in Poland, RID – Development of Innovative Transport System and Recommendation system for fashion and cosmetic branches.

Prof. Michael Thielscher

University of New South Wales
Australia

About MIWAI



Artificial Intelligence (AI) research has broad applications in real-world problems. Examples include control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others. The ever-evolving needs in society and business both on a local and on a global scale demand better technologies for solving more and more complex problems. Such needs can be found in all industrial sectors and in any part of the world.

The Multi-disciplinary International Conference on Artificial Intelligence (MIWAI), formerly called The Multi-disciplinary International Workshop on Artificial Intelligence, is a well-established scientific venue in the field of artificial Intelligence. MIWAI was established more than 17 years ago. This conference aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine-tune their activities in order to help each other better. The main purposes of the MIWAI series of conferences are:

  • To provide a meeting place for AI researchers and practitioners.
  • To inform research students about cutting-edge AI research via the presence of outstanding international invited speakers.
  • To raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee.

As in the previous years, MIWAI 2025 proceedings will be published in Springer’s Lecture Notes in Artificial Intelligence (LNAI) series.

The accepted papers of MIWAI 2025 will be indexed by major databases, such as the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc.

Call for Papers

Click Here To Download CFP Flyer

Artificial intelligence is a broad area of research. We encourage researchers to submit papers in the following areas but not limited to:

Scope and Topics

  • Machine Learning & Deep Learning
    • Neural networks and representation learning
    • Reinforcement learning and decision-making
    • Explainable AI and trustworthy ML
  • Natural Language Processing & Speech Recognition
    • Large language models and generative AI
    • Multimodal AI and human-AI interaction
    • Sentiment analysis and discourse modeling
  • Computer Vision & Image Processing
    • Object detection and scene understanding
    • Medical imaging and biometrics
    • AI-driven creative applications (e.g., art, design, and multimedia)
  • Robotics & Autonomous Systems
    • AI for robotics and intelligent automation
    • Multi-agent systems and swarm intelligence
    • Human-robot interaction

 

  • AI for Society, Ethics & Applications
    • AI for healthcare, finance, and smart cities
    • Ethical AI, bias mitigation, and fairness
    • AI-driven education and learning analytics
  • AI Theory & Algorithms
    • Computational intelligence and optimization
    • Knowledge representation and reasoning
    • Probabilistic modeling and uncertainty in AI
  • Agentic AI
    • Defining agency in AI
    • Reinforcement learning in agentic AI systems
    • Multi-agent coordination and negotiation strategies
    • Handling uncertainty and risk in agentic AI decision-making
  • Large Language Model
    • Interpretability and Explainability
    • Alignment and Safety
    • Multilingual & Cross-Lingual Learning
    • Agentic AI with LLM

Call for Special Sessions

Special Session 1

The Secure Edge-AI (SEAI) special session aims to explore the intersection of artificial intelligence (AI) and edge computing with a focus on security, privacy, and resilience. As AI-powered edge devices proliferate across industries such as healthcare, autonomous systems, IoT, and smart cities, ensuring their security and robustness is crucial.

We welcome submissions on topics including, but not limited to:

  • Secure AI models and architectures for edge computing
  • Privacy-preserving AI techniques
  • Adversarial attacks and defenses in Edge-AI
  • Lightweight cryptographic techniques for AI at the edge
  • Trust and authentication mechanisms in Edge-AI deployments
  • Secure data transmission and storage for edge intelligence
  • AI-driven intrusion detection for edge networks
  • Blockchain and decentralized security for Edge-AI
  • Hardware security for AI-enabled edge devices
Special Session 2

The AI in Industry (AIIN) special session aims to explore the use of AI and digital transformation (DX) in industry. Applications such as AI-powered systems for quality control, safety and security monitoring systems in manufacturing, smart manufacturing, fintech and economics applications are essential.

We welcome submissions on topics including, but not limited to:

  • Machine vision
  • Optics Technologies for Vision System
  • Defect Inspection System
  • Visual Inspection
  • Document Analysis and Understanding
  • Human Action Recognition and Understanding
  • Voice Processing
  • Vision Language Models
  • Evolution of cognition
  • Evolutionary game theory
  • Behavioural economics and psychology

Tutorials

Tutorial 1 • Demonstration of Generative AI for Medical Information Management
Nikita Neveditsin, Salil Patil, Pawan Lingras, Vijay Mago

This tutorial introduces the audience to the application of Generative AI (GenAI) for processing multimedia documents in small and medium-sized healthcare facilities. The presenters, including healthcare providers and GenAI researchers, will demonstrate how GenAI can manage information efficiently.

In developing countries like India, many clinics face challenges due to limited IT infrastructure, relying on handwritten or printed prescriptions and discharge sheets. The absence of structured databases complicates healthcare management. Additionally, radiologists and diagnostic professionals often dictate their findings, which are transcribed by secretaries. Training and maintaining qualified staff is another challenge for these clinics.

Generative AI offers a promising solution by digitizing handwritten, printed, and voice data from physicians, which can then be stored in a structured data warehouse. Our initiative involves collecting over a hundred voice and paper documents to build a comprehensive database that can be queried using natural language. This approach aims to streamline data management in clinics, enhancing the overall efficiency and accuracy of healthcare delivery.

The tutorial will depict various scenarios in SME healthcare facilities and present corresponding multimedia documents. We will demonstrate how different GenAI technologies can effectively process these documents. While the solutions described will increase the efficiency of information processing in healthcare facilities, there are challenges that make full automation difficult. We will identify these challenges in the multimedia documents, opening up new directions for further research.

Tutorial 2 • Text Analytics in Python: Foundations and Methods in Sentiment Analysis
Sharin Hazlin Huspi, Noor Hidayah Zakaria

This tutorial offers an in-depth exploration of modern text analytics methodologies using Python, designed specifically for researchers, postgraduate students, and beginners engaged in Natural Language Processing (NLP) and text mining research. Participants will develop a solid conceptual and practical foundation in extracting, processing, and analyzing unstructured textual data.

For more details, please click here to download.


Submission guidelines

Submission link: https://www.easychair.org/conferences/?conf=miwai2025

Both research and application papers are solicited. All submitted papers will be carefully peer-reviewed on the basis of technical quality, relevance, significance, and clarity.

Each paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. The authors' names and institutions should not appear in the paper. Unpublished work of the authors should not be cited. Springer-Verlag author instructions are available at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Registration


All payment deadlines are in the UTC-12 timezone.

Attendee Category Registration Type Early-bird Fee (USD)
Presenter Online/Virtual 250
International On-site 500
Vietnamese On-site 400
Student On-site 350*
Participant On-site 200

*Gala Dinner not included.

MIWAI Committee


Steering Committee

  • Arun Agarwal, Zen Technologies Ltd, India
  • Richard Booth, Cardiff University, UK
  • Patrick Doherty, Linköping University, Sweden
  • Rina Dechter, University of California, Irvine, USA
  • Leon Van Der Torre, University of Luxembourg, Luxembourg
  • Peter Haddawy, Mahidol University, Thailand
  • Jérôme Lang, Université Paris-Dauphine, France
  • Atul Negi, University of Hyderabad, India
  • Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei
  • Paul Weng, Duke Kunshan University, China
  • Quan Thanh Tho, Ho Chi Minh City University of Technology (HCMUT), Vietnam

Conveners

  • Chattrakul Sombattheera, Mahasarakham University, Thailand
  • Raghava Morusupalli, CVR College of Engineering, India

General Co-chairs

  • Chattrakul Sombattheera, Mahasarakham University, Thailand
  • Jean-Daniel Zucker, Institute for Sustainable Development (IRD) and Sorbonne University (SU), France
  • Quan Thanh Tho, Ho Chi Minh City University of Technology (HCMUT), Vietnam

Program Co-Chairs

  • Henry Nguyen, Griffith University, Australia
  • Pham Hoang Anh, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Ruibin Bai, University of Nottingham Ningbo China, China
  • Dayang Norhayati Abang Jawawi, Universiti Teknologi Malaysia, Malaysia

Program Committee

  • A Vani Vathsala, CVR College of Engineering, India
  • Abdelrahman Elfaki, University of Tabuk, Saudi Arabia
  • Ahmad Anwar Zainuddin, International Islamic University Malaysia, Malaysia
  • Ahmad Sahban Rafsanjani, Sunway University, Malaysia
  • Akhter M. Rather, Great Lakes Institute of Management, Gurgaon, India
  • Alok Singh, University of Hyderabad, India
  • Amit Agarwal, Oracle, Washington, USA
  • Aneesh Krishna, Curtin University, Australia
  • Antonis Bikakis, University College London, UK
  • Athirah Mohd Ramly, University of East London, India
  • Azizi Ab Aziz, Universiti Utara Malaysia, Malaysia
  • Boon Giin Lee, University of Nottingham Ningbo, China
  • Boon-Yaik Ooi, Universiti Tunku Abdul Rahman, Malaysia
  • Broderick Crawford, Pontificia Universidad Catolica de Valparaiso, Chile
  • Chalee Vorakulpipat, NECTEC, Thailand
  • Chau Vo, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University, Viet Nam
  • Chidchanok Lursinsap, Chulalongkorn University, Thailand.
  • Chun Che Fung, Murdoch University, Australia
  • Chunlai Zhou, Renmin University of China, China
  • Costin Badica, University of Craiova, Romania
  • Cyrille Berger, Linköpings University, Sweden
  • D.Teja Santosh, CVR College of Engineering, Hyderabad, India
  • Dharamsotu Bheekya, Geethanjali College of Engineering and Technology, India
  • Doan Dang, Eastern International University, Viet Nam
  • Duc-Dung Nguyen, Institute of Information Technology, Vietnam Academy of Science and Technology, Viet Nam
  • Duc-Thinh Pham, ATMRI - NTU, Singapore
  • Farrukh Hassan, Sunway University, Malaysia
  • Frieder Stolzenburg, Harz University of Applied Sciences, Germany
  • Ganesh Kumar, Sunway University, Malaysia
  • George Obaido, University of California Berkeley, USA
  • Gerand Boy Elinzano, De La Salle University, Philippines
  • Guido Governatori, Central Queensland University, Australia
  • Han Fang, Shanghai Jiao Tong University, China
  • Hock Guan Goh, Universiti Tunku Abdul Rahman (UTAR), Malaysia
  • Hrushikesha Mohanty, University of Hyderabad, India
  • Hui-Ngo Goh, Multimedia University, Malaysia
  • Hürevren Kılıç, Atilim University, Turkey
  • Husin Nor Azura, UPM, Malaysia
  • Iman Dehzangi, Rutgers University, USA
  • Isara Anantavrasilp, KMILT, Thailand
  • Jaree Thongkam, Mahasarakham University, Thailand
  • Jérôme Lang, CNRS, LAMSADE, Université Paris-Dauphine, France
  • Jérôme Mengin, IRIT - Université de Toulouse, France
  • Jia Jan Ong, Tunku Abdul Rahman University of Management and Technology, Malaysia
  • Jianshu Hu, Shanghai Jiao Tong University, India
  • Jingtao Yao, University of Regina, Canada
  • Jinguang Gu, Wuhan University of Science and Technology, China
  • John Blake, University of Aizu, Japan
  • Joi San Tan, Universiti Tunku Abdul Rahman, Malaysia
  • Jose H. Saito, Universidade Federal de São Carlos, Brazil
  • Jun Shen, University of Wollongong, Australia
  • Jysoo Lee, King Abdullah University of Science and Technology, Saudi Arabia
  • Kauthar Mohd Daud, Universiti Kebangsaan Malaysia, Malaysia
  • Kejun Dong, China Internet Network Information Center (CNNIC), China
  • Kevin Kam Fung Yuen, Hong Kong Polytechnic University, Hong Kong
  • Khanista Namee, King Mongkut's University of Technology North Bangkok
  • Kian Ming Lim, University of Nottingham Ningbo, China
  • Kittichai Lavangnananda, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand
  • Kok Lim Yau, Universiti Tunku Abdul Rahman, Canada
  • Krishna Reddy Polepalli, IIIT-Hyderabad, India
  • Laszlo T. Koczy, Budapest University of Technology and Economics, Hungary
  • Le Hong Trang, Ho Chi Minh City University of Technology (HCMUT), Viet Nam
  • Lk Foo, Multimedia University Malaysia, Malaysia
  • Luigi O. Freire, UTC, Ecuador
  • M Phani Krishna Kishore, Gayatri Vidya Parishad College of Engineering(A), India
  • Manasawee Kaenampornpan, Khon Kaen University, Thailand
  • Manegaouindé Roland Tougma, Université Joseph KI ZERBO, Burkina Faso
  • Mariusz Wzorek, Linkoping University, Sweden
  • Matthew Y. W. Teow, PSB Academy, Singapore
  • Md.Nazmus Sakib, World University of Bangladesh, Bangladesh
  • Monchai Kooakachai, Chulalongkorn University, Thailand
  • Natthapong Jungteerapanich, KMITL, Thailand
  • Nenavath Srinivas Naik, IIITDM Kurnool, India
  • Nhat-Quang Doan, University of Science and Technology of Hanoi & Academy of Science and Technology, Viet Nam
  • Nicolas Schwind, National Institute of Advanced Industrial Science and Technology (AIST), Japan
  • Olarik Surinta, Mahasarakham University, Thailand
  • Oliver Obst, Western Sydney University, Australia
  • Pang Zhen Tong, Multimedia University, Malaysia
  • Paul Weng, Duke Kunshan University, China
  • Peter Scully, Mahidol University, Thailand
  • Phuong Le-Hong, Vietnam National University, Hanoi, Viet Nam
  • Piotr Rudol, Linkoping University, Sweden
  • Prakash Hiremath, KLE Technological University, India
  • Prapaporn Rattanatamrong, Thammasat University, Thailand
  • Priyaranjan Pattnayak, Oracle Cloud, USA
  • Raj Bhatnagar, University of Cincinnati, USA
  • Raja Kumar, Taylor's University, Malaysia
  • Rajeev Wankar, University of Hyderabad, Thailand
  • Rapeeporn Chamchong, Mahasarakham University, Thailand
  • Ryan Ebardo, De La Salle University, Philippines
  • Sakorn Mekruksavanich, University of Phayao, Thailand
  • Sandhya Banda, Maturi Venkata Subba Rao (MVSR) Engineering College, India
  • Sheila Miller Edwards, Arizona State University, USA
  • Shing Chiang Tan, Multimedia University, Malaysia
  • Sj Tan, Universiti Teknologi Brunei, Brunei
  • Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei
  • Sook Ling Chua, Multimedia University, Malaysia
  • Srinivasa Raju Rudraraju, Vishnu Institute of Technology, India
  • Suguru Ueda, Saga University, Japan
  • Susmita Ghosh, Jadavpur University, India
  • Suvil Chomchaiya, KMUTT, Thailand
  • Swee Peng Ang, Universiti Teknologi Brunei, Brunei
  • Taneeya Satyapanich, Kasetsart University, Thailand
  • Thai Le, Department of Computer Science, Ho Chi Minh City University of Science, Viet Nam
  • Thanh Van Le, Ho Chi Minh City University of Technology (HCMUT), Viet Nam
  • Theerananda Thanaawathphuvaphan, Chiang Mai University, Thailand
  • Thibaut Lust, Sorbonne Université, France
  • Thi-Oanh Nguyen, Hanoi University of Science and Technology, Viet Nam
  • Tilottama Goswami, Vasavi College of Engineering, India
  • Tiong Hoo Lim, Universiti Teknologi Brunei, Brunei
  • Ukrit Watchareeruetai, Sertis Co., Ltd., Thailand
  • Veera Boonjing, KMILT, Thailand
  • Ven Jyn Kok, Universiti Kebangsaan Malaysia, Malaysia
  • Viet Hung Nguyen, LIMOS CNRS, Clermont Auvergne University, France
  • Vikram Neerugatti, Jain (Deemed - to - be) University, Bangalore, Karnataka, India
  • Vinh Nguyen Dinh, FPT University, Can Tho, Vietnam
  • Virach Sornlertlamvanich, Musashino University, Japan
  • Wei Chuen Yau, Xiamen University Malaysia, Malaysia
  • Weicheng Huang, National Center for High-performance Computing, China
  • Weng Kin Lai, Tunku Abdul Rahman University of Management & Technology (TAR UMT), Malaysia
  • Xuening Feng, UM-SJTU Joint Institute, China
  • Yann Dujardin, Orange, USA
  • Yoke Leng Yong, Help University, Malaysia
  • Yu Li, University of Tsukuba, Japan
  • Yu-N Cheah, Universiti Sains Malaysia, Malaysia
  • Yunli Lee, Sunway University, Malaysia
  • Yunpeng Jiang, Shanghai Jiao Tong University, China
  • Zhaohui Jiang, Shanghai Jiao Tong University, China
  • Zhihao Song, Shanghai Jiao Tong University, China
  • Yung-Cheol Byun, Jeju National University, Korea
  • Nick Pham, Cardiff University, UK
  • Hoa Khanh Dam, Wollongong University, Australia
  • Kashif Naseer Qureshi, Limerick University, Ireland
  • Truc Nguyen, National Renewable Energy Laboratory, US
  • Thanh Thi Nguyen, Monash University, Australia
  • Stuart William Perry, University of Technology Sydney, Australia
  • Massimo Piccardi, University of Technology Sydney, Australia
  • Duc Minh Ngo, Qualcomm Ireland, Ireland
  • Ho Van Lam, Quy Nhon University, Vietnam
  • Le Xuan Vinh, Quy Nhon University, Vietnam
  • Truong Hoang Vinh, Ho Chi Minh City Open University, Vietnam
  • Phan Tran Minh Khue, Ho Chi Minh City Open University, Vietnam
  • Thi-Thu-Hong Phan, FPT University, Vietnam
  • Thuc Trong Hoang, The University of Electro-Communications, Japan
  • Long Tan Le, The University of Sydney, Australia
  • Dayang Norhayati Abang Jawawi, Faculty of Computing, Universiti Teknologi Malaysia, Malaysia
  • Fabien Baldacci, Université de Bordeaux, France
  • Johanna Ahmad, Faculty of Computing, Universiti Teknologi Malaysia, Malaysia
  • Yong Suk Chung, Department of Plant Resource and Environment, Jeju National University, Jeju 63243, Republic of Korea, South Korea
  • Thanh Tuan Thai, Department of Plant Resource and Environment, Jeju National University, Jeju 63243, Republic of Korea, South Korea
  • Le Duc Anh, Senior research scientist, goodnotes
  • Hung Son Nguyen, University of Warsaw, Poland, Poland
  • Diep Nguyen, University of Technology Sydney (UTS), Australia
  • Van-Giang Trinh, Inria Saclay, EP Lifeware, Palaiseau, France
  • Huu Hoang Nguyen, University of Tennessee at Chattanooga, TN, USA
  • Mark Roantree, Dublin City University, Ireland
  • Le-Minh Nguyen, Japan Advanced Institute of Science and Technology (JAIST), Japan
  • Ervin Yohannes, Department of Informatics Engineering, Universitas Negeri Surabaya (Unesa), Indonesia
  • Masayuki Ida, Aoyama Gakuin University, Tokyo, Japan
  • Ha Xuan Son, RMIT University, Vietnam
  • Ninh Pham, University of Auckland, New Zealand
  • Vuong M. Ngo, Dublin City University, Ireland
  • Tai Tan Mai, School of Computing, Dublin City University, Ireland
  • Luu Anh Tuan, Nanyang Technological University, Singapore
  • Tan Minh Nguyen, Department of Mathematics, National University of Singapore, Singapore
  • Dinh Viet Sang, Hanoi University of Science and Technology, Vietnam
  • Vo Dinh Bay, HUTECH University, Vietnam
  • Nguyen Thi Thuy Loan, International University, VNU-HCM, Vietnam
  • Tran Thanh Tung, International University, VNU-HCM, Vietnam
  • Nguyen Thi Thanh Sang, International University, VNU-HCM, Vietnam
  • Le Thanh Sach, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Vietnam
  • Le Thanh Van, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Vietnam
  • Le Trong Nhan, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Vietnam
  • Chau Thanh Duc, University of Science, VNU-HCM, Vietnam
  • Vinh-Tiep Nguyen, University of Information Technology, VNU-HCM, Vietnam
  • Tien-Dung Cao, Tan Tao University, Vietnam
  • Nguyen Thanh Binh, University of Science, VNU-HCM, Vietnam
  • Hien D. Nguyen, University of Information Technology, VNU-HCM, Vietnam
  • Thuy-Trang Vu, Department of Data Science and AI, Faculty of IT, Monash University, Australia
  • Mahesh Babu M, Data Analytics Division, CSL, USA
  • Pascal Desbarats, Université de Bordeaux, France
  • Akka Zemmari, Université de Bordeaux, France
  • Nor Azliana Akmal Jamaludin, Universiti Pertahanan Nasional Malaysia, Malaysia
  • Noor Hidayah Zakaria, Universiti Teknologi Malaysia, Malaysia
  • Sharin Hazlin Huspi, Universiti Teknologi Malaysia, Malaysia
  • Rohayanti Hassan, Universiti Teknologi Malaysia, Malaysia
  • Mudita, Chitkara University, India
  • Milankumar Rana, FedEx Corporation, USA
  • Vijayalaxmi Methuku, University of Texas at Austin, USA
  • Srikanth Kamatala, Independent Researcher, USA

Special Session Committee

  • Cuong Pham-Quoc, Ho Chi Minh City University of Technology (HCMUT), Vietnam (chair)
  • Hoang Trong Thuc, University of Electro-Communications (UEC), Japan (co-chair)
  • Pham Cong Kha, University of Electro-Communications (UEC), Japan
  • Emanuel Popovici, University College Cork (UCC), Ireland
  • Ngo Duc Minh, Qualcomm Ireland, Cork, Ireland
  • JaeYoung Hur, Jeju National University (JejuNU), Korea
  • Pham Hoang Anh, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Le Trong Nhan, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Le Hong Trang, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Nguyen Hai Trieu Anh, NamiTech, Vietnam
  • Tran Tuan Anh, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Li BingBing, California State University – Northridge, USA
  • Dau Sy Hieu, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • The-Anh Han, Teesside University, UK
  • Nguyen Quoc Minh, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Nguyen Thi Hong Van, AI Center (AIC) – FPT Software, Vietnam

Publicity Co-chairs

  • Daphne Teck Ching Lai, Universiti Brunei Darussalam, Brunei
  • Panich Sudkhot, Zyntelligent Co., Ltd., Thailand

Local Organizing Co-chairs

  • Benjawan Intara, Mahasarakham University, Thailand
  • Tran Ngoc Thinh, Ho Chi Minh City University of Technology (HCMUT), Vietnam

Tutorials

  • Pawan Lingras, St Mary University, Halifax, NS, Canada
  • Nikita Neveditsin, St Mary University, Halifax, NS, Canada
  • Vijay Mago, York University, North York, Canada
  • Salil Patil, Dhanwantari’s Chrysalis Clinic, India
  • Sharin Hazlin Huspi, Universiti Teknologi Malaysia, Malaysia
  • Noor Hidayah Zakaria, Universiti Teknologi Malaysia, Malaysia

Industry Panels

  • Phani Anand Gollapudi, Intel Corporation, USA

Web Administration

  • Panich Sudkhot, Zyntelligent Co., Ltd., Thailand
  • Nguyen Song Thien Long, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Nguyen Quang Duc, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Bui Tran Quyen, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Le Ngoc Hung Dung, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Vo Quang Vinh, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Tran Phu Cuong, Ho Chi Minh City University of Technology (HCMUT), Vietnam
  • Pham Le Ngoc Ngan, Ho Chi Minh City University of Technology (HCMUT), Vietnam

Important dates


Event Date
Submission Deadline July 15, 2025
Notification Deadline August 1, 2025
Camera Ready Deadline August 15, 2025
Registration Deadline August 22, 2025
Conference Dates December 3-5, 2025

Host




Quan Thanh Tho


Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam
|> Email: qttho@hcmut.edu.vn

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