Important Dates

Paper Submission January 31, 2026

Notification to authors March 12, 2026

Paper Registration April 10, 2026

Camera-Ready papers April 10, 2026

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Special Sessions

All Special Sessions Follow the Same Dates as the Main Track

Intelligent Systems and e-Applications (iSeA)

Advanced Applied Intelligence Methodologies and Applications (AAIMA)

Autonomous Machine Intelligence - Theory and Applications (AMITA)

Foundation, Unified, Safe, and Efficient Artificial Intelligence (FUSE-AI)

The 39th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA/AIE 2026 continues the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation & robotics, business & finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine.

The conference will publish a Special issue in Applied Intelligence, after the conference selecting the best papers in terms of quality, reviews, and presentation. The selection will be done after the conference through emails sent to the corresponding authors with detailed instructions.  Therefore we advise all authors to do their best in good presentation. 

The sequences would be:
– submission to the conference;
– acceptance at the conference and inclusion in the proceedings;
– and only then possible invitation (with further instructions) to the journal special issue by its guest editors later.

IEA/AIE 2026 IS ORGANIZED IN COOPERATION WITH

ACM Special Interest Group on Artificial Intelligence (ACM SIGAI) / Catalan Association for Artificial Intelligence (ACIA) / China Computer Federation (CCF) / International Society of Applied Intelligence (ISAI) / Italian Association for Artificial Intelligence (AIxIA) / Iwate Prefectural University, Japan / Japanese Society for Artificial Intelligence (JSAI) / Society for the Study of Artificial Intelligence and the Simulation of Behavior (AISB) / Spanish Society for Artificial Intelligence (AEPIA)/ Taiwanese Association for Consumer Electronics (TACE) / Texas State University, USA / University of Hradec Kralove (UHK) / Universiti Tekonologi Malaysia (UTM) / Taiwanese Association for Artificial Intelligence (TAAI)

Topics of interest include, but are not limited to:

Adaptive Control Ambient Intelligence Argumentation Systems Artificial Immune Systems Automated Reasoning Autonomous Agents Bayesian Networks Bio-informatics Case-based Reasoning Computer Animation Computer Vision Cognitive Models Constraint Programming Data Mining Decision Support Systems Description Logics Evolutionary Computation Expert Systems Fuzzy Logic Games Information Retrieval Heuristic Search Human Robot Interaction Intelligent Systems Knowledge Representation

Machine Learning Meta-heuristics Model-based Reasoning Multi-Agent Systems Multi-Media Processing Natural Language Processing Neural Networks Non-Monotonic Logics Optimization Planning and Scheduling Preference Reasoning Privacy Preserving Data Mining Robotics Semantic Web Smart Graphics Social Networks Soft Computing Speech Recognition Swarm Intelligence Temporal and Spatial Reasoning Uncertainty User Modeling Ontologies

iSeA

Intelligent Systems and e-Applications (iSeA)

Submissions must be made through the system available at the following link:

IEA/AIE 2026 Special Session iSeA Submission Link

In the industry revolution 4.0, many Intelligent Systems and e-applications have been created to better serve the increasing needs of the people. They bring much benefits for working in industrial and social development. E-applications are electronically/network based applications for the social development of communities, such as e-learning, e-commerce, e-governance, e-health, and so forth. Those applications use electronic media, and information and communication technologies to do their works. They are effective and feasible methods of systems to manage and process via the Internet. They also work on information and data of social networks. E-applications are one of the information technology solutions and become popular method worldwide. They provide highly effective management, reduces the time, effort and money of individuals and organizations. Besides, the intelligent systems based on intelligent computing technology are the useful methods to solve problems for e-applications. They include a range of techniques, such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Neuroscience & Bioscience, Soft Computing, IoT, Big Data. This special session at IEA/AIE aims to bring together professionals, engineers, academics and industrial people worldwide to discuss and exchange new ideas and the latest achievements in developing Intelligent Systems and e-applications Scope Relevant topics include, but are not limited to, the following:

Intelligent tutoring system Intelligent Problem Solver Intelligent Agent for management systems Intelligent Information Systems Tools and Technology for Knowledge Management Expert systems Ontological Engineering Document Retrieval Systems Methods for automated evaluation in e-learning Business Intelligence Social network and information diffusion E-Marketing and Consumer Behaviour Intelligent Applications for e-Management E-health applications and software Innovative Models in e-Management Multimedia Processing in applications Computational Modeling, Mobility and Big Data Other future trends and issues in intelligent e-applications

Chairs of Session:

Nhon V. Do, Hong Bang International University, Vietnam

José Machado, University of Minho, Portugal

Hien D. Nguyen, University of Information Technology, VNU-HCM, Vietnam

                         

 

AAIMA

Advanced Applied Intelligence Methodologies and Applications (AAIMA)

Submissions must be made through the system available at the following link:

IEA/AIE 2026 Special Session AAIMA Submission Link

In order to get high quality papers, we invite you to submit paper to Special Session on Advanced Applied Intelligence Methodologies and Applications (AAIMA) of the 38th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2026). The goal of this Special Session is to bring together researchers interesting in intelligent systems. Researchers from these areas are encouraged to submit proposals to present their work related to intelligent systems. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. Scope Relevant topics include, but are not limited to, the following:

Neural nets and support vector machines Intelligent and knowledge based systems Intelligent agent - Inductive learning Intelligent control Fuzzy systems Sample and feature selection Evolutionary computation Data mining - Automated reasoning Knowledge-based systems Information retrieval and integration Machine learning Pattern recognition Robotics Speech recognition and synthesis Mobile intelligence Web intelligence AI applications Computer vision Image processing Intelligent e-learning/tutoring Semantic web Other related topics

Chairs of Session:

Shyi-Ming Chen, Department of Computer Science and Information Engineering, Asia University, Taiwan

       

 

AMITA

Autonomous Machine Intelligence - Theory and Applications (AMITA)

Submissions must be made through the system available at the following link:

IEA/AIE 2026 Special Session AMITA Submission Link

Autonomous Machine Intelligence represents a fundamental shift in artificial intelligence, moving beyond narrow task-specific systems toward machines capable of understanding, learning, and acting in complex real-world environments with minimal human supervision. This special session focuses on the theoretical foundations and practical applications of autonomous intelligent systems, including world models, self-supervised learning, energy-based models, and joint embedding predictive architectures. Recent advances in autonomous AI architecture, particularly in perception-planning-action cycles, multimodal learning, and hierarchical predictive models, have opened new possibilities for building systems that can truly understand and interact with the physical world. This special session aims to provide a forum for researchers and practitioners to present and discuss the latest advances in autonomous machine intelligence, covering theoretical foundations, novel architecture, learning paradigms, and real-world applications across various domains including robotics, autonomous vehicles, healthcare, and industrial systems. Relevant topics include, but are not limited to, the following:

Self-supervised learning for autonomous systems Energy-based models and latent variable models Joint Embedding Predictive Architectures (JEPA) World models and predictive learning Perception-planning-action architectures Hierarchical and multi-scale representations Multimodal learning and fusion Intrinsic motivation and cost functions Model-predictive control for autonomous systems Video understanding and prediction Autonomous robotics and embodied AI Autonomous vehicles and intelligent transportation Industrial automation and smart manufacturing Healthcare applications of autonomous AI Benchmarks and evaluation metrics for autonomous systems

Chairs of Session:

Hiep Xuan Huynh, Ph.D., Can Tho University, Vietnam

Fabrice Guillet, Ph.D.,Nantes University, France

Anh Hoang Pham, Ph.D., VNU-HCM University of Technology (HCMUT), Vietnam

Ngan Thi Tran, International School (VNUIS), Hanoi, Vietnam

       

 

FUSE-AI

Foundation, Unified, Safe, and Efficient Artificial Intelligence (FUSE-AI)

Submissions must be made through the system available at the following link:

IEA/AIE 2026 Special Session FUSE-AI Submission Link

The rapid evolution of artificial intelligence is increasingly driven by advances in foundation models, multimodal learning frameworks, and the need for safe, trustworthy, and resource-efficient deployment. As AI systems become more integrated into critical real-world environments—healthcare, education, industry, transportation, and public services—there is a growing demand for research that unifies large-scale model capabilities with principles of safety, interpretability, robustness, and energy efficiency. This special session, FUSE-AI, brings together researchers and practitioners working at the intersection of foundation models, unified multimodal architectures, AI safety and alignment, explainable and transparent AI, adversarial robustness, and efficient on-device/edge intelligence. The session welcomes contributions addressing scalable learning mechanisms, cross-modal fusion, responsible AI frameworks, green and sustainable AI, verification and validation of model behavior, and innovative deployment strategies across constrained or high-stakes domains. FUSE-AI aims to provide a focused platform for discussing forward-looking AI methodologies that fuse capability, reliability, and sustainability. Through this session, we seek to highlight emerging trends, inspire collaborative innovation, and support the development of next-generation AI systems that are powerful, accountable, and efficient enough for widespread, trustworthy adoption. Relevant topics include, but are not limited to, the following:

Foundation Models & Large-Scale Pre-trained Architectures: Advances in LLMs, multimodal foundation models, efficient fine-tuning, adaptation strategies, and scalable training techniques. Unified & Multimodal AI Systems: Cross-modal learning, joint embeddings, fusion of text–image–audio–video data, and integrated reasoning across heterogeneous inputs. Safe, Trustworthy & Aligned AI: AI safety, alignment, ethical AI frameworks, trustworthy decision-making, fairness, bias mitigation, and responsible use of intelligent systems. Explainable, Interpretable & Transparent AI:Techniques for model explainability, transparent reasoning, human-understandable outputs, and reliability in high-stakes applications. Robustness, Verification & Validation of AI Systems:Testing AI under uncertainty, adversarial resilience, robustness to distribution shift, and formal or empirical verification and validation methods. Efficient, Green & Edge AI:Resource-efficient models, TinyML, on-device inference, low-power deployment, model compression/quantization, and sustainability-focused AI. Applications of FUSE-AI in Real-World Domains:Innovative use cases in healthcare, environment, education, engineering, smart cities, robotics, industry, or other high-impact domains.

Chairs of Session:

Masurah Mohamad, MARA University of Technology, Malaysia

Nurulhuda Zainuddin,MARA University of Technology, Malaysia

       

 

Author Instructions

Submissions must be made through the system available at the following link:

IEA/AIE 2026 Submission Link

*Announcement: For those who cannot obtain a visa in time or are unable to attend for any reason, virtual video presentations will be considered and allowed for presenters.

Authors are invited to submit their papers in English of up to 12 single spaced pages including references, and presenting the results of original research or innovative practical applications relevant to the conference. Practical experiences with state-of-the-art AI methodologies are also acceptable when they reflect lessons of unique value to the conference attendees. Shorter works, up to 6 pages may be submitted as short papers representing work in progress or suggesting possible research directions.

Submitted papers must be formatted using the Springer LNCS/LNAI style and will be done electronically using the submission button above. The use of the LaTeX2e style file available from Springer is required. Papers submitted to IEA/AIE 2026 must not have already been published, or accepted for publication, or be under review for a journal or another conference. Submissions will go through a double blind review process by Program Committee members for originality, significance, technical merit, and clarity of presentation. In this regard, authors should not include any information that would identify them or their affiliations. Such information can however be added to the camera-ready version, if the paper is accepted.

The "best student paper award will be given to the best student submissions based on quality and novelty. Free registration fee and possible travel (if traveling is allowed) to the awarded winner will be offered by ACM SIGAI. Besides, there is other category for "best Technical paper" award and "best theory paper award; offered by Springer. The conference proceedings will be published by Springer in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series. A paper will be accepted either as a long or as a short paper. Long papers will be allocated 12 pages while short papers will be allocated 6 pages in the proceedings.

The conference will publish a Special issue in Applied Intelligence , after the conference selecting the best papers in terms of quality, reviews, and presentation. The selection will be done after the conference through emails sent to the corresponding authors with detailed instructions.  Therefore we advise all authors to do their best in good presentation. More details will be explained in the conference sessions.

Authors of accepted papers will be allocated time for an oral presentation at the conference and will have the opportunity to present their work in a poster session. At least one author of each accepted paper is required to attend the conference to present the work. Authors must agree to this requirement prior to submitting their paper for review.

The conference proceedings will be published by Springer in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series. A paper will be accepted either as a long or as a short paper. Long papers will be allocated 12 pages while short papers will be allocated 6 pages in the proceedings.