AAIML 2026 | Tokyo, Japan

2026 International Conference on Advances in Artificial Intelligence and Machine Learning (AAIML 2026) was successfully held at Korakuen Campus, Chuo University from March 20–22, 2026. The conference was sponsored by IEEE SMCS, and attracted over 250 participants from 34 countries, attending both online and in person. The conference featured three keynote speeches, one invited talk, one workshop, 16 onsite oral presentation sessions, two poster sessions, and seven virtual oral sessions.

Conference Proceedings

   

The proceedings of AAIML 2026 was published by IEEE and included in IEEE Xplore.

Conference Moments

Host: Prof. Naoyuki Ishimura, Chuo University

Host: Prof. Naohiro Yoshida, Keiai University

Opening Remarks: Prof. Takahiko Fujita, Chuo University

Keynote Speaker:
Prof. Richi Nayak, Queensland University of Technology

Keynote Speaker:
Prof. Robert Kozma, University of Memphis

Invited Speaker:
Dr. Minh-Son Dao, NICT

Keynote Speaker:
Prof. Tadahiko Murata, University of Osaka






AAIML 2026 Awards

  • Best Paper
    • CAR-Net: A Cascade Refinement Network for Rotational Motion Deblurring under Angle Information Uncertainty
    Author(s): Ka Chung Lai, Ahmet Cetinkaya

  • Outstanding Papers
    • Longitudinal Graph Neural Networks for Prognostic Modeling of Alzheimer’s Disease Progression
    Author(s): Medet Ashimgaliyev, Ainur Zhumadillayeva, Miras Mussabek, Peiwu Qin

    AI-driven Stock Price Forecasting in Technology Stocks with Model-Based Feature Selection for a Quantum-Inspired GAN
    Author(s): Suwatchai Piewfad, Phet Aimtongkham, Pakarat Musikawan

  • Best Student Paper
    • Adaptive Hierarchical Evaluation of LLMs and SAST tools for CWE Prediction in Python
    Author(s): Muntasir Adnan, Carlos Claiton Noschang Kuhn

  • Best Oral Presentations
    • Autonomous Knowledge Pipeline for AI Research: LLM Agents for Automatic Paper Curation, Multimodal Media Generation, and Online Publishing
    Presenter: Takafumi Nakanishi

    Adaptive Hierarchical Evaluation of LLMs and SAST tools for CWE Prediction in Python
    Presenter: Muntasir Adnan

    A Novel, Multistep Neural Network Approach to Improve Anomaly Detection in Online
    Presenter: Aditya Singla

    Playing Telephone with AI: How Uninformed Use of AI Tools May Distort Educational Outcomes
    Presenter: Markos Konstantakis

    Sociodemographic Biases and Employment Discrimination in Large Language Models: Experimental Evidence from ChatGPT Simulations
    Presenter: Xavier Javines Bilon

    Uncertainty-Aware Visual Sequence Models for Depression Severity Assessment
    Presenter: Fabian Schmidt

    Predicting Wildfire Burn Severity from Pre-Fire SAR Signatures: A Deep Learning Approach
    Presenter: Debzani Deb

    DRL-Based Microgrid Energy Management under Uncertain Supply and Demand
    Presenter: Christopher G. Harris

    Scalable Machine Learning Model for Diffusion Prediction in Social Graph
    Presenter: Ivan Belik

    Correlation-Aware Feature Attribution Based Explainable AI
    Presenter: Poushali Sengupta

    Exploring Gemini AI’s Text-to-Image Capabilities for Adaptive Learning in Education
    Presenter: Ronel Ramos

    Hybrid Data Preprocessing of Office Actions in Patent Prosecution History
    Presenter: Jieh-Sheng Lee

    Trust-aware Explainable Federated Learning (TEFL) for Privacy-Preserving Medical Diagnosis
    Presenter: Janice A. Abellana

    Bayesian Emotion Recognition with Gaussian Mixture-Based Distributional Consistency
    Presenter: Qiyuan Xiao

  • Best Poster Presentations
    • Multi-Task CAD Generation Using Compact Decoder-Only Models
    Presenter: Elias Berger

    Predicting Urban Farming Participation Intention in the National Capital Region, Philippines using Machine Learning Approaches
    Presenter: Roman De Angel

  • Outstanding Oral Presentations
    • Beyond Shared Embedding Spaces: Towards LLM Architectures with Explicit Authority Control for Prompt Security
    Presenter: Jonas Kemnitzer

    Evasion of Malware Classifiers by Injecting Category-Specific Benign Features
    Presenter: Juozas Dautartas

    ParaPo!: Jeep Route & Path Finder
    Presenter: Greigh Kyle Navarro

    Scaffl.ed: A Multimodal, LLM-Driven Intelligent Tutoring System for Java Debugging Using Gaze and Mouse Interactions
    Presenter: John Mark M. Gatche

    An LLM-Based Framework for Generating Synthetic Legal Contract Benchmark Datasets: A Low-Resource Language Case Study
    Presenter: Zofran Aqsha

    Neuro-Symbolic Agentic Framework for Decoupled Perception and Clinical Reasoning in Medical AI
    Presenter: Morris Jhennong Chen

    RPGD: RANSAC-P3P Gradient Descent for Extrinsic Calibration in 3D Human Pose Estimation
    Presenter: Zhanyu Tuo

    Physics-Informed Neural Networks for Multi-Horizon Volatility Modeling with Uncertainty Quantification
    Presenter: TzeHoung Lee

    Independent Coordinate Kolmogorov-Arnold Networks: Exploiting Structural Constraints for Dimensionality Reduction
    Presenter: Patrick Ghali

    Soft Metrics for Ordinal Label Uncertainty with Variable Sample Sizes
    Presenter: Alessandro Magnani

    LEAP: A Deep Learning Pipeline for Early Prediction of Student Learning Outcomes from LMS Logs
    Presenter: Athanasios Angeioplastis

    AI-driven Stock Price Forecasting in Technology Stocks with Model-Based Feature Selection for a Quantum-Inspired GAN
    Presenter: Suwatchai Piewfad

    A Blockchain Aided Resource/Role Hierarchy Based Access Control Framework for Federated Learning
    Presenter: I-Ling Yen