IEEE International Conference on
Evolving and Adaptive Intelligent
Systems 2026 (IEEE EAIS 2026)
From 21/09/2026 To 23/09/2026
University of Pisa, Pisa, Italy
Preliminary Technical Program
Evolving Spatio-Temporal Associative Memories: From Predictive Brains to Predictive AI
Nikola Kasabov - Auckland University of Technology, New Zealand
SS2: AI-based Evolving Software Systems - Part I
BagDINO: Multi-View Baggage Re-Identification with DINOv3
Cyber R.Ai.D: An AI-Enabled Cybersecurity Serious Game Integrating CTF Learning and Attack-Defense Simulation
DetectiveAttacks: An LLM-Driven Framework for CVE-to-TTP Correlation, Threat Actor Attribution, and Context-Aware Vulnerability Management across ATT&CK and ATLAS Matrices
DataAegis: An HTAP Data Connector for Stream Processing and Semantic Context Management in Secure Environments
SS2: AI-based Evolving Software Systems - Part II
Continuous Multi-Level Features Aggregation for Microservices Intrusion Detection
Deadline-aware Task Offloading for IoV Services in a Vehicular Network Environment
Assessing Performance Variability and Efficiency of Zero-Shot LLMs for Bug-Fixing Time Classification in Real-World Settings
Fault Detection in Photovoltaic Systems Using an Evolving Granular Fuzzy Algorithm
Explainable and Human-Centered Artificial Intelligence
Explainability as a Selection Criterion: An Evolutionary Framework for Medical Image Classification
A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots
Explainable Machine Learning for Modeling Tourism Service Accessibility: A Space Syntax Approach in Pisa
Evaluation of Different Region-aware Sampling Strategies on Counterfactual Rule Extraction
Random Search of Counterfactual Features Set for Fast and High-Fidelity Feature Importance
SS7: Evolving Edge Intelligence for Adaptive and Autonomous Smart Agriculture
AL-MLOps: An Active Learning-Driven Framework for Smart Agriculture
An Adaptive Dual-Stage Learning System to Predict the Water Needs of Tomato Plants Exploiting Bioristor Data
Towards Drift-Resilient Agricultural Localization via LiDAR-Inertial and Raw GNSS Factor-Graph Fusion
Dynamic Drift Compensation for Visual-Inertial Odometry in Unstructured Orchards
Online Changepoint Detection for Real-Time Plant Stress Monitoring in Precision Agriculture using in-vivo Biosensors
Adaptive and Continual Learning in Evolving Environments
CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift
Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models
Learning from Nonstationary Data Streams via Incremental Level-Set Modeling (e-LSM)
ASSFCM: Adaptive Semi-Supervised Fuzzy C-Means
Evolving Beyond Gaussian Prototypes with Multi-Scale Graph Consensus on Microclusters
Rethinking Adaptivity of Deep Learning
Plamen Angelov - Lancaster University, UK
Reinforcement Learning, Optimization and Evolutionary Computation
Scalable Multi-Agent Reinforcement Learning for Wind Farm Layout Optimization
Comparing Policy-Gradient and Value-Based Reinforcement Learning for Epidemic Control under Health-Economic Trade-Offs
On Near-Optimality of Double Deep Q-Learning for Sequential Decision-Making on Graphs: a Case-Study
Adaptable Charging Station Placement: Investigating Mechanisms of Evolvability
Hybrid Genetic Algorithm with Neural Local Search for Large-Scale Traveling Salesman Problems
Response Surface Methodology-Driven Adaptive Parameter Tuning in Differential Search for Mean-Variance Portfolio Optimization
SS10: Human-centric Adaptive Computational Intelligence for Business Applications
A Novel Hybrid Approach for Intelligent Decision Support System Using Hesitant Fuzzy MAIRCA-CRITIC Algorithm
Linguistic Summaries in Power BI for Smart Cities: The Case Study of Dublin Cycling Data
Developing Initial Assessment Criteria for a Big Data Analytics Maturity Model
Fuzzy Linguistic Summaries for Electrical Load Forecasting Error Diagnostics
Context-Adaptive Concept Networks: Dynamic Feature Routing for Tabular Data
From Fuzzy to IBA-based Interpretable Client Selection in Federated Learning
Secure, Trustworthy and Information-Aware Intelligent Systems
FedFuzzyIDS: Federated Learning of Interpretable Fuzzy Classifiers for Intrusion Detection in Heterogeneous IoT Networks
Learning Multivariate Operational Dynamics for Anomaly Detection in Marine Battery Management Systems
Adaptive-CLAID: Local Threshold Calibration for AI-Generated Text Detection
Dynamic Knowledge Graph with Annotated Triples for Incremental Claim Verification
Monitoring Structural Balance in Collaborative Systems using Interval DEA
Adaptive AI Methods for Industrial Analytics and Manufacturing
Multi-Relational GCN Imputation for Missing Rare Earth Elements (REE) Production Time Series
Empirical Evaluation of Multi-Fidelity Hyperparameter Optimization for LSTM-Based Continuum Arm Modeling: A Comparative Analysis
Data-Driven Modeling of Operator Knowledge for Decision Support in Abrasive Product Manufacturing
Material Recognition from Industrial Time-Series with Heteroscedastic Noise Using Evolving Gaussian Clustering with Overlap and Merging
Autonomous, Multimodal and Data-driven Intelligent Systems
Adaptive Multimodal Agents-Based Framework for Automatic Workflow Execution
Edge-based Incremental Clustering with Continual Learning for Real-Time Driver Behavior Analysis
An Evolving Multimodal Driver Monitoring System Based on ROS 2
Online Hyperparameter Optimization of Regularized Finite Impulse Response Models
Fast Dimensionality Reduction for Visualization Applied to Earth Observation
Going with the Flow: Designing Graph Neural Networks as Dynamical Systems
Davide Bacciu - University of Pisa
SS12: Recent Advances on Text and Document Streams Mining
From Textual Records to Co-Participation Networks: Measuring Academic Relational Intensity
From Metadata to Semantics: Documentation Levels and Their Effect on Text-to-SQL LLM Performance
From Crowdsourcing to AI-Sourcing: A Multi-Model Evaluation of Generative AI for Fuzzy Semantic Similarity
Modeling Consensus and Conflict in Role Based Agentic Systems: An Architecture for Claim Verification
Adaptive Interpretable Multilingual Threat Analysis via Structured LLM-Based Representations of Texts
Preliminary program - subject to change. Session chairs to be announced.
© 2026 Università di Pisa