As Artificial Intelligence matures from experimental frameworks to the primary engine driving global digital transformation, the synergy between AI architectures and big data pipelines has become paramount. AIDA 2026 provides a premier global stage for presenting core algorithmic breakthroughs, novel methodologies, and engineering innovations in AI and intelligent data analytics. Co-located with IDSTA 2026, this joint event brings together researchers, industry experts, and practitioners to address the computing, ethical, and practical challenges of building an AI-driven future.
We invite original research contributions across a broad spectrum of AI-focused tracks:
- Core Artificial Intelligence & Deep Learning: Deep neural network architectures, Reinforcement Learning, Evolutionary Computing, Neuro-symbolic AI, and Optimization techniques.
- Generative AI & Foundation Models: Large Language Models (LLMs), Generative Adversarial Networks (GANs), multimodal AI, Retrieval-Augmented Generation (RAG), and prompt engineering frameworks.
- Predictive & Intelligent Data Analytics: Cognitive business intelligence, automated feature engineering, smart predictive modeling, and real-time streaming data analytics.
- Computer Vision & Pattern Recognition: Image processing, object detection, biometric identification, facial recognition, and computer-aided medical diagnostics.
- Trustworthy, Safe, and Responsible AI: Explainable AI (XAI), algorithmic fairness, bias detection, privacy-preserving machine learning, and AI regulatory compliance.
- Edge AI & Cyber-Physical Systems: Intelligent IoT networks, TinyML, autonomous robotics, smart transportation infrastructure, and cognitive edge computing.
COMMITTEES
Organizers
- Mahmoud Al Shboul, Ajaman University, UAE
- Georgi Georgiev, University of Ruse, Bulgaria
- Ioana Grigorescu , Romanian-American University, Romania
Authors Submission Guidelines:
Submission Site:
For complete authors guidlines refer to https://idsta-conference.org/2026/authors.php
Publication:
All accepted papers in IDSTA and the workshops colocated with it will be submitted to IEEEXplore for possible publication.
Program
The program will be announced with the IDSTA2026 program at https://idsta-conference.org/2026/program.php
Venue
For venue and accommodation information, please visit https://idsta-conference.org/2026/venue.php
Registration
For registration information, please visit https://idsta-conference.org/2026/registration.php
Camera Ready
For registration information, please visit https://idsta-conference.org/2026/cameraready.php