The International Conference on Data, AI, and Intelligent Systems (ICDAIIS) aims to bring together researchers, practitioners, and industry experts to share cutting-edge research, innovative methodologies, and practical applications in these rapidly evolving fields. The conference serves as a platform for interdisciplinary collaboration, fostering the exchange of ideas that bridge theory and practice across engineering, computing, and management disciplines.

ICDAIIS welcomes original and unpublished contributions that address emerging trends, novel techniques, and real-world applications in data-driven and intelligent systems. Submissions from academia, industry, and government organizations are encouraged, including full research papers, work-in-progress studies, and application-oriented case studies. The conference will cover a broad range of topics, including, but not limited to, areas related to data analytics, artificial intelligence, intelligent systems, cybersecurity, and engineering management, with an emphasis on innovation, integration, and impactful solutions for modern engineering challenges. All submissions will be evaluated through a double-blind peer review process by four independent reviewers, and a decision will be announced within 15 days of submission. Accepted and registered papers will be published in Springer’s Advances in Computer Science Applications and Research series.

Following the conference, we are pleased to recognize outstanding contributions presented during the event through two distinctions: Best Paper Award and Best Presentation Award. The selection process will be based on peer review evaluations, as well as feedback from the program committee and session chairs. The Best Paper Award will be granted to the paper that demonstrates exceptional quality, originality, and impact, considering the initial submission, the camera-ready version, and the overall contribution to the field. The Best Presentation Award will be presented to the author(s) who deliver the most effective and engaging presentation during the conference. For each awarded contribution, a digital certificate will be issued in the name of the authors.

DATA SCIENCE & DATA ENGINEERING

Descriptive, predictive, and prescriptive analytics
Statistical modeling and data-driven decision-making
Analytics for strategic planning and operations
Business analytics and engineering management
Data quality assessment and improvement
Text, image, and multimedia data analytics
Big data architectures and pipelines
Data mining and knowledge discovery
Workflow automation and data pipelines
No-code/low-code data analytics platforms
Data privacy and security
Data governance frameworks
Data encryption and anonymization techniques
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APPLICATIONS OF DATA ANALYTICS

Data analytics in engineering systems
Healthcare and public health analytics
Environmental and sustainability analytics
Smart cities and urban data systems
Business, finance, and supply chain analytics
Manufacuring fault detection analytics
GIS and Spatial analytics
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AI & ML

AI for decision support system
Supervised, unsupervised, and semi-supervised learning
Deep learning and neural networks
Reinforcement learning and adaptive systems
Robust and reliable AI models
AI model evaluation and validation
Natural language processing (NLP)
Computer vision and image analysis
Human-AI interaction and collaboration
User-centric and adaptive AI systems
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INTELLIGENT SYSTEMS

Human-in-the-loop intelligent systems
Cognitive and bio-inspired systems
Human-AI collaboration in intelligent environments
Behavioral modeling and adaptive interfaces
Cognitive and affective intelligent systems
EEG, eye-tracking, and biosignal-driven systems
Cyber-physical systems (CPS)
Cyber threat intelligence and modeling
Network security protocols and architectures
Smart grid and critical infrastructure protection
Social engineering and phishing detection
Endpoint and system protection
Robotics and autonomous systems
Adaptive and learning systems
Digital twin technologies
Simulation and modeling of intelligent systems
Risk prediction and mitigation systems
Intelligent Six Sigma and process improvement
Autonomous logistics and routing systems
Demand forecasting and inventory management
AI in quality control and defect detection
Data driven supply chain optimization
AI for workforce planning and scheduling