Recent years have witnessed rapid advancements in data analytics, artificial intelligence (AI), and intelligent systems, which are increasingly becoming integral to modern engineering, industry, and everyday life. The growing availability of large-scale data, coupled with advances in computational methods and intelligent technologies, has enabled the development of innovative solutions for complex real-world challenges across diverse domains. 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ICDAIIS welcomes original and unpublished contributions that address emerging trends, novel techniques, and real-world applications in data-driven and intelligent systems.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
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
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
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
If you are uncertain about the suitability of your topic, we encourage you to contact us below.
