Welcome to AIDSIE 2025
We are pleased to announce the 2025 International Conference on Artificial Intelligence, Data Science and Intelligent Engineering (AIDSIE 2025), which will be held in Philadelphia, USA, from December 25 to 27, 2025.
AIDSIE 2025 aims to bring together leading researchers, industry practitioners, and academic scholars to discuss the latest developments and breakthroughs in artificial intelligence, data-driven technologies, and intelligent engineering systems. The conference seeks to promote interdisciplinary collaboration, encourage innovative research ideas, and explore the transformative power of AI and data science in engineering applications.
Topics of interest include, but are not limited to, machine learning, deep learning, data mining, intelligent automation, big data analytics, computer vision, smart manufacturing, intelligent control systems, and engineering optimization. The conference also welcomes contributions on AI-driven decision-making, digital twins, and sustainable intelligent infrastructures.
All submissions will undergo a rapid peer review process (2–3 working days). Accepted papers will be indexed by Google Scholar, CrossRef, and Scilit.
We warmly invite researchers and professionals from around the world to present their work and join this inspiring academic event in the vibrant city of Philadelphia.
TIME FOR SUBMISSION
CALL FOR PAPER
Topics of interest include but are not limited to
1. Artificial Intelligence Foundations and Intelligent Systems
- Deep learning architectures and transformer-based models
- Explainable, trustworthy, and human-aligned AI
- Multimodal and cognitive computing frameworks
- Generative AI and large language models (LLMs)
- Adaptive and self-evolving neural networks
- Knowledge representation, reasoning, and hybrid intelligence
- AI ethics, governance, and responsible innovation
- Cognitive robotics and autonomous decision-making
2. Data Science, Analytics, and Computational Intelligence
- Data mining, knowledge discovery, and pattern recognition
- Big data processing, visualization, and decision support
- Statistical learning and high-dimensional data analysis
- Time-series modeling and predictive analytics
- Federated learning and distributed AI systems
- Optimization algorithms and metaheuristic computation
- Evolutionary computation, swarm intelligence, and reinforcement learning
- Uncertainty quantification and stochastic modeling
3. Intelligent Engineering and Automation Technologies
- Smart manufacturing and industrial AI applications
- Intelligent control systems and adaptive automation
- Digital twin modeling and simulation-based engineering
- Cyber-physical systems and intelligent robotics
- Sustainable and energy-efficient engineering design
- Human–machine collaboration and augmented intelligence
- Fault diagnosis, predictive maintenance, and reliability engineering
- Intelligent optimization in civil, mechanical, and electrical engineering
4. Emerging Technologies and Cross-disciplinary Applications
- AI in healthcare, biomedical data analysis, and precision medicine
- Intelligent transportation systems and autonomous vehicles
- AI-enhanced education, e-learning, and virtual classrooms
- Financial technology, risk modeling, and algorithmic trading
- Cloud computing, edge intelligence, and Internet of Things (IoT)
- Secure and privacy-preserving data processing
- AI for climate modeling, environmental monitoring, and sustainability
- Quantum computing, neuromorphic hardware, and future AI paradigms
PUBLICATION & INDEXING
Pinnacle Academic Proceedings Series
eISSN: 3079-8760
pISSN: 3079-8752
Indexing: Google Scholar, Dimensions, Crossref, Scilit, Semantic Scholar, Yubetsu Shibata, ResearchGate
Note: Selected titles will be submitted for evaluation in CPCI (part of Clarivate’s Web of Science), and where applicable, they are also submitted to Ei Compendex and Scopus(Subject to acceptance).
