International Conference on AI & Concurrent Engineering
About AICE 2026
The 2nd International Conference on AI & Concurrent Engineering (AICE-2026) continues its mission to serve as a leading global forum for cutting-edge innovations and practical advancements in the convergence of Artificial Intelligence and Concurrent Engineering. Building on the success of its inaugural edition, this conference brings together a diverse community of eminent researchers, academicians, industry practitioners, and technology leaders to foster meaningful knowledge exchange and collaborative exploration.
AICE-2026 aims to highlight transformative research and emerging trends in AI-driven product design, development, and lifecycle management. It encourages contributions that demonstrate novel methodologies, intelligent automation, and real-world implementations capable of addressing contemporary industrial challenges and accelerating innovation. Through insightful discussions, networking opportunities, and knowledge-rich sessions, the conference aspires to advance the state of the art and strengthen global partnerships at the intersection of AI and concurrent engineering.
Important Dates
| Last Date of Paper Submission: | 30th April, 2026 |
| Notification of Acceptance/Rejection: | 15th June, 2026 |
| Last Date of Registration: | 31st July, 2026 |
| Conference date: | 21st–22nd August, 2026 |

Call For Paper
Theme 1: Intelligent and Scalable Concurrent Engineering Frameworks
- Cross-functional and multi-domain design integration strategies
- Parallel engineering of design, validation, and manufacturing processes
- Orchestration of distributed and globally networked engineering teams
- Collaborative digital ecosystems for synchronous product development
- Scaling concurrent engineering in complex industrial systems: lessons learned
- Next-generation real-time collaboration environments for engineering design
Theme 2: AI-Augmented Design Intelligence and Optimization
- Intelligent calibration and tuning of complex design parameters
- Machine learning approaches for multi-criteria design optimization
- Generative and evolutionary design using deep learning models
- Reinforcement learning for adaptive and self-improving design cycles
- Data-centric simulation and performance prediction frameworks
- Predictive intelligence for early-stage design feasibility evaluation
- AI-assisted sustainability and eco-design optimization
Theme 3: Adaptive Monitoring, Control Intelligence, and Predictive Systems
- Streaming sensor analytics for continuous design and process feedback
- Predictive maintenance intelligence and AI-enabled quality assurance
- Self-adaptive control architectures in advanced manufacturing systems
- Closed-loop learning via intelligent digital twin feedback mechanisms
- AI-driven anomaly detection and root-cause diagnostics
- Machine learning models for real-time engineering decision support
Submission Requirements
- All submissions should be original (not submitted/published anywhere else) and written in English following the mentioned Template;
- The article must correspond to one of the topics of the conference;
- The article should contain: Materials and Methods, Results, Discussion and Conclusion(section Acknowledgment is written if necessary);
- The number of pages of the article should be 10-12 pages, no less than 3,000 words in total;
- The recommended number of authors should not exceed 5, and at least one author of the accepted paper must attend and present;
- The number of references in the list of references must be at least 10 (highly recommend almost are in recent five years); all mentioned in the Reference list are cited in the text, and vice versa;
- Self-citation should not exceed 10%;
- The originality of the article is not less than 80%;
- All authors must be familiar with the publisher's Policies and Author Ethics;
- Upload your paper to the Submission System no later than the deadline.
History
AICE 2025 Published Proceedings
All accepted and presented papers of AICE 2025 have been successfully published in Springer Book Series: Smart Innovation, Systems and Technologies (SIST, Volume 469) and indexed by Ei Compendex.Paper Publication
All papers, both invited and contributed, will be subjected to double blind review by at least 2 experts from the committees. After a careful reviewing process before the final decision and detailed presentation at the conference, all the accepted papers will be published in Springer Book Series: Smart Innovation, Systems and Technologies for indexing in EI Compendex.
Sponsors
