# ICCMS' — International Conference on Computer Modeling and Simulation

- **Submission deadline**: 2026-12-10
- **Notification date**: 2027-01-10
- **Conference date**: 2027-05-14
- **Location**: Beijing, China
- **Conference Partner Index**: 56.8/100 (ranked #745, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 2
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/3481

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2026 | 2026-04-15 | 2026-05-15 | Hangzhou, China |
| 2025 |  | 2025-06-13 | Zhuhai, China |
| 2024 |  | 2024-06-21 | Online |
| 2023 |  | 2023-06-16 | Dalian, China |
| 2022 |  | 2022-06-24 | Online |
| 2021 |  | 2021-06-25 | Online |
| 2020 |  | 2020-06-22 | Online |
| 2019 |  | 2019-01-16 | Melbourne, Australia |
| 2018 |  | 2018-01-08 | Sydney, Australia |
| 2017 |  | 2017-01-20 | Canberra, Canberra |

## Call for papers

2027 19th International Conference on Computer Modeling and Simulation (ICCMS) is the premier forum for the presentation of technological advances and research results in the fields of Computer Modeling and Simulation. ICCMS 2027 will bring together leading engineers and scientists in the field of Computer Modeling and Simulation from around the world. Topics of interest for submission include, but are not limited to: Track 1: Fundamental Theories and Methodologies - Mathematical modeling and simulation techniques - Computational algorithms for simulation - Discrete-event simulation - Continuous and hybrid simulation models - Uncertainty quantification in simulations Track 2: Artificial Intelligence and Machine Learning in Simulation Track Chairs: Prof. Fei Guo, Chongqing University of Posts and Telecommunications, China Assoc. Prof. Zhongyong Zhao, Southwest University, China - AI-driven modeling and simulation - Deep learning for predictive simulations - Reinforcement learning in dynamic systems - Neural networks for simulation optimization - Explainable AI in computational models Track 3: High-Performance and Large-Scale Simulations - Parallel and distributed simulation - Cloud/edge computing for scalable simulations - GPU-accelerated modeling techniques - Big data analytics in simulation - Cyberinfrastructure for large-scale simulations Track 4: Applications in Engineering and Science - Computational fluid dynamics (CFD) - Structural and mechanical simulations - Climate and environmental modeling - Biomedical and healthcare simulations - Energy systems and smart grid simulations Track 5: Social, Economic, and Urban Systems Simulation - Agent-based modeling for social systems - Economic forecasting and policy simulations - Urban planning and smart city simulations - Traffic and transportation modeling - Disaster response and crisis management simulations Track 6: Emerging Technologies and Industry 4.0 - Digital twins and virtual prototyping - IoT-enabled simulation systems - Robotics and autonomous systems simulation - Blockchain in simulation security

## Related conferences

- ICCMS — International Conference on Communication and Media Studies — https://www.myhuiban.com/conference/2791
- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141
- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421

## Related journals

- Advanced Modeling and Simulation in Engineering Sciences — https://www.myhuiban.com/journal/880
- SIMULATION — https://www.myhuiban.com/journal/917
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Software & Systems Modeling — https://www.myhuiban.com/journal/99

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Source: Conference Partner — https://www.myhuiban.com/conference/3481 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)
