DS2-MH at SDM24: International Workshop on Data Science for Smart Manufacturing and Healthcare (DS2-MH) at SIAM SDM24 Westin Houston, Memorial City Houston, TX, United States, April 18-20, 2024 |
Conference website | https://dssmh.github.io/ |
Submission link | https://easychair.org/conferences/?conf=ds2mhatsdm24 |
Abstract registration deadline | February 25, 2024 |
Submission deadline | February 26, 2024 |
Workshop Description
In the era of the Internet of Things (IoT), with the rapid development of advanced sensing, data storage, data analytics, and high-performance computing technologies, both manufacturing industries and healthcare systems are experiencing a data‑driven revolution. However, the unique characteristics of manufacturing and healthcare systems prevent the direct application of existing data-driven methods. Their characteristics include (1) systematic physical principles, (2) high demand for interpretability, robustness, and trustworthiness, and (3) limited computation resources and the need for instant decision-making. These characteristics raised pressing needs to develop domain-aware data-driven approaches for critical tasks in manufacturing and healthcare systems, such as smart diagnosis, automatic control, design optimization, customized analytics, etc.
The SDM24 Workshop on Data Science for Smart Manufacturing and Healthcare (DS2-MH) aims to demonstrate the recent research progress of data science, which focuses on addressing the unique challenges in manufacturing and healthcare systems, such as the gaps in data quality assurance, domain-aware data analytics, improvement of trustworthiness, etc. It also provides a venue to gather the researchers and practitioners to share their cutting-edge thoughts and opinions.
Topics of Interest
We cordially invite submissions that focus on recent advances in research/development of data science, which are motivated by real-world problems in manufacturing and healthcare. Papers focus on both theoretical foundations and applications are welcomed from the areas including but not limited to:
Methodology
- Active learning
- Bayesian optimization
- Contrastive learning
- Data-driven inverse modeling
- Deep reinforcement learning
- Domain-aware machine learning
- Generative model
- Graph machine learning
- Image/video processing
- Incremental learning
- Surrogate modeling
- Trustworthy machine learning
- Uncertainty quantification
Application
- Additive manufacturing
- Anomaly detection
- Biomanufacturing
- Cyber-physical systems
- Dataset design
- Data quality and security
- Design optimization
- Disease screening and prediction
- Material/process degradation
- Healthcare and biomedical data analytics
- Imaging and sensing
- Process monitoring and control
- Quality control
- Root cause diagnosis
- Sustainable manufacturing
Submission Guidelines
All paper submissions should be 3 to 8 pages (excluding the references and appendix), following the SDM 24 conference format - please refer to the SDM 24 website (https://www.siam.org/conferences/cm/submissions-and-deadlines/sdm24-submissions-deadlines) for further details.
The submission should be in PDF format. According to the conference policy, at least one author of each accepted paper should register to the SDM24 conference.
All submissions will be reviewed double-blind. Thus, the submissions must be blinded, and no author information should appear anywhere in the manuscript. Please note that the workshop will NOT take the ownership of paper copyrights.
Important Dates (Pacific Time)
- Paper Submission: March 3, 2024, 11:59 PM
- Acceptance Notification: March 17, 2024, 11:59 PM
- Final Paper Submission: April 1, 2024, 11:59 PM
Organizing Committee
- Chenang Liu, Assistant Professor, Oklahoma State University, chenang.liu@okstate.edu
- Yao Ma, Assistant Professor, Rensselaer Polytechnic Institute, may13@rpi.edu
- Diane Oyen, Scientist, Los Alamos National Laboratory, doyen@lanl.gov
- Yinan Wang, Assistant Professor, Rensselaer Polytechnic Institute, wangy88@rpi.edu
Venue
This workshop will be held in conjunction with SIAM International Conference on Data Mining (SDM24) on April 18 - 20, 2024, Houston, TX, USA. The detailed schedule of this workshop will be released soon in the workshop website (https://dssmh.github.io/).
Contact
For questions about submission and this workshop, please feel free to contact the workshop organizers.