About SSTDV-Project

SSTDV-Project (Secure and Sustainable Technology Development Project) is a research initiative focused on developing open-source software tools for scientific computing, machine learning applications, and data analysis across various domains including medical imaging, environmental science, and computational physics.

Research Areas

Medical Imaging & Computational Anatomy

Development of tools for analyzing medical imaging data, including brain structure analysis, appearance modeling, and synthetic data generation for training robust machine learning models.

Related Projects: BrainShapeToolKit, DiffAM, DiffuAug, VCM

Environmental Science & Oceanography

Modeling and analysis of environmental data including sea surface temperature, extreme value analysis for climate research, and fluid dynamics simulation.

Related Projects: KIOST-SST-EVL, python-fluid-simulation

Generative Models & Synthetic Data

Research into generative models for creating high-quality synthetic data, with emphasis on coverage control, distribution matching, and applications in data-scarce domains.

Related Projects: HF-GAN, DiffuAug, VCM, EvalDistSim

Team

The SSTDV-Project team consists of researchers from multiple institutions:

• Principal Investigator: [Name, Institution]
• Core Developers: [Team members]
• Contributors: [External contributors and collaborators]

For inquiries, please contact us through:

• GitHub Discussions: SSTDV-Project Discussions
• Issues: Open an issue on the relevant repository

Institutions

SSTDV-Project is a collaborative effort involving:

• KIOST (Korea Institute of Ocean Science and Technology)
• Partner universities and research institutions

Publications

If you use SSTDV-Project software in your research, please cite the relevant papers:

BrainShapeToolKit

@article{brainshapetoolkit2024,
  title={BrainShapeToolKit: A Python Toolkit for Brain Shape Analysis},
  author={SSTDV-Project},
  year={2024}
}

DiffAM

@article{diffam2024,
  title={DiffAM: Differentiable Appearance Modeling for Medical Imaging},
  author={SSTDV-Project},
  year={2024}
}

KIOST-SST-EVL

@article{kiost2024sst,
  title={Sea Surface Temperature Modeling with Extreme Value Theory},
  author={SSTDV-Project},
  year={2024},
  institution={KIOST}
}

Funding

SSTDV-Project is supported by:

• [Funding agency/institution]
• [Grant number if applicable]

License

All SSTDV-Project software is released under the MIT License unless otherwise specified. See individual repository LICENSE files for details.

Acknowledgments

We thank all contributors and users who have helped improve these tools through feedback and bug reports.

Related Links

• SSTDV-Project GitHub Organization
• Individual Project Repositories
• Project Website

Contributing

We welcome contributions from the community. Please see each repository’s CONTRIBUTING.md for guidelines on how to contribute.

Contribution Areas

• Bug fixes and documentation improvements
• New feature implementations
• Tutorial and example development
• Performance optimizations
• Test coverage improvements

Code of Conduct

All contributors are expected to follow our code of conduct. Please be respectful and constructive in all interactions.

Changelog

Recent updates across all projects:

2024

• DiffAM v1.2: Added face model support, improved interpolation quality
• BrainShapeToolKit v1.1: Added GIFTI support, performance improvements
• VCM v1.0: Initial release of Variable Coverage Model
• DiffuAug v2.0: New diffusion-based augmentation framework
• KIOST-SST-EVL v1.0: Extreme value loss for sea surface temperature

Statistics

Metric	Value
Total Repositories	9
Total Stars	40+
Total Forks	30+
Contributors	15+