2026 · AI EVALUATION
Grading with LLMs: A Case Study in Chile
Proceedings of AIRC 2026, pp. 242–247.
A study of rubric-centered AI-assisted grading in an international educational setting.
SELECTED SCHOLARSHIP
Experience grounded
in published research.
Selected work by our founders illustrates the scientific foundations that inform FAIRES’ research agenda.
About this selection
These are contributions by individual founders and their co-authors, including work completed through other affiliations. They are not presented as FAIRES-funded publications or a record of FAIRES awards.
2026 · CRYPTOGRAPHIC RELIABILITY
Probabilistic Modeling of Decryption-Failure Bounds in CRYSTALS-Kyber under the Post-Quantum Threat Model
Machine Learning: Science and Technology, 7(1), 015033.
A probabilistic approach to analyzing rare decryption failures and system reliability.
Publication record2025 · CYBERSECURITY
Unlocking the Power of Machine Learning in Cybersecurity Forensics: Identifying Malicious Files
Security and Management and Wireless Networks, CCIS 2254, pp. 123–139.
Machine learning methods for digital-forensic analysis and malicious-file identification.
Publication record2016 · SOFTWARE ASSURANCE
Cyber Security Engineering: A Practical Approach for Systems and Software Assurance
Addison-Wesley Professional, SEI Series.
An engineering approach to integrating cybersecurity into software and systems development.
Author’s publication profileRESEARCH SOFTWARE & DATA
Building resources
for scientific inquiry.
Our agenda includes software, evaluation methods, and datasets that support reproducible research. Founder experience includes GradeStudents, a multi-model platform for human-supervised assessment, and modular workflows for synthetic-data generation and quality assurance.
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