Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.
mattaq31/Hash-CAD: Release v1.1.11
September, 2026 • Software
Matthew Aquilina, Florian Katzmeier, Corey M Becker, SiyuanSWang, yzhao873et al.
What's Changed
Added new lighting system and a button to turn on bright lighting for design checks by @mattaq31 in https://github.com/mattaq31/Hash-CAD/pull/101
Full Changelog: https://github.com/ma…
What's Changed
Added new lighting system and a button to turn on bright lighting for design checks by @mattaq31 in https://github.com/mattaq31/Hash-CAD/pull/101
Full Changelog: https://github.com/mattaq31/Hash-CAD/compare/v1.1.10...v1.1.11
Pyresias is a tutorial parton shower in Python for final-state QCD radiation in electron-positron annihilation. It builds the Sudakov veto algorithm, angular ordering, momentum reconstruction and comp…
Pyresias is a tutorial parton shower in Python for final-state QCD radiation in electron-positron annihilation. It builds the Sudakov veto algorithm, angular ordering, momentum reconstruction and competition between quark and gluon branching channels in stages, from a single quark line to complete events. The repository includes a JupyterLab notebook, automated tests, the Herwig input cards used for the comparison, and the scripts and histogram data that reproduce the validation figures of the accompanying tutorial article (arXiv:2406.03528).
parton showerQCDMonte Carlo event generatorSudakov veto algorithmangular ordering
Practical tools for integrating physical AI into oncology clinical trials. Provides production-ready configurations, validated pipelines, and integration guides for deploying robotic systems, digital …
Practical tools for integrating physical AI into oncology clinical trials. Provides production-ready configurations, validated pipelines, and integration guides for deploying robotic systems, digital twins, and embodied AI agents in oncology. Covers NVIDIA Isaac Lab, MuJoCo, ORBIT-Surgical, dVRK, and agentic/generative AI frameworks.
Code and data for the conserved core gene regulatory network of three cyanobacteria (S. elongatus PCC 7942, Synechocystis sp. PCC 6803, Picosynechococcus sp. PCC 7002): networks of record, seeded GENI…
Code and data for the conserved core gene regulatory network of three cyanobacteria (S. elongatus PCC 7942, Synechocystis sp. PCC 6803, Picosynechococcus sp. PCC 7002): networks of record, seeded GENIE3 runs, curated inputs, expression compendia, analysis pipeline and Supplementary Datasets S1 to S8.
Aligning the Odes: A Character-Level Parallel Dataset for the Anhui University and Fuyang Bamboo-Slip Manuscripts
September, 2026 • Dataset
Baley, Julien, Yīng, Jīnqí
A character-level alignment of the received Maoshi with the Anhui University and Fuyang bamboo-slip witnesses, including IDS transcriptions, source and image mappings, reviewed manuscript crops, JSON …
A character-level alignment of the received Maoshi with the Anhui University and Fuyang bamboo-slip witnesses, including IDS transcriptions, source and image mappings, reviewed manuscript crops, JSON Schemas, and a static viewer. Project-authored material is CC BY 4.0; manuscript images are distributed under separate permissions documented in witness-images/RIGHTS.md.
Book of OdesShijingbamboo manuscriptsparallel corpustextual variation
Causal-Graph-Guided Reinforcement Learning for LLM Security Testing: An Empirical Study
September, 2026 • Preprint
Zeinaliashtiyani, Parisa
This preprint investigates whether structural causal information derived from adversarial interaction trajectories can improve reinforcement-learning-based black-box security testing of large language…
This preprint investigates whether structural causal information derived from adversarial interaction trajectories can improve reinforcement-learning-based black-box security testing of large language models.
The study combines PPO-based adaptive prompt search with an interpretable six-factor representation derived from red-teaming trajectories. Structural relationships among these factors are estimated using Fast Causal Inference (FCI) and represented through a Partial Ancestral Graph (PAG). A Structural Causal Model (SCM) is subsequently used to provide model-based structural guidance during reinforcement learning through intermediate feedback and causal-graph-guided action selection.
Under the reported experimental configuration, the causally guided approach achieved a mean attack success rate of 61.54%, compared with 19.33% for the archived RL-based baseline, while reducing API and token usage. Because the primary evaluations were not fully prompt-aligned, this headline comparison is treated as descriptive rather than as a paired statistical comparison.
The work contributes an empirical investigation of how causal structure can be incorporated into adaptive LLM security testing while maintaining an interpretable representation of adversarial prompt characteristics.
Large Language ModelsLLM SecurityTrustworthy AIAI SafetyReinforcement Learning
PERSONALITY AND EMOTIONAL CHARACTERISTICS AMONG UNEMPLOYED WOMEN: A CORRELATIONAL STUDY OF SELF-ATTITUDE AND EMOTIONAL STATE
September, 2026 • Dataset
Shaxnoza S. Jurayeva, Worldly Knowledge Publishing Centre
This study examines the correlational relationships between personality characteristics, self-attitude, and emotional state among unemployed women. A sample of 203 unemployed women from the Fergana, S…
This study examines the correlational relationships between personality characteristics, self-attitude, and emotional state among unemployed women. A sample of 203 unemployed women from the Fergana, Samarkand, and Tashkent regions of Uzbekistan was assessed using a self-state assessment test, S.Pantileev's Self-Attitude methodology, and B.I.Dodonov's General Emotional Orientation methodology. Spearman's rank correlation analysis revealed that emotional state indicators - calmness, emotional uplift, and self-confidence - were significantly associated with self-attitude components including sincerity, self-guidance, self-worth, and self-acceptance, while internal conflict and self-blame were negatively associated with these same constructive resources. The findings demonstrate that self-attitude and emotional state form an interdependent psychological system that jointly determines the psychological adaptation of unemployed women.
NovaFabric: portable, verifiable execution evidence for AI and HPC runs
September, 2026 • Software
Seyedkazemi Ardebili, Mohsen
NovaFabric is a self-hosted, open-source toolkit that captures, replays, diffs, and audits AI-agent and model runs as portable, secret-redacted, signed evidence capsules. It runs entirely in the user'…
NovaFabric is a self-hosted, open-source toolkit that captures, replays, diffs, and audits AI-agent and model runs as portable, secret-redacted, signed evidence capsules. It runs entirely in the user's own infrastructure, from a laptop to a cluster, with no accounts and no telemetry.It is built around five primitives — Asset Registry, Run Capsule, Replay, Lineage, and Evidence Bundle — and four honest replay modes (forensic, mocked, semantic, exact). Evidence bundles verify offline using only sha256sum and an ed25519 verifier, with no NovaFabric installation required.Interoperates with established specifications rather than inventing formats: OpenTelemetry GenAI semantic conventions, in-toto/DSSE, RFC 3161 timestamping, W3C PROV, OpenLineage, and CycloneDX.
reproducibilityprovenanceAI agentslarge language modelsevidence
Gunnerus Open Data Set: drawings, 3D model and metadata of the research vessel R/V Gunnerus
September, 2026 • Dataset
Norwegian University of Science and Technology (NTNU), polarkonsult AS, C-JOB Naval Architects
Production drawings (DWG, DXF and A0 PDF), a 3D CAD model, engineering documents and structured metadata for the NTNU research vessel R/V Gunnerus, published openly as a reference ship case for resear…
Production drawings (DWG, DXF and A0 PDF), a 3D CAD model, engineering documents and structured metadata for the NTNU research vessel R/V Gunnerus, published openly as a reference ship case for research, teaching, benchmarking and the development of digital shipbuilding tools.Drawings and design data courtesy of polarkonsult. Derivative drawings, 3D model and engineering documents by C-JOB and NTNU. Published by NTNU.Licence: CC BY-NC 4.0. The C-JOB engineering documents in extended/CJOB/docs/ are CC BY-SA 4.0. Commercial use requires approval from polarkonsult.Attribution: Gunnerus open data, courtesy of polarkonsult, published by NTNU. Licensed under CC BY-NC 4.0.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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