Publications

Peer-reviewed journal and conference papers in explainable AI, applied LLM systems, and trustworthy autonomous systems.

ORCID: 0009-0003-3359-6939 · Google Scholar. Publisher versions are linked through IEEE Xplore and DOI; no author-hosted copies are posted here, in keeping with IEEE and Elsevier policy. All entries in one file: BibTeX (.bib).

Journal Articles

2026
Domain-Specific vs. General-Purpose Large Language Models in Orthodontics: A Blinded Comparison of AlimGPT, GPT-4o, Gemini, and Llama

S. Aksakallı, B. Giray, C. Temel · Dentistry Journal, vol. 14, no. 4, art. 219, Apr. 2026 · Q1 · Impact Factor 3.1 · PubMed and Scopus indexed · open access

A blinded comparative study evaluating a domain-specific retrieval-grounded model (AlimGPT, which I built) against general-purpose LLMs (GPT-4o, Gemini, and Llama) on orthodontic question answering, scored by independent clinicians. The system is now in production as OrthoAtlas (orthoatlas.ai).

Publisher (open access)DOI: 10.3390/dj14040219
BibTeX
```
@article{Aksakalli2026AlimGPT,
  title   = {Domain-Specific vs. General-Purpose Large Language Models in
             Orthodontics: A Blinded Comparison of AlimGPT, GPT-4o, Gemini,
             and Llama},
  author  = {Aksakall{\i}, Serta{\c c} and Giray, Bilgin and Temel, {\c C}a{\u g}r{\i}},
  journal = {Dentistry Journal},
  volume  = {14},
  number  = {4},
  pages   = {219},
  year    = {2026},
  doi     = {10.3390/dj14040219}
}
```
Status: published
2023
The Mechanical Testing and Performance Analysis of Three-Dimensionally Produced Lingual Retainers

S. Aksakallı, U. Ok, C. Temel, D. Sezgin Mansuroğlu, Y. M. Şahin · Journal of the World Federation of Orthodontists, vol. 12, no. 2, pp. 64–71, Apr. 2023 · Elsevier · Scopus indexed

An experimental study of additively manufactured lingual retainers, comparing production methods and materials under standardized mechanical load testing. My contribution covered the engineering design, fabrication, and mechanical test methodology.

Publisher DOI: 10.1016/j.ejwf.2022.12.003
BibTeX
```
@article{Aksakalli2023Retainers,
  title   = {The mechanical testing and performance analysis of
             three-dimensionally produced lingual retainers},
  author  = {Aksakalli, Sertac and Ok, Ufuk and Temel, Cagri and
             Mansuroglu, Demet Sezgin and Sahin, Yesim Muge},
  journal = {Journal of the World Federation of Orthodontists},
  volume  = {12},
  number  = {2},
  pages   = {64--71},
  year    = {2023},
  doi     = {10.1016/j.ejwf.2022.12.003}
}
```
Status: published
2023
Non-Contact Fabrication of a Lingual Retainer During the COVID-19 Pandemic: Case-Control Study

U. Ok, S. Aksakallı, C. Temel, E. Büyükbaşaran · Turkiye Klinikleri Journal of Dental Sciences, vol. 29, no. 3, pp. 476–480, 2023

A case-control study of a non-contact workflow for producing lingual retainers, developed to reduce clinician-patient contact during the COVID-19 pandemic, compared against the conventional chairside procedure.

Publisher DOI: 10.5336/dentalsci.2022-94879
BibTeX
```
@article{Ok2023NonContact,
  title   = {Non-Contact Fabrication of a Lingual Retainer During the
             COVID-19 Pandemic: Case-Control Study},
  author  = {Ok, Ufuk and Aksakall{\i}, Serta{\c c} and Temel, {\c C}a{\u g}r{\i}
             and B{\u u}y{\u u}kba{\c s}aran, Ece},
  journal = {Turkiye Klinikleri Journal of Dental Sciences},
  volume  = {29},
  number  = {3},
  pages   = {476--480},
  year    = {2023},
  doi     = {10.5336/dentalsci.2022-94879}
}
```
Status: published

Conference Papers

2026
CT-SAFR: Safe and Interpretable Chain-of-Thought Reasoning for Autonomous Robots: A Multi-Layered Verification Framework for Trustworthy AI-Driven Robotic Decision Making

C. Temel · 2026 IEEE Conference on Artificial Intelligence (CAI), pp. 598–603, May 2026 · sole author

A defense-in-depth verification framework spanning structural, physical, semantic, and interpretability layers that addresses the faithfulness problem in Chain-of-Thought-enabled robots. It reports 94.2% hallucination detection (95% CI 91.8–95.9%) and 96.4% combined detection across the four layers at sub-500 ms latency, with an 87% reduction in unsafe reasoning outputs in a warehouse-robot case study.

IEEE Xplore DOI: 10.1109/CAI68641.2026.11536646 Program Summary & results
BibTeX
```
@inproceedings{Temel2026CTSAFR,
  title     = {CT-SAFR: Safe and Interpretable Chain-of-Thought Reasoning for
               Autonomous Robots: A Multi-Layered Verification Framework for
               Trustworthy AI-Driven Robotic Decision Making},
  author    = {Temel, Cagri},
  booktitle = {2026 IEEE Conference on Artificial Intelligence (CAI)},
  pages     = {598--603},
  year      = {2026},
  publisher = {IEEE},
  doi       = {10.1109/CAI68641.2026.11536646}
}
```
Status: published and presented
2026
Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework

C. Temel · SoutheastCon 2026 (IEEE), pp. 1–6, Feb. 2026 · sole author

Introduces TRACE (Transparent Reasoning Architecture for Credible Execution), a model-agnostic four-layer framework that traces every autonomous action back to sensor evidence. It reports high evidence-traceability, temporal continuity, and decision-reconstructability across simulated decision cycles, motivated by EU AI Act and ISO 13482 auditability requirements.

IEEE Xplore DOI: 10.1109/SoutheastCon63549.2026.11476455 Summary & results
BibTeX
```
@inproceedings{Temel2026TRACE,
  title     = {Towards Trustworthy Autonomous Robots: An Explainable AI-Based
               Decision Framework},
  author    = {Temel, Cagri},
  booktitle = {SoutheastCon 2026},
  pages     = {1--6},
  year      = {2026},
  publisher = {IEEE},
  doi       = {10.1109/SoutheastCon63549.2026.11476455}
}
```
Status: published
2026

Robust and Uncertainty-Aware Remaining Useful Life Prediction with Temporal Neural Trees

C. Temel · IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026) · sole author

A Temporal Neural Tree that couples a GRU sequence encoder with an ensemble of soft decision trees trained under channel-level sensor dropout, giving calibrated uncertainty and robustness to sensor loss on the NASA C-MAPSS benchmark. With 30% of sensors missing, RMSE degrades by 17% against 89% for an LSTM baseline of comparable clean-data accuracy.

Code Live demo

Status: accepted · IEEE Xplore link added on publication

Preprints

2025
LLM-Assisted Test Automation: A Cognitive Software Testing Framework Using Generative AI

C. Temel · TechRxiv, Nov. 2025 · sole author

A framework in which a large language model proposes, prioritizes, and repairs test cases, treating test generation as a cognitive rather than a purely syntactic task. The reference implementation is the open-source cognitest-framework.

Preprint Code
BibTeX
```
@misc{Temel2025CogniTest,
  title        = {LLM-Assisted Test Automation: A Cognitive Software Testing
                  Framework Using Generative AI},
  author       = {Temel, Cagri},
  year         = {2025},
  howpublished = {TechRxiv preprint},
  doi          = {10.36227/techrxiv.176315879.96821044/v1}
}
```
Status: preprint

Technical Reports

Self-published and archived with a DOI. Not peer-reviewed.

2026
Redditus AI Ecosystem: A Mathematically Rigorous Framework for Intelligent Real Estate Automation with Constitutional Legal AI

C. Temel, U. Kavak, R. Mousali, Y. Kurt · Zenodo, technical white paper, v2.2, Jan. 2026 · CC BY 4.0

An architecture white paper for an AI-driven real-estate ecosystem: twelve specialized AI systems on Polygon proof-of-stake infrastructure, portable blockchain-based trust through the Ethereum Attestation Service, multi-modal property valuation, multilingual communication, graph-based matching, and a constitutional legal-AI layer. The reported figures are projections from simulation on large-scale synthetic datasets calibrated against market statistics, not measurements of a deployed system. Published under the platform’s former name, Redditus, now Vardenus.

Zenodo DOI: 10.5281/zenodo.18137142
BibTeX
```
@techreport{Temel2026Redditus,
  title  = {Redditus AI Ecosystem: A Mathematically Rigorous Framework for
            Intelligent Real Estate Automation with Constitutional Legal AI},
  author = {Temel, Cagri and Kavak, Umit and Mousali, Rama and Kurt, Yakup},
  year   = {2026},
  month  = jan,
  type   = {Technical white paper},
  note   = {Version 2.2, CC BY 4.0},
  doi    = {10.5281/zenodo.18137142}
}
```

Research and projects → Patents →