Portrait of Dilara Kizilkaya

Dilara Kizilkaya

Computer Engineering graduate • M.S. Computer Science @ University of Iowa • Research Assistant, IIHR–Hydroscience & Engineering

I focus on advancing artificial intelligence through large language models (LLMs), applying them to real-world challenges. I am currently a Graduate Research Assistant at IIHR–Hydroscience & Engineering, where I work on AI-driven solutions for scientific computing. During my undergraduate studies, I served as a Research Assistant with the Erciyes Neutrino Research Group (ENRG) and contributed to the ANNIE experiment at Fermilab, gaining hands-on experience with particle physics data analysis. My goal is to bridge AI and scientific computing to create meaningful, rigorous research — and I’m always open to new collaborations.

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Publications

Preprints and artifacts linked where available.

Comprehensive Machine Learning Model Comparison for Cherenkov and Scintillation Light Separation due to Particle Interactions

E. Tiras, M. Tas, D. Kizilkaya, M. A. Yagiz, M. Kandemir

arXiv preprint arXiv:2406.09191, 2024

Toward HydroLLM: a benchmark dataset for hydrology-specific knowledge assessment for large language models

D. Kizilkaya, R. Sajja, Y. Sermet, I. Demir

Environmental Data Science, 4, e31, 2025

Towards HydroLLM: approaches for building a domain‑specific language model for hydrology

D. Kizilkaya, Y. Sermet, I. Demir

Journal of Hydroinformatics, 2025 — DOI: 10.2166/hydro.2025.100

Floodplain Management in Practice: Interview-Based Insights into Tool Gaps and Digital Needs

D. Kizilkaya, Y. Sermet, I. Demir

In progress

Conferences

Conference presentations and academic talks.

Neutrino 2024

Milano, Italy

June 2024

Presented "Comprehensive Machine Learning Model Comparison for Cherenkov and Scintillation Light Separation due to Particle Interactions" arXiv:2406.09191

10th Istanbul High Energy Physics Workshop

Istanbul, Turkey

May 2024

Projects

Selected work across AI, hydrology, and quantum/particle physics.

Contact

Open to collaborations in AI, ML, and scientific computing.

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