Tuğba Taşkaya Temizel

E-mail

ttemizel@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0001-7387-8621

Scopus Author ID

8847715500

Web of Science Researcher ID

AAF-7328-2019

Implicit security requirements classification with large language models using the OWASP application security verification standard: a shift-left approach Gür, Yusuf; Taşkaya Temizel, Tuğba; Günel Kılıç, Banu (2026-09-01) Cybersecurity threats require early integration of security, starting from the requirements analysis phase of the Software Development Life Cycle (SDLC). However, security requirements in Software Requirements Specificatio...
Design Reuse Via Automated Requirements-Driven Retrieval: A Framework for Electronic Hardware Uyar, Ekrem Bilgehan; Gokce, Cemil; Gursoy, Ali Ergin; Taşkaya Temizel, Tuğba (2026-07-01) Design reuse accelerates hardware development by improving efficiency, reducing costs, and shortening time-to-market. However, retrieving reusable circuit blocks directly from natural-language requirements remains challeng...
Optimal Transport and Graph Neural Networks for Cross-Session Mental Workload Classification Demirezen, Güliz; Brouwer, Anne-Marie; Taşkaya Temizel, Tuğba (2026-06-01) Electroencephalography (EEG) offers a noninvasive, high-temporal-resolution modality for estimating mental workload. However, session-to-session variability limits the generalizability of workload classifiers, and few syst...
Feature Distribution-Based Touch Biometrics Using CNN and Siamese Networks Gündüz, Gürkan; Kaplan, Muratcan; Taşkaya Temizel, Tuğba (2025-01-01) Ensuring secure and user-friendly authentication is important as mobile devices increasingly handle sensitive data. Traditional methods like PINs, fingerprints, and facial recognition have privacy limitations, whereas beha...
Aligning Data Debt with AI-Integrated Software Project Lifecycle Processes: A Standard-Based Mapping Approach Akgül, Nilay Yorgancılar; Taşkaya Temizel, Tuğba; Özcan Top, Özden; Akman, Pelin Dayan (2025-01-01) Artificial Intelligence (AI) technologies have become increasingly central to software development, enhancing efficiency with tools such as intelligent code assistants and driving innovations in products like chatbots, rec...
Post-Inference Guided Transformer for Anomaly Interval Localization in Multivariate Time Series Uzuntürk, Göksu; Taşkaya Temizel, Tuğba (2025-01-01) Range-based anomaly detection in multivariate time series is critical for real-world applications such as industrial monitoring, where anomalies often span intervals and exhibit distinct types. We propose a transformer-bas...
Identification of Land Use Mix Using Point-Based Geospatial Data in Urban Areas Akyol, Mehmet Ali; Taşkaya Temizel, Tuğba; Duzgun, Sebnem; Baykal, Nazife (2024-08-01) Identifying land use mix (LUM) in urban areas is challenging, often requiring extensive human intervention and fieldwork. Accurate classification of LUM is crucial for various disciplines, including urban planning, urban e...
Reproducible machine learning research in mental workload classification using EEG Demirezen, Güliz; Taşkaya Temizel, Tuğba; Brouwer, Anne-Marie (2024-01-01) This study addresses concerns about reproducibility in scientific research, focusing on the use of electroencephalography (EEG) and machine learning to estimate mental workload. We established guidelines for reproducible m...
HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs Uluoglakci, Cem; Taşkaya Temizel, Tuğba (2024-01-01) Hallucinations pose a significant challenge to the reliability and alignment of Large Language Models (LLMs), limiting their widespread acceptance beyond chat-bot applications. Despite ongoing efforts, hallucinations remai...
Analyzing Socioeconomic Status through Culinary Ingredients: A Large-Scale Study of Pita and Pizza Dishes Kilic, Oz; Taşkaya Temizel, Tuğba (2024-01-01) This study investigates whether the ingredients listed on restaurant menus can provide insights into a city's socioeconomic status. Using data from an online food delivery system, the study compares menu items with local e...

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