Graduate School of Informatics

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Recent Submissions

Exploring the genetic landscape of COVID-19 susceptibility and severity among patients in Türkiye Er, Ahmet Gorkem; Çakır, Yavuzhan; Er, Berrin; Burduroğlu, Hüseyin Cahit; Çakmak, Mehmet; ÖZIŞIK, LALE; DURUSU TANRIÖVER, MİNE; Topeli, Arzu; Aydın Son, Yeşim; Ünal, Serhat (2026-12-01) Background: One of the most challenging factors for clinicians in managing COVID-19 has been differences in the clinical course. To investigate the parameters associated with severe disease in detail, along with examining ...
SOT-GLP: Sparse optimal transport guided local-global prompt learning Kizaroglu, Deniz; Kucuktas, Ulku Tuncer; Cakmakyurdu, Emre; Temizel, Alptekin (2026-09-01) Few-shot adaptation of vision-language models (VLMs) like CLIP typically relies on learning textual prompts matched to global image embeddings. Recent works extend this paradigm by incorporating local image-text alignment ...
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...
A robust machine learning framework for predicting the higher heating value of poultry litter using proximate analysis Eren, Beytullah; Uzun, Suleyman; Özdemir, Serkan (2026-08-01) Accurate estimation of the higher heating value (HHV) of poultry litter is critical for its valorization as a renewable energy feedstock. However, the heterogeneity of poultry litter and data scarcity pose challenges for p...
Variational Autoencoders for P-wave detection on strong motion earthquake spectrograms Ispak, Turkan Simge; Tileylioglu, Salih; Akagündüz, Erdem (2026-08-01) Accurate P-wave detection is critical for earthquake early warning, yet strong-motion records pose challenges due to high noise levels, limited labeled data, and complex waveform characteristics. This study reframes P-wave...
Insightful problem solving and social learning in children's tool making: Exploring the role of napping, night sleep, age, and gender Gönül, Gökhan; Karabulut, Anıl; Hohenberger, Annette (2026-07-01) Insight and innovation are two crucial components of our problem-solving capacity to create novel tools. In this study, we explored the possible contribution of task break (napping or wakeful), age (3-to-5-year-olds), gend...
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...
PROMETHEUS: TOWARDS INDUSTRIAL FOUNDATION MODELS FOR CONTINUOUS PRODUCTION ENVIRONMENTS Özden, Baran; Koçyiğit, Altan; Gökalp, Mert Onuralp; Department of Information Systems (2026-6-26) Foundation models have revolutionized artificial intelligence in language and vision, yet no comparable architecture exists for the continuous production environments of heavy industry. Today, process industries deploy tas...
ANALYZING GENE REPLICATION TIME USING DNA REPLICATION TIME Tercan, Abdullah; Otlu Sarıtaş, Burçak; Department of Bioinformatics (2026-6-23) DNA replication, while essential for genetic inheritance, is also a significant source of mutations. This process is highly orchestrated, with different genomic regions replicating at specific times during the S phase of t...
AN LLM-POWERED CONVERSATIONAL ANALYTIC SYSTEM FOR INTELLIGENT DATA DISCOVERY ACROSS MESH-FABRIC DATA ENVIRONMENTS Şayli, Elif Beril; Koçyiğit, Altan; Department of Information Systems (2026-6-18) Today, modern organizations operate in increasingly complex data environments where traditional centralized architectures struggle to meet demands for scalability and agility. A persistent challenge is the effective manage...
A SUCCESS ASSESSMENT MODEL AND METHODOLOGY FOR DATA SCIENCE PROJECTS Gökay, Gonca; Eren, Pekin Erhan; Aydın, Ebru Gökalp; Department of Information Systems (2026-6-18) This research addresses a persistent paradox in the digital economy: While data is increasingly recognized as a strategic asset, data science projects designed to leverage its potential impact continue to suffer from high ...
A User Guide for DS PRO-S (Data Science Projects Success Assessment Model) Gökay, Gonca; Eren, Pekin Erhan; Department of Information Systems (2026-6-18) This technical report presents the DS PRO-S User Guide, prepared to support the practical implementation of the Data Science Projects Success Assessment Model (DS PRO-S). The guide provides step-by-step instructions for ap...
Analysis of agile methodologies’ adoption using interpretive structural modelling: Turkish defense industry case Şenyüzlü, Batuhan; Özkan Yıldırım, Sevgi; Department of Information Systems (2026-6-17) Although the demand for agile methodologies in organizations has grown exponentially, as a flexible and collaborative approach capable of enhancing organizations' success, their adoption requires serious attention to addre...
NON-TECHNICAL DEBT IN AI-ENABLED SOFTWARE SYSTEMS: A PROCESS-CENTRIC MAPPING TO LIFECYCLE STANDARDS Kapiyasheva, Diana; Özcan Top, Özden; Taşkaya Temizel, Tuğba; Department of Information Systems (2026-6-15) Non-Technical Debt (NTD), arising from organizational, cultural, and people-related inefficiencies, significantly compromises the quality and sustainability of artificial intelligence (AI)-enabled software systems. While i...
DEEP LEARNING-BASED PHASE DETECTION USING STRONG MOTION DATA İşpak, Türkan Simge; Akagündüz, Erdem; Tileylioğlu, Salih; Department of Modeling and Simulation (2026-6-12) Earthquake Early Warning (EEW) systems depend on rapid and reliable detection of Primary (P) waves to provide alerts before the more destructive Secondary (S) waves arrive. Detecting P-waves in strong motion accelerograms ...
DEVELOPMENT OF THE MIRHUB DATABASE: MAPPING TCGA DATA ON SNV PRESENCE AND DIFFERENTIAL EXPRESSION IN MIRNA-MRNA DUPLEXES Yıldız, Kerem; Aydın Son, Yeşim; Department of Medical Informatics (2026-6-9) Micro RNAs (miRNAs) play a role in post-transcriptional gene regulation through a distinct mechanism to down-regulate gene translation. Recent studies have shown that dysfunction at the miRNA level can be the underlying et...
Regime-aware day-ahead electricity consumption forecasting for Türkiye: A meta-learning-based ensemble approach Savaş, Alp Demir; Koçyiğit, Altan; Department of Information Systems (2026-6) Day-ahead electricity consumption forecasting is very important for power system operation, market planning, and reserve scheduling. This thesis focuses on developing accurate day-ahead electricity consumption profiles for...
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...
Non-coding RNAs as biomarkers and therapeutic targets in pancreatic cancer: Clinical implications and translational perspectives Carretero-Fernández, María; Ruíz-Durán, Lucía; Uysal-Onganer, Pinar; Daniel, Neil; Yiannakopoulou, Eugenia; Otlu Sarıtaş, Burçak; García-Verdejo, Francisco José; López-López, José Antonio; Ortega Sánchez, Francisco Gabriel; Bonilla, Marco; Mesa, Francisco; Reyes-Zurita, Fernando; Gutiérrez-Bautista, Juan Francisco; González-Olmedo, Carmen; Fernández-Baldo, Martín A.; Campa, Daniele; Sánchez-Rovira, Pedro; Hughes, David; Cabrera-Serrano, Antonio José; Sainz, Juan (2026-06-01) Pancreatic cancer remains one of the most lethal malignancies, largely due to late diagnosis, marked tumor heterogeneity, and profound resistance to therapy. Beyond recurrent alterations in protein-coding genes, growing ev...
Analysis of Technical Debt in Relational Database Management Systems: A Case Study Yılmaz, Yaren; Özcan Top, Özden; Department of Information Systems (2026-6) This study investigates technical debt in Relational Database Management Systems (RDBMS), a critical but often underexplored area compared to general software code and architecture debt. The research aims to identify what ...

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