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 ...
Rooftop Identification and Classification from High-Resolution Aerial Imagery for Photovoltaic Potential Analysis Using Deep Learning Ünal, Oğuz Kağan; Koçyiğit, Altan; Department of Information Systems (2026-1-29) Accurate identification of roof areas and roof types is crucial for assessing solar photovoltaic (PV)potential. This study proposes a two-stage deep learning method for roof analysis using high-resolution aerial RGB images...
Early Detection of Alzheimer’s Disease Using a Shannon Information Source Model of the Brain Şekerci, Esra; Yarman Vural, Fatoş Tunay; Department of Information Systems (2026-1-23) Alzheimer’s disease is associated with progressive disruption of resting-state functional organization that is difficult to characterize reliably using correlation- and graph-based summaries alone. This study evaluates an ...
Automatic Layout and Visualization Tool for Electrical Substation Diagrams Yılmaz, Ahmet Saim; Koçyiğit, Altan; Department of Information Systems (2026-1-23) This report presents an automated web-based single-line diagram layout and visualization system for electrical substations. The proposed system seeks to remove the need for manually drafted, error prone layouts in order to...
ESTIMATING HAPTIC PARAMETERS FROM HUMAN PREFERENCES: A BAYESIAN ACTIVE LEARNING APPROACH, Toraman, Rojda; Yet, Barbaros; Department of Cognitive Sciences (2026-1-22) Reproducing natural haptic sensations through artificial mechanical systems is a fundamental challenge in robotics. While haptic devices are controlled by precise numerical parameters, human perception of natural objects r...
Assessment of AI-generated front-end code quality: a comparative study Güler, Umut; Eren, Pekin Erhan; Department of Information Systems (2026-1-20) The adoption of AI coding tools has significantly transformed software development practices, yet empirical evidence regarding the technical quality of AI-generated code and applications remains limited, particularly for m...
A Web-Based Generative Modeling Platform for Building Layout Optimization Yasavul, Halil; Koçyiğit, Altan; Department of Cognitive Sciences (2026-1-20) In Architecture, Engineering and Construction (AEC) industry, adoption of web platforms for optimization and computational design tools is a major challenge. This study introduces Crafus, a web-based platform that runs ge...
Enhancement of Demand Forecasting for Agrochemical Products Through Advanced Analytics Kaya, Gizem; Eren, Pekin Erhan; Department of Data Informatics (2026-1-20) Demand forecasting is an essential part of supply chain planning. Accurate prediction of sales directly affect the resource efficiency and success of inventory management process. However it is especially challenging for s...
Cost of Quality Analysis for an Embedded Communication Project Kılınç, Engin; Özcan Top, Özden; Department of Information Systems (2026-1-16) This report examines the use of Cost of Quality (CoQ) analysis in hardware–software integrated embedded systems, focusing on projects where detailed quantitative effort data is not available. The study is based on a single...
Impact of Mobility on GPSR and AODV Routing Performance in FANETs Ünal, Salih Deniz; Koçyiğit, Altan; Department of Information Systems (2026-1-16) Flying Ad Hoc Networks (FANETs) enable communication between Unmanned Aerial Vehicles (UAVs); however, their high speed and mobility create significant routing challenges. This study compares the performance of Greedy Peri...
A Hybrid Deep Learning Framework for Advanced Detection of Domain Generation Algorithms Düztaş, Sinan; Tezcan, Cihangir; Department of Cybersecurity (2026-1-16) Cyber threat actors (CTAs) rely on botnets to carry out a wide range of malicious operations. These botnets are controlled by command-and-control (C2) servers. If these servers are exposed, CTAs can be detected and their a...
DATA GOVERNANCE CAPABILITY MATURITY MODEL Gökalp, Selin; Koçyiğit, Altan; Department of Information Systems (2026-1-16) Organizations increasingly witness data as a strategic asset, but quite a few of organizations still confront significant difficulties in the development of coherent and scalable data governance practices that can create v...
ENHANCING SPLICE VARIANT PREDICTION: EVALUATING BIOINFORMATICS TOOLS AND THE IMPACT OF TRAINING DATA IN THE CONTEXT OF GENETIC DISORDERS Güney Tamer, Elif; Aydın Son, Yeşim; Çavdarlı, Büşranur; Department of Medical Informatics (2026-1-15) Accurate identification of splice-altering genetic variants is critical for understanding disease mechanisms and improving clinical variant interpretation. Although deep learning–based splice prediction tools perform well ...
Aligning Reviewer Guidelines and Reviewer Feedback: A Data-Driven Study Tanrısever, Özer; Taşkaya Temizel, Tuğba; Department of Data Informatics (2026-1-14) Academic venues have established reviewer guidelines to enable standardized evaluation. This study proposes a framework designed to categorize reviewer inquiries and systematically measure their alignment with institutiona...
MORTALITY SALIENCE AND RISK-TAKING IN DECISION MAKING: CAUSAL AND COGNITIVE MODELLING OF BEHAVIORAL AND NEURAL MECHANISMS Başerdem, Elif Öykü; Yet, Barbaros; Department of Cognitive Sciences (2026-1-14) The replication crisis poses a significant challenge for Terror Management Theory (TMT), particularly regarding the link between Mortality Salience (MS) and risk-taking. While TMT argues that reminders of mortality directl...
An LLM-Driven Framework For Automatic Curriculum Learning To Enhance Generalization In Open-Ended Reinforcement Learning Orakcı, Olca; Sürer, Elif; Department of Modeling and Simulation (2026-1-14) Reinforcement Learning research has long sought to achieve generalization. The benchmark environments gradually evolved over the years to achieve this demanding task. As environments became more complex and generalization-...
ID-SDM: EXTENDING INFLUENCE DIAGRAMS FOR SHARED DECISION-MAKING AND CLINICIAN-PATIENT RELATIONSHIP YILDIRIM, ZELIHA; YET, BARBAROS; Department of Cognitive Sciences (2026-1-13) Shared Decision-Making (SDM) is a patient-centered healthcare approach emphasizing patients as equal partners with physicians in a two-way information exchange. This dissertation introduces a novel framework, ID-SDM (Influ...
PREDICTION OF SURGICAL DURATIONS USING MACHINE LEARNING METHODS Yiğit, Esin; Acar, Aybar Can; Department of Bioinformatics (2026-1-13) Accurate prediction of surgical case durations is essential for effective operating room (OR) scheduling and hospital resource management. However, many hospitals still rely on manually entered surgery times, which contain...
AN ADAPTIVE HYBRID EXTREME-VALUE FRAMEWORK FOR DAILY VALUE-AT-RISK ESTIMATION IN THE TURKISH EQUITY MARKET Kulu, Ali Rıfat; Koçyiğit, Altan; Department of Information Systems (2026-1-12) Standard risk management frameworks, particularly those relying on the Value-at-Risk (VaR) metric under normality assumptions, might fail to capture the extreme volatility observed in emerging markets. This thesis evaluate...
A COMPARATIVE EVALUATION OF COMMERCIAL AND OPEN-SOURCE DYNAMIC APPLICATION SECURITY TESTING TOOLS Şahin, Emre Can; Tezcan, Cihangir; Department of Cybersecurity (2026-1-09) Web applications are central to our daily lives, used frequently in every aspect of our lives, from banking and shopping to public services and healthcare. However, their increasingly complex structures make them an attrac...

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