Graduate School of Informatics, Thesis

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Thesis (1004)

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Author
Akkoyun, Emrah (2)
Akyol, Mehmet Ali (2)
Alaşehir, Oğuzhan (2)
Albayrak, Samet (2)
Alkan, Sarper (2)

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Engineering and Technology (194)
Social Sciences and Humanities (88)
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Computer software. (33)

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1998 - 1999 (3)
2000 - 2009 (206)
2010 - 2019 (495)
2020 - 2025 (300)

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Master Thesis (758)
Ph.D. Thesis (246)

Recent Submissions

Deciphering sequence variations and splicing sensitivity: predictive analysis of PSI in SRRM4 response groups Böler, Ümit Sude; Otlu Sarıtaş, Burçak; Dias, Mafalda; Department of Bioinformatics (2025-9-01) Alternative splicing is essential for the expansion of transcriptomic complexity, with microexons representing some of the most functionally critical and tightly regulated splicing events in neural development. Because mic...
FLAW DETECTION IN ALUMINIUM CASTINGS LEVERAGING SYNTHETIC DATA FOR NON-DESTRUCTIVE TESTING Erkan, Umut Can; Sürer, Elif; Yaman, Ulaş; Department of Modeling and Simulation (2025-9-01) Non-destructive testing (NDT) using radiographic imaging plays a vital role in quality assurance for industrial manufacturing, particularly in detecting internal flaws in aluminum castings. However, the application of deep...
Exploring Technical Debt Across ML Project Lifecycle: A Process-Oriented Analysis Based on ISO Standards Yorgancılar Akgül, Nilay; Taşkaya Temizel, Tuğba; Özcan Top, Özden; Department of Data Informatics (2025-9) AI-integrated software systems are increasingly adopted across various domains, offering improved capabilities but also introducing unique technical challenges. Compared to traditional software systems, AI systems are more...
Modeling Disease Progression with Diffusion-Based Generative Models KURT, Meryem Mine; Temizel, Alptekin; Department of Modeling and Simulation (2025-8-29) Disease progression modeling in medical imaging presents significant challenges due to the scarcity of longitudinal data and the inherent class imbalance in medical datasets. This thesis introduces a novel conditional diff...
GREEN RENOVATOR: A SERIOUS GAME FOR AWARENESS-RAISING IN SUSTAINABLE URBAN ENERGY MANAGEMENT AND BUILDING RETROFITS Ozan, Ali; Sürer, Elif; Gürsel Dino, İpek; Department of Modeling and Simulation (2025-8-28) This thesis presents Green Renovator, a serious game designed to raise public awareness of city-scale energy management grounded in a real neighborhood dataset. Following a width-over-depth design philosophy, the game puts...
ADAPTIVE DATA AUGMENTATION THROUGH PROMPT-DRIVEN POLICY OPTIMIZATION WITH LARGE LANGUAGE MODELS Duru, Ant; Temizel, Alptekin; Department of Modeling and Simulation (2025-8-28) Data augmentation is a critical component of deep learning pipelines, enhancing model generalization by increasing dataset diversity. Traditional augmentation strategies rely on manually designed transformations, stochasti...
Joint Temperature-Luminosity Classification of Stellar Spectra with a Distance-Aware Loss Function Sezen, Volga; Temizel, Alptekin; Department of Data Informatics (2025-8-28) Modern sky surveys continue to produce large datasets, making automated classification essential for population studies and new discoveries. In this work, a stellar spectral database was assembled from five public librarie...
A CHALLENGE-DRIVEN APPROACH TO IMPROVE SOFTWARE SYSTEM RESEARCH AND DEVELOPMENT PROJECT PROCESSES GÜNEŞ, HANDE; ÖZCAN TOP, ÖZDEN; Department of Information Systems (2025-8-27) Research and Development (R&D) projects are conducted across various sectors, particularly in automotive, energy, medical/pharmaceutical, and software industries. These projects present significant challenges due to the in...
EXPLORING STUDENTS’ PERSPECTIVE ON ADOPTING GENERATIVE ARTIFICIAL INTELLIGENCE FOR LEARNING: AN EMPIRICAL STUDY Zaka, Minal; Özkan Yıldırım, Sevgi; Department of Information Systems (2025-8-27) Generative artificial intelligence (GenAI) is reshaping higher education by offering personalized and efficient learning support. However, even with the research on the acceptance of GenAI ongoing, the students' perception...
METHODS FOR RECORDING, INTERPOLATION AND REPRODUCTION OF 6 DEGREES-OF-FREEDOM IMMERSIVE AUDIO USING RIGID SPHERICAL MICROPHONE ARRAYS Olgun, Orhun; Hacıhabiboğlu, Hüseyin; Olgun, Orhun; Department of Modeling and Simulation (2025-8-25) Future immersive media systems must support six degrees-of-freedom (6DoF) user movement to deliver realistic audiovisual experiences. While rigid spherical microphone arrays (SMAs) are standard for 3DoF spatial audio captu...
Cost-driven predictive maintenance strategy based on varying prediction horizons Gevrek, Rabia Nur; Koçyiğit, Altan; Department of Data Informatics (2025-8-25) This thesis explores the use of predictive maintenance strategies under varying prediction horizons for complex machines. In practical settings, deciding the right time for maintenance is often more important than simply p...
ADAPTIVE WINDOW SAMPLING AND FILTERING FOR CONTINUOUS MOBILE BEHAVIORAL AUTHENTICATION Kaplan, Muratcan; Taşkaya Temizel, Tuğba; Department of Data Informatics (2025-8-21) Continuous behavioral authentication verifies user identity in real-time through patterns in natural device interactions, such as touch gestures and hand movements. An important challenge in this domain is identifying segm...
A Mobile Touch-Based Continuous Authentication System via User-Specific Distribution Based Learning Gündüz, Gürkan; Taşkaya Temizel, Tuğba; Department of Data Informatics (2025-8-21) Mobile devices are exposed to security threats, even when protected by traditional authentication methods such as passwords, PINs, or physiological biometrics. These methods are vulnerable to attacks like shoulder surfing ...
METADATA-GUIDED GENERATION OF DOMAIN-SPECIFIC PEER REVIEWS WITH LLMS Çavuş, Ezgi; ,; Department of Information Systems (2025-8-21) Large Language Models (LLMs) are increasingly used to support academic evaluation, yet they often struggle to capture the domain-specific criteria essential for rigorous peer review. While existing reviewer guidelines and ...
VISUAL PERCEPTION OF HUMAN AND ROBOT MOTION WITHIN THE FRAMEWORK OF PREDICTIVE PROCESSING Özen, Gizem; Çakır, Murat Perit; Ürgen, Burcu Ayşen; Department of Cognitive Sciences (2025-8-18) The main aim of the present thesis is to explore how long-term and short-term prior knowledge interact in shaping visual perception of form and motion. By conducting three experiments, behavioral and electrophysiological m...
GENERALIZED OUTLIER EXPOSURE FOR ROBUST OUT-OF-DISTRIBUTION DETECTION: A STUDY ON MIXING, FILTERING, AND AUGMENTATION Öztel, Fatma; Altan, Koçyiğit; Department of Data Informatics (2025-8) Outlier Exposure (OE)-based Out-of-Distribution (OOD) detection methods achieve strong performance by leveraging OOD data during training. However, OE can sometimes negatively impact classification performance, which remai...
ROOT CAUSE ANALYSIS WITH PROBABILISTIC GRAPHICAL BAYESIAN NETWORK MODELS INTEGRATED WITH AFFINITY DIAGRAMS Çınar, Furkan; Yet, Barbaros; Department of Information Systems (2025-7-29) Qualitative management tools are widely used to analyse root causes of management problems in the industry. However, the use of these tools for business problems is challenging. Their application requires considerable time...
MULTIMODAL DATA FUSION AND MULTICOMPARTMENT IMAGE ANALYSIS IN ACUTE AND CHRONIC LUNG DISEASES Er, Ahmet Görkem; Aydın Son, Yeşim; Department of Medical Informatics (2025-7-16) This thesis investigates multimodal data fusion and multicompartment image analysis to enhance diagnostic modeling and clinical prediction in acute and chronic lung diseases. Two distinct patient cohorts were analyzed to a...
EXPLORING PSD AND MCL BASED DIFFERENTIATION OF ADHD AND MDD USING MULTILAYER PERCEPTRON İNAL, ERİS; Özkurt, Tolga Esat; Department of Bioinformatics (2025-7-16) This thesis investigates the potential of EEG-based features to distinguish between Attention Deficit Hyperactivity Disorder (ADHD) and Major Depressive Disorder (MDD), two conditions that often share overlapping symptoms ...
IMPLEMENTATION OF BINARY NEURAL NETWORKS IN FPGA-BASED RECONFIGURABLE SYSTEMS Atabey, Salih; Akagündüz, Erdem; Department of Information Systems (2025-7-08) In embedded and edge computing systems where real-time performance and energy consumption are critical, binary neural networks are becoming more and more relevant. Computational complexity and memory requirements are much ...

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