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Investigating the physical, thermal, hygric and weathering behaviour of coral stones as a bioclimatic material on the Swahili coast
Purshotam, Mohit Vijay; Elias Özkan, Soofia Tahira; Department of Building Science in Architecture (2026-1-23)
Coral stone has been the most distinguished construction material in Swahili coastal vernacular architecture, demonstrating reliable durability and performance in warm-humid, saline environments. Despite its historical ben...
MICROHEATER INTEGRATED MEMS-BASED METAL-OXIDE GAS SENSORS: DESIGN AND EXPERIMENTAL STUDY
Gürpınar, Asena; Esentürk, Okan; Department of Chemistry (2026-1-23)
The rapid increase in population and industrialization amplifies the amount of toxic gases in the environment. There are many reliable methods for detecting these gases, such as Mass Spectrometry, which offer high sensitiv...
MULTI-STEP NEURAL NETWORK BASED SYSTEM IDENTIFICATION AND NMPC FOR AN UNDERACTUATED UNMANNED SURFACE VEHICLE
Yıldırım, Mustafa; Ankaralı, Mustafa Mert; Department of Electrical and Electronics Engineering (2026-1-22)
This thesis focuses on learning a dynamics model for an underactuated 3-DOF unmanned surface vehicle (USV) using neural networks and deploying the learned model inside nonlinear model predictive control (NMPC). Physics-bas...
THE ROLE OF KRAS-Gα INTERACTION IN REGULATING DOWNSTREAM PATHWAYS
Yiyen, Betül; Son, Çağdaş Devrim; Department of Molecular Biology and Genetics (2026-1-20)
KRAS protein, a member of small G proteins, is responsible for relaying signals in several signaling pathways, including cell survival, growth and proliferation. Traditionally, biological implication of KRAS has been consi...
INTEGRATING GENERATIVE AI INTO PROGRAMMING EDUCATION: AN EXPLORATORY STUDY OF STUDENT INTERACTIONS AND LEARNING OUTCOMES
güner, hacer; Er, Erkan; Department of Computer Education and Instructional Technology (2026-1-20)
This study examines how students interact with ChatGPT in an introductory programming course and how instructional approaches shape their interaction patterns, learning outcomes, and perceptions. Using a mixed-methods desi...
DEVELOPMENT AND CHARACTERIZATION OF FIBERS WITH ANTIOXIDANT PROPERTIES OBTAINED BY CENTRIFUGAL FORCE
Baştürk, Zülal Sıla; Şümnü, Servet Gülüm; Yazıcıoğlu, Nalan; Department of Food Engineering (2026-1-20)
Centrifugal spinning offers a promising method for producing fibers with significant potential in active food packaging, especially when integrated with natural antioxidants. This study investigates the fabrication of ge...
Development of a cross-arm from fiber-reinforced polymer composite angle sections for use in power distribution towers
Kılıç, Burak Talha; Baran, Eray; Department of Civil Engineering (2026-1-20)
Glass fiber-reinforced polymer (GFRP) composites are increasingly used in critical infrastructure systems due to their high strength-to-weight ratio, corrosion resistance, and ease of installation. However, their anisotrop...
Optimizing laser wakefield accelerator with genetic and machine learning methods
Öztürk, Seçkin Berkay; Yedierler, Burak; Department of Physics (2026-1-19)
Laser wakefield acceleration (LWFA) enables compact, tabletop electron accelerators by using intense laser pulses to drive plasma waves that accelerate electrons to relativistic energies. While LWFA can achieve much higher...
DESIGN AND CYTOTOXICITY ASSESSMENT OF FULLERENOL DERIVATIVES AS NEUROIMAGING PARTICLES AND CARRIER MOLECULES ACROSS THE BBB
Nursoy, Ahmet Zübeyir; Son, Çağdaş Devrim; Özçubukçu, Salih; Department of Biochemistry (2026-1-19)
After its discovery, fullerene became a point of interest in the scientific community. Its insolubility in water initially prevented its use in biomedical applications. Fortunately, studies revealed that surface modificati...
ASYMMETRIC SUPERCAPACITOR APPLICATIONS OF TRIPHENYLAMINE AND 3,4-ETHYLENEDIOXYTHIOPHENE-BASED CONJUGATED POLYMERS
Baran, Eminenur; Çırpan, Ali; Ünalan, Hüsnü Emrah; Department of Chemistry (2026-1-16)
This thesis investigates the design, synthesis, and application of triphenylamine (TPA) and 3,4-ethylenedioxythiophene (EDOT)-based conjugated polymers as electrode materials for asymmetric electrochromic supercapacitors. ...
Wasserstein distributionally robust optimization reformulations for wholesale and local energy market operations
Karabaş, Tolga; Tural, Mustafa Kemal; Peker Sarhan, Meltem; Department of Industrial Engineering (2026-1-15)
The increasing penetration of intermittent renewable energy sources (RESs) introduces substantial uncertainty into both wholesale and local electricity markets, necessitating decision-making frameworks that are robust agai...
Structure and topological generation of big mapping class groups
Bellek, Celal Can; Pamuk, Mehmetcik; Altunöz Yazıcı, Tülin; Department of Mathematics (2026-1-14)
Big mapping class groups are the mapping class groups of infinite-type surfaces, that is, surfaces whose fundamental groups are not finitely generated. While mapping class groups of finite-type surfaces have been extensive...
Locally stationary time vertex process models
Aslan, Deniz; Vural, Elif; Department of Electrical and Electronics Engineering (2026-1-13)
Graph signal processing provides a powerful framework for analyzing data defined over irregular network structures. In many real-world applications, time-vertex signals are observed only partially due to sensing failures, ...
Numerical Modeling and Investigation of Rotary Wing Aerodynamics using Free Vortex Wake Methods
Öztürk Ergin, İldeniz; Sezer Uzol, Nilay; Department of Aerospace Engineering (2026-1-07)
Accurate predictions and understanding of rotary wing aerodynamics for helicopters and wind turbines are important for efficient transportation and clean energy generation. It is also essential to predict the aerodynamic l...
Design and Control of an Agricultural Microgrid for Grid-Connected and Off-Grid Applications
Mokhtare, Mohammad Hossein; Keysan, Ozan; Department of Electrical and Electronics Engineering (2026-1-06)
Microgrids offer a viable solution for integrating distributed energy resources to electrify agricultural farms. However, designing and controlling such systems is complex and requires consideration of various technical an...
Enhancing Fault-Ride-Through Performance of a Virtual-Synchronous-Machine-Based Grid-Forming Inverter
Derogarian Miandoab, Mohammad; Keysan, Ozan; Erhan, Demirok; Department of Electrical and Electronics Engineering (2026-1-06)
With the increasing use of inverter-based resources, carbon emissions in the power sector can be reduced, but these units also introduce new challenges for grid stability due to their low inertia and sensitivity to frequen...
DEVELOPMENT OF DEMOUNTABLE CONNECTORS FOR STEEL-CONCRETE COMPOSITE BEAMS
Arıkoğlu, Pınar; Topkaya, Cem; Department of Civil Engineering (2026-1-05)
Demountable shear connectors enhance the sustainability of steel–concrete composite structures by enabling reuse and recycling. Building on this concept, this thesis develops novel demountable shear connector designs that ...
A Machine Learning Framework for High-Frequency Midprice Prediction: Feature Engineering, Hyperparameter Space Exploration, and Profit-Loss Evaluation
Tiryaki, Barış; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2026-1)
This thesis studies short-horizon mid-price direction prediction in high-frequency trading using limit order book (LOB) data from Borsa Istanbul. A machine learning framework based on XGBoost is proposed to predict whether...
FPGA Hardware Acceleration for Ultra-Low-Latency Machine Learning: Architecture and System Level Implementation for High-Frequency Trading
Koyun, Alperen; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2026-1)
Mid-price prediction with ultra-low latency is a fundamental component in High Frequency Trading (HFT). This thesis explores the realization of XGBoost machine learning models on FPGA to achieve accurate predictions within...
Integrating solutions for enabling the sustainable development of energy, water and environment systems
Kılkış, Şiir; Krajacic, Goran; Duic, Neven (2026-01-01)
The world has reached 1.24 degrees C of global warming above pre-industrial levels when averaged over the last decade, necessitating time-saving options for the mitigation of climate change. Within a long-term scientific p...
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