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Seminars

  • Improving the performance of prioritized planning in multi-agent path finding

    MSc Thesis📅 23.01.2026 — 13:30 👤 Speaker: ANIL CABAK 🎓 Supervisor(s): PROF.DR.FARUK POLAT 📍 Location: A105 ⏲ Duration: 90 min. 📝 Abstract: MAPF is a fundamental challenge that is frequently encountered in robotics, warehouse automation, and systems with more than one robot. The goal is to find paths for multiple agents that don…

  • FROM SYNTHETIC MEDIUM TO REAL-WORLD APPLICATION: FINE-TUNING A MEDICAL LLM FOR DDX

    MSc Thesis📅 23.01.2026 — 10:00 👤 Speaker: EZGI CAVAS 🎓 Supervisor(s): PRFO.DR.NIHAN KESIM CICEKLI, DR.AYSENUR BIRTURK 📍 Location: A101 ⏲ Duration: 90 min. 📝 Abstract: Access to large-scale, annotated EHR is limited by privacy rules. This creates a major setback for training strong clinical NLP models. Synthetic data provides a…

  • GRAPH-BASED REPRESENTATION LEARNING FROM LARGE-SCALE BIOMEDICAL NETWORKS

    PhD Thesis📅 22.01.2026 — 13:00 👤 Speaker: GOKHAN OZSARI 🎓 Supervisor(s): PROF.DR.HALIT OGUZTUZUN,PROF.DR.M.VOLKAN ATALAY 📍 Location: A101 ⏲ Duration: 120 min. 📝 Abstract: Graph Neural Networks (GNNs) have gained significant attention in drug discovery due to their ability to model graph-structured biological and chemical data,…

  • SEMANTIC MATCHING FOR REVIEWER ASSIGNMENT: AN ABLATION STUDY OF DENSE RETRIEVAL AND LLM REASONING

    MSc Thesis📅 22.01.2026 — 10:00 👤 Speaker: IREM DERELI 🎓 Supervisor(s): PROF.DR.NIHAN KESIM CICEKLI 📍 Location: A105 ⏲ Duration: 90 min. 📝 Abstract: Assigning suitable academic reviewers to research projects is a complex task that requires understanding both the semantic content of project descriptions and the diverse research…

  • Surrogate Modeling of Aerodynamic Surfaces Using Geometric Deep Learning

    MSc Thesis📅 15.01.2026 — 11:00 👤 Speaker: HAKAN ARI 🎓 Supervisor(s): PROF.DR.MURAT MANGUOGLU, ASSOC.PROF.DR.HANDE ALEMDAR 📍 Location: A101 ⏲ Duration: 90 min. 📝 Abstract: Accurate calculation of physical quantities such as surface pressure, wall shear stress, and temperature is crucial in aerodynamic design processes. Data-…

  • Enhancing Retrieval Augmented Generation via Decomposional Reasoning and Active Learning

    MSc Thesis📅 13.01.2026 — 14:00 👤 Speaker: AHMET KAGAN KAYA 🎓 Supervisor(s): ASSOC.PROF.DR.R.GOKBERK CINBIS 📍 Location: A105 ⏲ Duration: 90 min. 📝 Abstract: The deployment of Large Language Models (LLMs) in knowledge-intensive domains is currently challenged by two critical bottlenecks: the computational cost of inference and…

  • Real-Time Global Illumination with Deep Radiance Reconstruction under Camera and Object Motion

    PhD Thesis📅 13.01.2026 — 11:00 👤 Speaker: GULCE BAL 🎓 Supervisor(s): PROF.DR.AHMET OGUZ AKYUZ 📍 Location: A105 ⏲ Duration: 120 min. 📝 Abstract: Real-time global illumination is challenging due to the high computational cost of simulating complex light transport. Existing learning-based methods relying on precomputed radiance…

  • Machine Learning Solutions for High Dynamic Range Content Creation and Perceptual Image Quality Evaluation

    Seminar📅 24.12.2025 — 13:00 👤 Speaker: Dr. Uğur Çoğalan 📍 Location: BMB5 ⏲ Duration: 60 min. 📝 Abstract: Conventional imaging sensors often struggle to capture the full dynamic range of real-world scenes, leading to a loss of detail in shadows and highlights. This talk presents a holistic approach to overcoming these limitations by…

  • Unsteady Bipedal Walking

    Seminar📅 04.12.2025 — 13:30 👤 Speaker: Dr. Osman Darici 📍 Location: BMB3 ⏲ Duration: 60 min. 📝 Abstract: How do people control their gait in unsteady conditions such as walking over uneven terrain or over varying distances? Do young and older adults respond differently to such unsteady conditions? And can wearable technology be used to…

  • A LIGHTWEIGHT ONE-CLASS CLASSIFICATION METHOD USING MULTI-SCALE FEATURE FUSION WITH CHANNEL ATTENTION FOR INDUSTRIAL ANOMALY DETECTION

    MSc Thesis📅 01.12.2025 — 11:00 👤 Speaker: YUSUF SOYDAN 🎓 Supervisor(s): ASSOC.PROF.DR.SEYDA ERTEKIN 📍 Location: DTX ARASTIRMA MERKEZI ⏲ Duration: 90 min. 📝 Abstract: Anomaly detection is important for finding production faults and plays a key role in efficiency, reliability, and process quality. Since manual visual inspection…