Seminerler
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Enhancing Efficiency in Large-Scale Search: From Traditional to Neural Retrieval Systems
PhD Thesis📅 23.02.2026 — 13:30 👤 Speaker: ERMAN YAFAY 🎓 Supervisor(s): PROF.DR.ISMAIL SENGOR ALTINGOVDE 📍 Location: A105 ⏲ Duration: 120 min. 📝 Abstract: Efficient retrieval of relevant documents from massive collections remains an essential challenge in Information Retrieval (IR). Modern search engines face immense… -
Advancing Dialogue Systems with Temporal Contextual Topic Forecasting and Controlled Response Retrieval
PhD Thesis📅 23.02.2026 — 13:00 👤 Speaker: EMRE KULAH 🎓 Supervisor(s): ASSOC.PROF.DR.HANDE ALEMDAR 📍 Location: A101 ⏲ Duration: 120 min. 📝 Abstract: Dialogue systems powered by large language models (LLMs) show strong generative abilities but often struggle with informal language, long-term coherence, and grounded responses in… -
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): PROF.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… -
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…