Seminerler
PRIVACY-PRESERVING ANOMALY DETECTION FOR SMART ENERGY MANAGEMENT
PhD Thesis📅 27.02.2026 — 10:30 👤 Speaker: MANOLYA ATALAY 🎓 Supervisor(s): ASSOC.PROF.DR.PELIN ANGIN ULKUER 📍 Location: A105 ⏲ Duration: 120 min. 📝 Abstract: The widespread deployment of smart meters in modern energy grids introduces not only unprecedented opportunities for high-frequency analytics, but also acute privacy and…Natural Language Interfaces for Databases: Approaches to the Problem of Query Generation
PhD Thesis📅 23.02.2026 — 14:30 👤 Speaker: ARIF GORKEM OZER 🎓 Supervisor(s): PROF.DR.I.HAKKI TOROSLU,PROF.DR.PINAR KARAGOZ 📍 Location: BMB5 ⏲ Duration: 120 min. 📝 Abstract: The number of databases, as well as their size and complexity, is steadily increasing. This trend creates a significant barrier to data access, especially…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…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): 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…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…