Seminars
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Long-Tailed Visual Recognition with Learnable Average Precision Loss
MSc Thesis📅 12.08.2026 — 13:00 👤 Speaker: BURAK FERIT AKTAN 🎓 Supervisor(s): PROF.DR.SINAN KALKAN, ASSOC.PROF.DR.EMRE AKBAS 📍 Location: A105 ⏲ Duration: 90 min. 📝 Abstract: Real-world data is often long-tailed. Most of the training samples belong to common classes, while rare classes have limited samples. Models trained on long… -
A Multimodal Framework for Source Code Vulnerability Detection, Explanation, and Mitigation
PhD Thesis📅 30.07.2026 — 13:30 👤 Speaker: IBRAHIM TARAKCI 🎓 Supervisor(s): PROF.DR.HALIT OGUZTUZUN, ASST.PROF.DR.SELMA SULOGLU 📍 Location: A105 ⏲ Duration: 120 min. 📝 Abstract: This thesis develops a multimodal approach to source code vulnerability detection, explanation, and mitigation. It investigates complementary software… -
HARDWARE ACCELERATORS FOR TRANSFORMERS BASED AI APPLICATIONS
MSc Thesis📅 22.07.2026 — 13:30 👤 Speaker: ARDA CEKIC 🎓 Supervisor(s): ASSOC.PROF.DR.SEYDA ERTEKIN 📍 Location: METU DTX ⏲ Duration: 90 min. 📝 Abstract: Large Language Models (LLMs) achieve strong performance in many natural language processing tasks, but their high computational and memory requirements make hardware deployment… -
HARDWARE ORIENTED MODELING OF LLM ACCELERATOR PIPELINE
MSc Thesis📅 22.07.2026 — 13:30 👤 Speaker: ARDA CEKIC 🎓 Supervisor(s): ASSOC.PROF.DR.SEYDA ERTEKIN 📍 Location: METU DTX ⏲ Duration: 90 min. 📝 Abstract: Large Language Models (LLMs) achieve strong performance in many natural language processing tasks, but their high computational and memory requirements make hardware deployment… -
Beyond Models: Building the Next Generation AI Platforms for Science and Society
Seminar📅 13.07.2026 — 13:30 👤 Speaker: Dr. İlkay Altıntaş 📍 Location: BMB5 ⏲ Duration: 60 min. 📝 Abstract: Artificial intelligence is entering a new phase where the greatest opportunity lies beyond foundation models. The next frontier is building AI platforms that integrate data, computation, agents, workflows, and scientific expertise to… -
Generalizable Deep Learning Approaches for Computational Drug Discovery
PhD Thesis📅 24.06.2026 — 13:00 👤 Speaker: GOKHAN OZSARI 🎓 Supervisor(s): PROF.DR.HALIT OGUZTUZUN,PROF.DR.M.VOLKAN ATALAY 📍 Location: A101 ⏲ Duration: 120 min. 📝 Abstract: Computational prediction of drug–target interactions is central to modern drug discovery, enabling the prioritization of candidate compounds before costly… -
A Unified Sequence Modeling Framework for Imperfect-Information Trick-Taking Card Games
PhD Thesis📅 11.06.2026 — 11:00 👤 Speaker: BUGRA KAAN DEMIRDOVER 🎓 Supervisor(s): PROF.DR.FERDA NUR ALPASLAN 📍 Location: A101 ⏲ Duration: 120 min. 📝 Abstract: This thesis investigates whether transformer-based sequence modeling can serve as a practical and reusable reinforcement learning framework for trick-taking card games… -
DEVELOPMENT AND IMPLEMENTATION OF A PATIENT EMPOWERMENT PLATFORM FOR MULTIMORBID ELDERLY PATIENTS WITH DEMENTIA
MSc Thesis📅 08.06.2026 — 11:00 👤 Speaker: AHMET EMRE AKPINAR 🎓 Supervisor(s): PROF.DR.NIHAN KESIM CICEKLI 📍 Location: A105 ⏲ Duration: 90 min. 📝 Abstract: This thesis presents the development and implementation of the Patient Empowerment Platform (PEP), an innovative mobile application designed to enhance the management and… -
GRAPH-ENHANCED PRECEDENT CASE RECOMMENDATION FOR THE TURKISH LEGAL SYSTEM
MSc Thesis📅 08.06.2026 — 10:00 👤 Speaker: MUSTAFA MERT KOSE 🎓 Supervisor(s): PROF.DR.NIHAN KESIM CICEKLI 📍 Location: A105 ⏲ Duration: 90 min. 📝 Abstract: Legal professionals in Turkey face a growing challenge in efficiently locating rel- evant precedent cases from an ever-expanding corpus of judicial decisions. While graph-… -
Evaluation of Hybrid Rendering Pipelines for Screen-Spaced and Ray-Traced Reflections
PhD Thesis📅 03.06.2026 — 10:30 👤 Speaker: SERKAN PEKCETIN 🎓 Supervisor(s): PROF.DR.AHMET OGUZ AKYUZ 📍 Location: A105 ⏲ Duration: 120 min. 📝 Abstract: Recently, with the advent of real-time ray tracing on consumer-grade graphical processing units (GPUs), hybrid methods that leverage the rasterization pipeline and ray tracing…