Scholar
Bilal Kabas
Google Scholar ID: THsUL94AAAAJ
M.Sc. Student, Bilkent University
Citations & Impact
Citations
204
H-index
6
i10-index
5
Publications
17
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published 'Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction' and other works.
Research Experience
- AI Engineer at Scopic; Graduate Researcher at UMRAM (National Magnetic Resonance Research Center). Previously worked at Aselsan (2021–2025), where he developed AI-driven sensing systems and machine learning models for distributed acoustic sensing (DAS), sound event detection, and high-speed weigh-in-motion (HSWIM).
Education
- Earned B.Sc. in Electrical and Electronics Engineering from Abdullah Gül University in 2020, graduating as the class valedictorian. Conducted research at the Distributed Intelligent Robotics Estimation & Control (DIREC) Lab under Dr. Samet Güler, working on autonomous UAV navigation and deep reinforcement learning for source seeking in occluded environments during undergraduate studies.
Background
- AI Engineer, specializing in deep learning, machine learning, large language models (LLMs), and agentic AI. Current work focuses on developing agentic retrieval-augmented generation (RAG) architectures to enhance LLM grounding and reasoning. As a researcher, his work revolves around generative modeling—particularly diffusion, GAN, and NeRF frameworks—for medical image synthesis and reconstruction.
