Hulusi Önal

Hulusi Önal serves as a Researcher in the Department of Electronics and Communication Engineering at Istanbul Technical University, specializing in microwave-based cancer treatment technologies. His work bridges biomedical engineering and artificial intelligence to enhance hyperthermia therapy precision.

His research concentrates on deep learning applications for real-time temperature distribution mapping during microwave hyperthermia, with emphasis on breast tumor treatments. Key methodologies include Born Iterative Method optimization, Singular Sources analysis, and neural network-driven hotspot detection systems that address critical signal-to-noise ratio challenges in medical imaging.

Analysis of his 2023-2025 publications reveals a cohesive research trajectory focused on non-invasive cancer therapy advancement. His work systematically integrates deep learning with electromagnetic field modeling to solve persistent problems in temperature monitoring accuracy, image analysis reliability, and treatment safety during hyperthermia procedures.