Projects

Project Title	Development of a Robot-Assisted New Frameless Stereotactic Brain Biopsy System
Supporting Institution(s)	TÜSEB
Project Team	Prof. Dr. Ömür AYDOĞMUŞ
Project Summary	Brain biopsy is a highly critical and significant procedure. Stereotactic frame-based brain biopsy has long been a preferred method for obtaining tumorous/lesioned tissue. However, this method involves disadvantages such as attaching the frame twice, making a large incision, and manually determining the Entry-Target axis. This project proposes a new robot-assisted frameless stereotactic brain biopsy system to address these limitations. The proposed system uses advanced robotics and software integration to streamline the process, minimize patient discomfort, and improve accuracy. The "Robotic Biopsy" software will be developed locally using Python and will be integrated into open-source platforms for broader accessibility.

Project Title	Development of a 3D Localization System for Detecting Survivors in Search and Rescue Operations
Supporting Institution(s)	TÜBİTAK-1001
Project Team	Prof. Dr. Ömür AYDOĞMUŞ
Project Summary	The primary goal of rescue operations following any disaster is to locate and rescue survivors quickly and safely. This project aims to develop a 3D localization system to detect survivors using deep learning techniques. The system will analyze sound signals from microphone arrays to estimate the precise location of survivors under rubble. The developed solution will include hardware and software components to create a user-friendly system for rescue operations. Real-time software will transmit the 3D location information to rescue teams, aiding in the efficient and accurate rescue of survivors.

Project Title	Development of a 3D Localization System for Detecting Survivors in Search and Rescue Operations
Supporting Institution(s)	TÜBİTAK-1005
Project Team	Doç.Dr.Reşat Çelikel, Prof. Dr. Ömür Aydoğmuş ,Doç. Dr. Güllü BOZTAŞ, Doç. Dr. Ahmet GÜNDOĞDU
Project Summary	The primary goal of rescue operations following any disaster is to locate and rescue survivors quickly and safely. This project aims to develop a 3D localization system to detect survivors using deep learning techniques. The system will analyze sound signals from microphone arrays to estimate the precise location of survivors under rubble. The developed solution will include hardware and software components to create a user-friendly system for rescue operations. Real-time software will transmit the 3D location information to rescue teams, aiding in the efficient and accurate rescue of survivors.