Within the scope of Tubitak 1003 program, BAU Faculty of Engineering and Natural Sciences Faculty Member Assist. Prof. Berke Gür, Assoc. Prof. Gülay Bulut and Dr. Yongki Yoon's projects have been awarded with a total budget of 2 million TL.
NEW GENERATION UNDERWATER ROBOTS ARE ON THE WAY
The project entitled "Development and Design of Unmanned Robotic Cuttlefish for Underwater Manipulation", supervised and directed by Assist. Prof. Berke Gür, was supported by TUBITAK. The project aims to develop a new generation of underwater robots that will make underwater intervention possible at a level that is not provided by existing unmanned underwater vehicles. These robots to be made with biomimetic design, innovative materials, and advanced control methods, will be equipped with underwater communication technologies. The project team consists of Assist. Prof. Berke Gür, Prof. Lutfi Arda, and Dr. Yongki Yoon.
AUTONOMOUS CARRIER VEHICLES FOR THE FACTORIES OF THE FUTURE
Another project, titled "Developing autonomous vehicles and the necessary human-machine and machine-machine interfaces for smart factories", which is run by Dr. Yongki Yoon, aims to build autonomous vehicles to be used on the factories of the future shaped by 4.0 approaches, and development of human-machine, machine-machine interfaces and communication platforms for their integration into the entire in-plant system. he project team consists of Dr. Yongki Yoon, Assist. Prof. Berke Gür, and Prof. Nafiz Arıca.
CANCER TREATMENT WILL BE PATIENT-SPECIFIC
The project titled "Development of Drug Derivatives to Target Oncogenic K-ras Protein by Phage Display Method" will be conducted by Assoc. Prof. Gülay Bulut from the Department of Molecular Biology and Genetics. This project is based on development of drug derivatives against Kras protein, which is one of the most frequently mutated proteins in cancer disease. These drug derivatives are also expected to be effective in other types of cancer where Kras protein is mutant. In the long run, the scientific data obtained from this study aims to support personalized treatment of cancer patients.
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