In the research group the main technical motivation which we are fundamentally aiming to establish is to provide the required technical and technological infrastructure where the undergraduate students from versatile educational fields are working collaboratively in different project subjects. We are totally open to the interested undergraduate students.
Emir E
vcil (emirevcil@gmail.com) : Biometric Sensors Supported Machine Learning Assisted Patient Tracking System for E-Health Applications
The project work is basically focusing on the development of a smart patient tracking system based on biometric sensor networks to be connected directly on the patient where the biological data are transmitted to the web database through wireless communication modules for the closer medical investigation.
Rabia Avvuran (rabia.avvuran.smarttech@gmail.com): ML Assisted UHF RFID Tag Design for Stock Tracking in Smart Factories
The project is basically aiming to design UHF RFID tag to be modelled through ML algorithms with the target application of placing the RFID tags to be developed on the products in smart factories for the automated control of products in warehouses with faster inspection and less error rate in additin to less number of staff to be employed for the product tracking.
Merve Sayar (merve.sayar.smarttech@gmail.com): Development of ML Assisted Sensor Network Management and Information System for Smart Factories
The main aim of project work is to reduce the cost and provide high efficiency by IoT for an intelligent system developed with machine learning-supported sensor networks to be written with object-oriented programming languages such as C# and Python, which provides great comfort for the company.
Gökçe İye (gokceiye@icloud.com): Development of a Machine Learning Aid Sensor Network System For Digital Transformation Laboratory
The main goal of the project is to develop a machine learning supported sensor network system in the digital transformation laboratory using object-oriented programming languages such as Python and C #, and to provide low budget and high efficiency by using IoT and long-range LoraWAN in the system.
Ali Töz (ali.toz.smarttech@gmail.com): Development of Smart Factory Management and Information System with Machine Learning Supported Sensor Network
The main purpose of the project is to easily control the management informatics system developed with sensor networks supported by machine learning through the interface to be written with object-based programming languages such as Python and C#, and to ensure high efficiency of the system to be developed.