Tamer Ölmez






Professor, Ph.D.

Istanbul Technical University,

Department of Electronics & Communication Engineering

Telephone: +90 212 2853643

Office: ITU EEF-7105

Email : olmezt@itu.edu.tr




Announcement: Graduate students (PhD and MSc) are required to work in a TÜBİTAK TEYDEB project on acquisition and transfer of camera images using Embedded Systems.




Courses (Dersler)



1)    Using C and Python Languages to Run the Convolution Neural Network (Trained by Deep Learning) on Embedded Linux Systems (the OrangePi, the NanoPi, the RaspberryPi, etc.)

2)    Active EEG Sensor Designed (coming soon)

3)    Design of Capsule Endoscopy system with three cameras (coming soon)

4)    Design of the intramascular electrodes for the stimulation of  muscles (coming soon)

5)   Non-Contact Capacitive Heart Beat Sensors and Heart Beat Signal Acquisition Systems

6)   Using Internet of Things (IoT) In Smart Sensor Applications:

a) WiFi-ECG Smart Sensor (ESP8266) 

b) Bluetooth-ECG Smart Sensor (BlueGiGa)

c) Wifi-Breath Smart Apnea Sensor

d) Bluetooth-Breath Smart Apnea Sensor

7)   ECG system using the USB interface for Samsung Galaxy Note 2 (Android phone)

8)   Mindwave Head Interface for Linux Machine (Ubuntu or Raspberry Pi) or MATLAB of MS Windows

9)   Remote Desktop for NanoPi Neo Air (Linux PC) without Having Display Output

10) ECG system using the USB interface for PC without battery  

11) Wireless ECG system (via Bluetooth) designed and implemented by Tamer Ölmez for PC and the mobile phone Nokia 6600

12) Brain Computer Interface (BCI) Keyboard by designed and implemented by Tamer Ölmez




Research Interests

Biomedical, Bioinformatics, Medical Informatics, Biological signal processing, Image processing, Neural networks, Genetic algorithms, Pattern  recognition, Machine learning, Embedded System Design by Linux OS/ FPGA/ DSP/Microcontrollers, Design of data acquisition systems, Android and Internet applications by using QT developer, Computer vision and Virtual reality, At the real-time, developing  application on embedded Linux systems (the RaspberryPi, the Orange Pi, the NanoPi, etc.) using C, Python, PyQT, Opencv, Tensorflow.





Medical Informatics and Systems Research Grup (ITU)

ITU Electronics & Communication Engineering Dept.

Istanbul Technical University (ITU)




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