Academic Staff

  Lecturer Murat Kaya
Profile
:
Department
:
/Department of Information Technologies .
Business Address
:
.
Phone
:
+90 -324-241 0000 .
Internal
:
34047 .
Created
:
2022-08-03 13:03:01 .
Last Modification
:
2022-08-15 13:40:21 .
Researcher ID :
Scopus ID :
Orcid ID :
Scholar ID :
h-index :
4
Publons ID :
Point :

Degree Department/Program Institute Year
UNDERGRADUATE STUDY COMPUTER ENGINEERING TOROS UNIVERSITY 2017
POSTGRADUATE COMPUTER ENGINEERING MERSIN UNIVERSITY 2019
POSTGRADUATE COMPUTER ENGINEERING MERSIN UNIVERSITY 2024
Master Thesis

1. Determination of mental attention state with EEG based bci usingmachine learning methods, Supervisor: Dr. Çiğdem ACI, Mersin University, Graduate School of Natural and Applied Sciences, Computer Engineering Department, Mersin, Turkey, 2019.

Theses_001.pdf

International - SCI/SCI-Expanded category 4500
2019
6. KAYA, M.; ACI, Ç.; MISHCHENKO, Y. . ELSEVIER BV, 2019, 134, -. 1000 + 0
10.1016/j.eswa.2019.05.057

5. Acı, Ç.; Kaya, M. Distinguishing mental attention states of humans via an EEG-based passive BCI using machine learning methods. EXPERT SYSTEMS WITH APPLICATIONS, 2019, 134, 153-166. 500 + 0
https://www.sciencedirect.com/science/article/pii/S0957417419303926

4. KAYA, M.; MISHCHENKO, Y. . INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE), 2019, 66, -. 1000 + 0
10.1109/TBME.2018.2865941

2018
3. KAYA, M.; MISHCHENKO, Y. . SPRINGER SCIENCE AND BUSINESS MEDIA LLC, 2018, 5, -. 1000 + 0
10.1038/sdata.2018.211

2. KAYA, M. A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces. SCIENTIFIC DATA, 2018, 5, 1-16. 500 + 0
1. mishchenko, y.; Kaya, M. Developing a three-to six-state EEG-based brain–computer interface for a virtual robotic manipulator control. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2018, 66, 977-987. 500 + 0
https://ieeexplore.ieee.org/abstract/document/8438959

International - publications.sections.42 50
2015
1. mishchenko, y.; Kaya, M. Detecting the attention state of an operator in continuous attention task using EEG-based brain-computer interface. 23ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, 2015, 5, 232-235. 50 + 0
https://ieeexplore.ieee.org/abstract/document/7129802

National - Covered by ULAKBIM 300
2023
3. KAYA, M.; MISHCHENKO, Y. . TUBAV BILIM DERGISI, 2023, , -. 200 + 0
2018
2. mishchenko, y. Development of more efficient noninvasive brain machine interfaces. EEEAG, 2018, 3, 130-136. 0 + 0
2017
1. KAYA, M. Detection of right and left hand movement thoughts from eeg data using svm machine learning method for brain computer interface. TURK BILIM ARASTIRMA VAKFI , 2017, 3, 1-20. 100 + 0
https://dergipark.org.tr/en/download/article-file/340760

National - Manager 100

1. Proposal of New Generation Wide Network Topology for Universities, BAP, Project Number: 2024-AP5-5007, 8000000 TL, Manager, Continue... 100

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