SCI, SCIE

  1. Saraçoğlu Ö. G., Hayber Ş. E., “Bent Fiber Sensor for Preservative Detection in Milk,” Sensors, vol. 16, no. 12, pp. 2094-2105, 2016.

  2. Tabaru T. E., Hayber Ş. E., Saraçoğlu Ö. G., “Frequency Domain Analysis of Laser and Acoustic Pressure Parameters in Photoacoustic Wave Equation for Acoustic Pressure Sensor Designs,” Current Optics and Photonics, vol. 2, no. 3, pp. 250-260, 2018.

  3. Hayber Ş. E., Tabaru T. E., Keser S., Saraçoğlu Ö. G., “A Simple, High Sensitive Fiber Optic Microphone Based on Cellulose Triacetate Diaphragm,” IEEE/OSA Journal of Lightwave Technology, vol. 36, no. 23, pp. 5650-5655, 2018.

  4. Hayber Ş. E., Tabaru T. E., Saraçoğlu Ö. G., “A Novel Approach Based on Simulation of Tunable MEMS Diaphragm for Extrinsic Fabry–Perot Sensors,” Optics Communications, vol. 430, no. 1, pp. 14-23, 2019.

  5. Tabaru T. E., Hayber Ş. E., Keser S., Saraçoğlu Ö. G., “Spectral Analysis for Photoacoustic Pressure Sensor Designs: Theoretical Model Improvement and Experimental Validation,” Sensors & Actuators: A. Physical, vol. 287, no. 1, pp. 76-83, 2019.

  6. Hayber Ş. E., Tabaru T. E., Aydemir U., Saraçoğlu Ö. G., “Use of 2D In2Se3 Single Crystal as a Diaphragm Material for Fabry-Perot Fiber Optic Acoustic Sensors,” Journal of Nanoelectronics and Optoelectronics, vol. 14, no. 4, pp. 464-469, 2019.

  7. Hayber Ş. E., Aydemir U., Tabaru T. E., Saraçoğlu Ö. G., “The Experimental Validation of Designed Fiber Optic Pressure Sensors with EPDM Diaphragm,” IEEE Sensors Journal, vol. 19, no. 14, pp. 5680-5685, 2019.

  8. Hayber Ş. E., Keser S., “3D sound source localization with fiber optic sensor array based on genetic algorithm,” Optical Fiber Technology, vol. 57, no. 1, pp. 102229, 2020.

  9. Hayber Ş. E., Aydemir U., “Design and simulation of a novel fungus-shaped center embossed diaphragm for fiber optic pressure sensors,” Optical Fiber Technology, vol. 61, no. 1, pp. 102429, 2021.

  10. Tabaru T. E., Hayber Ş. E., “Analyzing the effect of dynamic properties of materials and operating medium on sensor parameters to increase the performance of diaphragm-based static/dynamic pressure sensors,” Journal of Computational Electronics​, vol. 20, no. 1, pp. 1-15, 2021.

  11. Keser S., Hayber Ş. E., “Fiber optic tactile sensor for surface roughness recognition by machine learning algorithms,” Sensors & Actuators: A. Physical, vol. 332, no. 1, pp. 113071, 2021.

  12. Hayber Ş. E., Tabaru T. E., Güçyetmez M., “Evanescent Field Absorption-Based Fiber Optic Sensor for Detecting Power Transformer Oil Degradation,” Fiber and Integrated Optics, 2021, vol. 40, no. 4–6, pp. 229–248, 2021.

  13. Hayber Ş. E., “Analytical analysis and experimental validation of optical power estimation in V-grooved polymer optical fibers,” Optik, vol. 254, 168637, March 2022.

  14. Güçyetmez M., Keser S., Hayber Ş. E., “Wind speed measurement with a low-cost polymer optical fiber anemometer based on Fresnel reflection,” Sensors & Actuators: A. Physical, vol. 339, no. 1, pp. 113509, 2022.

  15. Yiğit E., Hayber Ş. E., Aydemir U., “ANN-based estimation of MEMS diaphragm response: An application for three leaf clover diaphragm based Fabry-Perot interferometer,” Measurement, vol. 199, no. 1, pp. 111534, 2022.