Ilknur TUNCER

Professional researcher with strong foundation in machine learning and commitment to driving impactful results. Proven ability to innovate and develop sophisticated algorithms that solve complex problems. Known for collaborative teamwork and adaptability, leveraging skills in data analysis and model development to meet evolving project needs.

Professional researcher with comprehensive experience in machine learning and data analysis. Skilled in developing and deploying algorithms, optimizing models, and leveraging large datasets to drive insights. Strong focus on team collaboration, adaptability, and delivering impactful results. Proficiencies include Python, TensorFlow, and advanced statistical methods. Recognized for analytical thinking, innovation, and reliability in dynamic environments.

• Association for Computing Machinery

Publication

1. Unal, D. A., Tanko, D., Sercek, I., Tasci, I., Tuncer, I., Tasci, B., ... & Tuncer, T. (2026). DCPat-XFE: an explainable EEG model for psychogenic nonepileptic seizure detection. Cognitive Neurodynamics, 20(1), 20.

2. Tuncer, I., Baig, A. H., Barua, P. D., Hajiyeva, R., Massimo, S., Dogan, S., ... & Acharya, U. R. (2025). FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection. Biomedical Signal Processing and Control, 104, 107538.

3. Aytac, O., Senol, F. F., Tuncer, I., Dogan, S., & Tuncer, T. (2025). An innovative approach to parasite classification in biomedical imaging using neural networks. Engineering Applications of Artificial Intelligence, 143, 110014.

4. Xu, L., Yildiz, A. M., Tuncer, I., Ozyurt, F., Dogan, S., & Tuncer, T. (2025). Detection of community emotions through Sound: An Investigation using the FF-Orbital Chaos-Based feature extraction model. Ain Shams Engineering Journal, 16(2), 103248.

5. Tuncer, T., Tasci, I., Tasci, B., Hajiyeva, R., Tuncer, I., & Dogan, S. (2025). TPat: Transition pattern feature extraction based Parkinson’s disorder detection using FNIRS signals. Applied Acoustics, 228, 110307.

6. Tuncer, I., Dogan, S., & Tuncer, T. (2024). MobileDenseNeXt: Investigations on biomedical image classification. Expert Systems with Applications, 255, 124685.

7. Tuncer, T., Baig, A. H., Aydemir, E., Kivrak, T., Tuncer, I., Tasci, G., & Dogan, S. (2024). Cardioish: Lead-Based feature extraction for ECG signals. Diagnostics, 14(23), 2712.

8. Kirik, S., Tasci, I., Barua, P. D., Yildiz, A. M., Keles, T., Baygin, M., Tuncer, I., ... & Acharya, U. R. (2024). DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals. Knowledge-Based Systems, 300, 112150.

9. Tuncer, T., Barua, P. D., Tuncer, I., Dogan, S., & Acharya, U. R. (2024). A lightweight deep convolutional neural network model for skin cancer image classification. Applied Soft Computing, 162, 111794.

10. Demir, F. B., Baygin, M., Tuncer, I., Barua, P. D., Dogan, S., Tuncer, T., ... & Acharya, U. R. (2024). MNPDenseNet: automated monkeypox detection using multiple nested patch division and pretrained densenet201. Multimedia Tools and Applications, 83(30), 75061-75083.

11. Kilic, M., Barua, P. D., Keles, T., Yildiz, A. M., Tuncer, I., Dogan, S., ... & Acharya, U. R. (2024). GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds. Engineering Applications of Artificial Intelligence, 127, 107184.

12. Erten, M., Barua, P. D., Tuncer, I., Dogan, S., Baygin, M., Tuncer, T., ... & Acharya, U. R. (2023). Swin-LBP: a competitive feature engineering model for urine sediment classification. Neural Computing and Applications, 35(29), 21621-21632.

13. Yildiz, A. M., Tanabe, M., Kobayashi, M., Tuncer, I., Barua, P. D., Dogan, S., ... & Acharya, U. R. (2023). Ff-btp model for novel sound-based community emotion detection. IEEE Access, 11, 108705-108715.

14. Erten, M., Tuncer, I., Barua, P. D., Yildirim, K., Dogan, S., Tuncer, T., ... & Acharya, U. R. (2023). Automated urine cell image classification model using chaotic mixer deep feature extraction. Journal of Digital Imaging, 36(4), 1675-1686.

15. Kirik, S., Dogan, S., Baygin, M., Barua, P. D., Demir, C. F., Keles, T., Yildiz, A.M., Baygin. N., Tuncer I., ... & Acharya, U. R. (2023). FGPat18: Feynman graph pattern-based language detection model using EEG signals. Biomedical Signal Processing and Control, 85, 104927.

16. Baygin, M., Tuncer, I., Dogan, S., Barua, P. D., Tuncer, T., Cheong, K. H., & Acharya, U. R. (2023). Automated facial expression recognition using exemplar hybrid deep feature generation technique. Soft Computing, 27(13), 8721-8737.

17. Dogan, S., Tuncer, I., Baygin, M., & Tuncer, T. (2023). A new hand-modeled learning framework for driving fatigue detection using EEG signals. Neural Computing and Applications, 35(20), 14837-14854.

18. Muezzinoglu, T., Baygin, N., Tuncer, I., Barua, P. D., Baygin, M., Dogan, S., ... & Acharya, U. R. (2023). PatchResNet: multiple patch division–based deep feature fusion framework for brain tumor classification using MRI images. Journal of digital imaging, 36(3), 973-987.

19. Baygin, M., Barua, P. D., Chakraborty, S., Tuncer, I., Dogan, S., Palmer, E., ... & Acharya, U. R. (2023). CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals. Physiological Measurement, 44(3), 035008.

20. Barua, P. D., Yildiz, A. M., Canpolat, N., Keles, T., Dogan, S., Baygin, M., Tuncer, I., ... & Acharya, U. R. (2023). An accurate automated speaker counting architecture based on James Webb Pattern. Engineering Applications of Artificial Intelligence, 119, 105821.

21. Erdem, K., Kobat, M. A., Bilen, M. N., Balik, Y., Alkan, S., Cavlak, F., Poyraz, A.K., Barua, P.B., Tuncer, I., ... & Acharya, U. R. (2023). Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical images. International Journal of Imaging Systems and Technology, 33(4), 1144-1159.

22. Tuncer, I., Barua, P. D., Dogan, S., Baygin, M., Tuncer, T., Tan, R. S., ... & Acharya, U. R. (2023). Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography. Informatics in Medicine Unlocked, 36, 101158.

23. Erten, M., Acharya, M. R., Kamath, A. P., Sampathila, N., Bairy, G. M., Aydemir, E., Barua, P.D., Maygin, M., Tuncer, I., Dogan, S., Tuncer, T. (2022). Hamlet-pattern-based automated COVID-19 and influenza detection model using protein sequences. Diagnostics, 12(12), 3181.

24. Barua, P. D., Tuncer, I., Aydemir, E., Faust, O., Chakraborty, S., Subbhuraam, V., ... & Acharya, U. R. (2022). L-Tetrolet pattern-based sleep stage classification model using balanced EEG datasets. Diagnostics, 12(10), 2510.