About Me
I am an Associate Professor of Computational Science and Engineering at the Informatics Institute, specializing in multidimensional problems and computational science. I completed my PhD at the same institute and worked as a postdoctoral researcher at the Hyperspectral Imaging Centre, Glasgow, UK. My work combines tensor decomposition techniques with machine learning to address real engineering challenges, supported by strong teaching experience and expertise in scientific programming.
Research Interests
- Tensor Decomposition
- Scientific Computing
- Hyperspectral Imaging
- Gene Network Analysis
- Machine Learning
Selected Publications
[1] Şen, M. E., Tuna, S. (2025). A new feature extraction scheme based on support optimization in Enhanced Multivariance Products Representation for Hyperspectral Imagery Journal of the Franklin Institute , DOI: 10.1016/j.jfranklin.2024.107464[2] Tuna, S., Gulec, C., Yucesan, E., Cirakoglu, A., Tarkan Arguden, Y. (2023). Gene Teams are on the Field: Evaluation of Variants in Gene-Networks Using High Dimensional Modelling IEEE/ACM Transactions on Computational Biology and Bioinformatics , DOI:10.1109/TCBB.2023.3292245
[3] Tuna, S., Korkmaz Özay, E., Tunga, B., Gürvit, E., Tunga, M. A. (2022). An Efficient Feature Extraction Approach for Hyperspectral Images Using Wavelet High Dimensional Model Representation International Journal of Remote Sensing , 43(19-24), DOI:10.1080/01431161.2022.2147036
[4] Tuna, S., Töreyin, B. U., Demiralp, M., Ren, J., Zhao, H., & Marshall, S. (2020). Iterative enhanced multivariance products representation for effective compression of hyperspectral images IEEE Transactions on Geoscience and Remote Sensing, 59(11), DOI:10.1109/TGRS.2020.3031016
[5] Tuna, S., & Demiralp, M. (2017). Zero interval limit perturbation expansion for the spectral entities of Hilbert-Schmidt operators combined with most dominant spectral component extraction: convergence and confirmative implementations. Journal of Mathematical Chemistry, 55(6), DOI:10.1007/s10910-017-0740-1
[6] Demiralp, M., & Tuna, S. (2017). Zero interval limit perturbation expansion for the spectral entities of Hilbert–Schmidt operators combined with most dominant spectral component extraction: formulation and certain technicalities. Journal of Mathematical Chemistry, 55(6), DOI:10.1007/s10910-017-0739-7
Ongoing Projects
- A Grid-Based Representation and Generative Artificial Intelligence Framework for the Mechanical Design of Shell Structures (TÜBİTAK 1001)
- Development of an Electronic Nose System for the Detection of Residual Anesthetic Gases in Post-Anesthesia Care Units (TÜBİTAK 1002)
- Development of an Image Processing–Based Automated Monitoring and Decision Support Platform for Blueberry Cultivation (TÜBİTAK 1707)
- Research and Development of Next-Generation Solid-State Detectors within the Framework of the CERN DRD3 Collaboration (TENMAK)
Teaching
- HBM511 Scientific Computing I
- HBM512 Scientific Computing II
- HBM538E Mathematical Methods in Data Analysis and Machine Learning
Contact
Email: suhatuna@itu.edu.tr
Office: Informatics Institute, Room: 206, Istanbul Technical University Ayazağa Campus