Dr. Sarun Gulyanon is an Assistant Professor at CMKL University, joining in 2025. He earned his Ph.D. in Computer Science from Purdue University, specializing in neuron morphology analysis using various microscopy imaging modalities. His research interests include Computer Vision, Machine Learning, Biomedical Imaging, and Data Science. His recent work focuses on AI-driven multimodal medical imaging and computational spectroscopy for environmental microplastic analysis.

• Ph.D., Computer Science, Purdue University, USA
• M.S., Computer and Information Science, Purdue University, USA
• B.Sc., Computer Science, University of Edinburgh, United Kingdom

• Machine Learning
• Computer Vision
• Biomedical Imaging
• Natural Language Processing
• Signal Processing
• Algorithms and Data Structures

1. L. He, S. Gulyanon et al., "Direction selectivity in Drosophila proprioceptors requires the mechanosensory channel Tmc," Current Biology, vol. 29, no. 6, pp. 945–956.e3, 2019.
2. N. Chotisarn, S. Gulyanon et al., "VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese Neural Network concept to non-technical users," Visual Informatics, vol. 7, no. 1, pp. 18–29, 2023.
3. A. S. Thar, S. Gulyanon et al., "Enhancing microplastic classification through filter-interfered FTIR spectra using dimensionality reduction and deep learning," Marine Pollution Bulletin, vol. 221, 2025.
4. S. Gulyanon et al., "Denoising Raman Spectra Using Autoencoder for Improved Analysis of Contamination in HDD," IEEE Access, 2024.
5. S. Gulyanon et al., "Neuron tracking in calcium image stacks using accordion articulations," in Proc. ISBI, 2019.