Sarun Gulyanon

Sarun Gulyanon

ศรัณย์ กุลยานนท์

Assistant Professor

CMKL University

Biography

I am an Assistant Professor at CMKL University, teaching courses in Symbolic AI and Image and Video Processing. My research interests lie in medical image processing and computer vision, with a focus on developing innovative solutions that bridge the gap between academia and real-world applications.

I earned my Ph.D. in Computer Science in May 2018 from IUPUI where I was privileged to be advised by Gavriil Tsechpenakis. My PhD thesis is about the neuron morphology analysis including reconstruction, centerline extraction, segmentation, and multi-modal comparison.

Before I went to IUPUI, I finished my undergrad at the University of Edinburgh. My 4th year project was about the analysis of salt intake effect on cardiovascular system using Hidden Markov Model. It was my priviledged to be advised by Guido Sanguinetti.

Interests

  • Computer Vision
  • Machine Learning
  • Biomedical Imaging
  • Data Science

Education

  • Doctor of Philosophy in Computer Science, May 2018

    Purdue University

    PhD Dissertation: "Model and Appearance Based Analysis of Neuronal Morphology from Different Microscopy Imaging Modalities"

  • Master of Science in Computer and Information Science, May 2016

    Purdue University

    Cumulative GPA: 3.87 / 4.00

  • Bachelor of Science in Computer Science, Jul 2013

    University of Edinburgh

    Honours: First

    4th Year Project: Machine Learning Tools for Cardio Vascular Data Analysis

Experience

  1. CMKL University

    • Assistant Director of Academic Affairs

    • Assistant Professor

    Teaching

    • AIC-301 Symbolic AI
    • AIC-402 Proximity Measurement and Cluster Analysis
    • AIC-403 Classification and Regression
    • MAT-202 Signal Processing and Data Domains
    • 18-793 Image and Video Processing
    • 41-685 Computer Vision

  2. Thammasat University

    • Assistant Dean for Student Affairs

      College of Interdisciplinary Studies (Rangsit Campus)

    • Director of Bachelor of Science Program in Data Science and Innovation

      College of Interdisciplinary Studies

    • Assistant Professor

    Teaching

    • CI200 Data Science for Everyday Life
    • GTS124 Artificial Intelligence and Applications
    • CIS104 Data Analytics Programming
    • DSI205 Basics of Linear Algebra for Data Analytics
    • DSI206 Multimedia Representation Management
    • DSI311 Data Science Algorithm
    • DSI323 Data Governance Platform
    • CDT263 Computer Organization and Architecture
    • TU107 Digital Skills and Problem Solving
    • TU155 Elementary Statistics
    • CS653 Big Data Storage and Analytics
    • CS652 Applied Machine Learning
    • CSS321 Theory of Computation

  3. NECTEC

    Summer Internship

    The I2R Project aims to parse Thai sentences following the I2R pattern by chunking Thai sentences using the SVM. This involved conducting further research, and giving a presentation on the experiment to other researchers.

Publications

  1. Rajborirug, P., Tungjitkusolmun, S., & Gulyanon, S., "sCTFlow: 3D MRI-to-sCT with Conditional Rectified Flow," 2026 23rd International Joint Conference on Computer Science and Software Engineering (JCSSE), pp. 121-126, 2026. doi: 10.1109/JCSSE68839.2026.11596689.
  2. Thar, A. S., Laitrakun, S., Somnuake, P., Deepaisarn, S., Opaprakasit, P., Athikulwongse, K., Yamaguchi, M., & Gulyanon, S., "Enhancing microplastic classification through filter-interfered FTIR spectra using dimensionality reduction and deep learning in low-dimensional spaces," Marine Pollution Bulletin, 221:118548, 2025. doi: 10.1016/j.marpolbul.2025.118548.
  3. Buaruk, S., Somnuake, P., Gulyanon, S., et al., "Membrane filter removal in FTIR spectra through dictionary learning for exploring explainable environmental microplastic analysis," Scientific Reports, 14, 2024. doi: 10.1038/s41598-024-70407-5.
  4. Gulyanon, S., et al., "Denoising Raman Spectra Using Autoencoder for Improved Analysis of Contamination in HDD," IEEE Access, 2024. doi: 10.1109/ACCESS.2024.3441824.
  5. Pengpinij, P., Ridamrong, W., Kaewka, S., & Gulyanon, S., "TEXT2EMOTIONS: A Web Application for Emotion Visualization in Children’s Tales," 2024 IEEE International Conference on Cybernetics and Innovations (ICCI), pp. 1-6, 2024. doi: 10.1109/ICCI60780.2024.10532445.
  6. Chungnoi, K., Kongkachandra, R., & Gulyanon, S., "The Computational Method for Supporting Thai VerbNet Construction," ACM Transactions on Asian and Low-Resource Language Information Processing, 23(2):1-15, 2023. doi: 10.1145/3638533.
  7. Laitrakun, S., Deepaisarn, S., Gulyanon, S., Srisumarnk, C., Chiewnawintawat, N., Angkoonsawaengsuk, A., Opaprakasit, P., Jindakaew, J., & Jaikaew, N., "Toward Practical Augmentation of Raman Spectra for Deep Learning Classification of Contamination in HDD," Journal of Information and Communication Convergence Engineering, 21(3):208-215, 2023. doi: 10.56977/jicce.2023.21.3.208.
  8. Chotisarn, N., Gulyanon, S., Zhang, T., & Chen, W., "VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese Neural Network concept to non-technical users," Visual Informatics, 7(1):18-29, 2023. doi: 10.1016/j.visinf.2023.01.004.
  9. Gulyanon, S., et al., "A Comparative Study of Noise Augmentation and Deep Learning Methods on Raman Spectral Classification of Contamination in Hard Disk Drive," 2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), pp. 1-6, 2022. doi: 10.1109/iSAI-NLP56921.2022.9960277.
  10. Chotisarn, N., Siriphongwatana, P., Thanisuwiphat, P., Gulyanon, S., & Nadee, W., "Finding Customer Behavior Insights for Content Creation in Material and Product Sourcing Using Specialized Topic Analysis," 2022 22nd International Conference on Electronic Business (ICEB), 2022.
  11. Gulyanon, S., Limprasert, W., Songmuang, P., & Kongkachandra, R., "Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning," arXiv preprint, 2022. arXiv:2205.14418.
  12. Chotisarn, N., Pimanmassuriya, W., & Gulyanon, S., "Deep Learning Visualization for Underspecification Analysis in Product Design Matching Model Development," IEEE Access, 9:108049-108061, 2021. doi: 10.1109/ACCESS.2021.3102174.
  13. Gulyanon, S., He, L., Tracey, W.D., Jr., & Tsechpenakis, G., "Neuron tracking in calcium image stacks using accordion articulations," IEEE International Symposium on Biomedical Imaging (ISBI), 2019. doi: 10.1109/ISBI.2019.8759386.
  14. He, L., Gulyanon, S., Skanata, M.M., Karagyozov, D., Heckscher, E.S., Krieg, M., Tsechpenakis, G., Gershow, M., & Tracey, W.D., Jr., "Direction selectivity in Drosophila proprioceptors requires the mechanosensory channel TMC," Current Biology, 29(6):945-956.e3, 2019. doi: 10.1016/j.cub.2019.02.025.
  15. He, L., Gulyanon, S., Skanata, M.M., Karagyozov, D., Heckscher, E.S., Krieg, M., Tsechpenakis, G., Gershow, M., & Tracey, W.D., Jr., "Proprioceptive neurons of larval Drosophila melanogaster show direction selective activity requiring the mechanosensory channel TMC," bioRxiv, 463216, 2018. doi: 10.1101/463216.
  16. Gulyanon, S., Sharifai, N., Kim, M.D., Chiba, A., & Tsechpenakis, G., "Part-wise neuron segmentation using artificial templates," IEEE International Symposium on Biomedical Imaging (ISBI), 2018. doi: 10.1109/ISBI.2018.8363656.
  17. Gulyanon, S., He, L., Tracey, W.D., Jr., & Tsechpenakis, G., "Neurite tracking in time-lapse calcium images using MRF-modeled pictorial structures," IEEE International Symposium on Biomedical Imaging (ISBI), 2018. doi: 10.1109/ISBI.2018.8363872.
  18. Gulyanon, S., Sharifai, N., Kim, M.D., Chiba, A., & Tsechpenakis, G., "Neurite reconstruction from time-lapse sequences using co-segmentation," IEEE International Symposium on Biomedical Imaging (ISBI), 2017. doi: 10.1109/ISBI.2017.7950549.
  19. Gulyanon, S., Sharifai, N., Kim, M.D., Chiba, A., & Tsechpenakis, G., "CRF formulation of active contour population for efficient three-dimensional neurite tracing," IEEE International Symposium on Biomedical Imaging (ISBI), 2016. doi: 10.1109/ISBI.2016.7493338.
  20. Farhand, S., Gulyanon, S., Sharifai, N., Kim, M.D., Chiba, A., & Tsechpenakis, G., "Temporal neurite registration using hierarchical alignments," IEEE International Symposium on Biomedical Imaging (ISBI), 2016. doi: 10.1109/ISBI.2016.7493277.
  21. Gulyanon, S., Sharifai, N., Bleykhman, S., Kelly, E., Kim, M.D., Chiba, A., & Tsechpenakis, G., "Three-dimensional neurite tracing under globally varying contrast," IEEE International Symposium on Biomedical Imaging (ISBI), 2015. doi: 10.1109/ISBI.2015.7164010.
  22. Chang, X., Kim, M.D., Stephens, R., Qu, T., Gulyanon, S., Chiba, A., & Tsechpenakis, G., "Neuron recognition with hidden Neural Network Random Fields," IEEE International Symposium on Biomedical Imaging (ISBI), 2014. doi: 10.1109/ISBI.2014.6867860.

Achievements

Projects

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