• PhD Medicine (Imaging), The University of Manchester, United Kingdom
• MSc Medical Imaging, The University of Manchester, United Kingdom
• Bachelor of Laws (LL.B.), Ramkhamhaeng University, Thailand
• BSc(Hons) Physics, The University of Manchester, United Kingdom

Publications

• Buaruk, S., Somnuake, P., Gulyanon, S., Deepaisarn, S., Laitrakun, S. And Opaprakasit, P. Membrane filter removal in FTIR spectra through dictionary learning for exploring explainable environmental microplastic analysis. Sci Rep 14, 20297 (2024). https://doi.org/10.1038/s41598-024-70407-5
• Gulyanon, S., Deepaisarn, S., Chokphantavee, S., Chokphantavee, S., Prathipasen, P., Laitrakun, S., Opaprakasit, P., Viriyavit, W., Jaikaew, N., Jindakaew, J., Rakpongsiri, P., Meechamnan, T. and Sompongse, D., “Denoising Raman Spectra Using Autoencoder for Improved Analysis of Contamination in HDD”, IEEE Access, vol. 12, pp. 113661-113676, 2024, doi: 10.1109/ACCESS.2024.3441824.
• Outrequin, T. C. R., Gamonpilas, C., Sreearunothai, P., Deepaisarn, S., & Siriwatwechakul, W. (2024). Machine learning assisted evaluation of the filament spreading during extrusion-based 3D food printing: Impact of the rheological and printing parameters. Journal of Food Engineering, 381, 112166. https://doi.org/10.1016/j.jfoodeng.2024.112166
• Buaruk, S., Srisumarnk, C., Seinglek, S., Thaweekul, W., Deepaisarn, S. (2023). Respiratory Disease Classification Using Chest Movement Patterns Measured by Non-contact Sensor. In: Fujita, H., Wang, Y., Xiao, Y., Moonis, A. (eds) Advances and Trends in Artificial Intelligence. Theory and Applications. IEA/AIE 2023. Lecture Notes in Computer Science(), vol 13926. Springer, Cham. https://doi.org/10.1007/978-3-031-36822-6_34
• Deepaisarn, S., Chokphantavee, S., Chokphantavee, S. et al. NLP-based music processing for composer classification. Sci Rep 13, 13228 (2023). https://doi.org/10.1038/s41598-023-40332-0
• 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.  J. Inf. Commun. Converg. Eng. 2023;21:208-215.  https://doi.org/10.56977/jicce.2023.21.3.208
• Deepaisarn S, Yiwsiw P, Tantiwattanapaibul C, Buaruk S, Sornlertlamvanich V.  Data-centric Smart Street Light Monitoring and Visualization Platform for Campus Management.  J. Inf. Commun. Converg. Eng. 2023;21:216-224.  https://doi.org/10.56977/jicce.2023.21.3.216
• S. Buaruk and S. Deepaisarn, "Enhancing Snoring Detection with Statistical Analysis of Audio Features," 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Taipei, Taiwan, 2023, pp. 1622-1627, doi: 10.1109/APSIPAASC58517.2023.10317561.
• P. Witchutanon, S. Deepaisarn, J. Karnjana, T. Theeramunkong and M. Nakayama, "B-on-Track: A Novel Evaluation Metric for Multiple Object Tracking," 2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 2023, pp. 1-6, doi: 10.1109/iSAI-NLP60301.2023.10354981.
• S. N. P. Kumgyi, S. Deepaisarn, T. Supnithi, T. Isshiki and T. Supasri, "Time-series Data Imputation for Improved Prediction of PM10 Pollutant in Northern Thailand," 2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 2023, pp. 1-6, doi: 10.1109/iSAI-NLP60301.2023.10354751.
• N. L. Mya, S. Deepaisarn, W. Chonnaparamutt, S. Laitrakun and M. Nakayama, "Exercise Pose Recognition and Counting System using Robust Topological Landmarks," 2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 2023, pp. 1-6, doi: 10.1109/iSAI-NLP60301.2023.10354974.
• A. S. Thar, S. Laitrakun, S. Deepaisarn, P. Opaprakasit, P. Somnuake and K. Athikulwongse, "A Comparative Study of Machine Learning and Deep Learning Models for Microplastic Classification using FTIR Spectra," 2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 2023, pp. 1-6, doi: 10.1109/iSAI-NLP60301.2023.10354812
• S Deepaisarn, P Yiwsiw, S Chaisawat, T Lerttomolsakul, L Cheewakriengkrai, C Tantiwattanapaibul, S Buaruk, V Sornlertlamvanich. Automated Street Light Adjustment System on Campus with AI-Assisted Data Analytics. Sensors. 2023; 23(4):1853. https://doi.org/10.3390/s23041853
• Deepaisarn S, Imkome Eu, Wongpatikaseree K et al. Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic [version 1; peer review: awaiting peer review]. F1000Research 2022, 11:1411 (https://doi.org/10.12688/f1000research.127431.1)
• S Deepaisarn, A Angkoonsawaengsuk, C Arunkit, C Srisumarnk, K Nimmanwatthana, N Linphrachaya, N Chiewnawintawat, R Tanthanathewin, S Seinglek, S Buaruk and V Sornlertlamvanich, "Camera-Based Log System for Human Physical Distance Tracking in Classroom," 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022, pp. 1977-1983, doi: 10.23919/APSIPAASC55919.2022.9980055.
• S Deepaisarn, P Yiwsiw, C Tantiwattanapaibul, S Buaruk and V Sornlertlamvanich, "Smart Street Light Monitoring and Visualization Platform for Campus Management," 2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 2022, pp. 1-5, doi: 10.1109/iSAI-NLP56921.2022.9960257.
• S Gulyanon, S Deepaisarn, C Srisumarnk, N Chiewnawintawat, A Angkoonsawaengsuk, S Laitrakun, P Opaprakasit, P Rakpongsiri, T Meechamnan and D Sompongse, "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), 2022, pp. 1-6, doi: 10.1109/iSAI-NLP56921.2022.9960277.
• S Deepaisarn, S Buaruk, S Chokphantavee, S Chokphantavee, P Prathipasen and V Sornlertlamvanich, "Visual-based Musical Data Representation for Composer Classification," 2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 2022, pp. 1-5, doi: 10.1109/iSAI-NLP56921.2022.9960254.
• V Sornlertlamvanich, P Iamtrakul, T Horanont, N Hnoohom, K Wongpatikaseree, S Yuenyong, J Angkapanichkit, S Piyapasuntra, P Lopkerd, S Prasertsuk, C Busayarat, I Raungratanaamporn, S Deepaisarn, and T Charoenporn, Data Analytics and Aggregation Platform for Comprehensive City-Scale AI Modeling, Proceedings of the 32nd International Conference on Information Modelling and Knowledge Bases (EJC2022), Hamburg, Germany, May 30 - June 3, 2022, pp. 97-112.
• S Deepaisarn, C Vong and M Perera, Exploring Machine Learning Pipelines for Raman Spectral Classification of COVID-19 Samples, 14th International Conference on Knowledge and Smart Technology, 2022, pp. 51–56
• P Saengthong, C Charnsripinyo, S Laitrakun, Y Hara-Azumi, S Deepaisarn, ‘Thermal-comfort Control using Occupancy Detection and Fuzzy Logic for Air-conditioning Systems’, 7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022, 2022, pp. 194–199
• N Smunyahirun, J Karnjana, S Laitrakun, T Nishio, S Deepaisarn, ‘Multi-Sensor Data Fusion for Detection of Sensor Drifts in a Landslide Monitoring System’, 7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022, 2022, pp. 1–6
• P Boonna, C Chaiwan, S Deepaisarn, N Simanon, O Reamtong and C Butkinaree, ‘Implementing Machine Learning Methods for Ballpoint Pen Ink Classification based on Mass Spectrometry Data: Toward a Forensic Application’, 2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2021, pp. 1-6, doi: 10.1109/JCSSE53117.2021.9493823.
• M S Hussain, S Deepaisarn and P Aimmanee, ‘ILM and Fovea Detection using Standard Deviation Profiling Method’, 2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2021, pp. 1-6, doi: 10.1109/JCSSE53117.2021.9493813.
• W Suksuganjana, S Laitrakun, K Athikulwongse, Y Hara-Azumi, and S Deepaisarn, ‘Improved step detection with smartphone handheld mode recognition’, in Proc. KST, 2021.
• Goragod Pongthanisorn, Waranrach Viriyavit, Somrudee Deepaisarn, Virach Sornlertlamvanich, ‘ECS: The Elderly Care System for Falling and Bedsore Prevention using Non-constraint Sensors’. in Proc. International Electronics Symposium (IES). 2020
• P D Tar, N A Thacker, S Deepaisarn, J P B O’Connor, A W McMahon, ‘A reformulation of pLSA for uncertainty estimation and hypothesis testing in bio-imaging’, Bioinformatics, Volume 36, Issue 13, July 2020, Pages 4080–4087, https://doi.org/10.1093/bioinformatics/btaa270
• S Deepaisarn, P D Tar, N A Thacker, A Seepujak, A W McMahon, ‘Quantifying biological samples using Linear Poisson Independent Component Analysis for MALDI-ToF mass spectra’, Bioinformatics, Volume 34, Issue 6, 15 March 2018, Pages 1001–1008, https://doi.org/10.1093/bioinformatics/btx630