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DR. SOMRUDEE DEEPAISARN (LECTURER)
Faculty
:
School of Information, Computer, and Communication Technology (ICT)
Name
:
Dr. Somrudee Deepaisarn (Lecturer)
Position
:
Chairperson of Artificial Intelligence and Internet of Things Curriculum
E - Mail
:
somrudeesiit.tu.ac.th
Phone Rangsit
:
Phone Bangkadi
:
+66-2-501-3505~20
Phone Extension
:
5007
  Education
  • 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
  List of Publications

Publications

  • 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