Department of Electrical and Computer Engineering

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0-2555-2000 to 8519,8520

ece@eng.kmutnb.ac.th

Google Maps

0-2555-2000 to 8519,8520

ece@eng.kmutnb.ac.th

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CURRICULUM VITAE

CONTACT

  • vera.s@eng.kmutnb.ac.th
  • (+66) 2555-2000 ext 8509

INTERESTING RESEARCH

  • Image, Video, and Signal Analysis
  • Medical Imaging and Analysis
  • Data Analysis
  • AI, DL, and ML Research
  • Medical Imaging Technology
  • Software Engineering and Programming
  • Robotic Technology and Development

Assistant Professor

Dr.Vera Sa-ing

CURRENT WORK

Full-time Instructor, Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand was teaching mainly in the following subjects.

  • Image Processing and Machine Vision (2024 to present)
  • Machine learning (2024 to present)
  • Statistics for Computer Engineers (2024 to present)
  • Algorithms and Data Structures (2024 to present)
  • Software Development Practice I (2024 to present)
  • Software Development Practice II (2024 to present)

WORK EXPERIENCE

Full-time Instructor, Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand.

Full-time Instructor, Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand.

Assistance Researcher, CTI Lab, IMG Lab, RDE6 Lab, National Electronics and Computer Technology Center, Pathum Thani, Thailand.

EDUCATION

in Electrical Engineering – Aug 2017

  • Institution : Department of Electrical Engineering,Faculty of Engineering,
    Chulalongkorn University, Bangkok, Thailand.

in Biomedical Engineering – May 2011

  • Institution : Department of Biomedical Engineering,Faculty of Engineering,
    Mahidol University, Bangkok, Thailand

in Computer Engineering – Dec 2005

  • Institution : Department of Computer Engineering,Faculty of Engineering,
    Suranaree University of Technology, Nakhon Ratchasima, Thailand.

AWARDS AND FUNDED RESEARCH

  • Second Round - NSC 2025: “AI Self-Assessment Tools for Preliminary Dementia Screening,” The 27th National Software Contest (NSC 2025) (2025).
  • Popular Vote - KMUTNB Innovation Awards 2025: “Automatic Crosswalk Detection and Counting Using YOLO AND SAHI Techniques,” KMUTNB Innovation Awards 2025 of King Mongkut’s University of Technology North Bangkok (2025).
  • Consolation Award - KMUTNB Innovation Awards 2025 “Automatic Crosswalk Detection and Counting Using YOLO AND SAHI Techniques,” KMUTNB Innovation Awards 2025 of King Mongkut’s University of Technology North Bangkok (2025).
  • Best Paper Award - iEECON 2025: “Ripeness Classification of Fresh Oil Palm Using Deep Learning,” 2025 13th International Electrical Engineering Congress (iEECON) (2025).
  • Silver Medal of Health and Medical on I - New Gen Award 2025 THAILAND: “Weighing Cup Lump Rubber using Three-Dimensional Scale,” Thailand New Gen Inventors Award 2024 of National Research Council of Thailand (2025).
  • Silver Medal of Health and Medical on I - New Gen Award 2025 THAILAND: “Motorcycle Taxi Management in Thailand by Web Application: KhaoWin,” Thailand New Gen Inventors Award 2024 of National Research Council of Thailand (2025).
  • Global Innovative Technology Award (First Prize) – Start-up KOREA: The 10th International Student Start-up Conference, Tongmyong University, Busan (2024).
  • Start-Up Vision Award (Fifth Prize) - Start-up KOREA: The 10th International Student Start-up Conference, Tongmyong University, Busan (2024).
  • Innovative Business Model Award (Consolation Prize) KOREA: The 10th International Student Start-up Conference, Tongmyong University, Busan (2024).
  • Best Conference Paper Award - IEEE ICEIB 2024 TAIWAN: “Feline Feelings Unleashed: Harnessing Deep Learning Through Photos For Cat Pain Detection,” 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (IEEE ICEIB 2024) (2024).
  • Manassakorn A., Auethavekiat S., Sa-Ing V., Chansangpetch S., Ratanawongphaibul , Uramphorn N., Tantisevi V., “GenVFNet: Generating Visual Field From Optical Coherence Tomography Angiography by Conditional Generative Adversarial Networks,” in IEEE Access, vol. 12, pp. 145845-145856, 2024.
  • Manassakorn A., Auethavekiat S., Sa-Ing V., Chansangpetch S., Ratanawongphaibul, Uramphorn N., Tantisevi V., “GlauNet: Glaucoma Diagnosis for OCTA Imaging using a New CNN Architecture,” in IEEE Access, vol. 10, pp. 95613–95622, 2022.
  • Laohakiat S., Sa-Ing V., “An Incremental Density-Based Clustering Framework using Fuzzy Local Clustering,” Information Sciences, Vol. 547, 404–426, 2021.
  • Sa-Ing V., Vorasayan P., Suwanwela N., Auethavekiat S., Chinrungrueng C., “Multiscale Adaptive Regularization Savitzky-Golay Method for Speckle Noise Reduction in Ultrasound Images,” IET Image Processing, Vol. 12, Issue 1, pp. 105–112, 2018.
  • Sa-Ing V., Vorasayan P., Suwanwela N., Auethavekiat S., Chinrungrueng C., “Realtime 3D Ultrasound Denoising based on Adaptive Regularization Savitzky-Golay Filter,” Electronics Letters, Vol. 53, Issue 15, pp. 1029–1031, 2017.
  • Sa-Ing V., Thongvigitmanee S. S., Wilasrusmee C., and Suthakorn J., “Adaptive Mean-Shift Kalman Tracking of Laparoscopic Instruments,” International Journal of Computer Theory and Engineering (IJCTE 2012), vol. 4, no. 5, pp. 685-689, 2012.
  • Sa-Ing V., Thongvigitmanee S. S., Wilasrusmee C., and Suthakorn J., “Object Tracking for Laparoscopic Surgery Using the Adaptive Mean-Shift Kalman Algorithm,” International Journal of Machine Learning and Computing (IJMLC 2011), vol. 1, no. 5, pp. 441-447, 2011.
  • Wilasrusmee C., Suthakorn J., Guerineau C., Itsarachaiyot Y., Sa-Ing V., Proprom N., Lertsithichai P., Jirasisrithum, S., andKittur, D., “A Novel Robotic Monoflament Test for Diabetic Neuropathy,” Asian Journal of Surgery, Vol. 33, Issue 4, pp. 193-198, 2010.
  • Sa-ing V., Srisomboon K., Lee W., Kaewtreewong W., Thongruy K., Chaysangchom , “Pneumonia and Covid-19 Detection on Chest X-ray Imaging Using Deep Learning: PCX-Net,” 2025 13th International Electrical Engineering Congress (iEECON), 2025, pp. 1-4.

  • Sa-ing V., Lee W., Srisomboon K., “Weapon Detection Method Using Convolutional Neural Network with Human Pose Estimation,” 2025 13th International Electrical Engineering Congress (iEECON), 2025, pp. 1-5.
  • Srithai N., Rittireung K., Sungthong N., Srisomboon K., Lee W., Sa-Ing V., “Ripeness Classification of Fresh Oil Palm Using Deep Learning,” 2025 13th International Electrical Engineering Congress (iEECON), 2025, pp. 1-5. “Best Paper Award”

  • Paeyai P., Roiphung S., Vorasayan P., Srisomboon K., Lee W., Saing V., “Automatic Alzheimer Screening on Clock Drawing Test Using Deep Learning : ASDL,” 2025 13th International Electrical Engineering Congress (iEECON), 2025, pp. 1-5.

  • Promchart C., Saingam N., Thongkum W., Mahatthanajatuphat C., Lee W., Sa-Ing V., “Steering Angle Prediction for Self-Driving Car Using Proposed CNN Architecture,” 2025 13th International Electrical Engineering Congress (iEECON), 2025, pp. 1-5.

  • Srijariyakorn P., Niruntranont A., Suksomkit K., Mahatthanajatuphat C., Lee W., SaIng V., “Stroke Classification from Facial Features Using Machine Learning,” 2025 13th International Electrical Engineering Congress (iEECON), 2025, pp. 1-5.

  • Kunseewattana R., Sodaying T., Lee W., C. Mahatthanajatuphat C., Sa-Ing V., “Automatic Crosswalk Detection and Counting Using YOLO and SAHI Techniques,” 2025 13th International Electrical Engineering Congress (iEECON), 2025, pp. 1-4

  • Namboonlue C., Virankabutra P., Sa-ing V., “Feline Feelings Unleashed : Harnessing Deep Learning through Facial Cat for Pain Detection,” 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things andBig Data (IEEE ICEIB 2024), 2024, pp. 438-441. “Best Conference Paper Award”

  • Prabrai R., Sa-ing V., “Melanoma Detection on Dermoscopic Images Using Deep Learning Technique,” 2024 16th International Conference on Knowledge and Smart Technology (KST 2024), 2024, pp. 24-28.

  • Choomueang W., Withoonchatri C., Janwong P., Sa-ing V., “CCVNet: COVID-19 Detection in Chest X-ray Imaging based on Convolutional Neural Network,” 2023
    7th International Conference on Medical and Health Informatics (ICMHI 2023)    , 2023,1-5. “Second Presentation Award”

  • Anupoomchaiya P., Sukperm A., Rojnuckarin P., Sa-ing V., “Automatic Diagnosis Model for Risk Factors of Symptomatic Venous Thromboembolism based on Machine Learning,” 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTICON), 2022, pp. 1-4.

  • Manassakorn A., Khamwan K., Owasirikul D., Itthipanichpong R., Sa-Ing V., Auethavekiat S., “Retinal Nerve Fiber Layer Defect Detection using Machine Learning on Optic Disc Photograph,” 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (IEEE BSN 2021), 2021, pp. 1-4.

  • Sukperm A., Rojnuckarin P., Akkawat B., Sa-ing V., “Automatic Diagnosis of Venous Thromboembolism Risk based on Machine Learning,” in the 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2021, pp.
    825-828.

  • Siriket K., Sa-ing V., Khonthapagdee S., “Mood classifcation from Song Lyric using Machine Learning,” in the 2021 International Electrical Engineering Congress (iEECON2021), 2021, pp. 1-4.

  • Piraintorn P., Sa-ing V., “Stroke Rehabilitation based on Intelligence Interaction System,” 2020 17th International Conference on Electrical Engineering / Electronics,
    Computer, Telecommunications and Information Technology (ECTI-CON)    , 2020, pp.
    648-651.

  • Khonthapagdee S., Lownoppakul S., Chotchoey N., Wiwatwattana N., Mongkolluksamee S., Sa-ing V., “Alzheimer Screening using Drawing Test Scores,” in the
    2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)    , 2020, pp. 101-104 Meechart K., Auethavekiat S., Sa-ing V., “An Automatic Detection for Avian Blood Cell based on Adaptive Thresholding Algorithm,” in the 12th Biomedical Engineering International Conference (BMEiCON-2019), 2019, pp. 1-4.

  • Autaiem T., Auethavekiat S., Arreesrisom P., Prasertsincharoen N., Nakgoi K., Sa-ing V. , “Automatic Counting for Canine Red Blood Cell based on Two-stage Circular Hough Transform,” in the 12th Biomedical Engineering International Conference
    (BMEiCON-2019)    , 2019, pp. 1-4.

  • Autaiem T., Auethavekiat S., Sa-ing V., Nakgoi K., Prasertsincharoen N., Arreesrisom, “A Novel Iterative Method for Automatic Avian Red Blood Cell Counting,” in
    the 12th Biomedical Engineering International Conference (BMEiCON-2019)    , 2019,
    pp. 1-5.

  • Shevaruangroj T., Auethavekiata S., Sa-ing V., “Metal Artifact Reduction by Mapping MR into CT Information,” 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Sydney, Australia, November 10-17, 2018, pp. 1-2.

  • Sa-ing V., Wangkaoom K., and Thongvigitmanee S. S., “Automatic Dental Arch Detection and Panoramic Image Synthesis from CT Images,” Of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2013), 2013, pp. 6099-6012.

  • Thongvigitmanee S. S., Kasemsarn S., Sirisalee P., Aootaphao S., Rajruangrabin
    , Yampri P., Srivongsa T., Sa-ing V., and Thajchayapong P., “DentiiScan: The
    frst cone-beam CT scanner for dental and maxillofacial imaging developed in Thailand    ,” 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), 2013, pp. 1-3.

  • Tuntakurn A., Thongvigitmanee S. S., Sa-ing V., Makhanov S. S. and Hasegawa , “Touchless fnger gestures for categorical and spatio-temporal controls,” in The 4th International Conference on Information and Communication(ICICTES’ 2013),
    2013, pp. 1-5. “Best Paper Award”

  • Tuntakurn A., Thongvigitmanee S. S., Sa-ing V., Makhanov S. S. and Hasegawa S.,“Natural interaction on 3d medical image viewer software,” in The 5th Biomedical Engineering International Conference (BMEICON’ 2012), 2012, pp. 1-5.

  • Saikaew K.R., Jirandorn N., Juntaranon N., Ariyadech S., Sa-ing V., Pattara-Atikom, Thongvigitmanee S.S., “CT image management and Communication services,”Annual SRII Global Conference, 2012, pp. 660-666.

  • Sa-ing V., Thongvigitmanee S. S., Wilasrusmee C., and Suthakorn J., “A New Laparo scopic-Holder Assisting Robot and Workspace Analysis,” The 7th Asian
    Conference on Computer-Aided Surgery (ACCAS 2011)    , 2011, pp. 1-2.

  • Sa-ing V., Thongvigitmanee S. S., Wilasrusmee C., and Suthakorn J., “Adaptive Mean-Shift Kalman Tracking for Laparoscopic Surgery,” The 4th IEEE Intl. Conf.on Computer Science and Information Technology (IEEE ICCSIT 2011), 2011, pp.
    204-208.

  • Wilasrusmee C, Suthakorn J, Guerineau C, Itsarachaiyot Y, Sa-ing V., Sirisopha W,Proprom N ,Lertsithichai P, Tangsakuntong P.A, “Novel Robotic Monoflament Test for Diabetic Neuropathy,” 20th FIP worldcongress of pediatry, Amsterdam, 2010, pp.
    193-198.

  • Itsarachaiyot Y., Suthakorn J., Guerineau C., Sa-ing V., Sirisopha W., and Wilasrusmee C., “Development of A Novel Robotic Monoflament Probe for Diabetic Neuropathy Screening,” Proceedings of the 4th IEEE International Symposium on Biomedical Engineering (ISBME 2009), 2009, pp. 1-6.

  • Suthakorn J., Shah S.S.H., Jantarajit S., Onprasert W., Saensupo W., Saeung S., Nakdhamabhorn S.,Sa-ing V., and Reaungamornrat S., “On the Design and Development of A Rough Terrain Robot for Rescue Missions,” Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics (ROBIO 2008), 2009, pp 1830 -1835.

  • Sa-ing V., Thongvigitmanee S. S., Wilasrusmee C., and Suthakorn J., “Design of a New Laparoscopic-Holder Assisting Robot,” of the 3rd International Symposium on Biomedical Engineering (ISBME 2008), 2008, pp. 278-281.

This information was last updated on : August 28 2025.