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Alisa Kunapinun, D.Eng.

Alisa Kunapinun, D.Eng.

Florida Atlantic University, USA

E-mail: alisa@bartlab.org; akunapinun@fau.edu; alisa3006@gmail.com
Phone: +1 (772) 265 7432
Address: Florida Atlantic University, Harbor Branch Oceanographic Institute
Brief info

Current Status:
 ⦁ Post-Doc Fellow Research in Florida Atlantic University, Harbor Branch Oceanographic Institute (FAU HBOI)
 ⦁ CO-PI and Researcher in Faculty of Radiology, Siriraj Hospital, Mahidol University, and AI Center, Asian Institute of Technology
 ⦁ Web master of http://www.bartlab.org/

Education:
 ⦁ D.Eng (Mechatronics) – Asian Institute of Technology, THAILAND (2022)
 ⦁ Certificate (Machine Learning from Data to Decision) – MIT, USA (2019)
 ⦁ Certificate (Applied Machine Learning) – Columbia University, USA (2019)
 ⦁ M.Eng (Mechatronics) – Asian Institute of Technology, THAILAND (2010)
 ⦁ B.Eng. (Computer Engineering) – Mahidol University, THAILAND (2008)

Research Interest:
Maching Learning, AI, Machine Vision, MRI/CT/US Imaging, Brain MRI Imaging, Thyroid US Imaging, Robotics, Industrial Robotics, System Automation, Robotics, Deep Reinforcement Learning, Aquaculture System

Professional Timeline

2010
R&D Software Engineer

Cal-Comp Electronics (Thailand) Public Co., Ltd.
Bangkok, Thailand
(2010-2014)

2012
System Integration Supervisor

Cal-Comp Electronics (Thailand) Public Co., Ltd.
Bangkok, Thailand
(2010-2014)

2014
Software and System Integration Assistant Manager

Cal-Comp Electronics (Thailand) Public Co., Ltd.
Bangkok, Thailand
(2010-2014)

Software Robot Engineer

Shibaura Machine Co.,LTD.
Shizuoka, Japan (2014-2018)

2017
Software Robot Specialist

Shibaura Machine Co.,LTD.
Shizuoka, Japan (2014-2018)

Vice Director

Cal-Comp Automation and Industrial 4.0 (Thailand) Co., Ltd.
Bangkok, Thailand (2018-2019)

2019
Temporary Lecturer

Robotics Course Online
King Mongkut University of Technology North Bangkok

Head of System Integration

SOLITECH, Bangkok, Thailand (2019-2020)

2021
Research Assistant
  • Deep Learning on Thyroid Nodule in Ultrasound Images.
  • Deep Learning for Dementia in MRI Images

Asian Institute of Technology, Pathum Thani, Thailand
(2021-2024)

Teaching Assistant
  • Machine learning
  • Recent Trends of Machine Learning (Deep Learning)
  • Computer Vision
  • Deep Reinforcement Learning

Asian Institute of Technology, Pathum Thani, Thailand (2021-2022)

2022
Temporary Instructor

Maching Learning from Data to Decision
King Mongkut Institute of Technology Lad Krabang

D.Eng. Graduation

Asian Institute of Technology, Pathum Thani, Thailand
(2019-2023)

2023
Researcher

Asian Institute of Technology, Pathum Thani, Thailand

Post-Doc Research Fellow

Florida Atlantic University, Harbor Branch Oceanographic Institute
Fort Pierce, Florida, USA

Publications

  1. Namsena, P.; Songsaeng, D., Keatmanee, C., Klabwong, S., Kunapinun, A., Soodcheun, S., Tarathipayakul, T., Tanasoontrarat, W., Ekpanyapong, M. and Dailey, M.N. Diagnostic Performance of Artificial Intelligence in Interpreting Thyroid Cancer on Ultrasound Images in the Multi-center Study. QIMS. (In Review). (Q2; IF 2.9)

  2. Kosavinta, S. and Kunapinun, A. (2023). CycleGAN Implementation for Creating Modern Thai Houses., 2023 ACADIA CONFERENCE. Presented on October 28, 2023. (Rank A)

  3. Kunapinun, A.; Songsaeng, D., Buathong, S., Dailey, M.N., Keatmanee, C., Ekpanyapong, M. Explainable Automated TI-RADS Evaluation of Thyroid Nodules. Sensors 2023, 23, 7289. https://doi.org/10.3390/s23167289. (Q1; IF 3.9)

  4. Kaewumporn U., Songsaeng D., Kunapinun A., Chaisinanunkul N., FLAIR vascular hyperintensity-DWI mismatch and DWI-FLAIR mismatch ASPECTS for prediction of good outcome after recanalization in anterior circulation stroke; multicenter observational study. Eur J Radiol. 2023 Jun;163:110837. doi: 10.1016/j.ejrad.2023.110837. Epub 2023 Apr 15. PMID: 37084592. (Q1; IF 3.5)

  5. Kunapinun A., Dailey M.N., Songsaeng D., Parnichkun M., Keatmanee C. Ekpanyapong M., Improving GAN Learning Dynamics for Thyroid Nodule Segmentation, Ultrasound Med Biol, 2023 Feb;416-430 doi: 10.1016/j.ultrasmedbio.2022.09.010. Epub 2022 Nov 21. PMID: 36424307. (Q1; IF 2.9)

  6. Kunapinun A., Dailey, M.N. (2022). COVID-19 X-ray Image Diagnosis Using Deep Convolutional Neural Networks. In Proceedings of Sixth International Congress on Information and Communication Technology  (pp. 733–741). Lecture Notes in Networks and Systems, vol 236. Springer.

  7. Kaewkorn, S., Joochim, C., Keeratiwintakorn, P., Kunapinun, A. (2020). Development of Pick and Place Delta Robot. The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1135. Springer.

  8. Kaewkorn S., Joochim C., Prasertprasasna S., Leartrussameejit C., Kuhataparuks H. and Kunapinun A. (2019), Notifying problems of a machine by using Machine Learning, 2019 Research, Invention, and Innovation Congress (RI2C). IEEE.

  9. Kaewkorn S., Joochim C. and Kunapinun A. (2019), The 9 Points Calibration Using SCARA Robot, 2019 Research, Invention, and Innovation Congress (RI2C). IEEE.

  10. Kunapinun, A., Lorsakul, A., Teerapong, S., Suratana, J., Saengsupho, W., Sagonwimon, F., Shah, S. S. H., Direkwatana, C., and Suthakorn, J., Motion Control of Intelligence Vehicle Using Camera and Other Systems, Proceedings of the 2007 TRS Conference on Robotics and Industrial Technology (CRIT 2007), Nakorn Phatom, Thailand, June 14-15, 2007.

Grants and Projects

  •  ⦁ Development of Artificial intelligence (A.I.) of Diagnostic Neuroradiology and Follow-up in Dementia diseases (2023-2024) 203,000 USD

      Project Grant: National Research Institute (Thailand), IRB number: 350/2566(IRB3)

  •  ⦁ Thyroid Nodule Classification and Analysis using ACR TI-RADs and Artificial Intelligence (2023)

      Project IRB: Siriraj Hospital, Mahidol University, IRB number: COE 403/2023