{"id":5549,"date":"2025-06-13T12:10:56","date_gmt":"2025-06-13T12:10:56","guid":{"rendered":"https:\/\/demo.touchtechdesign.com\/fibo\/?p=5549"},"modified":"2025-06-13T12:10:57","modified_gmt":"2025-06-13T12:10:57","slug":"dr-warasinee-chaisangmongkon","status":"publish","type":"post","link":"https:\/\/demo.touchtechdesign.com\/fibo\/en\/dr-warasinee-chaisangmongkon\/","title":{"rendered":"Dr.Warasinee Chaisangmongkon"},"content":{"rendered":"\n
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<\/line> <\/svg><\/span>Dr.Warasinee Chaisangmongkon<\/span><\/h2>\n<\/div>\n\n\n\n
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Short Bio<\/strong><\/strong><\/strong><\/strong><\/span><\/h2>\n\n\n\n

Dr. Warasinee Chaisangmongkon is a lecturer at the Institute of Field Robotics (FIBO), King Mongkut\u2019s University of Technology Thonburi. She
has a Bachelor’s Degree in Physics and Cognitive Psychology from Cornell University and a Ph.D. in Computational Neuroscience from Yale
University, where she studied deep learning models that mimic human cognition.<\/p>\n\n\n\n

Dr. Warasinee Chaisangmongkon is a lecturer at the Institute of Field Robotics (FIBO), King Mongkut\u2019s University of Technology Thonburi. She
has a Bachelor’s Degree in Physics and Cognitive Psychology from Cornell University and a Ph.D. in Computational Neuroscience from Yale
University, where she studied deep learning models that mimic human cognition.<\/p>\n\n\n\n

Dr. Chaisangmongkon co-founded Perceptra Co., Ltd., an AI startup with a mission to improve health outcomes for millions of people with
cutting-edge technology. Perceptra is building a robust, scalable artificial intelligence platform for enhanced medical services in Thailand.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/line> <\/svg><\/span>education<\/strong><\/strong><\/strong><\/span><\/h2>\n\n\n\n

\u25cf 2010 – 2015 Yale University, New Haven, CT, USA \u2014 M.Phil & Ph.D.Computational Neuroscience : Modeling brain function with deep learning<\/p>\n\n\n\n

\u25cf 2005 – 2009 Cornell University, Ithaca, NY, USA \u2014 B.A.Physics and Cognitive Psychology<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/line> <\/svg><\/span>experience<\/strong><\/strong><\/strong><\/strong><\/span><\/h2>\n\n\n\n

\u25cf Since 2015 Institute of Field Robotics, KMUTT \u2014 Lecturer<\/p>\n\n\n\n

\u25cfSince 2015 Big Data Experience Center, KMUTT \u2014 Data Scientist<\/p>\n\n\n\n

\u25cfSince 2017 Perceptra Co., Ltd. \u2014 Co-Founder (CTO, 2021-2023)Robotic Dexterity, Factory Automation Analysis and Design of Mechanism and Control Systems<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/line> <\/svg><\/span>Selected Projects<\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/h2>\n\n\n\n

Perceptra Co. Ltd \u2014 CTO, 2021 – 2023
<\/strong>\u25cf Built a team of engineers (deep learning researchers, MLOps engineer, cloud engineers, and software developers) that
developed and delivered medical AI platform (Inspectra) to over 100 hospitals in Thailand.
\u25cf Brought Inspectra CXR to international standard certification ISO-13485, IEC-62304, Thai FDA, Singapore HSA.<\/p>\n\n\n\n

Stock Exchange of Thailand \u2014 Machine Learning Consultant, 2016 – Present
<\/strong>\u25cf Implement recommendation system for mobile trading platform
\u25cf Implement end-to-end Big Data Analytic and Automated Machine Learning system for marketing strategy team<\/p>\n\n\n\n

Kasikorn Bank PLC \u2014 Machine Learning Consultant, 2016 – 2019
<\/strong>\u25cf Consultant for machine learning team at Kasikorn Bank Technology Group (KBTG)
\u25cf Built a credit risk prediction and analytics
\u25cf Built the real estate intelligence platform<\/p>\n\n\n\n

NVIDIA \u2014 <\/strong>Certified Deep Learning Instructor, 2019<\/p>\n\n\n\n

Advanced Info Service \u2014 Machine Learning Consultant, 2018 – 2019
<\/strong>\u25cf Consultant for the mobile phone recommender engine project
ICC International Co., Ltd. \u2014 Machine Learning Consultant, 2018 – 2019
\u25cf Built retail analytics pipelines and dashboards
\u25cf Develop machine learning model for product sales forecasting
\u25cf Develop analytic model for product lifecycle dynamics<\/p>\n\n\n\n


Ayudhya Capital Services \u2014 Machine Learning Consultant, 2016 – 2017
<\/strong>\u25cf Built the recommender engine for credit card offersJoint Committee Member (1996 \u2013 present)
KMUTT \u2013 MIT Collaborative S&T Programs<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/line> <\/svg><\/span>SELECTED RESEARCH AND TRAINING PROJECTS<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/h2>\n\n\n\n

The Development of Theoretical and Practical Resources for Application of Artificial
Intelligence for Medical Image Analysis in Thailand<\/strong>
Fundamental Fund, TSRI, 2022<\/p>\n\n\n\n

Artificial Intelligence for the Improvement of Breast Cancer Screening and Diagnostics
on Pilot Hospitals<\/strong>
National Innovation Agency (Thailand), 2022<\/p>\n\n\n\n

AI for All : Training Young Engineers for AI<\/strong>
PMU-B NXPO, 2020<\/p>\n\n\n\n

The Development of Tuberculosis Detection Algorithm for Thai Population<\/strong>
ASAHI Foundation Research Grant, 2020<\/p>\n\n\n\n

The Development of Artificial Intelligence Algorithm for Chest X-Ray Analysis<\/strong>
National Innovation Agency (Thailand), 2019-2020<\/p>\n\n\n\n

Machine Learning Training Program<\/strong>
Western Digital – Metropolitan Waterworks Authority – SCG Chemicals, 2019<\/p>\n\n\n\n

AI for Business, Big Data Analytics with Apache Spark Training Program
<\/strong>Advanced Info Services, 2019<\/p>\n\n\n\n

Deep Learning Training Program
<\/strong>Defence Technology Institute – Chulalongkorn University, 2018<\/p>\n\n\n\n

A Cloud-based Framework for Autonomous Big Data Modeling
<\/strong>ASAHI Foundation Research Grant, 2017<\/p>\n\n\n\n

Probabilistic Topic Mining Model for Thai Language
<\/strong>KMUTT Research Grant, 2016<\/p>\n\n\n\n

Dynamic model of human decision making function
<\/strong>Yale University, 2009-2015<\/p>\n\n\n\n

Study human unconscious decision through behavioral analytics and
electroencephalography (EEG)<\/strong>
Cornell University, 2007-2009<\/p>\n\n\n\n

Modeling material properties analyzing nano-scale images from scanning tunneling
and atomic force microscopy<\/strong>
IBM Almaden Research Center, 2005-2006<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/line> <\/svg><\/span>Conferences and Publications<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/h2>\n\n\n\n

Chaiyungyuen, S., Chetprayoon, P., Chaisangmongkon, W. and Sakdejayont, T., 2023, May.
<\/strong>Addressing Data Scarcity in Thai Car Recognition Using Few-Shot Learning. In 2023 8th
International Conference on Business and Industrial Research (ICBIR) (pp. 471-476). IEEE.<\/p>\n\n\n\n

Saiviroonporn, P., Wonglaksanapimon, S., Chaisangmongkon, W., Chamveha, I., Yodprom, P., Butnian, K., Siriapisith, T. and Tongdee, T., 2022.
<\/strong>A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence. BMC Medical Imaging, 22(1), pp.1-10.<\/p>\n\n\n\n

Rajak, A., Chaisangmongkon, W., Chamveha, I., Promwiset, T., Rungsinaporn, K., Saiviroonporn, P. and Tongdee, T., 2022, November. <\/strong>
External Validation of Deep Learning Algorithm for Tuberculosis Detection in Thai Population. In 2022 6th International Conference on Information Technology (InCIT) (pp. 314-319). IEEE.<\/p>\n\n\n\n

Harnpadungkij, T., Chaisangmongkon, W. and Phunchongharn, P., 2022. Risk-Sensitive Portfolio
<\/strong>Management by Using C51 Algorithm. CHIANG MAI JOURNAL OF SCIENCE, 49(5), pp.1458-1482.<\/p>\n\n\n\n

Chanlongrat, W., Apichanapong, T., Sinngam, P. and Chaisangmongkon, W., 2022. A semi-automated system for person re-identification
<\/strong>adaptation to cross-outfit and cross-posture scenarios. Applied Intelligence, 52(8), pp.9501-9520.<\/p>\n\n\n\n

Saiviroonporn, P., Rodbangyang, K., Tongdee, T., Chaisangmongkon, W., Yodprom, P., Siriapisith, T., Wonglaksanapimon, S. and Thiravit, P., 2021.
<\/strong>Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies. BMC Medical Imaging, 21(1), p.95.<\/p>\n\n\n\n

Chaisangmongkon, W., Chamveha, I., Promwiset, T., Saiviroonporn, P. and Tongdee, T., 2021.
<\/strong>External validation of deep learning algorithms for cardiothoracic ratio measurement. IEEE Access, 9, pp.110287-110298.<\/p>\n\n\n\n

Chamveha, I., Promwiset, T., Tongdee, T., Saiviroonporn, P., Chaisangmongkon, W. (2021).<\/strong>
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study. (Accepted at 19th Asian Oceanian Congress of Radiology)<\/p>\n\n\n\n

Chamveha, I., Tongdee, T., Saiviroonporn, P., Chaisangmongkon, W. (2020).
<\/strong>Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study. arXiv preprint arXiv:2004.10975.<\/p>\n\n\n\n

Chamveha, I., Promwiset, T., Tongdee, T., Saiviroonporn, P., Chaisangmongkon, W. (2020).
<\/strong>Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach. arXiv preprint arXiv:2002.07468.<\/p>\n\n\n\n

Limsurat, T., and Chaisangmongkon, W. (2019).<\/strong>
Event-based Feature Synthesis: Autonomous Data Science Engine. Journal of Computers, 30(2),
pp. 55-67<\/p>\n\n\n\n

Asawaroengchai, C., Chaisangmongkon, W., & Laowattana, D. (2018, May).
<\/strong>Probabilistic learning models for topic extraction i Thai language. In
2018 5th International Conference on Business and Industrial Research (ICBIR) (pp. 35-40). IEEE.<\/p>\n\n\n\n

Chaisangmongkon, W., Swaminathan, S.K., Freedman, D.J. and Wang, X.J., 2017.
<\/strong>Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions. Neuron, 93(6), pp.1504-1517.<\/p>\n\n\n\n

Soltani, A., Chaisangmongkon, W., and Wang, X.J., 2017.
<\/strong>“Neural Circuit Mechanisms Of Value-Based Decision-Making And Reinforcement
Learning”. Decision Neuroscience, 163-176. doi:10.1016\/b978-0-12-805308-9.00013-0.<\/p>\n\n\n\n

Engel, T.A., Chaisangmongkon<\/em>, W., Freedman, D.J. and Wang, X.J., 2015.
<\/strong>Choice-correlated activity fluctuations underlie learning of neuronal category representation. Nature communications, 6. (* equal contribution)<\/p>\n\n\n\n

Chaisangmongkon W, Swaminathan SK, Freedman DJ, Wang XJ.
<\/strong>Dynamic neural population coding of visual categories in the fronto-parietal
network. Society for Neuroscience annual meeting, San Diego, CA. November 9-13, 2013.<\/p>\n\n\n\n

Chaisangmongkon W, Engel TA, Freedman DJ, Wang XJ.
<\/strong>Reward-dependent plasticity model for categorization and category match decision.
Society for Neuroscience annual meeting, New Orleans, LA. Oct 13-17, 2012.<\/p>\n\n\n\n

Chaisangmongkon W, Swaminathan SK, Freedman DJ, Wang XJ.
<\/strong>Direction tuning vs. category tuning in delayed match-to-category task.
Computational and Systems Neuroscience (Cosyne) annual meeting, Salt Lake City, UT. February 23-26, 2012.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/line> <\/svg><\/span>Contact<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/h2>\n\n\n\n

E-mail : warasinee.cha@kmutt.ac.th<\/a><\/p>\n\n\n\n

E-mail : warasinee@perceptra.tech<\/a><\/p>\n\n\n\n

Tel : (096) 803-6620<\/a><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Dr.Warasinee Chaisangmongkon Short Bio Dr. Warasinee Chaisangmongkon is a lecturer at the Institute of Field Robotics (FIBO), King Mongkut\u2019s University of Technology Thonburi. Shehas a Bachelor’s Degree in Physics and Cognitive Psychology from Cornell University and a Ph.D. in Computational Neuroscience from YaleUniversity, where she studied deep learning models that mimic human cognition. Dr. Warasinee […]<\/p>\n","protected":false},"author":1,"featured_media":1026,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[168],"tags":[],"class_list":["post-5549","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-personnel-history"],"acf":[],"_links":{"self":[{"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/posts\/5549","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/comments?post=5549"}],"version-history":[{"count":1,"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/posts\/5549\/revisions"}],"predecessor-version":[{"id":5550,"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/posts\/5549\/revisions\/5550"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/media\/1026"}],"wp:attachment":[{"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/media?parent=5549"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/categories?post=5549"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demo.touchtechdesign.com\/fibo\/wp-json\/wp\/v2\/tags?post=5549"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}