{"id":8866,"date":"2021-12-08T06:45:11","date_gmt":"2021-12-08T06:45:11","guid":{"rendered":"https:\/\/ait.ac.th\/?post_type=people&p=8866"},"modified":"2024-01-03T03:28:43","modified_gmt":"2024-01-03T03:28:43","slug":"dr-chaklam-silpasuwanchai","status":"publish","type":"people","link":"https:\/\/ait.ac.th\/people\/dr-chaklam-silpasuwanchai\/","title":{"rendered":"Chaklam Silpasuwanchai"},"content":{"rendered":"
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PROFILE<\/div>\n
EDUCATIONAL BACKGROUND<\/div>\n
RESEARCH INTERESTS<\/div>\n
TEACHING<\/div>\n
SELECTED PUBLICATIONS<\/div>\n
ONGOING AND COMPLETED PROJECTS<\/div>\n
AWARDS AND HONORS<\/div>\n
RESEARCH KEYWORDS<\/div>\n <\/div>\n
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Dr. Chaklam Silpasuwanchai is an Assistant Professor at the Computer Science and Information Management Program,\u00a0<\/span>Asian Institute of Technology<\/span><\/a>\u00a0(AIT), Thailand. \u00a0He received his Ph.D. and postdoc under the supervision of\u00a0\u00a0<\/span>XiangshiRen<\/span><\/a>,\u00a0<\/span>Center for Human-Engaged Computing<\/span><\/a>, Japan.<\/span><\/p>\n

His<\/span>\u00a0<\/span>AIT Brain Lab<\/span><\/a>\u00a0works in the area of\u00a0<\/span>natural\u00a0language\u00a0processing\u00a0<\/b>and<\/span>\u00a0brain computer interfaces.<\/b><\/p>\n

He is a recipient of a\u00a0<\/span>KAKENHI Young Scientist grant<\/span><\/a>,\u00a0<\/span>a Young Scientist grant by TRF<\/span><\/a>,\u00a0a National Science and Technology Development Agency\u00a0<\/span>Toray Science<\/span><\/a>\u00a0grant, \u00a0and\u00a0a member of\u00a0<\/span>a JST grant<\/span><\/a>\u00a0project.<\/span><\/p>\n<\/div>\n

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  1. Ph.D. in Computer Science, Kochi University of Technology, Japan (2017)<\/span><\/li>\n
  2. M.E. in Computer Science, Asian Institute of Technology, Thailand (2011)<\/span><\/li>\n
  3. B.Sc. in Computer Science, Sirindhorn International Institute of Technology, Thailand, (2008)<\/span>\n



    <\/li>\n<\/ol>\n<\/div>\n

      \n
    1. EEG BCI Speller<\/b>: Develop a real-time speller using EEG for locked-in patients.<\/span><\/li>\n
    2. Large Language Models<\/b>: Develop conversational AI for legal question answering, corporate chatbots, summarization, etc. using large language models.<\/span><\/li>\n
    3. Non-Invasive Blood Glucose Measuring Using Raman Spectroscopy<\/b>: Utilize Raman Spectroscopy to non-invasively measure blood glucose through fingernails.<\/span><\/li>\n
    4. Medical Imaging<\/b>: Utilize deep learning and language models for medical image analysis and explanations.<\/span><\/li>\n<\/ol>\n<\/div>\n
        \n
      1. AT82.03 Machine Learning<\/li>\n
      2. AT82.05 Artificial Intelligence: Natural Language Understanding<\/li>\n
      3. AT82.09 Human-Computer Interaction and Information Visualization<\/li>\n<\/ol>\n<\/div>\n
          \n
        1. Pananookooln, C., Akaranee, J., and Silpasuwanchai, C.. Comparing Selective Masking Methods for Depression Detection in Social Media. <\/span>Computational Linguistics<\/span><\/i>. 2023. (IF: 7.778)<\/span><\/li>\n
        2. Niksirat, KS., Silpasuwanchai, C., Cheng, P. and Ren, X. Attention Regulation Framework: Designing Self-Regulated Mindfulness Technologies. <\/span>ACM Transactions on Computer-Human Interaction<\/span><\/i>. 26, 6, Article 39 (November 2019), 44 pages. DOI: https:\/\/doi.org\/10.1145\/3359593. (IF: 2.227)<\/span><\/li>\n
        3. Niksirat, KS., Silpasuwanchai, C. and Ren, X. Sex Differences in relationship between flow proneness in everyday life and gray matter of the dopaminergic system: a cross-sectional study. <\/span>Personality and Individual Differences<\/span><\/i> 141. 2019. (IF: 2.390)<\/span><\/li>\n
        4. Silpasuwanchai, C., Ma, X., Shigemasu, H., and Ren, X. Developing a Comprehensive Engagement Framework of Gamification for Reflective Learning. <\/span>Proc. ACM DIS 2016<\/span><\/i>. (Acceptance rate: 108\/418=26%)\u00a0<\/span><\/li>\n
        5. Silpasuwanchai, C. and Ren, X. Designing Concurrent Full-Body Gestures for Intense Gameplay. <\/span>International Journal of Human Computer Studies<\/span><\/i> 80 (1), Elsevier, 2015. (IF: 5.4) <\/span><\/li>\n<\/ol>\n<\/div>\n
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          1. \u00a0Royal Golden Jubilee PhD.: RGJPHD\u00a0by\u00a0National Research Council of Thailand (NRCT) (PI): \u00a0<\/span>Developing Question-Answering system using Large Language Models for Thai\u00a0Applications<\/b>\u00a0(1,690,000 Baht).<\/span><\/li>\n
          2. \u00a0Office of the National Broadcasting and Telecommunications Commission (co-PI):\u00a0<\/span>Telehealth Monitoring and Assistive Systems for Elderly and Disabled People<\/b>\u00a0(14,000,000 Baht).<\/span><\/li>\n
          3. \u00a0Ministry of Higher Education, Science, Research and Innovation (MHESI), Young Scientist (PI):\u00a0<\/span>Hybrid P300-SSVEP BCI Speller for Thai Language<\/b>\u00a0(595,000 Baht).<\/span><\/li>\n
          4. \u00a0Thailand Science Research and Innovation (TSRI) (PI):\u00a0<\/span>Hybrid P300-SSVEP BCI Speller for Thai Language<\/b>\u00a0(124,750 Baht).<\/span><\/li>\n
          5. \u00a0Thailand Toray Science (PI): National Science and Technology Development Agency:\u00a0<\/span>Hybrid P300-SSVEP BCI Speller for Thai Language<\/b>\u00a0(190,000 Baht).<\/span><\/li>\n
          6. \u00a0Stamford Competitive Internal Grants (PI):\u00a0<\/span>Developing Brain-Computer Interfaces Using P300<\/b>\u00a0(234,000 Baht), .(The acceptance rate is around 30%.)<\/span><\/li>\n
          7. \u00a0Grant-in-Aid for Scientific Research by MEXT (PI): Ministry of Education, Culture, Sports, Science and Technology, Japan (No.16K21300) (4,992,000 JPY):\u00a0<\/span>Investigating Cognitive Enhancement of Elderly People by Using Motion Video Games<\/b>.(The acceptance rate is around 20-25%.)<\/span><\/li>\n
          8. \u00a0Japan-Finland Collaborative Research Projects by JST, AF and Tekes (co-PI): Japan-Finland Collaborative Research Projects by JST, AF and Tekes (18,000,000 JPY):\u00a0<\/span>User Interface Design for the Ageing Population<\/b>.(The acceptance rate is 18%.)\u00a0<\/span><\/li>\n<\/ol>\n<\/div>\n
              \n
            1. Best ACM CHI paper awards – 2017<\/span><\/li>\n
            2. Honorable Mentions by the ICACHI community 2015<\/span><\/li>\n
            3. Special Scholarship Program Full Scholarship : Granted by the Kochi Prefecture to students with academic<\/span>
              \n<\/span>achievements for pursuing a Doctoral Degree at Kochi University of Technology, Kochi, Japan. 2012-2015<\/span><\/li>\n
            4. Royal Thai Government Full Scholarship : Granted by the Royal Thai Government to students with academic<\/span>
              \n<\/span>achievements for pursuing a Master Degree at Asian Institute of Technology, Pathum Thani, Thailand. 2009-2011.<\/span><\/li>\n
            5. 2nd Place Award for Thailand National Open-Sourced Software Contest: Awarded for a sketch recognition <\/span>algorithm for diagram construction. 2008.<\/span><\/li>\n<\/ol>\n<\/div>\n
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              1. Machine Learning<\/li>\n
              2. Deep Learning<\/li>\n
              3. Natural Language Processing<\/li>\n
              4. Brain Computer Interfaces<\/li>\n
              5. EEG<\/li>\n<\/ol>\n<\/div>\n <\/div>\n <\/div>\n<\/div>","protected":false},"featured_media":20124,"template":"","people_cate":[27],"acf":[],"_links":{"self":[{"href":"https:\/\/ait.ac.th\/wp-json\/wp\/v2\/people\/8866"}],"collection":[{"href":"https:\/\/ait.ac.th\/wp-json\/wp\/v2\/people"}],"about":[{"href":"https:\/\/ait.ac.th\/wp-json\/wp\/v2\/types\/people"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ait.ac.th\/wp-json\/wp\/v2\/media\/20124"}],"wp:attachment":[{"href":"https:\/\/ait.ac.th\/wp-json\/wp\/v2\/media?parent=8866"}],"wp:term":[{"taxonomy":"people_cate","embeddable":true,"href":"https:\/\/ait.ac.th\/wp-json\/wp\/v2\/people_cate?post=8866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}