研究者業績
  1. Researcher List
  2. Virach Sornlertlamvanich

Virach Sornlertlamvanich

  (ソンラートラムワニッチ ウィラット)

Profile Information

Affiliation
Professor (Professor), Department of Data Science, Musashino University
Department of Engineering, Thammasat University
Degree
Ph.D.(Sep, 1998, Tokyo Institute of Technology)
Contact information
virachgmail.com
ORCID ID
 https://orcid.org/0000-0002-6918-8713
J-GLOBAL ID
201901006918149809
researchmap Member ID
B000354731
External link
In 2003, he achieved the “National Distinguished Researcher Award” in Information Technology and Communication from the National Research Council of Thailand, following by the “ASEAN Outstanding Engineering Achievement Award” from ASEAN Federation of Engineering Organizations (AFEO) in 2011. He was also esteemed “The Researcher of the Year 2001” by the Nation Newspaper in 2001. He started his research career in the field of Knowledge Engineering and Artificial Intelligence during his study in Kyoto University in 1980-1986. He started his research in Natural Language Processing by participating in the Multi-lingual Machine Translation project during 1988-1995, and received his Ph.D. from Tokyo Institute of Technology in 1998. Some of his long-running research contributions can be seen in the initiative in the development of Thai POS tagged corpus (ORCHID, 1997), the first corpus based Thai-English dictionary (LEXiTRON, 1997), and the first English-Thai online machine translation web service (ParSit, 2000) based on the Inter-lingual approach. His recent efforts are on the research and development of the technologies for digital content creation and understanding. He proposed the Digitized Thailand project in 2009 to establish an intelligent service platform for being a fundamental framework for digital content sharing and application mashup. Some of the achievements have already been publicized in culture and local wisdom digitization and the applications on the digital content services for tourism, product design and education. His research interest includes Natural Language Processing, Human Language Technology, Information Retrieval, Data Mining, Artificial Intelligence, Machine Learning, Deep Learning, Social Media Analytics and the related fields.

Research Interests

 5

Research Areas

 6

Research History

 19
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Education

 3

Awards

 7
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Papers

 134
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Misc.

 11
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Books and Other Publications

 5

Professional Memberships

 2

Research Projects

 6
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教育内容・方法の工夫

 4
  • Subject
    Information Retrieval
    Date(From)
    2015/01/01
    Date(To)
    2019/03/31
    Summary
    Basic and advanced techniques for text-based information systems: efficient text indexing; Boolean and vector space retrieval models; evaluation and interface issues; Web search including crawling, link-based algorithms, and Web metadata; text/Web clustering, classification; text mining.
  • Subject
    Management Information System
    Date(From)
    2014/08/01
    Date(To)
    2018/08/31
    Summary
    Management Information System explores the use of information systems in today's organizations. This is an exciting field because of the degree of change occurring in technology and how that translates into new opportunities for management and business process. Knowledge about information systems is essential for creating successful, competitive firms, for managing global corporations, for adding business value, and for providing useful products and services to customers. Throughout the course, case studies are provided to illustrate how organizations use IT to manage their businesses. The main topics covered in the course include
    l organizations,management,andthenetworkedenterprise
    l informationtechnology,infrastructure,platforms,andtelecommunications l systemsdevelopmentandmanagement,managingglobalsystems
    l applicationsforthedigitalfirm,includinge-businessande-commerce.
  • Subject
    Big Data Analytics
    Date(From)
    2018/01/01
    Date(To)
    2018/05/31
    Summary
    The recent explosion of social media, IOT technology, and the computerization of every aspect of economic activity resulted in the creation of big data. It is estimated that 80% and more of the data is in the unstructured form, in parallel with the development of computer which has kept getting ever more powerful and storage ever cheaper. Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. This course brings together several key information technologies in Big Data, AI, Machine Learning and Deep Learning to use in manipulating, storing, and analyzing big data.
  • Subject
    Creative Thinking
    Date(From)
    2013/06/01
    Date(To)
    2018/06/30
    Summary
    Creative thinking and designing tools. The ways to innovation and problem solving.
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