ISIS Group

Computational Intelligence Laboratory (CI)

CIL is the laboratory that aims to develop the intelligence system that has the same thinking and learning process as human beings and has the ability to learn by itself, from its experience and from related information in the past. The lab also aims to develop computational intelligence algorithms that can help support the decision making of human beings or even replace human works.
Lab member: Assoc.Prof.Dr. Arit Thammano

Data Mining and Data Exploration Laboratory (DME)

The purposes of DME laboratory are researching, developing, implementing, knowledge publishing, human resource development and social service in data mining field. This includes investigation and data exploration for analyzing and making decision. Data mining technology can be used to solve problems in both government and business organizations such as use of data mining tools to find customer behavior patterns to improve products and business services.
Lab member: Assoc.Prof.Dr. Worapoj Kreesuradej

Knowledge Management and Knowledge Engineering Laboratory (KMAKE)

KMAKE Lab focuses on knowledge engineering and knowledge management research. Related knowledge discovery technologies include information retrieval, data collection and information extraction. Knowledge representation and organization technologies. Data mining and text mining technologies include machine learning and predictive modeling, model evaluation. Knowledge dissemination technologies. The impact of knowledge management on the organization and society. Examples of research topics are knowledge extraction from web pages, social media mining, ontology construction and applications in various applications. Natural language processing and deep learning modeling.
Lab member: Assoc.Prof.Dr. Ponrudee Netisopakul, Assist.Prof.Dr. Bundit Thanasopon, Assist.Prof.Dr. Supakit Nootyaskoool

Data Science & Machine Learning Research Laboratory (DSMLR)

DSMLR laboratory focuses on developing new machine learning algorithms to tackle real-world applications e.g. chemoinformatics, eye-tracking, bioinformatics, health informatics, text analysis etc. We currently work on a number of projects with industrials and across universities.
Lab member: Assoc.Prof.Dr. Kitsuchart Pasupa

Intelligence Lab for Cognitive and Business Analytics

IcBiz Lab focuses on the analysis of structured and unstructured data, enabling computers to learn and gain insight hidden inside the data in several formats, such as natural language, actions, perceptions and human behaviors. Research and expertise of the IcBiz lab encompass multidisciplinary and interdisciplinary knowledge (e.g., Artificial Intelligence, Linguistics, and Cognitive Psychology) in explaining, reasoning and summarizing the data as knowledge for the wisdom of decision making. IcBiz Lab intends to apply such expertise to practical usage in various business sectors, such as finance, retail, marketing planning, medicine, agriculture, education, etc.
Lab Member: Assist.Prof.Dr. Kanokwan Atchariyachanvanich, Assoc.Prof.Dr. Teerapong Leelanupab, Assist.Prof.Srinual Narintippayawong, Dr.Nont Kanungsukkasem