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Organizers

Artificial Intelligence Association of Thailand (AIAT)
Sirindhorn International Institute of Technology, Thammasat University (SIIT, TU)
Thammasat University (TU)
Prince of Songkla University
Thailand National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency (NSTDA)

Sponsors

The Pacific Rim International Conferences on Artificial Intelligence (PRICAI)
Artificial Intelligence Journal
Asian Office of Aerospace Research and Development (AOARD), Air Force Office of Scientific Research (AFOSR)
Thammasat University
Thailand Convention and Exhibition Bureau (TCEB) OR
Thailand Convention and Exhibition Bureau (TCEB)
Provincial Electricity Authority of Thailand (PEA)
Sertis Co., Ltd.
Defence Technology Institute (DTI) (Thailand Public Organization)
Franz Inc.
The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

Supporters

Lecture Notes in Computer Science (LNCS)
Artificial Intelligence Association of Thailand (AIAT)

Tutorial List

List of PRICAI Tutorials
August 22-26, 2016,
Phuket, Thailand

  1. Deep learning for natural language processing (T1)
    by Hidekazu Yanagimoto, Osaka Prefecture University, Japan
    August 22, 2016, 10:00 to 17:00


  2. Introduction to Coalition Formation and its Application (T2)
    by Chattrakul Sombattheera, Mahasarakham University, Thailand
    August 23, 2016, 10:00 to 12:30


  3. Collective Intelligence: Using Systems/Design Thinking Methods to Improve Group Intelligence (T3)
    by Jarun Ngamvirojcharoen and Komes Chandavimol, Data Science Thailand and Sertis Corporation
    August 23, 2016, 10:00 to 12:30


  4. Visually See Text Mining Math Processes on LSA, SVD, and Gibbs Sampling (T4)
    by Yukari Shirota, Gakushuin University, Japan August 23, 2016, 13:30 to 17:00



Details

1.

Deep learning for natural language processing


Abstract (PDF)



Assoc. Prof. Dr. Hidekazu Yanagimoto

College of Sustainable System Science, Osaka Prefecture University,
1-1, Gakuen-cho, Naka-ku, Sakai, Osaka, Japan Email: hidekazu@kis.osakafu-u.ac.jp

URL: http://www.sig.cs.osakafu-u.ac.jp/~hidekazu/



Dr. Hidekazu Yanagimoto received B. Eng. degree, M. Eng. degree, and Dr. Eng. degree from Osaka Prefecture University, Japan in 1994, 1996, 2006, respectively. He worked in NEC Laboratory from April, 1996 to March, 2000. In April, 2000 he joined Osaka Prefecture University as research associate and currently as associate professor. He stayed Helsinki University of Technology as a visiting researcher from 2008 to 2009. His research interests are Natural Language Processing and Machine Learning.

3.

Introduction to Coalition Formation and its Application


Abstract (PDF)



Chattrakul Sombattheera

Mahasarakham University, Thailand
Email: chattrakul.s@msu.ac.th

URL: https://khamreang.msu.ac.th/~chatra/

Dr. Sombattheera received his PhD in 2010 from University of Wollongong, Australia. He received his Master of Information Technology in 1999 from University of Sydney, and Graduate Diploma (Computer Science) in 1996 from University of Western Australia. He received his Bachelor of Science (Computer Science) in 1992 from Ramkhamhaeng University, Thailand. At present, Dr. Sombattheera teaches at Faculty of Informatics, Mahasarakham University, Thailand and leads the Multiagent, Intelligence and Simulation Laborlatory. In the last five years, he has been working on challenging projects with Defense Institute of Thailand and AVIA Sat Com Ltd in attempts to bridge the gap between theoretical research and real world problems. In addition, he also undertake non-military projects in different areas, including composite services, logistics, intelligent web, etc., which apply coalition formation concept to tackle the problems.

3.

Collective Intelligence: Using Systems/Design Thinking Methods to Improve Group Intelligence


Abstract (PDF)



Jarun Ngamvirojcharoen and Komes Chandavimol

Data Science Thailand and Sertis Corporation
Email: jarun7@gmail.com and komes@datascienceth.com

URL: http://www.linkedin.com/in/jarun
URL: https://www.linkedin.com/in/komescha

Jarun Ngamvirojcharoen



Jarun recently joined Sertis Corporation as a Chief Data Scientist/Vice President of Data Innovation Lab. In his role at Sertis, he is building a data science team and is looking for Artificial Intelligence & Machine Learning research collaboration opportunities with universities in the Asian region. Prior to Sertis, he was a lead data scientist of Booz Allen Hamilton working in the area of fraud & ID Theft detection and predictive modeling. He has been developing a holistic framework incorporating data science, systems thinking, and design thinking for creative problem solving. He has been a guest speaker to some leading institutes in Thailand (e.g. NECTEC, Chulalongkorn University). Prior to Booz Allen, he was a Founder/CEO of a startup Crono building an Artificial Intelligence (AI) personal assistance for mobile services funded by an angel investor & National Science Foundation (NSF). He spent over 15 years in software, telecommunications, and financial services industries playing a number of different roles in management, system design, analytics, software development, and technology startup consulting. Educational highlights include MBA from Carnegie Mellon University, a Master of Science in Telecommunications from University of Pittsburgh, and Bachelor of Engineering in Electrical engineering from Chulalongkorn University. He is a Certified Professional Innovator-Practitioner-Design Thinking and a Certified Systemic Design Thinking and Facilitation.

Komes Chandavimol

(Data Science Thailand)



Komes is a Lead Data Scientist at the Data Science Lab, Thailand. This lab is part of the Data Science Community, where data professionals learn and share Data Science experience for the benefit of Data Science in Thailand. His lab is a place that academics meet practitioner and develop the practical data science products. Komes is currently lead concurrent data science projects (Proof-of-Concept) includes Market Basket Analysis, Propensity Model, Customer Segmentation, Sentimental Analysis, Real-time Steaming Analysis etc. In the US, Komes has worked with several healthcare clients to implement BI/Reporting systems. His clients include Kaiser Permanente, Cedar Sinai, University of Chicago Medical, Seattle Children Hospital, Yale health and Providence Health etc. His responsibilities not only focus on the system implementation but also the resource planning and team building. Lastly, Komes is also working on his Doctoral of Business Administration at University of Liverpool. His thesis is to improve virtual team performance by self-leadership and shared leadership. His thesis focus on action learning, which encourage team members to reflect on their thinking process as well as evaluate their actions. This action learning process is not only improve the team performance but also enhance individual productivity and self-learning as well.

4.

Visually See Text Mining Math Processes on LSA, SVD, and Gibbs Sampling


Abstract (PDF)



Prof. Yukari Shirota

(Gakushuin University)



DSc. Prof. of Faculty of Economics, Gakushuin University. Research fields are visualization of data on the web, data visualization, social media analysis, and visual education methods for business mathematics. For over 17 years, she has developed visual teaching materials for business mathematics and statistics. Various visual teaching material sites have been published on the web which are freely available as follows:
http://www-cc.gakushuin.ac.jp/~20010570/mathABC/SELECTED/
http://www.gakushuin.ac.jp/univ/eco/english/teacher/sirota.html
http://www-cc.gakushuin.ac.jp/~20010570/VDStat/
http://www-cc.gakushuin.ac.jp/~20010570/mathABC/ABC/



Basabi Chakraborty, Prof. and Ph. D

(Gakushuin University)



She received B.Tech, M.Tech and Ph. D degrees in Radio Physics and Electronics from Calcutta University, India and worked in Indian Statistical Institute, Calcutta, India until 1990. She received another Ph. D in Information Science from Tohoku University, Japan in 1996. Currently she is a full professor in Software and Information Science department of Iwate Prefectural University, Japan. Her main research interests are in the area of Pattern Recognition, Machine Learning, Soft Computing Techniques, Data mining and Online Social media mining. She is a senior member of IEEE, member of ACM, INNS and Japanese Society of Artificial Intelligence.



Takako Hashimoto, Prof. and Ph. D.

(Gakushuin University)



She received a Ph.D. in computer science, specialization in multimedia information processing, from the Graduate School of Systems and Information Engineering of University of Tsukuba in 2005. From April of 2009, she was involved in Chiba University of Commerce as Associate Professor. In 2015, she has become Professor of Chiba University of Commerce and stayed at University of California, Los Angeles as a visiting researcher. From 2016, she is Director of Economic Research at Chiba University of Commerce.She has focused on the data mining research and the social media analysis, especially topic extraction from millions of tweets related to the East Japan Great Earthquake. She is developing the high performance feature selection technique for big data. She’s also conducting global researches for developing the social media analysis platform in multi-language/cultural environment.