Artificial Intelligence Innovation Laboratory (AiiLAB)

กลุ่มวิจัยนวัตกรรมปัญญาประดิษฐ์

About Us

      Now the industry of Artificial Intelligence (AI) technology is growing and has a huge impact on both business and society. The increase in the use of AI has led to many transformations and developments in various industries. Make the organization change the way of doing business. method reform change the environment In order for organizations to run their own businesses and compete in the global economy, businesses need to adopt new technologies to cope with rapid technological changes and create new business opportunities. To help strengthen competitiveness and increase revenue

     Meanwhile, the demand for technology related to artificial intelligence to add value to businesses or to innovate to create wealth and stand for the country is constantly growing. But most university research has limitations, making it unable to be applied to businesses or to be developed into products. For this reason, the research team has the idea to set up an Artificial Intelligence Innovation Laboratory, a collaboration of researchers with AI expertise to research and develop artificial intelligence deep technologies and researchers at Specializes in the development and application of artificial intelligence technology to meet business needs and create innovative products as the name of the research group. “Artificial Intelligence Innovation Research Group” with the following operational goals:

  1. To research and develop a body of knowledge in artificial intelligence that can be developed into innovative products that help develop the country and improve people's quality of life.
  2. To create a research network in artificial intelligence technology
  3. To transfer knowledge to the students in order to develop students' physical potential and promote awareness and skills in artificial intelligence technology.
  4. To apply the developed artificial intelligence technology in order to the benefit of businesses and external agencies.

 


Kwankamon Dittakan, Ph.D. 

Tel: 076-276-000 Ext 6712

Email: kwankamon.d@phuket.psu.ac.th

Education

  • Doctor of Philosophy (PhD) in Computer Science, University of Liverpool, United Kingdom, 2016
  • Master of Science (M.Sc.) in Computer Science, Prince of Songkla University, Thailand, 2007
  • Bachelor of Science (B.Sc.) in Computer Science, Prince of Songkla University, Thailand, 2001

Research Interest

Artificial Intelligence, Data Science, Machine Learning, Data Mining, Image Analysis 

Korawit Prutsachainimmit, Ph.D.

Tel: 076-276-000 Ext 6733

Email: korawit.p@phuket.psu.ac.th 

 

Education 

  • Doctor of Philosophy (PhD) in Computer Science, Tokyo Institute of Technology, Tokyo, JAPAN, April 2016 
  • Master of Engineer in Computer Science, Tokyo Institute of Technology, Tokyo, JAPAN, April 2012
  • Bachelor of Science (B.Sc.) in Computer Science, Prince of Songkla University, Songkhla, Thailand, March 1998

Research Interest

Software Engineering, Mobile Computing, Web Engineering, Internet of Things

Monchanok Thongthep

Tel: 076-276-000 Ext 6136

Email: monchanok.t@phuket.psu.ac.th 

Education

  • Master of Science (M.Sc.) in Computational, Chulalongkorn University, Thailand, 2002
  • Bachelor of Science (B.Sc.) in Mathematics, Mahidol University, University, Thailand, 1998

Research Interest

Web Programming, System Analysis,  System Design

1. International Journals

  • Sophal Chan, Kwankamon Dittakan and Matias Garcia-Constantino, Image Texture Analysis for Medical Image Mining: A comparative study direct to   Osteoarthritis Classification using Knee X-ray Image, International Journal on Advanced Science, Engineering and Information Technology, Vol 10, No 6, 2020, pp2189-2199. (Indexed in Scopus, CiteScore: 1.31, Quartile 2).
  • Sophal Chan, Kwankamon Dittakan and Subhieh El Salhi, Osteoarthritis detection by Applying Quad-tree Analysis to Human Joint Knee X-ray imagery, International Journal of Computers and Applications, Taylor & Francis, 2020, pp 1-8. (Indexed in Scopus, CiteScore: 1.3, Quartile
  • Sujittra Sa-ngiem, Kwankamon Dittakan, Kanya Temkiatvises, Sirisak Yaisoongnern and Kongkiat Kespechara, Cerebral Microbleed Detection by Extracting Area and Number from Susceptibility Weighted Imagery using Convolutional Neural Network, May 2019, Journal of Physics: Conference Series, Volume 1229, pp 012038. (Indexed in Scopus, CiteScore: 0.7). DOI: 10.1088/1742-6596/1229/1/012038

2. National Journals

  • Tassanee Hattiya, Kwankamon Dittakan, and Salang Musikasuwan, Diabetic Retinopathy Detection using Convolutional Neural Network: A Comparative Study on Different Architectures, Accepted to publish in Mahasarakham International Journal of Engineering Technology. (Indexed in TCI Tier 2),

3. International Conference 

  • Kwankmaon Dittakan, Nawanol Theera-Ampornpunt, Pum-Riang Thai Silk Pattern Classification Using Texture Analysis. Proceedings of the Pacific Rim International Conferences on Artificial Intelligence (PRICAI). Nanjing, China. Page: 82-90. August 28-31, 2018, Springer's Lecture Notes in Artificial Intelligence: Volume 11012.
  • Kwankmaon Dittakan, Nawanol Theera-Ampornpunt and Pattaporn Boodliam, Non-destructive Grading of Pattavia Pineapple using Texture Analysis, Wireless Personal Multimedia Communications 2018 (WPMC'18), Chiang Rai, Thailand, 25-28 November 2018, pp 144-149. IEEE 2018.
  • Sophal Chan and Kwankamon Dittakan, Osteoarthritis Stages Classification to Human Joint Imagery using Texture Analysis: A Comparative Study on Ten Texture Descriptors, The Second International Conference on Recent Trends in Image Processing & Pattern Recognition (rtip2r 2018), Solapur, Maharastra State, India, 21-22 December 2018. Springer's Lecture Notes in  Communications in Computer and Information Science: Volume 1036.
  • Kwankamon Dittakan, Nawanol Theera-Ampornpunt, Waraphon Witthayarat, Sararat Hinnoy, Supawit Klaiwan, and Thunyathorn Pratheep, Banana Cultivar Classification using Scale Invariant Shape Analysis. Proceedings of the 2nd International Conference on Information Technology (InCIT 2017). Nakhon Pathom, Thailand, 2-3 November 2017, Page: 171-176.  IEEE 2017.
  • Kwankamon Dittakan, Frans Coenen, Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery, The 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016), Phuket, Thailand, 22-26 August 2016, Page: 93-105., Springer's Lecture Notes in Artificial Intelligence, volume 9810.
  • Korawit Prutsachainimmit, Tinakarn Janthong and Wanatip Tuanropi. “A Development of Inpatient Monitoring System: A Case Study of Patong Hospital, Phuket, Thailand.” The 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2020), 2020.
  • Korawit Prutsachainimmit,  Thosalpol Hemna and Udom Nakaew. “Prototype Development of Smart Locker System for Collaborative Used.” 41st   Electrical Engineering Conference (EECON-41), 2018.
  • Korawit Prutsachainimmit,  and Winai Nadee. "Towards data extraction of dynamic content from JavaScript Web applications." Information Networking (ICOIN), 2018 International Conference on. IEEE, 2018.
  • Adisak Intana, Monchanok Thongthep, Phatcharee Thepnimit, Phaplak Saethapan and Tanawat Monpipat, "SYNTest: Prototype of Syntax Test Case Generation Tool," 2020 - 5th International Conference on Information Technology (InCIT), Chonburi, Thailand, 2020, pp. 259-264, DOI: 10.1109/InCIT50588.2020.9310968.

4. National Conference 

  • ขวัญกมล ดิฐกัญจน์, ณัฎฐ์นรี นวลนิ่ม, ฐิติภรณ์ สว่างวงศ์​และ ธัญธร ประทีม. 2560. การนับเม็ดยาต่างขนาดและรูปร่างด้วยเทคนิคการประมวลผลภาพ, การประชุมวิชาการระดับประเทศด้านเทคโนโลยีสารสนเทศ (National Conference on Information Technology) ครั้งที่ 9, ศาลายา, นครปฐม. หน้า 51-56. 1 - 2 พฤศจิกายน พ.ศ. 2560

5. Others 

  • Frans Coenen and Kwankamon Dittakan, Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection, Knowledge Discovery, Knowledge Engineering and Knowledge Management, Springer Communications in Computer and Information Science 914, pp3-27.

MASTER STUDENTS

Mr Kahabodee Prakobchat

Vehicle Physical Appearance Identification using Convolutional Neural Network

Master of Science in Data Science

College of Digital Sciences, Prince of Songkla University, 2021-present

Ms Tassanee Hatthiya

DRDNet The development of convolutional neural network architecture for diabetic retinopathy detection using retina imagery

Master of Science in Information Technology,

College of Computing, Prince of Songkla University, 2018- 2021

 

Mrs Sujittra Sa-ngiem

Cerebral Microbleed Detection by Extracting Area and Number from Susceptibility Weighted Imagery using Convolutional Neural Network

Master of Science in Information Technology,

College of Computing, Prince of Songkla University, 2017- 2019

 

Mr Sophal Chan

Early Detection of Osteoarthritis Stage by Applying Classification Technique to Human Joint imagery 

Master of Science in Information Technology,

College of Computing, Prince of Songkla University, 2016-2020

 

Ph.D. STUDENTS

 

Mrs Sujittra Sangiem

The Development of Convolutional Neural Network Architecture for Road Surface Condition Detection Using Video and Sensor Data

Doctor of Philosophy in Data Science

College of Digital Sciences, Prince of Songkla University, 2020-present

 

Mr Sophal Chan

The Development of Deep Learning Architecture for Abnormal Mitral Valve Detection using the heart sound

Doctor of Philosophy in Data Science

College of Digital Sciences, Prince of Songkla University, 2020-present

 

Mr Mathus Teppaitoon

Intelligent Relighting of Portrait Imagery in Virtual Video Production Using Machine Learning

Doctor of Philosophy in Data Science

College of Digital Sciences, Prince of Songkla University, 2021-present

  • โครงการระบบสอดส่องคุณภาพพื้นผิวจราจรโดย Machine Learning ด้วยข้อมูลจาก sensor ในยานพาหนะผ่านโครงข่าย IoT  ได้รับทุนจาก กองทุนวิจัยและพัฒนากิจการกระจายเสียง กิจการโทรทัศน์ และกิจการโทรคมนาคม เพื่อประโยชน์สาธารณะ ปี 2563 ระยะเวลา 18 เดือน งบประมาณ 7,856,689 บาท
  • โครงการการวิเคราะห์กิจกรรมของนักท่องเที่ยวโดยใช้ข้อมูลอินสตาแกรม : กรณีศึกษาจังหวัดภูเก็ต หน่วยบริหารและจัดการทุนด้านการพัฒนากำลังคน และทุนด้านการพัฒนาสถาบันอุดมศึกษา การวิจัยและการสร้างนวัตกรรม (บพค.) รับจากทุนนักวิจัยใหม่ วท. ระยะเวลา 12 เดือน งบประมาณที่ได้รับ  250,000
  • โครงการตู้ล็อกเกอร์อัจฉริยะสําหรับป้องกันการติดเชื้อและส่งเสริมการเว้น ระยะห่างระหว่างบุคคล ได้รับทุนจากทุนโครงการวิจัยและนวัตกรรม ประจําปีงบประมาณ 2563 วิทยาลัยการคอมพิวเตอร์  ระยะเวลา 12 เดือน งบประมาณ 100,000 บาท