Worawat Lawanont

PhD, Functional Control System, Engineering, Shibaura Institute of Technology, Japan

MSc, System Engineering, Shibaura Institute of Technology, Japan

MSc, Computer Science, King Mongkut's University of Technology Thonburi, Thailand

BSc, Information Technology, King Mongkut's University of Technology Thonburi, Thailand

ดร.วรวัฒน์ ลวนนท์

 

Phone: 

044-223566

 

Fax: 

044-224494

 

E-mail:

worawat.law@sut.ac.th

worawat.law@g.sut.ac.th

Refereed International Journal Publications

Lawanont, W., Inoue, M., Mongkolnam, P., & Nukoolkit, C. (2018). Neck Posture Monitoring System Based on Image Detection and Smartphone Sensors Using The Prolonged Usage Classification Concept. IEEJ Transactions on Electrical and Electronic Engineering, (Vol. 13, No. 10, pp. 1501-1510).

 

Refereed International Conferences

  1. Kitpo, N., Lawanont, W., Kongwat, S., Hirabayashi, Takara,  H, Hasegawat, H., and Inoue, M. (2019, September).  Learning Outcomes of Global Project Based Learning Based on Activities Conducted by Teaching Assistant. In JSEE Annual Conference 2019 (pp. 1-6).

  2. Lawanont, W., Mongkolnam, P., Nukoolkit, C., Inoue, M., Yokemura, T. (2019, January) Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being. In 2019 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-6). IEEE

  3. Lawanont, W., Mongkolnam, P., Nukoolkit, C., & Inoue, M. (2018, June). Daily Stress Recognition System Using Activity Tracker and Smartphone Based on Physical Activity and Heart Rate Data. In International Conference on Intelligent Decision Technologies (Vol. 97, pp. 11-21). Springer, Cham.

  4. Lawanont, W., & Inoue, M. (2018, January). An Unsupervised Learning Method for Perceived Stress Level Recognition Based on Office Working Behavior. In 2018 International Conference on Electronics, Information, and Communication (ICEIC) (pp. 1-4). IEEE

  5. Lawanont, W., & Inoue, M. (2017, June). A Development of Classification Model for Smartphone Addiction Recognition System Based on Smartphone Usage Data. In International Conference on Intelligent Decision Technologies (pp. 3-12). Springer, Cham.

  6. Lawanont, W., & Inoue, M. (2017, March). A Development of Healthcare System Architecture with Customizability and Reusability for Smartphone Addiction Recognition System. In 11th South East Asian Technical University Consortium Symposium (11th SEATUC). (pp. 1-7)

  7. Lawanont, W., Mongkolnam, P., Nukoolkit, C., & Inoue, M. (2016, February). A comparison between two image detection algorithms on neck angle detection and a prolonged usage classification concept. In 10th South East Asian Technical University Consortium Symposium (10th SEATUC). (pp. 1-4)

  8. Lawanont, W., Mongkolnam, P., & Nukoolkit, C. (2015, July). Smartphone posture monitoring system to prevent unhealthy neck postures. In Computer Science and Software Engineering (JCSSE), 2015 12th International Joint Conference on (pp. 331-336). IEEE.

 

RESEARCH INTEREST

  • Machine Learning/Deep Learning Application

  • Computer Vision

  • IoT Application

  • Industrial Automation

  • Educational Technology

  • Active Learning

Teaching: 

  • Internet of Things

  • Computer Vision

  • Introduction to Robotics

School of Manufacturing Engineering, 111 Suranaree University of Technology, University Avenue, Muang District, Nakhon Ratchasima 30000 THAILAND

สาขาวิชาวิศวกรรมการผลิต 111 มหาวิทยาลัยเทคโนโลยีสุรนารี ถ.มหาวิทยาลัย อ.เมือง จ.นครราชสีมา 30000

  • Facebook Social Icon
  • YouTube Social  Icon