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
อาจารย์ ดร.วรวัฒน์ ลวนนท์
Phone:
044-223566
Fax:
044-224494
E-mail:
Worawat.Law@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
- 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).
- 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
- 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.
- 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
- 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.
- 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)
- 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)
- 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