Hi!, I'm Savath Saypadith
Hi!, I'm Savath Saypadith
CEO and Founder, Laligence.ai.
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Doctor's degree (2019 - 2022) at Graduate School of Information Science and Technology, Osaka University (OU). Thesis Title: A Study on Anomaly Detection in Surveillance Video using Generative Adversarial Network.
Master's degree (2016-2018) at Department of Electrical Engineering, Chulalongkorn University (CU). Thesis Title: Multiple Face Detection and Recognition on Embedded Computer Vision System.
Bachelor's degree (2010-2015) at Department of Computer Engineering and Information Technology, Faculty of Engineering, National University of Laos(NUOL). Thesis title: GExam Android Application for Online Examinations.
Lecturer (2015-2024) at Department of Computer Engineering and IT, Faculty of Engineering, National University of Laos.
Skill: Python, Java, C/C++, PHP, SQL, GraphQL, Android, Flutter, IoT, Tensorflow.
Professional Development: Agile Project Management (Scrum).
Research Interest: Computer Vision, Image processing, Machine learning, AI, and Deep Learning.
Contacts
Contacts
Email: savath [at] laligence.ai
Email2: saypadith [at] fe-nuol.edu.la
Email3: mr.saypadith [at] gmail.com
YT: Faculty of Engineering - IoT - Lab (NUOL), Savath Saypadith [1][2]
"Talk less, Do MORE"
"Talk less, Do MORE"
Training
Training
Agile Crash Course: Agile Project Management; Agile Delivery - Udemy (certified)
Developed Application called "Lao SOS" - 2020 - Powered by Wayha Technology Co.,Ltd
REST APIs with Python, Flask, Flask-RESTful, and Flask-SQLAlchemy - Udemy (certified)
Deep Learning A-Z™: Hands-On Artificial Neural Networks - Udemy (certified)
2019 - IoTcloudServe@TEIN - Collaboration Workshop "Smart Agriculture And Communities For Laos By NETPIE"
PARE Summer School under the Graduate Program for Foresting Frontiers of Practical Solutions in a Populations-Activities-Resources-Environments (PARE) Chain, August 2017, Hokkaido University, Hokkaido, Japan.
Internship with PCSP Group Co, Ltd. as a programmer - July 2015 - Develop Mobile Application using ionic framework + AngularJS, PHP Api function using apigility. Phnom Penh, Cambodia.
Study Jam Fundamental - 2015 - GDGVientiane, Laos
Developed Application called "Laos Emergency Call" - 2014 - GDGVientiane, Laos
Linux Networking and Server Administrator - June - October 2010 - Cosco IT Training Center, Vientiane Laos
Achievements and Volunteers
Achievements and Volunteers
2019-2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) - TCP Committee
The 10th International Conference on Internet (ICONI) 2018 - Session chairperson
AWS Hackdays - July 2018. A member of the VTRG team from Chulalongkorn University. Bangkok Thailand.
Electrical Engineering Postgraduate Student Assemble (EEPSA) - 2017. a volunteer and participation. Chulalongkorn University, Thailand.
International Dancing Robot Contest March 2016 - Lead a robot team of Faculty of Engineering, NUOL, Top 10 achievement. Ho Chi Minh, Vietnam.
Bosch Innovation House/Hackathon - September 2017. A member of the VTRG Team. Won the 3rd runner-up. Bangkok, Thailand.
Robot Contest in Laos- Member (2012-2014) and Lead the robot team of computer engineering and IT department, Faculty of Engineering, NUOL and won the 1st prize in 2015. Vientiane, Laos.
The 2015 ACM-ICPC Asia Phuket Regional Contest - Coach a team of the National University of Laos. Phuket, Thailand.
The ASEAN Quiz Competition 2013 - January 2013, a representative of the National University of Laos. Rajamagala University of Technology Thanyaburi, Pathumthani, Thailand.
The activity of raising environmental awareness for children in Vangvieng 15-17 December 2012- Volunteer. the collaboration between the student of the Faculty of Engineering, NUOL, and SUSI 2012. Vangvieng Laos
Publications
Publications
phetvilai, sithong, SAYPADITH, S., & KHIEOVONGPHACHANH, V. (2025). Comparative Analysis of Logistic Regression and Random Forest Models for Customer Churn Prediction in Laos. Souphanouvong University Journal Multidisciplinary Research and Development, 11(03), 01–10. https://doi.org/10.69692/SUJMRD110301
MOUNIVONG, maleny, & SAYPADITH, S. (2025). The Study of Using Fuzzy Logic for Improving Landslide Early Warning Accuracy. Souphanouvong University Journal Multidisciplinary Research and Development, 11(2), 154–165. https://doi.org/10.69692/SUJMRD1102154
Khieovongphachanh, V., Sounakhen, K., Saypadith, S., Mekthanavanh, V., Luangxaysana, K., & Chanthavong, X. (2023). Enhancing Lao Vehicle License Plate Recognition through jTessBoxEditor and Tesseract Optical Character Recognition (OCR). Souphanouvong University Journal Multidisciplinary Research and Development, 9(4), 239-250.
Saypadith, S., & Onoye, T. (2022). Joint Representation Learning for Video Anomaly Detection. In 2022 IEEE International Symposium on Circuits and Systems (ISCAS) .
Saypadith, S., Detvongsa, S., & Onoye, T. (2022, October). Joint Generative Network for Abnormal Event Detection in Surveillance Videos. In 2022 19th International SoC Design Conference (ISOCC) (pp. 199-200). IEEE.
Saypadith, S., & Onoye, T. (2021) Abnormal Event Detection using Joint Spatiotemporal Learning. In The 14th Regional Conference on Electrical and Electronics Engineering (RC-EEE).
Saypadith, S., & Onoye, T. (2021). An Approach to Detect Anomaly in Video Using Deep Generative Network. IEEE Access, 9, 150903-150910. read more...
Saypadith, S., & Onoye, T. (2021, May). Video Anomaly Detection based on Deep Generative Network. In 2021 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5). IEEE.
Vilaysouk, Xaysackda, Savath Saypadith, and Seiji Hashimoto. "Semisupervised machine learning classification framework for material intensity parameters of residential buildings." Journal of Industrial Ecology 26.1 (2022): 72-87.
Bounnady, K., Sibounnavong, P., Chanthavong, K., & Saypadith, S. (2019, July). Smart Crop Cultivation Monitoring System by Using IoT. In 2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST) (pp. 1-3). IEEE. [pdf]
Saypadith, S., & Aramvith, S. (2018, November). Real-Time Multiple Face Recognition using Deep Learning on Embedded GPU System. In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 1318-1324). IEEE.
Saypadith, S., Ruangsang, W., & Aramvith, S. (2017, December). Optimized human detection on the embedded computer vision system. In 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 1707-1711). IEEE.
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