Le Dinh Chien
MSc, Can Tho University
Address: Hong Phat Residential Area, An Binh Ward,
Ninh Kieu District, Can Tho City, Viet Nam
Website: chienle.dev
Tel: +84939722544
Email: chienktv90@gmail.com
MSc, Can Tho University
Address: Hong Phat Residential Area, An Binh Ward,
Ninh Kieu District, Can Tho City, Viet Nam
Website: chienle.dev
Tel: +84939722544
Email: chienktv90@gmail.com
I have been working as Mobile Web App Development in analysis, design, development over 6 years, which will contribute to the development of the company. My objective is a professional developer and can become a team leader/PM in the future.
IoT, Machine learning, Text mining and Mobile Web App Development
[Can Tho University Journal of Science]
Cow behaviour recognition using accelerometer and random forest algorithm. Le Dinh Chien, Le Van Lam, Tran Cong An. Can Tho University Journal of Science, 2017. [DOI: 10.22144/ctu.jsi.2017.011]
Elderly fall detection based on accelerometer and long short-term memory. Tran Cong An, Lu Minh Phuc, Do Thanh Duc, Ngo Ba Hung, Le Dinh Chien, Pham Thi Xuan Diem, Son Bup Pha, Nguyen Huu Van Long. Can Tho University Journal of Science, 2017. [DOI: 10.22144/ctu.jsi.2017.009]
Course mentor:
Web Development
C Programming