Ing. Nhut Hai Huynh

• Localized the joints of fingers after Hough-transform applied using Mean Shift, resulting in the over 90% accuracy rate over 412 testing images. • Localized the joints of knees, ankles and femurs by running Regression Tree Ensembles and Polynomial Regression. • Visualized testing data using Seaborn.

• Implemented Online Whiteboard for PC using C# WinForms, resulting in over 50 users in the same session. • Maintained and fixed bugs as customers report. • Develop the signature verification for online banking using Java, Python and Machine Learning, resulting in the over 90% accuracy rate over 100 signature patterns.

• Optimized boiler efficiency using data clustering and neural network, resulting in 1.0-1.48% increase in normal boiler load and average value 0.96% - 1.43%. • Implemented testing methods using WinForms.

• Analyzed interaction data and proposed methods to detect “hot” topics using statistical methods and social network interaction evaluation, resulting in obtaining trends within nearly 7 weeks, which were commonly concerned by 52/60 users (~86.67%). • Implemented Trend Detection Plugins using Social Engine and MySQL.

• Implemented chat P2P connection using TCP/IP protocol on Linux environment.

Machine Learning, Automatic Image Processing, Automatic Speech Processing, Pattern Recognition, Requirement Engineering, Advanced IT-Project Management, Scientific Studies

Data Mining, Information System Security, Analysis, Discrete Mathematics, Algebra, Data Structures & Algorithms, Software Testing, OOP, Calculus, Probabilities & Statistics, Computer Graphics, Software Engineering, Database Systems, Distributed Systems, Artificial Intelligence