Hong – Nhung Nguyen received the B.S. degree in information technology and the master’s degree in software engineering from Hanoi National University (HVNU), Hanoi, Vietnam, in 2015 and 2018, respectively. In 2015, She spent nearly a year being an intern and working as a software engineer at NTT Data Vietnam. Since 2016, She works as a lecturer at the Faculty of Information Technology at Viet Tri industry University, Viet Nam. Currently, she is following the Ph.D. program in the IT Convergence Signal Processing Lab of Department of Electronic Engineering, Myongji University (MJU), Korea where she is advised by Prof. Yong-Hwa Kim. Her favorite research interests are machine learning and its applications in security and some applications of machine learning in software engineering.
Automation Software Testing
Machine Learning in Cyber Security
BS in Information Technology(2011), University of Engineering And Technology (UET), Vietnam National University,Hanoi(HVNU)
Title of Thesis: “Automation Testing with Sikuli”. Advisors Prof. Dr Truong Anh Hoang
MS in Software Engineering (2016), University of Engineering And Technology (UET), Vietnam National University,Hanoi(HVNU)
Title of Thesis: “The research on generating automation testing code based on Behavior Driven Testing Scenario”. Advisors Prof. Dr Truong Anh Hoang
Machine-Learning Based Anomaly Detection for GOOSE in Digital Substations, H. Nhung-Nguyen , M. Girdhar, Y.-H. Kim, and J. Hong, IEEE Trans. Smart Grid 2021 , under review.
Deep-Learning Based Post-Event Analysis in PowerSystems, Junho Hong, Yong-Hwa Kim, Hong Nhung-Nguyen , Jaerock Kwon, IEEE Access , under review
One-Shot Learning-Based Driver’s Head Movement Identification Using Millimeter-Wave Radar Sensor, Hong Nhung – Nguyen , Seongwook Lee, Tien Tung – Nguyen, Yong-Hwa Kim, IET radar, Sonar & Navigation, 2022
Performance Evaluation of Downlink Multiple Users NOMA-enable UAV-aided Communication Systems over Nakagami-m Fading Environments,Thu Thuy – Dao Thi, Sang Quang Nguyen, Hong Nhung – Nguyen , Phu Xuan Nguyen , Yong-Hwa Kim IEEE Access 2021.
Semi-Supervised GAN for Road Structure Recognition of Automotive FMCW Radar Systems, The Duong -Do , Hong Nhung-Nguyen , Duc Anh Pham, Yong-Hwa Kim, 2021 IEEE RIVF International Conference on Computing and Communication Technologies (RIVF) , Ha noi, Viet Nam