Nguyen Thi Hong Nhung

Research scientist in machine learning and cyber security .

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PERSONAL PROFILE

    Hong-Nhung Nguyen received a B.S. degree in information technology and a 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. She completed her D.Phil from the Infomation Technology Convergence lab in the Department of Electronic Engineering, Myongji University (MJU), Korea. Currently, she works as an assistant professor at the Faculty of AI and Engineering (AI major) at Gachon University. Her favorite research interests are machine learning and its applications in security and some applications of machine learning in software engineering.

RESEARCH INTERESTS

  • Automation Software Testing
  • Web & Mobile app technology
  • Artificial Intelligence
  • Machine Learning in Cyber Security

EDUCATION

  • BS in Information Technology(2011), University of Engineering And Technology (UET), Vietnam National University,Hanoi(HVNU)
  • Title of Thesis: “Automation Testing with Sikuli”.
  • Thesis advisors: Prof. Dr. Hoang T. Anh
  • 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”.
  • Thesis advisors: Prof. Dr. Hoang T. Anh
  • PhD in Electronics Engineering(2020), MyongJi University, South Korea
  • Title of Thesis: “Artificial Intelligence in Cyber Security for Smart Grid”.
  • Thesis advisors: Prof. Dr. Yong H. Kim and Prof. D. -S. Seo

PUBLICATIONS

  • Detection of ransomware attacks using federated learning based on the CNN model Hong Nhung - Nguyen ,Ha - Thanh Nguyen, Damien Lescos (2024) preprint, 10.48550/arXiv.2405.00418
  • DDoS attack detection and mitigation using deep neural network in SDN environment, Vanlalruata Hnamte, Ashfaq Ahmad Najar Hong Nhung - Nguyen , Jamal HussainYong, Manohar Naik S Computers & Security (ISI) . (2023)
  • A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE Vanlalruata Hnamte, Hong Nhung - Nguyen , Jamal HussainYong, Yong-Hwa Kim IEEE Access (ISI) . (2023)
  • Deep-Learning Based Post-Event Analysis in PowerSystems, Junho Hong, Yong-Hwa Kim, Hong Nhung-Nguyen , Jaerock Kwon, Energy, ISSN 1996-1073 (ISI). (2022)
  • A deep neural network to identify Vacuum Degree based on Partial Discharge Measurement Hong Nhung-Nguyen ,Young-Woo Youn, Yong-Hwa Kim, IEEE Access ISSN 2169-3536 (ISI). (2022)
  • 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, ISSN 1751-8792 (ISI). (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 ISSN 2169-3536 (ISI). (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