A9-1502
tram.nguyenthikhanh@phenikaa-uni.edu.vn
NGUYEN THI KHANH TRAM
Lecturer
  • M.Sc. (Computer Science University of Egineering and Technology, Hanoi National University, 2021-2023)
  • B.Sc. (Information Technology People’s Security Academy, 2016-2020)

Ms. Nguyen Thi Khanh Tram is a Lecturer at Phenikaa University, where she has served since 2023, following her role as a STEAM teacher at Phenikaa School. With a strong academic foundation in computer science and information security, she integrates emerging technologies such as deep learning and distributed trust frameworks into her research and teaching.

Her research focuses on object detection using advanced neural architectures and cybersecurity in online social platforms. She has co-authored several papers in leading Vietnamese and international conferences and is an active reviewer and contributor to computing education outreach. Ms. Tram has received prestigious scholarships from VINIF and Toshiba and is committed to fostering student awareness of privacy and AI ethics.

RESEARCH INTERESTS

  • Deep Learning for Object Detection

  • Cybersecurity and Trust Frameworks

  • AI and Privacy Awareness in Education

  • Social Network Analysis

SELECTED PUBLICATIONS

  • Tram K.T.Nguyen, Son T.Doan, Anh V.Thai, Weapon Detection using Deep Learning, Symposium On Information and Communication Technology (SoICT), 2023
  • Son T.Doan, Tram K.T. Nguyen, Anh V.Thai, Swin Transformer for Weapon Detection, Advanced Technologies for Communications (ATC), 2023.
  • Tram K.T. Nguyen, Son T.Doan, Weapon Detection with YOLO Model Version 5,7,8, Conference on Information Technology and ITs Application (CITA), 2023.
  • Tram K.T. Nguyen, Son T.Doan, A distributed trust framework for online social network, International Conference on Intelligent Systems & Networks (ICISN), 2023.

PROFESSIONAL CERTIFICATIONS

  • Certificate of Pedagogical Training for Lecturers at University and College.

COURSES TAUGHT

  • CSE703004 – Information Security
  • CSE702005 – Application System and Security