Nguyen Kim Khanh
Senior Lecturer
Department of Computer Engineering
Ph.D. (Computer Engineering, Belarusian State University, 1991)
Eng. (Hanoi University of Science and Technology, 1985)
Email: khanhnk@soict.hust.edu.vn; khanh.nguyenkim@hust.edu.vn
Web: https://soict.hust.edu.vn/en/ph-d-nguyen-kim-khanh.html
Research Areas
- Embedded Systems and robot
- AIoT
- High Performance Computing
- Signal Processing
Research Interests
- Smart Embedded Systems and Internet of Things
- High Performance Computing
- Speech Signal Processing
Profile
Dr. Nguyen Kim Khanh graduated engineer in Electronics Engineering in 1985 at the Hanoi University of Science and Technology and received PhD in Computer Engineering at the Belarusian State University in 1991. Currently he is Head of Department of Computer Engineering, School of Information and Communication Technology, Hanoi University of Science and Technology.
Publications
- Le Duc Thuan, Pham Van Huong, Hoang Van Hiep, Nguyen Kim Khanh (2023), “Applying Wide & Deep Learning Model for Android Malware Classification”, Computer Systems Science and Engineering journal, vol. 45, no. 3, pp. 2741-2759.
- Le Duc Thuan, Pham Van Huong, Hoang Van Hiep, Nguyen Kim Khanh (2022), “Feature selection based on popularity and value contrast for Android malware classification”, in International Conference on KNOWLEDGE AND SYSTEMS ENGINEERING, Nha Trang, Viet Nam, pp. 1-7.
- Le Duc Thuan, Pham Van Huong, Hoang Van Hiep, Nguyen Kim Khanh (2022), “A new approach in distributed learning model applying malware classification on Android flatform”, in International Conference on Fundamental And Applied IT Research (FAIR’2022), pp. 111-119.
- Le Duc Thuan, Hoang Van Hiep, Nguyen Kim Khanh (2021), “Android Malware classification using deep learning CNN with Co-occurrance matrix feature”, Journal of Science and Technology Technical Universities, vol. 31.1, pp. 9-16.
- Nguyen Thi Thanh Nga, Nguyen Kim Khanh (2021) – ECODA – Entropy Correlation Based Data Aggregation Protocol For Wireless Sensor Networks, GMSARN International Journal 15 (2021) 103 – 112
- Le Duc Thuan, Pham Van Huong, Hoang Van Hiep, Nguyen Kim Khanh (2020) -Improvement of feature set based on Apriori algorithm in Android malware classification using machine learning method – 2020 RIVF International Conference on Computing and Communication Technologies (RIVF).
- Le Duc Thuan, Pham van Huong, Le Thi Hong Van, Hoang Quoc Cuong, Hoang Van Hiep, Nguyen Kim Khanh (2019), “Android malware detection based on deep learning using convolutional neural network”, Journal of Military Science and Technology Research, pp. 32-41.
Teaching
- IT2000: Introduction to Information and Communication Technology
- IT3030, IT3283: Computer Architecture
- IT6030: Advanced Computer Architecture
