Hoang Van Hiep

Deputy Head, Computer Center
Lecturer, Department Of Computer Engineering

Ph.D. (Computer Science, Shibaura Institute of Technology, Japan, 2014)
M.S. (Hanoi University of Science and Technology, 2011)
Eng. (Hanoi University of Science and Technology, 2007)

Email: hiephv@soict.hust.edu.vn

• GNSS technology
• Peer-to-Peer traffic control
• Embedded system, IOT

• GNSS software define receiver
• Precise positioning
• Ionospheric monitoring
• Peer-to-peer traffic localization

Dr. Hoang Van Hiep is a Lecturer of Computer Engineering at the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology. He received his Ph.D. in computer science in 2014 from Shibaura Institute of Technology, Japan. His current research interests focus on GNSS signal processing, Peer-to-peer communication technology. Up to now, Hiep has been publishing several research articles in international journals and conference proceedings.

• Hiep Van Hoang, Hieu Quang Pham, Hien Van Nguyen, Thuan Dinh Nguyen, Vinh The La, Tung Hai Ta, Hung Ngoc Pham. “Enhancing GNSS Spoofing Detection by Carrier-Smoothing Pseudorange Double Difference Measurements” GPS Solutions, 2025. DOI: https://link.springer.com/article/10.1007/s10291-025-01945-2
• Pham Hieu Q., Hoang Hiep V., La Vinh T., Pham Hung N., Ta Tung H., Nong Huy D., Nguyen Thuan D. “Advanced GNSS Spoofing Mitigation: A Gaussian Mixture Model Approach Based on Carrier Phase Double Differences” 2025 International Conference on Computer Systems and Technologies (CompSysTech), 2025. DOI: https://ieeexplore.ieee.org/document/11137161/
• Nguyen Thuan D., Le Bao T., Hoang Hiep V., La Vinh T., Pham Hung N., Ta Tung H. “Deep Learning-Based GNSS Jamming Classification Using Simulation-Generated Data and Time-Frequency Analysis” 2025 International Conference on Computer Systems and Technologies (CompSysTech), 2025. DOI: https://ieeexplore.ieee.org/document/11137125/
• La The Vinh, Van Hien Nguyen, Hiep Hoang Van, Thuan Nguyen Dinh, Pham Ngoc Hung and Tung Hai Ta Lã Thế Vinh Tạ Hải Tùng. “GMM-based GNSS spoofing detector using double differential phase measurement.” Measurement Science and Technology, 2024. DOI: https://iopscience.iop.org/article/10.1088/1361-6501/ad1eb1
• Thuan Nguyen Dinh, Truong Trinh Huu, Hien Nguyen Van, Vinh La The, Hung Pham Ngoc, Tung Ta Hai and Hiep Hoang-Van Nguyễn Đình Thuận Hoàng Văn Hiệp. “A Method to Build Feature Descriptor for GNSS Spoofing Detection by Carrier Phase Double Difference Measurement.” Measurement Science and Technology, 2024. DOI: https://iopscience.iop.org/article/10.1088/1361-6501/ad34f2
• Le Duc Thuan, Pham Van Huong, Hoang Van Hiep, Nguyen Kim Khanh (2022). Applying Wide & Deep Learning Model for Android Malware Classification. Computer Systems Science and Engineering 2023, 120 1763-1773
• Thuan Le Duc, Huong Pham Van, Hiep Hoang Van, Khanh Nguyen Kim (2022). Feature selection based on popularity and value contrast for Android malware classification. The 14th IEEE International Conference on Knowledge and Systems Engineering (KSE 2022), 1-7
• 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), 1-7.
• Le Duc Thuan, Hoang Van Hiep*, Nguyen Kim Khanh (2022). Android Malware Classification Using Deep Learning CNN with Co-occurrence Matrix Feature. Tạp chí khoa học và công nghệ các trường đại học kỹ thuật, 31.1 9-16
• Nguyen Van Hien, Nguyen Dinh Thuan, Hoang Van Hiep, La The Vinh (2020). A Gaussian Mixture Model Based GNSS Spoofing Detector using Double Difference of Carrier Phase. Journal of Science and Technology of Technical Universities, Vol. 144 (2020), 42-47.

• Osamu Omoto scholarship, 2014
• Best student award, 2014

• IT4160: Micro Processor
• IT4099: Image processing
• IT3280: Labs on Computer architecture
• IT1110: Introduction to IT

• Cash delivery car tracking for Banks
• School bus route optimization and tracking