Publications

UNDER REVIEW OR ACCEPTED

[32] Phuc Hao Do, Van Nam Hoang, Truc Thi Kim Nguyen, Nguyen Nang Hung Van. PFR-ViT: A Polynomial Feature Representation-Enhanced Vision Transformer for Medical Data Classification. IEEE Journal of Biomedical and Health Informatics (JBHI), 2025. (Under review)

[31] Phuc Hao DO, Tran Duc LE, Van Nam HOANG, Nguyen Nang Hung VAN. Noise-Injected Multi-Head Attention for Robust Medical Image Classification. Informatica Journal, 2025. (Under review)

[30] Nguyen, Nang Hung Van, Do, Phuc Hao, Le, Tran Duc, Ngo, Van Uc, Dinh, Truong Duy, Pham, Van Dai. Comparative Performance of Deep Learning Models in Detecting Invasive Ductal Carcinoma. In The International Conference on Big data, IoT, and Cloud computing (BIC 2024), 2024. (Accepted)

2025

[29] Do, Phuc Hao, Le, Tran Duc, Berezkin, Aleksandr, Kirichek, Ruslan. Optimizing Resource Allocation for Multi-beam Satellites Using Genetic Algorithm Variations. In 27th Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN2024), Springer, Cham, 16-29, 2025.

[28] Do, Phuc Hao, Le, Tran Duc, Berezkin, Aleksandr, Kirichek, Ruslan. ST-GNN-Powered Compression for Latency Reduction in Hybrid Satellite-Terrestrial Networks. In 2024 8th International Conference on Information, Control, and Communication Technologies (ICCT), IEEE, 1-10, 2025.

[27] Do, Phuc Hao, Le, Tran Duc, Dinh, Truong Duy, Pham, Van Dai. Classifying IoT Botnet Attacks with Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations. IEEE Access, Vol. 13, 16072 - 16093, 2025. **(SCIE Q1, IF = 3.4) **

2024

[26] Tran, Thanh Liem, Do, Phuc Hao, Pham, Van Dai, Abdelhamied, A. Ateya, Le, Tran Duc. Investigating the Effectiveness of Different GNN Models for IoT-Healthcare Systems Botnet Traffic Classification. Secure Health: A Guide to Cybersecurity for Healthcare Managers, Taylor & Francis, Oct. 2024. (In press)

[25] Berezkin A.A., Phuc H.Do., Kirichek R.V, Zaharov A.A. Analysis of ultra-high resolution neural network models in the UAV video stream compression system. Электросвязь, 35-43, 2024.

[24] Nguyen Nang Hung Van, Ho Le Minh Nhat, Vo Duc Hoang, Do Phuc Hao. Transforming enrollment advising in education with deep learning models and chatbots, Kỷ yếu Hội nghị KHCN Quốc gia lần thứ XIV về Nghiên cứu cơ bản và ứng dụng Công nghệ thông tin (FAIR), 2023

[23] Do, Phuc Hao, Pham, Van Quan, Le, Tran Duc, Dinh, Truong Duy, Nguyen, Nang Hung Van, Pham, Minh Tuan. Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis. In The 2023 RIVF International Conference on Computing and Communication Technologies, IEEE, 452-457, 2024.

[22] Do, Phuc Hao, Le, Tran Duc, Vishnevsky, Vladimir, Berezkin, Aleksandr, Kirichek, Ruslan. A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset. ICACT-Transactions on Advanced Communications Technology (TACT), IEEE, Vol. 12, Issue 3, 1494-1506, 2024.

2023

[21] Berezkin A.A, Phuc H.Do, Tran D.Le, Kirichek R.V A comparative analysis of diffusion-based super-resolution techniques in a video stream compression system in FPV control of unmanned systems. Труды научно-исследовательского института радио, 26-39, 2023.

[20] Le, Tran Duc, Do, Phuc Hao, Nguyen, Duc Tai, Phung, Van Thang, Nguyen, Cong Danh, Dinh, Truong Duy. Federated Learning for Linux Malware Detection: An Experimental Study. EAI/Springer Innovations in Communication and Computing. Springer, Cham., 63-75, 2023.

[19] Truong, Cong Khoa, Do, Phuc Hao, Le, Tran Duc. A Comparative Analysis of E-mail Phishing Detection Methods: A Deep Learning Perspective. Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications, Institution of Engineering and Technology (IET), 149–174, 2023.

[18] Nguyen, Nang Hung Van, Do, Phuc Hao, Hoang, Van Nam, Borodko, Aleksandr, Le, Tran Duc. Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences. In Proceedings of the 12th International Symposium on Information and Communication Technology, SoICT 2023. ACM, 32-39, 2023.

[17] Le, Viet Trung, Do, Phuc Hao, Uwizeyemungu, Sylvestre, Le-Dinh, Thang, Le, Tran Duc. Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study. In Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2023. Communications in Computer and Information Science, vol 1925. Springer, 226–239, 2023.

[16] Do, Phuc Hao, Le, Tran Duc, Berezkin, Aleksandr, Kirichek, Ruslan. Graph Neural Networks for Traffic Classification in Satellite Communication Channels: A Comparative Analysis. Proceedings of Telecommunication Universities, 9(3), 14-27, 2023.

[15] Do, Phuc Hao, Le, Tran Duc, Vishnevsky, Vladimir, Berezkin, Aleksandr, Kirichek, Ruslan. A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks. In 2023 25th International Conference on Advanced Communication Technology (ICACT), IEEE, 28-36.

[14] Van Quan Pham, Van Uc Ngo, Phuc Hao Do, Nang Hung Van Nguyen. IoT Botnet Detection and Classification using Machine Learning Algorithms. Tập 2023 Số 1: Các công trình nghiên cứu, phát triển và ứng dụng Công nghệ Thông tin và Truyền thông, 38-49, 2023

2022

[13] Van, Nguyen Nang Hung, Do Phuc Hao, Pham Minh Tuan. “Trích chọn đặc trưng cho mạng nơ-ron tích chập trong bài toán nhận diện tấn công mạng “, Kỷ yếu Hội nghị KHCN Quốc gia lần thứ XIV về Nghiên cứu cơ bản và ứng dụng Công nghệ thông tin (FAIR), 2022

2021

[12] Do, Phuc Hao, Dinh, Truong Duy, Le, Tran Duc, Myrova, Lyudmila, Kirichek, Ruslan. An Efficient Feature Extraction Method for Attack Classification in IoT Networks. In 2021 13th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), IEEE, 194-199, 2021.

[11] Pham, Van Dai, Do, Phuc Hao, Le, Tran Duc, Kirichek, Ruslan. LoRa Link Quality Estimation Based on Support Vector Machine. Lecture Notes in Computer Science, vol. 13144, Springer, 92-102, 2021.

[10] Pham, Van Dai, Do, Phuc Hao, Le, Tran Duc, Kirichek, Ruslan. A Method for Link Quality Estimation in LoRa Network based on Support Vector Machine. Distributed Computer and Communication Networks: Control, Computation, Communications: 24th International Conference, 401-408, 2021.

[9] Van, Nguyen Nang Hung, Pham Minh Tuan, and Kanta Tachibana, Do Phuc Hao. Lstm for human activity recognition based on feature extraction method using conformal geometric algebra., Kỷ yếu Hội nghị KHCN Quốc gia lần thứ XIV về Nghiên cứu cơ bản và ứng dụng Công nghệ thông tin (FAIR), 2021

2020

[8] Nguyen Nang Hung Van, Pham Minh Tuan, Do Phuc Hao, Pham Cong Thang, and Tachibana Kanta. Human action recognition method based on conformal geometric algebra and recurrent neural network Information and management systems, no. 5 (108), 2020, pp. 2-11. (Scopus Q4)

2018

[7] Pham, T. M., Do, H. P., Doan, D. C., & Nguyen, H. V. (2018). Fast gaussian distribution based adaboost algorithm for face detection. Tạp chí Khoa học và Công nghệ. Đại học Đà Nẵng, 45-50.

2016

[6] Van Nguyen, Nang Hung, Minh Tuan Pham, and Phuc Hao Do. Marker selection for human activity recognition using combination of conformal geometric algebra and principal component regression. Proceedings of the 7th Symposium on Information and Communication Technology. 2016.

[5] Pham, Minh Tuan, Phuc Hao Do, and Kanta Tachibana. Feature extraction for classification method using principal component based on conformal geometric algebra. 2016 International joint conference on neural networks (IJCNN). IEEE, 2016.

IN RUSSIAN LANGUAGES

[4] До, Ф. Х., Ле, Ч. Д., Зуйков, М. А., Берёзкин, А. А., Киричёк, Р. В. Исследование предиктивнй аналитики на базе микроконтроллера с применением методов tinyml. Инновационное приоростроение, 2(2), 64-75, 2023. (English: [4] Do, Phuc Hao, Le, Tran Duc, Zuikov, M. A., Berezkin, A. A., Kirichek., R. V. Predictive analytics research based on a microcontroller using tinyml methods. Innovative Instrumentation, 2(2), 64-75, 2023.)

[3] Берёзкин, А. А., До, Ф. Х., Киричёк, Р. В. Обзор решений на основе искусственного интеллекта для минимизации задержки в спутниковых сетях связи, Апино 2023, 167-171, 2023 (English: [3] Berezkin, A. A., Do, Phuc Hao, Kirichek., R. V. A review of solutions based on artificial intelligence for minimizing delay in satellite communication networks, Apino 2023, 167-171, 2023

[2] Ле, Дык Чан, Фам, Мау Хоа, Динь, ЧЗ, До, Хао Фук. Применение алгоритмов машинного обучения для обнаружения вредоносных программ в операционной системе Windows с помощью PE-заголовка. Информационно-управляющие системы, 4 (119), 44-57, 2022. (English: [2] Le, Tran Duc, Pham, Hoa Mau, Dinh, Truong Duy, Do, Phuc Hao. Applying machine learning algorithms for PE-header-based malware detection on the Windows operating system. Informatsionno-Upravliaiushchie Sistemy, (4), 44-57, 2022.) (Scopus Q4)

[1] До, Ф. Х., Берёзкин, А. А., Киричёк, Р. В. Анализ методов минимизации сетевой задержки в каналах связи при передаче трафика промышленного интернета вещей, Электросвязь, (1), 8-16, 2022 (English: [1] Do, Phuc Hao, Berezkin, A. A., Kirichek., R. V. Analysis of methods for minimizing network delay in communication channels during transmission of industrial internet of things traffic, Telecommunications, (1), 8-16, 2022