Phuc Hao Do

Hello, I am Do Phuc Hao. I hold a Master’s degree in Computer Science. Currently, I am a PhD student at the Bonch-Bruevich Saint Petersburg State University of Telecommunications. My research interests encompass a wide spectrum, including machine learning, artificial intelligence, Internet of Things (IoT), federated learning, edge computing, and algorithms.

My academic journey has led me to delve into the intricate world of computer science, with a particular focus on cutting-edge technologies. As a dedicated PhD student, I am passionately exploring the realms of machine learning and artificial intelligence, striving to unravel their potential in reshaping how we perceive and interact with technology. I am also a member of the NETSEC-ITDUT research group at my university in Vietnam, which focuses on networking, network security, and applying AI/ML.

My journey is guided by an insatiable curiosity for algorithms, the fundamental building blocks of computational tasks. Through my research, I aim to contribute to the growing body of knowledge that propels the tech industry forward, paving the way for smarter, more efficient systems that can revolutionize various aspects of our lives.

📢 NEWS

🎉 Excited to share a big milestone! 🎉 Our first Q1 paper, “Classifying IoT Botnet Attacks with Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations”, has been officially accepted for publication in IEEE Access!

🥳 2024/06/21: I’m excited to announce that our paper “Advancing Satellite Communications: Multi-Objective Optimization with Genetic Algorithms” has been accepted to be presented at the 27th International Conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN2024), Moscow, Russia, 23-27 September 2024.

🥳 2024/03/26: I’m excited to announce that our paper “ANALYSIS OF ULTRA-HIGH RESOLUTION NEURAL NETWORK MODELS IN THE UAV VIDEO STREAM COMPRESSION SYSTEM” has been published in the ЭЛЕКТРОСВЯЗЬ journal.

🥳 2023/11/17: I’m excited to announce that our research paper titled Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study has been published in the Springer book series Communications in Computer and Information Science (CCIS).

✍️ 2023/10/30: My new post on the my blog: Understanding and Implementing Deep Learning Models with PyTorch

✍️ 2023/10/20: My new post on the my blog: Queuing Theory and Algorithms

🗣️ 2023/10/13: I’m going to present my paper titled “Enhancing Satellite Communication Efficiency through AI-Based Traffic Prioritization” at ICACNGC 2023 on October 12th, 2023. Conference’s Program.

🥳 2023/10/09: Congratulations on the newly accepted paper of our research team: “Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences” in SoICT 2023. Conference’s Link