IEC Lab Members Directory

PI

Kim-Hung Le

Lecturer at UIT

A lecturer at the University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNUHCM-UIT), specializing in distributed robotics, mobile computing, and programmable matter. Research interests include the Internet of Things (IoT), energy-efficient wireless sensor networks, semantic web applications, and anomaly detection. Earned a Ph.D. in IoT from Sorbonne University, a Master’s in Network Security from Telecom ParisTech, and a Master’s in Computer Science from the University of Science (VNUHCM-US). Holds a Bachelor’s degree in Computer Networks from UIT. Contributed to multiple research projects focusing on enhancing IoT systems, improving security, and optimizing energy consumption in wireless networks. Passionate about bridging the gap between theoretical research and real-world applications, with a focus on smart cities, healthcare, and industrial automation. Actively collaborates with students and researchers to drive advancements in IoT technology and computer networks.

Member

Dat-Thinh Nguyen

Doctoral Researcher at UCD

As a dedicated researcher, I bring a wealth of experience and a strong foundation in machine learning, deep learning, and information security. My main objectives are strengthening the security landscape with the applications of AI, and exploring different sophisticated attacks and defenses for AI models. Some of my achievements are: - Valedictorian of the Honor Program in Information Security with an outstanding GPA of 9.08/10. - First author of the ISI-Q2 paper, titled "MidSiot: A Multi-stage Intrusion Detection System for Internet of Things". Additionally, I firmly believe that intelligence is the inevitable outcome of hard- and smart-working. Also, I believe that there are no such difficult things, there are just things we've not spent enough time on. These make me a lifelong learner with a strong passion for discovering impactful knowledge that makes the world we are living better and safer.

Master

Hoang-Trung Le-Pham

Teaching Assistant at UIT

Driven by a strong interest in technology, I am building a career in IT, with experience spanning Data Science, Artificial Intelligence, and Web Development. I have achieved notable results in AI competitions and research projects, particularly in Deep Learning Security and Natural Language Processing. I hold a BSc in Artificial Intelligence from HCMUS with an outstanding GPA of 9.07/10 and am currently advancing my expertise by pursuing an MSc in the same field. Alongside my studies, I have actively contributed to the AI research community by co-authoring multiple papers submitted to international journals and conferences through the IEC Research Lab. My research focuses on key areas within Deep Learning Security (including Model Inversion, Layer Attack and Defense, and Machine Unlearning) and Multimodal Learning (with an emphasis on enhancing modal fusion).

Lecturer

Huy-Tan Thai

Doctor at UIT

A Lecturer at the University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNUHCM), with a strong academic background in Computer Science and Information Technology, earned from the University of Science (VNUHCM-US). Research interests lie at the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), with a particular focus on Edge Computing and its applications in Precision Agriculture. Passionate about developing intelligent systems that operate efficiently in decentralized environments, enabling real-time decision-making and sustainable technological solutions for agriculture and industry. Dedicated to advancing applied research and fostering student engagement in emerging technologies. Actively contributes to interdisciplinary projects that integrate AI, IoT, and edge technologies to create smart, adaptive, and context-aware systems. With a vision for building impactful solutions, committed to pushing the boundaries of AI in real-world environments, especially in domains where efficiency, scalability, and sustainability are essential.

Lecturer

Khanh-Hoi Le-Minh

Lecturer at UIT

A Lecturer at the University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNUHCM-UIT), specializing in AI-driven solutions for Industrial IoT, Edge Computing, and Big Data integration. With a Master’s in Information Technology and a Bachelor’s in Computer Networks, both from UIT, brings a solid academic foundation and hands-on experience in IoT/5G technologies, AI algorithm deployment at the edge, and remote intelligent systems. Current research interests focus on developing scalable AI algorithms for industrial environments, enabling real-time analytics and automation through edge computing. Also passionate about bridging AI and communication technologies to create smarter, safer, and more efficient industrial systems. Actively involved in mentoring students, collaborating on applied research projects, and contributing to academic publications. Committed to pushing the boundaries of AI and IoT integration, with the goal of shaping the future of intelligent infrastructure and next-generation connectivity.

Master

Ngoc-Truong Nguyen

Researcher at UIT

I am a young researcher in the field of cybersecurity, holding a Bachelor of Engineering in Information Security. Throughout my academic journey, I have built a solid foundation in malware analysis, machine learning-based detection systems, and intrusion detection. My previous work includes designing advanced frameworks that fuse diverse feature types—such as image, tabular, and graph data—for effective Android malware classification. Additionally, I proposed a semi-synthetic dataset generation approach to enhance the training of network intrusion detection systems (NIDS), addressing the limitations of outdated and imbalanced public datasets. Since 2025, I have been expanding my research interests into the field of quantum computing, with a particular focus on two main directions: (1) Quantum attack modeling, aiming to explore vulnerabilities in quantum and hybrid classical-quantum models through the simulation of practical attack scenarios; (2) Development and analysis of quantum models for machine learning and security, with an emphasis on understanding the capabilities and limitations of current quantum algorithms in addressing security challenges. I am especially interested in the integration of classical and quantum machine learning techniques to build intelligent defense systems, while also investigating potential security risks associated with quantum algorithms such as Quantum Neural Networks (QNN), Variational Quantum Eigensolvers (VQE), and Quantum Approximate Optimization Algorithms (QAOA) when deployed in real-world environments.

Member

Nhu-Y Tran-Van

Lecturer at UIT

A Teaching Assistant at the University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNUHCM-UIT), with a strong interest in Internet of Things (IoT) and Intelligent Edge Computing. Holds a Bachelor’s degree in Computer Networks from UIT, with a focus on network architecture, IoT applications, and distributed computing. Passionate about exploring emerging technologies, optimizing edge computing solutions, and enhancing IoT connectivity for real-world applications. Actively engages in research and academic projects, supporting students in computer networking, IoT development, and intelligent systems. Dedicated to bridging the gap between theory and practice, fostering innovation, and contributing to the advancement of smart and connected technologies.

Member

Xuan-Ha Nguyen

Doctoral Researcher at UCD

A Teaching Assistant at the University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNUHCM-UIT), with a strong academic background in Network Security. Research interests focus on Intrusion Detection Systems (IDS), information security, anomaly detection, and outlier detection, particularly in the context of securing modern digital infrastructure. Passionate about exploring advanced methods to identify and respond to threats in real-time, as well as developing intelligent systems to enhance cybersecurity resilience. Graduated with a Bachelor’s degree in Network Security from UIT, and actively involved in academic support, research projects, and mentoring students in cybersecurity-related fields. Dedicated to continuous learning and contributing to a safer digital environment through innovative research and practical solutions.