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Le Tan Nhat Linh

Tihado

Le Tan Nhat Linh

Research Engineer

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About

I care about security, cryptography, and how modern networks actually fail in practice—especially as 5G and massive IoT deployments change the threat surface. My PhD work focused on AI/ML-based intrusion detection tailored to 3GPP 5G-IoT traffic and core-network constraints.

Outside of pure security research, I enjoy robotics and embodied systems: drones, ROS-based stacks, and hands-on projects that mix electronics, control, and software.

Experience

Lead Technical Specialist — Tihado

Current · Greater Paris, France

Technical leadership on Tihado engineering efforts, alongside research—bridging prototypes, architecture, and competition-grade demos (including robotics-related hackathon work with the team).

Postdoctoral researcher — UVSQ (Université de Versailles Saint-Quentin-en-Yvelines)

Oct 2025 - Present · Versailles / Greater Paris, France

Continuing research in network security and related ML/DL methods in a university and Paris-Saclay ecosystem.

PhD researcher — UVSQ

Jan 2022 - Dec 2025 · Versailles, France

Thesis theme: AI-based intrusion detection system for 3GPP 5G-IoT traffic, including integration perspectives as a network function in the 5G core. Affiliation with DAVID lab themes around networks, data, and intelligent systems (NGN / digital systems context).

Software / R&D engineer — Hanoi, Vietnam

Technology / R&D sector

  • Built a drone with obstacle avoidance using ROS and Docker.
  • Developed machine learning pipelines on sales / behavioral data for internal analytics.

Collaborator — US Embassy Hanoi (STEM / outreach)

Intern / collaborator

  • Built a basic Arduino drone and a small-scale Curiosity-style rover with phone-based remote control and Java components—focused on learning, demonstration, and mentoring.

Education

PhD — Information Technology (network security & ML)

UVSQ - Université de Versailles Saint-Quentin-en-Yvelines (graduate school Université Paris-Saclay) · 2022 - 2025 · France

Dissertation topic (public record on theses.fr): A novel AI-based Intrusion Detection System for 3GPP 5G-IoT traffic.

Master of Science (MS) — Computer & information systems security / information assurance

France (UVSQ / Paris-area security program)

Graduate training in security fundamentals, risk, and assurance with strong technical coursework (grade context on public profiles: 14/20).

Honors & awards

  • 3rd placeAMD Open Robotics Hackathon (AMD, Hugging Face, WowRobo, Data Monsters) — Dec 2025 (with the Tihado team on EatAble-related work).

Selected publications

  • 5G-IoT-IDS: Intrusion Detection System for CIoT as Network Function in 5G Core NetworkIEEE GLOBECOM, 2023.
  • AI/ML-Based IDS as 5G Core Network Function in the Control Plane for IP/non-IP CIoT TrafficIEEE LCN, 2024.

More bibliographic data: Google Scholar.

Skills (high level)

5G / IoT security, intrusion detection, ML/DL, Python, ROS, Docker, AWS (familiarity from projects), robotics, experiment design, technical communication.


Profile details on this page are maintained from public professional sources and may be summarized. For the full timeline, see LinkedIn.