Tien-Dat Le
🇳🇱 EngD Candidate · Eindhoven University of Technology
Adversarially robust ML for safety-critical systems.
Working on AI and digital twin platforms for power systems. Previously an ML researcher at the IoT Network Lab, Soonchunhyang University (Korea), where he published 2 Q1 first-author papers on ML-based IDS for in-vehicle networks. Before that, a security engineer at Zalo (Vietnam), running audits and building automation tooling.
News
- paperPaper accepted at Knowledge-Based Systems: Multi-class intrusion detection system for in-vehicle networks using few-shot learning and convolutional anomaly transformer network.
- paperPaper accepted at Knowledge-Based Systems: EfficientNet-based universum-inspired supervised contrastive learning and transfer learning for in-vehicle intrusion detection systems.
- positionStarted EngD track at Eindhoven University of Technology (TU/e), Netherlands.
- paperPaper accepted at Engineering Applications of Artificial Intelligence: Advanced deep learning-based electricity theft detection in smart grids using multi-dimensional analysis with Convolutional Autoencoder and Transformer.
- awardAward won at LISATHON (LISA Lab Hackathon), Soonchunhyang University, South Korea.
Research
My research sits at the intersection of time series anomaly detection, AI security / adversarial ML, and critical infrastructure security — specifically in-vehicle networks, power grids, and IoT systems.
I build models that are not just accurate, but certifiably robust when deployed under adversarial conditions. The through-line: offensive security intuitions applied to ML threat modeling, from a background of finding real vulnerabilities at scale.
Adversarial MLAnomaly DetectionIntrusion DetectionCritical InfrastructureFederated Learning
Experience
Academic
Industry
🇳🇱 AI Engineer Intern
Innova Energie
- Developing AI-powered forecasting models for energy demand and renewable production prediction
- Integrating machine learning pipelines with operational energy management systems
- Benchmarking classical time-series models against deep learning approaches for short-term load forecasting
🇳🇱 AI Engineer
DigiPES Lab, Eindhoven University of Technology (TU/e)
- Developing an Integrated Digital Platform for Multi-Energy Flexibility Asset Orchestration
- IoT-enabled asset integration combining edge computing with cloud analytics for real-time energy management
- Multi-objective optimization balancing technical, economic, and environmental constraints
- Digital twin architectures for simulating regional energy network scenarios
🇰🇷 AI Researcher
IoT Network Lab, Soonchunhyang University
- GAN-based In-Vehicle IDS
- Multiclass classification using vision transformer + GAN (Auxiliary Classifier) for CAN bus anomaly detection
- Federated learning integration for privacy-preserving intrusion detection
- Target venue: IEEE TIFS (submitted 2026, under review)
- → [S.1]
- Multi-classification In-Vehicle IDS
- Transformer + autoencoder architecture for CAN bus traffic analysis
- Achieved classification accuracy = 1.0 on benchmark datasets
- → [J.1]
- AI-based Electricity Theft Detection
- Transformer + convolutional autoencoder for smart grid anomaly detection
- Achieved accuracy 0.9918 — state-of-the-art at time of publication
- → [J.2]
🇻🇳 Safety & Security
Zalo — VNG Corporation
- Safety and Security Executive
- Conducted OWASP security audits of internal tools and external messaging platforms
- Identified and reported 5+ critical vulnerabilities affecting millions of users
- Safety & Security Fresher
- Vietnam's most-used messaging platform — 70+ million users
- Developed custom penetration testing platforms using JavaScript and Python (packet decryption, data visualization)
Publications
First Author
Contributing Author
Workshop / Conference
Under Review
[S.1]
Under Review
Federated Learning with Auxiliary Classifier GAN for In-Vehicle Intrusion Detection
Education
Engineering Doctorate (EngD), Electrical Engineering TU/e
Eindhoven University of Technology (TU/e)
Funded industry-linked research programme. Project: DigiRES
Master of Research, Mobility Security Convergence SCH
Soonchunhyang University
★ 3rd place LISATHON, Dec 2024
Bachelor of Information Technology (Computer Network & Telecommunication) HCMUS
Ho Chi Minh City University of Science (HCMUS) — VNU
★ Top GPA, Computer Network faculty (Aug 2021)
Skills & Service
Technical Skills
Programming
PythonC/C++JavaJavaScript
ML / Deep Learning
PyTorchscikit-learnHuggingFace TransformersNumPyPandas
Security
Penetration testingOWASP auditsVulnerability analysisWireshark
Specialized
CAN bus / IDS protocolsMQTTLinuxDockerGitLaTeX
Peer Review Service
IEEE Trans on Information Forensics and Security
Scientific Reports
Cluster Computing
IEEE Network
IEEE Transactions on Industrial Informatics
Honors & Awards
3rd Place — LISATHON (LISA Lab Hackathon) ·
Top Highest GPA — Computer Network Faculty ·
TOP 7 — HCMUS-CTF Final (Capture the Flag) ·
MCSA Certification Scholarship for Excellent Students ·
Certificates
Claude Code in Action ·
IBM Full Stack Software Developer Specialization ·
IBM Cybersecurity Analyst Specialization ·
INFOSEC JavaScript Security Specialization ·
Penetration Testing, Incident Response and Forensics ·
AWS S3 Basics ·
Cybersecurity Compliance Framework & System Administration ·
Network Security & Database Vulnerabilities ·
Web Application Security Testing with OWASP ZAP ·
Wireshark for Basic Network Security Analysis ·
Advent of Cyber 2021 ·
01 / 03