PhD · EE · Vancouver, Canada

Minh Tu Hoang

Cybersecurity Engineer & Embedded Systems Researcher

PhD in Electrical Engineering with 8+ years building secure embedded systems and 5+ years developing enterprise cybersecurity products at Fortinet. IEEE-published researcher in AI-powered wireless localization and 5G network security.

5G / GTP / SEPP Linux Kernel Embedded C/C++ Deep Learning Fortinet NSE SDR / DSP Indoor Localization ARM / FPGA
Minh Tu Hoang
Minh Tu Hoang
Minh Tu Hoang
01   About

Engineer.
Researcher. Builder.

I hold a PhD in Electrical Engineering from the University of Victoria, where I developed novel deep learning architectures — including P-MIMO LSTM and CNN-LSTM networks — for WiFi indoor localization, achieving up to 50% performance improvement over existing methods.

At Fortinet, I work as a Staff Embedded Software Developer building enterprise security products including Fortigate, FortiSASE, GTP/SEPP for 5G networks, VoIP security, SSL VPN, antivirus, and IPS systems.

Prior to Fortinet, I implemented HF modems for tactical SDR radios at Viettel R&D and worked as a Field Applications Engineer at Avnet Asia, specializing in Xilinx FPGA (Zynq SoC) deployments.

PhD
Electrical Eng., UVic
7
IEEE / Nature Publications
8+
Yrs Embedded Systems
5+
Yrs Cybersecurity
02   Skills

Technical
Expertise

🔐
Cybersecurity
Fortinet NSE 5G GTP/SEPP Firewall IPS/IDS SSL VPN Web Filter Antivirus FortiSASE VoIP/SIP IAM
⚙️
Embedded Systems
Linux Kernel ARM Cortex A8 RTOS DSP TMS320 MSP430 ATmega Xilinx Zynq SoC FPGA Raspberry Pi Jetson TX2
🤖
AI / Machine Learning
Deep Learning RNN / LSTM CNN TensorFlow Keras Python MATLAB Indoor Localization Signal Classification
📡
Wireless & Communications
WiFi / 802.11 5G / LTE Bluetooth / UWB SDR HF Modems BPSK / Turbo MELP Vocoder MIL-STD-188 OFDM
💻
Programming
C C++ Python MATLAB Linux / Bash Networking Stack TCP/IP Assembly
🔬
Research
IEEE Journals Nature / Sci. Reports Autonomous Robotics Lab Experiments ML Teaching (ECE403) Grant Writing
03   Experience

Career
Timeline

SEP 2020 — PRESENT
Staff Embedded Software Developer
Fortinet Canada Inc. · Vancouver, BC
  • Developed cybersecurity products: Fortigate, FortiSASE, FortiAnalyzer
  • Built GTP/SEPP security for 5G networks, SSL VPN, web filter, antivirus, IPS
  • Deep Linux kernel development for high-performance network security appliances
  • Fortinet Network Security Expert (NSE) specialist-level certification
SEP 2016 — AUG 2020
Graduate Research Assistant
Dr. Xiaodai Dong's Lab · University of Victoria, BC
  • Proposed P-MIMO LSTM and CNN-LSTM architectures for WiFi indoor localization
  • Achieved up to 50% performance improvement over existing methods
  • Conducted autonomous experiments using self-navigation robot (RPi, Jetson TX2, ARM)
  • Published 4 IEEE journal papers and 2 arxiv preprints
  • Charles S. Humphrey Graduate Award for outstanding engineering student, 2019
SEP 2016 — AUG 2020
Teaching Assistant — Machine Learning, Circuits, Digital Comms
ECE Department · University of Victoria, BC
  • Taught ML concepts for 400-level Machine Learning Course (ECE403)
  • Received Excellent Lab Teaching Assistant Award multiple semesters
MAR 2016 — SEP 2016
Field Applications Engineer
Avnet Asia · Singapore
  • Full-cycle product design support for Xilinx integrated FPGA (Zynq SoC)
  • Customer-facing technical consulting across Southeast Asia
JUL 2013 — MAR 2016
Digital Signal Processing Engineer
Viettel R&D · Hanoi, Vietnam
  • Implemented HF modems for tactical SDR radios per MIL-STD-188-110C Appendix D
  • Created VHF waveform with Turbo code, MELP vocoder, and BPSK modulation
  • Recognized as top 1% technical employee among 2,000 staff (2015)
04   Research

Publications

2020
Semi-Sequential Probabilistic Model for Indoor Localization Enhancement
IEEE SENSORS JOURNAL · Vol. 20, No. 11, pp. 6160–6169
Scholar ↗
2021
Universal Activation Function for Machine Learning
SCIENTIFIC REPORTS (NATURE) · Vol. 11, 18757
Scholar ↗
2019
Recurrent Neural Networks for Accurate RSSI Indoor Localization
IEEE INTERNET OF THINGS JOURNAL · Vol. 6, No. 6, pp. 10639–10651
Scholar ↗
2018
A Soft Range Limited K-Nearest Neighbours Algorithm for Indoor Localization Enhancement
IEEE SENSORS JOURNAL · Vol. 18, pp. 10208–10216
Scholar ↗
2021
Passive Indoor Localization with WiFi Fingerprints
ARXIV PREPRINT
Scholar ↗
2020
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
ARXIV PREPRINT
Scholar ↗
2013
A Practical Synchronization Algorithm for IEEE 802.15.4a UWB Receivers
ATC INTERNATIONAL CONFERENCE · Ho Chi Minh City, pp. 170–175
Scholar ↗
05   Projects

Key Projects

PROJECT 01
Autonomous WiFi Indoor Localization Robot
Self-navigation robot using Raspberry Pi, Jetson TX2, and ARM for autonomous WiFi fingerprint survey. Achieved up to 50% localization accuracy improvement using novel P-MIMO LSTM and CNN-LSTM networks.
PythonTensorFlowARMWiFi
PROJECT 02
5G GTP/SEPP Security for FortiGate
Developed GTP and SEPP (Security Edge Protection Proxy) security features for Fortinet's enterprise firewall platform, protecting 5G core network interfaces from protocol-level attacks.
CLinux Kernel5GNetworking
PROJECT 03
Tactical HF SDR Modem (MIL-STD-188-110C)
Implemented HF modulators-demodulators for tactical Software Defined Radio per US military standard MIL-STD-188-110C Appendix D at Viettel R&D for military communications systems.
DSPSDRMATLABC
PROJECT 04
VHF Robust Waveform Design
Created a new VHF waveform combining Turbo error correction code, MELP vocoder for voice compression, and BPSK modulation for robust low-bandwidth military voice communications.
Turbo CodeMELPBPSKVHF
PROJECT 05
Universal Activation Function (Nature)
Co-developed a universal activation function for neural networks published in Scientific Reports (Nature). The function generalizes across multiple ML tasks and architectures with improved convergence.
Deep LearningPythonKerasResearch
PROJECT 06
Three-Wheel Self-Navigation Robot
Designed and built a three-wheel autonomous robot controller using Raspberry Pi, Jetson TX2, and ARM processors in C and Python for indoor localization data collection experiments.
RoboticsCPythonJetson TX2
06   Contact

Let's Connect

I'm open to senior R&D engineering roles, research positions, and co-founding opportunities in cybersecurity, embedded AI, 5G security, and indoor localization.

If you're building something interesting at the intersection of wireless systems, security, and machine learning — I'd love to talk.