I am an Electronics and Telecommunications Engineering senior at VNUHCM - University of Science. I work on computer vision, deep learning, machine learning, network communications and telecommunications systems.
My current work includes Vietnamese automatic license plate recognition with YOLO/PyTorch and OCR/FastALPR, manual CT image-processing laboratories, automatic modulation classification with DSP features and a 1D CNN, Cisco IOS and Packet Tracer network laboratories, and MATLAB studies in wireless communications and numerical methods. Each featured repository links to code, reports, visual evidence, release history and stated prototype limits where relevant.
I am seeking internships and junior roles in computer vision, machine learning, network engineering and telecommunications. FPGA/SoC and embedded work provide complementary hardware-software systems context.
| Channel | Link |
|---|---|
| Work email | luonghailong.work@gmail.com |
| Student email | 22207056@student.hcmus.edu.vn |
| Phone | +84 988 114 708 |
| Resume | Luong Hai Long CV |
| GitHub | github.com/lhlizdabezt |
| linkedin.com/in/lhlizdabezt | |
| facebook.com/wageseadrake | |
| instagram.com/lhlizdabezt | |
| YouTube | youtube.com/@lhlizdabezt |
| TikTok | tiktok.com/@wageseadrake |
|
Computer vision project using YOLO/PyTorch detection, OCR/FastALPR recognition, Kaggle/IPYNB training evidence, Python desktop inference and a bounded LAN demonstration. |
Python/Jupyter coursework covering manual pixel operations, CT ROI analysis, explicit spatial and FFT filtering, image resampling and quantitative SSIM comparison. |
|
Six-class I/Q signal classification using 18 DSP features, a 400-tree Random Forest, a compact 1D CNN and validation-selected probability fusion, with explicit synthetic-data limits. |
Six Cisco Packet Tracer laboratories plus midterm and final-review records covering dual-stack access, VLANs, OSPF, NAT, WLAN, and application services. |
|
Twenty-three MATLAB scripts covering Rayleigh and Rician fading, BER Monte Carlo studies, OFDM, MIMO, SVD precoding, equalizers and diversity techniques. |
Executed Jupyter work across Labs 1-7: sampling, LTI systems, Fourier analysis, frequency response, FIR/IIR design and audio filtering, with 180 searchable report pages. |