FPGA/HLS & DSP Engineer | M.S. ECE Candidate | DOA Estimation | Embedded AI | Industrial Hardware Automation
I am an Electrical and Computer Engineering M.S. candidate at Kennesaw State University with a PhD background in electromagnetics, inverse problems, and signal processing. My current work focuses on FPGA/HLS acceleration, DSP/DOA estimation, Embedded AI, and industrial hardware automation.
After immigrating to the United States, I rebuilt my engineering path through hands-on industrial ECE work. At Wabtec, I support electronics, computer systems, rack-level infrastructure, QA validation, Redfish/iLO workflows, Cradlepoint-related automation, and Python/PowerShell tooling.
- FPGA/HLS acceleration for DSP and radar preprocessing
- Sample Covariance Matrix acceleration for DOA/MIMO radar
- Coarray MUSIC, sparse arrays, mutual coupling, and ALSS regularization
- Embedded AI and ML calibration for sensing systems
- Industrial rack QA automation using Python, PowerShell, Redfish/iLO, and Cradlepoint workflows
Vitis HLS accelerator for Sample Covariance Matrix computation in MUSIC-based DOA/MIMO radar preprocessing.
- C simulation: PASS
- C synthesis: PASS
- C/RTL co-simulation: PASS
- Target: Zynq-7000, Vitis HLS 2025.2
- DSP: 24
- LUT: 11,812
- FF: 11,655
- BRAM: 0
Repository: fpga-hls-doa-scm-accelerator
Research-grade Python framework for sparse-array geometry analysis, coarray MUSIC, mutual coupling modeling, and Adaptive Lag-Selective Shrinkage.
Repository: MIMO_GEOMETRY_ANALYSIS
Python/C++ implementation lab for steering vectors, covariance estimation, beamforming, MVDR, MUSIC, and array signal processing algorithms.
Repository: Optimal-Array-Processing
FPGA/HLS: Vitis HLS, Vivado, C/C++ HLS, Verilog, loop pipelining, loop unrolling, array partitioning, C/RTL co-simulation
DSP/Radar: DOA estimation, MUSIC, sample covariance matrix, beamforming, MIMO radar, array processing, electromagnetics
Programming: Python, C/C++, MATLAB, PowerShell, LaTeX, Git/GitHub
Automation/Systems: Redfish/iLO, HPE ProLiant, Cradlepoint/NetCloud, rack-level QA validation, GUI automation
My long-term goal is to build real-time sensing systems from theory to hardware:
Electromagnetics and signal modeling
→ DSP / DOA algorithms
→ Python/C++ implementation
→ FPGA/HLS acceleration
→ Embedded AI and industrial validation