Built a command-line interactive performance visualization/profiling tool that analyzes RTL waveforms and constructs a visualization of task dependencies and their run-time traces.
Education
Ph.D. in Computer Science
University of California, Los Angeles
Thesis: Automating Hardware Acceleration of Deep Neural Networks using Dataflow Architectures.
M.S. in Computer Science
University of California, Los Angeles
GPA: 3.9/4.0
B.S. in Computer Engineering
University of Arkansas
GPA: 4.0/4.0
B.A. in Political Science
University of Arkansas
GPA: 4.0/4.0
Skills & Hobbies
Technical Skills
Optimization
Performance Modeling, DSE, Roofline Modeling, Data Reuse & Movement Analysis, Affine Code Transformations, Mathematical Programming
Python
C/C++
HLS (Vitis/Catapult)
MLIR/LLVM
PyTorch
Verilog/VHDL
Tools
Vivado/Vitis
Git
Slurm
LaTeX
Awards
Best Paper Candidate
FPGA 2025 (International Symposium on Field-Programmable Gate Arrays) ∙
January 2025
Stream-HLS paper nominated for Best Paper at FPGA 2025.
Foundation for the International Exchange of Students Scholarship
University of Arkansas ∙
January 2019
Dr. Henry M. Alexander Memorial Award
University of Arkansas ∙
January 2019
The Charles D. Brock Scholarship
College of Engineering at University of Arkansas ∙
January 2018
Silver Medal
Third Gulf Mathematics Olympiads (Oman) ∙
January 2014
Represented Yemen in the Third Gulf Mathematics Olympiads in Oman.
Top-Ten Student Ministerial Scholarship
Yemeni Government ∙
January 2013
Ranked 9th among 218,964 Yemeni students in the National High School Exams (Top 0.000041%).