Hardware acceleration, real-time photonic sensing, and scientific cloud — built to survive contact with the lab bench.
I build low-latency systems where silicon meets physics — and data meets scientists.
I'm a Research Fellow at the Computational Mathematics & Data Science Center at Florida Institute of Technology, designing an AI-assisted, cloud-native repository for medical imaging data on AWS S3 and Databricks.
Before that I spent two years at Lawrence Berkeley National Laboratory designing a GPU-accelerated Optical Frequency Domain Reflectometry platform with custom FPGA IP on the AMD Xilinx RFSoC 4x2 — <10 ms latency for distributed fiber-optic sensing. My Ph.D. at Concordia was on secure lossless image steganography, co-designed in hardware on Zynq-7000 SoCs.
Originally from Irbid, JO; grad school in Montréal, QC; currently in Melbourne, FL. Off-hours: reading, gaming, building PCs, cooking, long drives, beach.
End-to-end distributed fiber-optic sensing with <10 ms feedback. Custom FPGA IP on the AMD Xilinx RFSoC 4x2 — DDR4, DMA, ADC/DAC, PCIe, QSFP28 links, tunable-laser sync. Validated on fiber-under-test setups with localized and distributed heating / strain experiments.
CMDS Center. Scalable storage on Amazon S3; Databricks for distributed, analysis-ready processing. Natural-language dataset discovery; extensible analytics with built-in apps and user-defined containerized pipelines under secure governance.
A secure, lossless modulus-based image-steganography model with pipelined FPGA realization on Zynq-7000. Reconfigurable cores for AES, ECC over GF(2ⁿ), and Paillier — optimized for real-time embedded deployment.
RTL (VHDL / Verilog) modules and verification testbenches for satellite communication and payload control — timing, redundancy, and fault-tolerance under aerospace-grade constraints.
Reading, gaming, building PCs, cooking — and exploring cuisines. Middle Eastern, Italian, Thai, Japanese.