I interned under Dr. Joo-Young Kim at Computer Architecture Group of Microsoft Research in Summer 2013. I designed and implemented the canonical Huffman encoding as part of Compression Accelerators project. The goal of this project was to design a real-time and efficient lossless data compression system on a low power device. The prototype of the system was implemented on three different platforms: Zynq device using Vivado HLS, ARM processor, and NIOS soft core processor.

I interned under Dr. Juanjo Noguera and Dr. Stephen Neuendorffer at Xilinx Research Labs, Dublin in Summer 2011. I designed a face detection system using the high-level synthesis tool Vivado HLS (formerly named as AutoESL). The face detection algorithm was based on the Viola and Jones algorithm. I created an efficient architecture (with help of my supervisors) for the integral image calculation part and the classification part of the algorithm. The final system achieved throughput of processing 1 pixel every clock cycle for the integral image calculation and cascade classification parts. This performance was the same as manually designed RTL.