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>>> About Me

>>> My name is Arthur Hlaing. I am currently pursuing a M.S. Degree in Computer Engineering at the University of California, Davis. I received my B.S. degree in Electrical Engineering at the University of California, Davis in Spring 2018.

>>> My interests are in the domain of High-Performance, Energy-Efficient, and Area-Efficient Computing, Parallel Computing, and Neural Networks.

>>> Contact

>>> Email: athlaing@ucdavis.edu
>>> Phone: 9096843510
>>> Mailing Address: 2080 Tilia Street Apt 342A Davis CA 95616 USA

>>> Availability:
>>>   Monday: all day
>>>   Wednesday: after 12:00pm
>>>   Friday: after 1:30pm

>>> Projects

>>> View Resume, or keep scrolling for comprehensive project descriptions.

>>> VLSI Computation Laboratory
Electrical and Computer Engineering at University of California, Davis

>>> Asynchronus Array of Simple Processors (AsAP) CNN
Position: Graduate Researcher

>>>   Implementing maxpooling and softmax layers for AlexNet CNN

>>> Asynchronus Array of Simple Processors (AsAP) Mapper
Position: Undergraduate Researcher

>>>   Developed visualization tools for post placement and routing of fine-grain many core architectures (AsAP3 KiloCore and AsAP4)
>>>   Wrote an initial placement algorithm that bipartite matches an AsAP application task graph to an AsAP simulated architecture
>>>   Simulated mappings with different parallel processing architectures and interconnect topologies to measure their impact on mapping quality

>>> GitHub/AsapMapper.jl

>>> GitHub/Mapper2.jl

>>> Hardware Accelerated Chess Engine
Undergraduate Capstone Project

>>>   Implemented move generation, and position evaluation using hardware parallel processing
>>>   Implemented game search tree and alpha-beta pruning algorithm to determine the best play

>>> Micro Nano Innovations Lab
Biomedical Engineering at University of California, Davis

>>> Cloud Pipette Project
Position: Undergraduate Researcher

>>>   Developed an iOS application that accepts laboratory pipette volume inputs and transmits them via Bluetooth to an automated laboratory pipette
>>>   Integrated Firebase Realtime Database into the iOS application for real-time data backup

>>> Convolutional Neural Networks
Personal Project

>>>   Implementing MNIST Digit Recognizer in Verilog
>>>   Implemented AlexNet and MNIST Digit Recognizer CNNs in C using trained weights obtained from PyTorch

>>> Github/CNN