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Course Projects:

Sep 2019 - Dec 2019
Language and Tools: C, ESP32, Python, AWS IoT/EC2, Scikit-learn
Designed and prototyped an automated pet food dispenser based on low power programmable wireless devices.
Deployed AWS IoT to receive data, send instructions and allow easy scheduling and dispensing of pet food from cloud.
Implemented facial recognition with SVM algorithm for pets identification. On RPi 3, the system is able to train model with limited sized samples within minutes and distinguish pets identity within 1s with on-board CPU with trained model.
Designed machine learning algorithms combined with IoT sensor to monitor pet feeding habits and detect abnormal situation.
Project Github Page

June 2020 - August 2020
Language and Tools: JavaScript, PHP, HTML, CSS, NoSQL, MySQL, Node.js, Angular.js, AJAX
Designed a real-time multi-room chat server using Node.JS and Socket.IO.
Implemented both client-server and chat-server to realize the functions in JavaScript.
Deployed and operated the online application on an AWS EC2 Instance to improve the performance and make good management of the application.

September 2017 – December 2017
Language and Tools: C++, libpng, libsdl2, gdb
Implements fundamentals of modern software 2D graphics: geometric primitives, scan conversion, clipping, transformations, compositing, texture sampling.
Advanced functions include gradients, antialiasing, filtering, parametric curves, and geometric stroking.

Jan 2017 – Apr 2017
Language: Python
Constructed a mail client and server based on SMTP
Used socket programming in building the communication link between client and server

May 2019 – Nov 2020
Language and Tools: Java, Maven, Kafka, Jenkins, SLF4J
Mapped workflow scheduling problems to be solved by distributed constraint optimization(DCOP).
Built messaging system for distributed agents to communicate with each other based on Kafka.
Deployed maximum gain messaging(MGM) algorithm to automatically generate optimal workflow schedule for multiple agents.
Created APIs based on the need of other modules in the project to access optimization functions and results.
Collaborated with Rayetheon BBN Technologies with DAPRA fund, details available upon approval.

Oct 2018 - Nov 2018
Advisor: Dr. Jeremy Buhler
Implementing a parallel algorithm to get minhash sketches with DNA sequence as input on Mercator, A framework to implement irregular streaming applications on NVIDIA GPUs

Nov 2018 - Dec 2018
Advisor: Dr. Chien-Ju Ho
Study online resource allocations problems, such as assigning tasks to workers who arrive online, assigning kidneys to patients, and assigning passengers to Uber drivers.
The goal is to maximize the total system utility (e.g., social welfare) subject to various constraints (e.g., budget constraints, fairness constraints, or assignment constraints.)

Oct 2017 - Oct 2018
Advisor: Dr. Jeremy Wang
We present a method to identify and partition clusters of unique amplicons from a complex population of full-length amplicon sequences.
Paper "Resolution of Complex Amplicon Populations Using Long Read Sequencing" submitted to RECOMB 2019.

Jan 2017 – Oct 2017
Advisor: Dr. Corbin Jones, Dr. Jeremy Wang
Build the accurate phylogenetic model from DNA sequencing data based on kmer without assembly and alignment
Successfully generate phylogenetic tree from simulated reference primate and raw DNA sequencing data of Drosophila
PhylgTree Github Page

Aug 2017 to Dec 2017
Implemented a python library wrapping UNIX/Linux system calls and SLURM command. The library enable users to set up complicated pipeline workflow using only python functions and avoid Shell script.
Provide simplified options for user to set job dependency relations and limit concurrent jobs by pre-set user quota.
Packaged and released on PyPI and conda-forge platforms, downloaded over 2000 times.
Pysbatch Github Page
use pip install pysbatch to install
or use conda install -c conda-forge pysbatch to install