Java, C++, Perl, JavaScript, Python, PHP, MySQL, HTML, Ruby on Rails

Yixuan Li

************@*****.*** 215-***-****

Skills: Java • Python • R • MySQL • HTML • Ruby • C++ • Perl • JavaScript • PHP

Interests: Data Science • Database • Web Design • Distributed System • Operating System

Github: https://github.com/liyixuan1993

LinkedIn: https://www.linkedin.com/in/yixuan-li-084177130/

EDUCATION

University of Pennsylvania, School of Engineering and Applied Science May 2018

Master of Science in Engineering in Computational Science GPA: 3.59/4.00

East China Normal University (ECNU), China June 2014

Bachelor of Science in Electrical Engineering Cum. GPA: 3.31/4.0 • Maj. GPA: 3.75/4.00

PROJECTS

Penn Memo

¬ Designed a web application on Ruby on Rails to provide a communication platform for Penn Medicine

¬ Designed the views of websites by Bootstrap. Require proficient operation on GitHub for teamwork

MySQL based NBA player Analytics

¬ Designed NoSQL database for users to search information about NBA based on Node.js

¬ Performed K-Means clustering and built regression model to predict the salary for a new player

Scalable Gossip-style Distributed Group Membership System

¬ Designed failure detection framework based on PING-ACK and Infection-style Dissemination to reduce bandwidth usage and broadcast delay

¬ Introduced Suspicion Mechanism to reduce false-positive rate

Fault-tolerant Distributed Key-value Storage System

¬ Implemented a distributed key-value store with Eventual and Linearizability consistency models

¬ Developed "last writer wins" logic and Total Ordering Multicast scheme to achieve Consistency

Distributed Load Balancing System

¬ Developed an architecture that implemented a dynamic load balance algorithm between different servers

¬ Implemented a prediction module to minimize data transfer

Fake Smile Detection

¬ Trained Convolution Neural Networks to recognize fake smiles and real smiles from images

¬ Extracted human faces, eyes and mouths by OpenCV

¬ Compared CNNs under different network architectures such as LeNet, AlexNet, ResNet and VGG Net

Human Motivation Prediction Based on Image

¬ Designed a fast method to forecast human motivation based on images

¬ Extracted scene and action information by Convolutional Neural Networks on Caffe

Prediction of Student Alcohol Consumption

¬ Implemented Statistical Analysis of the Alcohol Consumption among students

¬ Compared models of Logistic Regression, Neural Networks and Random Forests through PCA

Virtual Memory Page Fault Profiler in Linux Kernel Module

¬ Constructed a profiler of page fault rate and CPU utilization in a Linux Kernel module

¬ Designed character device driver to map a shared memory area in the kernel to the user space

Rate-Monotonic CPU Scheduling in Linux Kernel Module

¬ Developed Rate-Monotonic Scheduler (RMS) for the Periodic Task Model in Linux Kernel

¬ Implemented bound-based Admission control for the Rate Monotonic Scheduler

AWARDS

Teaching Assistant in Data Mining Class Sept. 2017

First Prize of 2013 College Students Computer Design Competition of China Aug. 2013

First Prize of 2013 National College Students Information Security Competition Jul. 2013

Outstanding Graduate of ECNU in 2014 May 2014

Outstanding Student Scholarship of ECNU 2011-2014

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