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Research Assistant

Location:
State College, PA
Posted:
December 25, 2020

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Resume:

*** *. ******** ** #**, State College, PA 609-***-**** adiyax@r.postjobfree.com github: https://github.com/Brit7777 Jooyoung Lee

*** *. ******** ** #**, Sate College, PA

609-***-****

adiyax@r.postjobfree.com

E D UCATION

The Pennsylvania State University, University Park, PA August 2020 – Present PhD in Informatics, College of Information Sciences and Technology Sookmyung Women's University, Seoul March 2014 - Aug 2018 Bachelor of Engineering, Department of Computer Science Albright College, Reading, PA Feb 2017 – May 2017

Study abroad program

WORK E X P ERIENCE

Wavus, Seoul Feb 2018 – Aug 2018

Intern

Collaborated with a team to develop a website using Spring framework and resolved issues causing site crashes. 70 software engineers are currently using this website to communicate and exchange IT knowledge.

Created an AI scream detector with senior developers and learned advanced programming skills and project management techniques.

Studied embedded system with raspberryPi and rendered a security service by customizing the open source code.

R E S EARCH EXPERIENCE

The Pennsylvania State University, Human Language Technology Lab Sept 2019 - Present Research Assistant, Advisor : Shomir Wilson

Examined the correlation of an individual's socioeconomic status and its online privacy behavior via an online survey.

Analyzed the collected data and performed a hypothesis testing with advanced statistical models. Extracted frequently discussed topics related to self-disclosure using topic modeling techniques. Wavus, Technical Research Team Feb 2018 – Aug 2018 Intern, Advisor : Jae You Yang

Developed a CNN model to detect human screams for security application. Generated a dataset that consists of 5 classes of impulsive sounds and experimented with two different feature extraction methods such as MFCC and Spectrogram. Employed detection algorithms to enhance performance even under noisy environment. Sookmyung Women’s University, Department of Computer Science Sep 2017 – Mar 2018 Student Researcher, Advisor : Yeong Woo Choi

Developed a CNN model to classify images of 13 ingredients taken from camera on mobile devices and optimized its performance.

Incorporated experimental data into two different image classification models, Alexnet and the 5 layered model, and analyzed recognition rate.

Deployed a mobile application using Android Studio and implemented the trained model into a mobile platform for classification task.

A DDITIONAL S K I L LS

Languages : Java, Python, C/C+, SQL, HTML, CSS, JavaScript Software : MS Visual Studio, Eclipse, Android Studio, MS SQL Server, MySQL, Anaconda, Microsoft Office Suite (Word, Excel, Powerpoint)

Fluent in Korean and English



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