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KE SHAO

Glen Head, New York ***** 512-***-**** ad22ja@r.postjobfree.com

EDUCATION

• M.S. in Computer Science (GPA: 4.0) Eastern Michigan University (EMU) September 2020 – September 2023

• B.S., M.S. & Ph.D. in Aircraft Design Beihang University (BUAA) September 2000 – July 2010

KEY SKILLS

• Related Coursework

Computer Architecture, Operating System, Distributed System, Database Management Systems Design, Software Design and Development, Big Data, eCommerce and Web Database Infrastructure, Design and Analysis of Algorithms, Artificial Intelligence, Algorithms in Bioinformatics, Machine Learning Algorithms, Deep Learning Algorithms, Probability Theory, Data Analytic, Advanced Linear Algebra, Advanced Calculus

• System Engineering

Database Implementation and Large-scale Data Processing (e.g. MySQL, MongoDB, Cassandra, Hadoop, Spark, and Solr), Multi-threaded Programming, Version Control System and Workflow (Git), Containers and Container Platforms (Docker)

• Machine Learning and Deep Learning

Data Visualization (e.g. matplotlib), ML Algorithms, DL Algorithms (e.g. TensorFlow), Model Development (e.g. Natural Language Processing models), Quantitative Analysis

• Hardware Engineering

Digital Logic Circuits Design & Simulation (e.g. Logisim)

• Programming Languages

Java, JavaScript, Python, SQL, C/C++, MATLAB, Fortran, Data Structure and Algorithm WORK EXPERIENCE

Software Engineer Intern Entrepreneurship & Technology Innovation Center Summer 2023 Postdoctoral Fellow Shanghai Jiao Tong University 2010 – 2013 SELECTED PROJECTS

• ECommerce Shop

Designed and built a REST API using Commerce.js and React.js as backend and frontend respectively, and deployed it using AWS.

• Cross Amazon

Executed a full software development life cycle using Scrum & Agile Methodologies: designed and built a website like Amazon using MERN stack (MongoDB, Express, React, and Node).

GitHub: https://github.com/COSC481W-2021Fall/capstone-snack-attack

• Dragonfly Software

Created a custom software in Python with a web-based interface powered by Django to attain images of target items and identify the items simultaneously using the real-time object detection algorithm YOLO.

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• Rewards-REST-API

Built a REST API that calculates and returns the reward points using Spring Boot. GitHub: https://github.com/SuperRedTrain/Rewards-REST-API

• Microarray Datasets Analysis

Analyzed large genomic data using supervised/unsupervised learning algorithms in MeV and MATLAB.

• Registration System

Designed and implemented a registration system for students in the Computer Science Department using MySQL.

GitHub: https://github.com/SuperRedTrain/CourseRegistration-Database

• Gust-Response-Alleviation Control System

Designed and implemented a gust-response-alleviation control system based on Fuzzy Neural Networks (Ph.D. dissertation).

• Machine Learning (Kaggle) Competitions

v TalkingData AdTracking Fraud Detection Challenge (171st of 3946) Predicted whether a user would download an app after clicking a mobile app advertisement using Light Gradient Boosting Machine (LightGBM), Neural Networks

(NNs) and XGBoost.

v Avito Demand Prediction Challenge (118th of 1871) Predicted demand for an online advertisement based on its full description (title, description, images, etc.), its context (geographically where it was posted, similar ads already posted) and historical demand for similar ads in similar contexts using LightGBM and NNs.

v TGS Salt Identification Challenge (215th of 3229) Identified if a subsurface target is salt or not using pre-trained UNet and VGG16. AWARDS & HONORS

• Outstanding Graduate Award of Computer Science in EMU April 2022

• National Natural Science Foundation of China (# 11372178) August 2013

• Professor HE Qinzhi Memorial Scholarship May 2010

• Excellent Graduate Students of BUAA December 2008

• Professor HE Qinzhi Memorial Scholarship May 2005

• 3rd Prize in 13th Fengru Cup Technological Works Competition June 2003

• Second Class Study Scholarship December 2002

• Excellent Student in Scientific and Technological Activity June 2002

• 1st Prize in 12th Fengru Cup Technological Works Competition June 2002 SELECTED PUBLICATIONS

• K. Shao, C. Yang, Z. Wu, H. Liu, B. Wen. Design of a gust-response-alleviation online control system based on neuro-fuzzy theory. Journal of Aircraft, 2013, 50(2): 599-609.

• K. Shao, Z. Wu, C. Yang, L. Chen, B. Lv. Design of an adaptive gust response alleviation control system: simulations and experiments. Journal of Aircraft, 2010, 47(3): 1022-1029.

• K. Shao, Z. Wan, C. Yang. Control surfaces efficiency analysis of flexible aircraft based on experimental aerodynamic forces. Acta Aeronautica et Astronautica Sinica, 2009, 30(9): 1612-1617.

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