Engineering System

YANG F eihong

Email: ******************@*****.*** *******@****.*** *******@***.***

Mobile Phone: 302-***-**** (86-130********

Address: *** ***** ****, ******, **

S KILLS AND STRENGTHS

Solid knowledge and Affluent R&D experience in Software Engineering : Algorithm

Strong computational and programming skills: C/C++, Python, Java, Javascript, SQL

Operating systems: Linux(gcc/g++, gdb), Windows

Good command of English

EDUCATION

08/2013 Present University of Delaware Computer Science M.S.

09/2009 07/2013 Xidian University Software Engineering B.S. (GPA: 3.23)

RESEARCH EXPERIENCE

11/2013 Research on the Design and Implementation of maneuvering railway cars in

train yard.

First-hand experience of compare heuristic function efficiency(A*) with blind search

algorithm in AI system.

Performed deploying, running and debugging of the system.

03/2014 Build logic rules on DLY system and let the computer running on it and get

all the results of the rules

Implemented logic rules emulate the logic environment of AI system and base

on the environment get the best choice for current situation.

Performed deploying, running and debugging of the system.

05/2014 Base on the decision tree learning algorithm run experiment on real database

to perform predict for unknown class of instance base on the data provided.

Implement a decision tree learning algorithm, run experiment on real database for

which include an arbitrary number of continuous numeric-value features and an

arbitrary number of output classes and an arbitrary number of training instance.

11/2014 Implement a contextual retrieval system base on Google Place API.

Build a corpus base on Google Place API and given geographic coordinates and return

50 ranked suggestions for each profile/context pair. Profiles indicate a user’s preference

for a particular attractions. Contexts describe where the user physically is located and

what time of day, week, and year it is when the user is searching

Currently I’m also interested in the field of machine learning and data mining which

related to data analysis also I have finish the course about statistic which introduce

some useful models and methods in the field such as confidence interval and

significant test.

AWARDS AND RECOGNITION

10/2012 Third Prize in the “Challenge Cup” College Students' Extracurricular Academic

Science and Technology Work Competition

06/2011 Second Prize of Mathematical Modeling Contest

05/2010 Outstanding Individuals of the Student Union

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