Java, Python, Javascript, SQL, HTML, XML, Json, CSS

Ding Luo

** ****** **., *** *, Malden, Massachusetts, 02148

*******.***@*****.*** • 617-***-****

Northeastern University, Boston, Massachusetts, USA Jan 2013 – Jan 2015

EDUCATION

Master of Science (M.S.) in Electrical and Computer Engineering

Related coursework: Foundations of Artificial Intelligence, Database Management Systems,

Introduction to Algorithms, Computer Vision, Machine Learning, Data Mining Techniques.

Beijing University of Posts and Telecommunications, Beijing, China Sep 2007 – May 2011

Bachelor of Science (B.S.) in Mechanical Engineering and Automation

Self-motivated, have demonstrated analytical and problem solving skills.

SELF

EVALUATION

Software development, Web development, Object-oriented programming, Database management, Data

STRENGTH AND

structures and algorithms, Computer Vision, Data mining, Machine learning.

EXPERTISE

Java, Python, C++, JavaScript, SQL, jQuery, HTML, XML, JSON, CSS, Linux.

TECHNICAL

SKILLS

Eclipse, NetBeans, ArgoUML, MatLab, PyCharm, LaTex.

TOOLS

Citations Predication Based on Data Mining Techniques, Spring 2015

ACADEMIC

• Successfully predicted the Top 10 references for a paper, using authors, topics, target publication venues, and time

PROJECT

of research paper.

EXPERIENCE

• Completed 2 billion experiments on real datasets, showing the prediction of the Top 10 references for a chosen paper;

produced an excellent Kaggle (TXT dataset with 5GB).

• Manually cleaned and analyzed the test data set to classify or cluster the data into several clusters or bunches.

• Proposed new methods and models to capture both document similarity and potential citation relationship, comparing

with traditional topic modeling approaches.

Spring 2015

Music Genre Classification

• Predict music genre based on the content of audio files.

• Using the Fast Fourier Transform and Mel Frequency Cepstral Coefficients to extract music features.

• Classified models by using Linear Regression, K-Nearest Neighbor and Decision Tree Classifier.

• Evaluated the method by using precision and recall, receiver operator characteristics and confusion matrix, described

the classifier’s performance by using the area under the curve and test errors, achieved the accuracy of 92.6% finally.

• Completed the experiments by using NumPy, SciPy, Matplotlib in Python.

Spring 2014

Target Tracking

• Based on the Circulant Matrix (CM) tracker, implemented an occlusion detection test, by improving the code using

a test to the measure the response of the filter against the rest of the search window.

• Adapted template size and orientation of CM tracker on real time for better tracking performance.

• Improved CM tracker’s performance by using the target’s location history data.

Spring 2014

Object Category Detection

• Implemented object detection by using Generalize Hough Transformation.

• Generated a vocabulary and GHT translation vectors by using the given training cropped images.

• Used Harris Corner Detector to collect interesting points with a two-dimensional structure.

Fall 2013

Cache Simulator for Replacement Policy

• Developed a cache simulator with C++ on Linux.

• Implemented two different Pseudo-LRU replacement policies (Tree-based Pseudo LRU and MRU-based Pseudo

LRU), and compared the performance with FIFO policy.

• Using Pintool to generate memory trace with memory access for test.

Euroimmum Medical Laboratory Diagnostics Stock Company INC, Beijing, China

WORK

EXPERIENCE Quality assurance internship Jan 2011 – Dec 2011

• Tested the main function module and performance parameters of automation products.

• Accurately tracked test progress, analyzed the test data by using MatLab, and completed 60+ test reports.

• Worked closely with Research and Development to ensure the quality of each product.

Play the piano, cooking, swimming.

INTERESTS

1

Contact this candidate