Pengfei Tang

About Me

I completed a comprehensive undergraduate program and got my B.S. degree in Computer Science in June 2015 at Zhejiang University, a prestigious research university and ranked #4 in China by U.S. News & World Report in 2015.

As a top 0.5% student in the Province in the National College Entrance Examination of China, I was admitted into Zhejiang University in 2011. I took a lot of math, data analytics and programming courses, and finished several research/course projects such as MiniSQL-a mini database system design, Android based Low-Vision Aided Applications, Campus BBS Emotion Analysis Software by Data-Visualization and an Undergraduate Dissertation regarding robot and machine learning.

After graduation in June 2015, I started to work as a software engineer in Ctrip in Shanghai, China. I engaged as a team member in developing the latest software deployment system to improve the deployment process on a large number of servers, I also provided technique support for the software deployment system.

I was admitted by Emory as a Ph.D. student in Computer Science in 2016 after one-year industrial work. Data Privacy, Deep Learning and Machine Learning are my research areas, I have completed several releated projects and are still researching on these areas.

Curriculum Vitae

Ph.D. student in Computer Science (Class 2016), Emory University (Advisor: Dr. Li Xiong, Winship Distinguished Research Professor, Emory University)

B.S. in Computer Science, Zhejiang University, 2015

Data Privacy, Machine Learning, Deep Learning

C/C++, Java, Python, Tensorflow, HTML/CSS, PHP, MySQL, Processing

Ph.D. student in Computer Science, Emory University, Atlanta, Georgia. Aug. 2016 ~

Privacy-preserving Information Retrieval Model for k-NN queries on moving objects

• Apply the PIR technique to retrieve information from databases.

• Combine several pruning methods to reduce the computing costs for query plans.

Recurrent Neural Network for predicting the Onset of Sepsis

Built the Attentive Stacked Bi-directional Recurrent Neural Network with Tensorflow to predict the onset of Sepsis in ICU.

• Tuned the hyper-parameters to improve the performance.

Survival Analysis for GBMLGG and BRCA

• Applied PCA to select the features and

• Built the Linear Regression model on these features for the survival analysis.

Software Engineer, Ctrip, Shanghai, China Dec. 2015~Jul. 2016

• Engaged in developing the latest software deployment system to improve the deployment process on a large number of servers.

• Provided technique support for the software deployment system.

Undergraduate in Computer Science, Zhejiang University, China Sep. 2011~Jul. 2015

• Developed object classification and 3D coordinates positioning functions for robot arm grasping system based on object detection and Kinect. (Undergraduate Design Project).

• Developed a campus BBS emotion analysis software by matching keywords in the emotion dictionary to quantize emotion values and building a 3D visualization model using Processing.