SDE intern

Tianhao Zhou

Add:*** ** St., Brooklyn, NY *****

Tel: +1-917-***-**** Email: ************@*****.*** EDUCATION

New York University

Aug. 2019 - Present

M.S. in Computer Engineering

Tandon School of Engineering

Northeastern University Liaoning, China

Sept. 2015 - Jun. 2019

School of Computer Science and Engineering Overall GPA: 83% Telecommunication Engineering

ACADEMIC PRACTICES

Report: Summary of the promising

architecture of Ultra-dense Network for 5G and extended discussion of relate parameters and metrics Content: Several parameters and metrics are introduced to evaluate the capacity or performance of UDN in order to analyze the feasible deployment. A summary of one of the most promising architecture of ultra-dense network

(UDN) -- the de-cellular architecture for user-centric ultra-dense network (UUDN) is given. A discussion about the reasonable considerations or challenges for UDN is displayed. Presentation: Ultra-dense networks for 5G deployment

Report: A sphere-based efficient detection method for smart home scenario Content: A MIMO channel-based SD algorithm applied in smart home field. INTERNSHIP&WORKING EXPERIENCE

China National Software July. 2016 - Aug. 2016

Position Intern

Job responsibility:

Took in charge of skin changing of the apps via Qt.

Assisted the APP interface maintenance

Shenyang Xinyue Hongye Technology Co., Ltd July. 2017 - Aug. 2017 Position Intern

Job responsibility:

Participated in the designing a temperature sensing system.

Responsible for the data collection on the mobile terminal. Institute of Automation of the Chinese Academy of Sciences Position Research Assistant

Job responsibility:

July. 2018 - Aug. 2018

Report: Temperature data collection system

Content: Focusing on the application of temperature acquisition in smart homes. GPA: 3.625

Worked with other team members to write a report about a more efficient patent of MIMO detection algorithm in the smart home application scenario.

New York University, ECE Department

Position Research Assistant

Job responsibility:

Deal with data of indoor localization using Matlab and use Knn, Krr algorithm to predict the strength of signal in certain position.

Accomplish a ray tracer to simulate signal data in certain indoor configuration. Skills

Programming language

Tools

C++, Java

eclipse, Visual Studio Idea

Aug. 2019- Aug.2020

Contact this candidate