Qi Zhao

40 St. George St. · Department of Computer Science, University of Toronto · (416)-666-0743 · qizhao@cs.toronto.edu

I am a MScAC student from the Department of Computer Science at University of Toronto.


University of Toronto

Master of Science in Applied Computing (MScAC)
Department of Computer Science

Courses(finished): Advanced Topics in Mobile and Pervasive Computing: Edge Computing, Machine Learning & Data Mining, Introduction to Data Science & Analytics

Courses(ongoing): Topics in Storage Systems, Computer Graphics, Topics in Machine Learning: Machine Learning for Health, Topics in Knowledge Representation & Reasoning: AI Automated Planning

September 2018 - December 2019

Xi'an Jiaotong University (China)

Bachelor of Engineering (BEng)
Department of Computer Science and Technology, School of Electronic and Information Engineering

GPA: 3.58 / Average Score: 86.55

September 2014 - June 2018

National Taiwan University of Science and Technology (Taiwan)

Student Exchange Program
Department of Computer Science and Information Engineering, College of Electrical and Computer Engineering

GPA: 4.07

September 2016 - January 2017


Teaching Assistant

University of Toronto, Toronto, Canada
  • Organized and led CSC258 Computer Organization (prof:Steve Engels) course tutorials in fall and winter 2018, fall 2019.
  • Provided students with one-on-one tutoring on programming Verilog code and understanding course material.
  • Summarized common problems found during teaching and marking to help professors improve course design.
  • Demonstrated exceptional communication and leadership skills in a team-based environment.
  • September 2018 – December 2019

    IT Consultant Intern

    Sichuan Communication Design, China Comservice, Chengdu, China
  • Coordinated the network development among digital TV set-top boxes and designed an initial version of the database.
  • Designed webpage for front-end users via interfaces with the back-end database using the AngularJS framework.
  • Supported the Online Intelligent Fault Diagnosis System for set-up boxes and created the client-side web application.
  • July 2017 - October 2017


    Course Projects, University of Toronto, Canada

    SMPE: Stock Market Prediction on Edge, Edge Computing
    September 2018 - December 2018
  • Established a three-layered LSTM prediction model using Python TensorFlow and deployed it in an Android mobile app.
  • Built a mobile-edge-cloud system on Python Flask to offload stock market prediction from Microsoft Azure Cloud into the edge server and reduced latency by more than 35%.
  • Click here to SMPE Project Report or Slides
    Vehicle Collision Analysis in Toronto, Data Science and Analytics
    September 2018 - December 2018
  • Streamlined open-source vehicle collision database in Toronto to construct the best-fit prediction model utilizing Python.
  • Proposed feasible solutions to problems revealed from model to facilitate adequate preparation for possible future collisions.
  • Click here to Project Report , Slides or Download the Project ipython Notebook

    YLAB Wireless Network and Network Security Lab, Xi’an Jiaotong University, China

    Dynamic Guidance Decision Algorithm in Intelligent Transportation Systems
    October 2017 - May 2018
  • Implemented a dynamic real-time route guidance algorithm with en-route decision making strategy through MATLAB which can significantly reduce travel time and improve traffic efficiency.
  • Click here to DRGE Project Report(in Chinese) or one page Abstract(in English)
    Wi-Fi Selector for Android Devices
    March 2017 - July 2017
  • Designed the graphic user interface and functions of the Wi-Fi Selector application in Java.
  • Created a MySQL database within the framework of the application to load data into the Tomcat server.

  • Skills

    Programming Languages & Tools
    • C++
    • C
    • Python
    • MATLAB
    • Java
    • Html
    • Angular
    • MySQL
    • Sqlserver
    Other Skills & Knowledge
    • Assembly Language
    • Computer Organization and Architecture
    • Embedded Systems

    Awards & Honors