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Biography

Increasing software sophistication in everything from mobiles phones and computers to vehicles, and smart appliances offers greater convenience and capabilities to consumers. Advances in technology also give way to software bugs that are increasingly difficult to find and fix. Jeremy Bradbury, PhD, Associate Professor and Graduate Program Director of Computer Science, leads Canada’s first research into automatic bug detection and repair. He heads UOIT’s Software Quality Research Lab, and has developed algorithms to automatically locate the most likely places in code where a bug exists, then modify the program to ensure the software continues to perform optimally. A software testing and analysis expert, Dr. Bradbury’s research success means that his work remains undetected and is aimed at automatic repair of concurrency bugs, analysis of open source projects, learning debugging through games, prediction of mutation scores, testing of concurrent software using clone detection, and visualization of thread interleavings. Many of today’s computers still run software that was written over a decade ago. Despite the release of faster processors, outdated software slows down overall computer use. Dr. Bradbury’s core research focuses on improving the quality of multicore processors to enable concurrent software to operate more efficiently. He also co-developed UOIT’s Human-Centred Computing Lab, designed for conducting controlled experiments that allow researchers to better understand and evaluate how people interact with leading-edge computer technology. Dr. Bradbury joined UOIT 2007 as an Assistant Professor, and was appointed Undergraduate Program Director of Computer Science from 2011-13 where he developed a Computer Science program relevant to current technology and related to industry application and partners. For his work, he was named Associate Professor in 2013. In the classroom, Dr. Bradbury uses innovative technology and online platforms such as Slack and YouTube to engage students in computer science education. Fascinated by the nature of problem-solving and computer-based applications, Dr. Bradbury received his Bachelor of Science in Computer Science and Mathematics, First Class Honours with Distinction in 2000 from Mount Allison University in Sackville, New Brunswick. He earned his Master of Science in Computing and Information Science and his Doctorate in Computer Science both from Queen’s University in Kingston in 2002 and 2007, respectively.

Tweets from @jeremy_bradbury


Expertise


Teaching Representative, UOIT Board of Governors

September 1, 2015

Dr. Bradbury has been elected as a Teaching Representative on UOIT's Board of Governors for a three-year term from 2015-18.

RAISE 2012 Best Paper Award

January 1, 2012

Dr. Bradbury received the award for his paper Predicting Mutation Score Using Source Code and Test Suite Metrics, at the Workshop on Realizing Artificial Intelligence Synergies in Software Engineering.

Consortium for Software Enginnering Research (CSER) 2011 Best Poster Award

October 1, 2011

Awarded one of three Best Poster Awards at the 2011 CSER Fall Meeting for his work Eclipticon: Eclipse Plugin for Concurrency Testing.

SoftVis’10 Best Poster Award

October 25, 2010

Dr. Bradbury received this award for his poster An Interactive Visualization of Thread Interleavings at the 5th ACM Symposium on Software Visualization (SoftVis'10).

School of Computing Award for Excellence in Teaching Assistance

June 1, 2003

Dr. Bradbury received this award for his contributions to teaching at Queen's University from 2002-03.

Ian A. Macleod Award

June 1, 2003

Given to the graduate student who has made the greatest contribution to the intellectual and social spirit of the School of Computing, Queen's University, 2002-03

Queen's University

2007
PhD - Computer Science

Queen's University

2002
MSc - Computing and Information Science

Mount Allison University

2000
BSc - Computer Science and Mathematics
First Class Honours with Distinction
  • Testing and Analysis of Concurrent and Heterogeneous Computing Software

    $75000  | April 1, 2013

    Awarded by: NSERC Discovery Grant
    This collaborative five-year research grant expands upon previous research in software testing and analysis in several key areas. This project aims to improve the quality of concurrent and heterogeneous (multicore + manycore) software, and develop better tools to improve the speed and accuracy of assessing this software through automatic testing and analysis techniques. Another key area of this project builds on creating enhanced algorithms for automatic bug detection and repair, as well as automatic debugging in which an algorithm can automatically locate code with the highest probability for a bug to exist.

  • Laboratory for Human-Centred Computer Science Research

    $21152  | January 1, 2012

    Awarded by: Canada Foundation for Innovation Leaders Opportunity Fund
    Dr. Bradbury is principal investigator of this research in UOIT’s Human-Centred Control (HCC) Lab, which was designed for conducting controlled experiments that allow researchers to better understand and evaluate how people interact with leading-edge computer technology. Research in this lab falls under three main themes: information visualization, software engineering and computer security. In all three themes, a novel research approach focuses on the usability perspective of innovative prototypes and tools in new and emerging environments (e.g., mobile devices, large touch displays).

  • Association of Computing Machinery (ACM)

  • ACM Special Interest Group on Software Engineering

  • Institute of Electrical & Electronics Engineers (IEEE)

  • IEEE Computer Society

  • Consortium of Software Engineering

Involvement


  • Past speaking engagements
    • Automatically Repairing Concurrency Bugs with ARC

      Saint Petersburg, Russia
      August 19, 2013

      1st International Conference on Multicore Software Engineering, Performance, and Tools

    • Effectively Using Search-Based Software Engineering Techniques Within Model Checking and its Applications

      San Francisco, California
      May 20, 2013

      2013 1st International Workshop on Combining Modelling and Search-Based Software Engineering

    • Using Combinatorial Benchmark Construction to Improve the Assessment of Concurrency Bug Detection Tools

      Minneapolis, Minnesota
      July 15, 2012

      International Symposium on Software Testing and Analysis

    • Predicting Mutation Score Using Source Code and Test Suite Metrics

      Zurich, Switzerland
      June 5, 2012

      2012 First International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering

  • Links

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