Skip to main content
Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Prof. Ken Pu

Ken Pu
PhD

Associate Professor

Computer Science

Faculty of Science

My research area is in database. I am interested in novel algorithms and systems that enable us to better understand the world through data.

Contact information

Science Building - Room 4041
North Oshawa
2000 Simcoe Street North
Oshawa, ON L1G 0C5

905.721.8668 ext. 3444

ken.pu@ontariotechu.ca
http://db.science.uoit.ca/


Research topics

  • Open Data Over the Web
  • Pervasive and Mobile Devices
  • Code as Databases
  • Queries as Programs
  • Human Database Interaction
  • Data Science

Areas of expertise

  • Database
  • Programming Languages
  • Deep Learning
  • Cloud Computing

Background

Ken Pu received his PhD from the Department of Computer Science, University of Toronto. He joined Ontario Tech in 2006 where he currently holds the position of associate professor. Dr. Pu's expertise is in the area of databases, and his research interests include the theory and applications of databases, novel data analytical techniques to handle Big Data and Open Data. His current research focuses on automatic data understanding with deep learning.

Education

  • BASc University of Toronto 1998
  • MASc University of Toronto 2000
  • PhD University of Toronto 2006

Courses taught

  • CSCI 2000U: Scientific Data Analysis
  • CSCI 3030U: Database Systems and Concepts
  • CSCI 3055U: Programming Languages
  • CSCI 4020U: Compilers