Alumni

SE Capstone team TagBull aims to harness the power of video game players to train artificial intelligence systems. An AI system for an autonomous vehicle, for example, might be trained to recognize pedestrians from thousands of photos of street scenes in which the pedestrians have been labelled by a person who plays video games. The gamer would earn in-game rewards for their efforts, and the dataset owner would pay TagBull and the video game company for the labelling work.

SE Capstone team TagBull aims to harness the power of video game players to train artificial intelligence systems. An AI system for an autonomous vehicle, for example, might be trained to recognize pedestrians from thousands of photos of street scenes in which the pedestrians have been labelled by a person who plays video games. The gamer would earn in-game rewards for their efforts, and the dataset owner would pay TagBull and the video game company for the labelling work.

Fourth year SE students Spencer Dobrik, David Tsenter, Ryan Wang & Aaron Cotter are winners of the Spring 2019 Baylis Medical award for their health-tech capstone venture, Lukabox. Their aim is to solve medication non-adherence through an IoT pillbox that helps patients stay on top of their medication routines, while giving peace of mind to family members through seamless, real-time monitoring. They are thrilled to receive the Baylis Medical award and are proceeding with an initial round of user testing.

Congratulations SE 2019! All the best for the future!

We are proud to announce that SE student Céline O'Neil won the Karen Mark Scholarship. "The scholarship is awarded annually to a third-year Engineering undergraduate female student based on excellent academic achievement and demonstrated involvement and contributions to student life at Waterloo." Céline has contributed to EngSoc in a variety of important roles over the last three years, with titles including Director, VP, Commissioner, and Staff.

SE101 Teaching Assistant (and SE alumnus) Rollen D'Souza won the Sanford Fleming Foundation Teaching Assistant Award. Way to go Rollen! This award is based on nominations from the students, and recognizes Rollen's extraordinary commitment to and mentorship of the students in their first term at the University of Waterloo.

On June 16, 2018, the largest Waterloo Software Engineering class to date will be granted their Bachelor of Software Engineering (BSE) degrees. This year, 144 students have earned BSE degrees from the University of Waterloo, making a total of 1114 BSE degrees granted since the first graduating class in 2006. Are you one of those 1114? Stay in touch with us by mailing Patrick Lam, SE director, at se-director@uwaterloo.ca.

The Software Engineering Capstone Design Symposium will be on Tuesday, March 28, 2017. Presentations will run from 9AM to 3:30PM. Awards announced at 4:30pm. Poster booths and demonstrations will be in the Davis Centre Lobby. Presentations will be in rooms DC1302 and DC1304. The full schedule is listed below, including schedules for individual referees, and instructions for referees.

Breakfast and lunch will be served for participants (students, referees, coordinators, camera operators, etc).

Project abstracts are on the Capstone Design site.

The next big innovation to hit the marketplace could be among the Waterloo student projects on display at the annual Capstone Design symposia beginning March 16. 

Senior-year engineering students at Waterloo will exhibit projects ranging from a technology that reduces agricultural water waste through intelligent irrigation systems to a device that may help people with Parkinson`s disease avoid falls.

Lisa Tang graduated from Software Engineering at uWaterloo in 2006 and entered graduate school to pursue interests in Human Computer Interaction. In 2012, she graduated from the University of Saskatchewan with her PhD, specializing in Usability Engineering and Accessibility. Her thesis, titled "Producing Informative Textual Alternatives for Images" and sponsored by Microsoft Canada, specified a procedure for identifying information in an image while considering the importance of the information within a given context.