Team D
Daitan Labs of Canada is a research company that creates innovative computer science solutions to modern day problems. In 2019, the Innovation Team at Daitan developed an audio denoising protocol using Convolutional Neural Networks (CNN). Team D has been tasked with building off the CNN project to build another denoising protocol using Generative Adversarial Networks and conduct an extensive study to determine which is the superior solution for this application. Once satisfactory results have been obtained, the Team will also publish their findings online for peer review in the hopes that it may one day provide guidance to another team attempting to solve a related problem.
Jacob Boness
Jacob Boness is passionate about technology and the improvements it can bring to modern life.
He has been a student in the sciences for almost a decade, and his breadth of knowledge covers a
wide variety of subjects ranging from classical theatre to tier 3 network protocols. To the GANAD
Project, he brings stringent organization, a strong work ethic, and years of leadership experience
in a variety of industries. After graduation, he wants to pursue his creative side and hopes to
become a game developer. Role: Developer
Jamie Thomassen
Colton Davenport
Colton Davenport has been interested in Software Development for many years. He enjoys
experimenting with and learning new solutions to software problems. In his own time he has
developed personal projects that satisfy his curiosity. Role: Developer
Team D appreciates the invaluable support and tutelage that Daitan Labs has provided them regarding not only their own project, but the industry they represent. They would like to thank their sponsors and contacts at Daitan: João Paulo Tavares Músico and Cleosson José Pirani de Souza, the ICS Department Chair: Saryta Schaerer, and each of the Capstone Project instructors: Katie Tanigawa, Benjamin Leather, Doug Greening, and Jonas Bambi.