Past Events

The NASA Space Apps Challenge is an intense 48-hour international hackathon hosted simultaneously in over 100 cities around the world. This is the second year the Waterloo hackathon will be held at Communitech. This event is aimed at solving some of NASA’s most complex challenges. They enable participants to solve these challenges by making their enormous amounts of data open and available through the openNASA initiative.

Title: Convolutional Neural Networks for Morphological Feature Identification in Pre-Harvest Crops   Abstract:

Title: BHive: Behaviour-Driven Development Meets B-Method Abstract:

Guest Speaker: William M. Farmer, Professor, McMaster University

Title: Towards a Comprehensive Web Service Recommendation Framework Abstract:

Title: Selection of Appropriate Techniques for the Personalization of Software Systems Based on Characteristics of Available Data Abstract:

Title Novel Statistical Approaches to Estimating Intraspecific Sample Sizes for Animal DNA Barcoding Abstract

As part of the graduate technical communications course, this year's graduate students are putting on a poster session, where they are presenting posters they have created based on their area of research.  Please feel free to attend and talk to the students about their poster and research area. Evaluation forms will be available so you could provide feedback to the students if you wish. 

As part of the graduate technical communications course, this year's graduate students are putting on a poster session, where they are presenting posters they have created based on their area of research.  Please feel free to attend and talk to the students about their poster and research area. Evaluation forms will be available so you could provide feedback to the students if you wish. 

Upper-level ontologies provide the basis for domain ontologies enabling reuse by providing consistent and common terms, as well as an organizational structure. However, upper-level ontologies only provide very high-level terms which requires significant work before a domain expert can define any domain terminology. Mid-level ontologies build off of upper-level ontologies by providing terms and axioms that are common across many domain-level ontologies to help produce ontologies faster and easier.