Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Smart Phones are fast becoming ever-present personal assistants – personal assistants which become more useful and productive with the inclusion of Natural Language Processing power. For many users, smart phones have become their go-to-device for industry news feeds, checking email and scheduling their agenda. The sheer quantity of text which is read on these devices, […]

On assiste ces dernières années à des performances de calcul des processeurs graphiques permettant le traitement en temps réel d’images et de vidéos. Ce projet exploite ce type de technologie afin de développer un module embarqué pour des applications d’apprentissage profond et de vision par ordinateur. Un des objectifs principaux du projet consiste à développer […]

The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by […]

Digital advertising is a rapidly growing industry, commonly seen on Facebook and Google. However, most people who start promoting their business with Internet Ads are not professional and experienced marketers. They need help to design and launch ads campaign, especially on writing ads copies. Meanwhile, people have started to embrace AI technologies in the industry […]

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints. Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. […]

Clinical logistics has more than 20 years of experience in providing clinical samples to some of the largest pharmaceutical companies for the clinical studies. These samples are mainly used in clinical studies for research and development of new drugs. Thus the quality and timely provision of sample is of utmost importance. Currently the operation of […]

The aim of this project is to explore the automation of tree selection, which consist of selecting which trees to cut in a forest harvesting operation. When selecting a tree, one must consider multiple characteristic of the tree: its size, its position relative to other trees, its health and many other things. We begin this […]

Regulations are introduced to ensure the well-being, safety, and other societal needs of citizens and organizations. Yet, regulators often have difficulties assessing the performance of their regulations, and whether regulatory initiatives actually improve compliance. This project’s main objective is to investigate the suitability of a framework combining a standardized goal modeling notation with an existing […]

This Project is an continuation of our SIGGRAPH Asia 2017 paper on “Learning to Group Graphical Patterns”. The paper introduced a novel deep learning approach for grouping discrete patterns common in graphical designs. The approach was based on a convolutional neural network architecture that learns a grouping measure defined over a pair of pattern elements. […]

The project involves the modeling of the metabolism of TB. I developed an algorithmic pipeline called MetaMerge, which allowed me to reconcile differences in format, nomenclature, and annotation, between two models of TB metabolism. MONGOOSE, another doctoral project of mine, is a tool for analyzing metabolic network models in exact arithmetic, resulting in consistent, reproducible […]

This project will expose the intern to key design, implementation, and evaluation research activities in human-computer interaction (HCI). We have recently started exploring the concept of social curation of software help content by developing a novel web-based platform, Social CheatSheet, that overlays relevant community-curated instructions and multi-step tutorials atop any web application and offers an […]