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 objective of this proposal is to study Littlewood cyclotomic polynomials of odd degree. In algebra, the cyclotomic polynomial is one such that has all its roots on the unit circle. Since all the coefficients of Littlewood polynomials are -1 or +1, its associates a finite binary sequence with -1 or +1 entries. Therefore, their […]

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 […]

Body composition, i.e., the proportion of fat and muscle tissues in the human body is related to the risk factors associated with a host of medical conditions. The muscle and fat tissues are target locations for the water- and fat-soluble drugs respectively used for cancer treatment. Consequently, the proportions of these tissues are believed to […]

The first step is reviewing what has already been done in the lab and around the globe. Then we will Identify the biomarkers to target and techniques that can be used to do so. Next is to design a device in such a manner that the desired interaction is happening for efficient sensing of the […]

The candidate will utilize his knowledge and experience in transmission line modelling to implement test cases required for the Transient Over-Voltage studies. The simulations will be performed using well-known computer packages available at BC Hydro and Power labs at UBC as well as programs written by the candidate to implement the recently developed line model […]

This research explores the concept of Internet of Things and how the current technology of smartphones can be used to improve the continuous health monitoring of pregnant women across the globe. A very convenient and cost-effective system has been proposed to ensure a completely non-invasive way of collecting the biometric data of pregnant women and […]

This research project deals with categorizing women belonging to different developing countries into different health risk segments and sub segments and subsequently analyze patterns of diseases/infections in various geographical regions accordingly by using Optimized machine learning approach. XgBoost algorithm would be implemented to achieve this goal among other existing algorithms as this offers better model […]

Despite the fact that neural networks have been widely applied in practice, training such networks can suffer from slow convergence, poor local minima and some other difficulties such as catastrophic forgetting. Such shortcomings severely undermine the applicability and usefulness of neural networks. The objective of this project is to identify the reasons behind such difficulties […]

Antibiotics are used to treat bacterial infections. Interactions between certain antibiotics and medicines may cause side-effects and decreased effectiveness of antibiotic therapy. Quite often, the prescription consists of multiple antibiotics to treat infections caused by different kinds of bacteria and it requires thorough knowledge of the interactions among these antibiotics and other medicines. For example […]

Democratisation of audio technology has enabled music production on limited budgets, putting high-quality results within reach of anyone who has access to a laptop, a microphone and the abundance of free software on the web. Similarly, musicians are able to share their own content at very little cost and effort, again due to high availability […]

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase […]