Solving large–scale non–smooth stochastic optimization problems

Machine learning focuses on writing computer programs that can ‘learn’ from data. This is becoming increasingly important, as we try to understand the huge amounts of complicated data we are collecting (both in academia and in industry). While machine learning is one of the key tools we use analyze large datasets, it often has trouble […]

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Species tree inference from multi-labeled gene trees

Reconstructing the tree of life, which depicts the evolutionary history of today’s existing species, has been a central goal of evolutionary biology ever since Darwin. Each species is composed of a set of genes, which can be grouped into families. The DNA sequences of genes can be used to infer a gene tree for each […]

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A Model-Driven Framework for Meta-Data Harmonization in Business Intelligence

Datasets obtained from different sources are often heterogeneous: they do not share a common internal structure, even though they are nominally about the same subject matter. This makes reporting against datasets difficult without laborious, manual efforts to clean and transform the data. This project will investigate the feasibility of an approach to abstract the harvesting […]

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Design and Implementation of Bio-Inspired Student Clustering Approach Based on Students’ Annotations on Web-based Reading Materials

When students read a book, they usually annotate important words in the text. Students may perhaps miss some important information while reading the book. If students are reminded about the potentially important annotations, they may achieve better academic performance later, in terms of having better marks for written exams, quizzes, and other learning activities. With […]

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Secure Outsourcing of Storage and Computation

The rise of cloud technologies and the proliferation of mobile devices have revolutionized data storage and their processing. Amongst numerous benefits, cloud technologies offer a flexible way to outsource storage and computation to the cloud vendors. As a result, sensitive data often end up being managed on remote servers maintained by third party outsourcing vendors. […]

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Multidimensional Tactile Displays and their applications for Wearable Devices

Engaging with visual displays is not always feasible or desired. They could be absent in certain contexts due to their fragility, cost or high battery consumption. Visual attention could be engaged elsewhere in an activity or be impaired due to disabilities. With the rise of wearables that remain in constant, sturdy contact with the skin, […]

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Automatic Resizing Framework for Time-Varying Non-Space Filling Visualizations

We propose the development of an automatic resizing framework for time-varying visualizations. This framework would support easy deployment of visualizations on a multitude of devices with varying display sizes. The second objective of the project is to address issues of data is interpretation that could arise as a result of visualization resizing through the use […]

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Term Extraction for Micro-domain Ontology in Personalized Search

The objective of this project is to improve the quality of results returned by a search engine by incorporating the user’s prior search history. By adding contextual information about the user, we are able to better understand their needs and provide information tailored specifically for them. A unique, customized ontology is created to best model […]

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Automatic Image Filtering Using Deep Learning

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since images are of the most important data shared by social networking apps, an important problem for the company is to identify images that are unsafe or inappropriate. In particular, images containing certain objects (e.g. knife, gun, bikini, etc.) […]

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