In this dissertation, we aim to investigate advanced methods for the computational analytics of large-scale neuro-morphological datasets, which can help neuroscientists i[...]

How a person interprets music and what prompts a person to feel certain emotions are two very subjective things. This dissertation presents a method where a system can le[...]

Text analytics represent a set of scalable techniques that mine unstructured and semi-structured textual resources in order to extract useful knowledge for performing a t[...]

With the rapid increase of the cyber-attacks, threat information sharing has become essential to understand and defend against cyber-attack in a timely and cost-effective[...]

Recognition and separation of sounds played by various instruments is very useful in labeling audio files with semantic information. This is a non-trivial task requiring [...]

The explosively increasing digital photo urges for an efficient image retrieval system so that digital images can be organized, shared, and reused. Current content based [...]

Traditional Information Retrieval systems present with vast, relevant information as a response to the user search query, which usually consists of different semantic gro[...]

We consider the problem of privately updating a message out of $K$ messages from $N$ replicated and non-colluding databases. In this problem, a user has an outdated versi[...]