The advancement of technology has enabled us to collect increasing quantities of spatial and spatiotemporal data at rapidly increasing rate through sensor systems, automa[...]

Sparse linear algebra operations are very important across many areas of science. Therefore, efficiently finding ways to perform these matrix computations is essential. T[...]

This dissertation is broadly concerned with the subsystem problem for subshifts on countable amenable groups: given a subshift $X$, what are its subsystems and can they b[...]

The increased size of data sets is driving the need for increased memory storage andspeed. Persistent memory, PMEM, has emerged as a new solution to the problem. It place[...]

Hybrid mobile apps are becoming increasingly popular for building cross-platform mobile applications, where the core business code of apps is written using web technologi[...]

The availability of OpenCL for FPGAs along with High-Level Synthesis tools have made them an attractive platform for implementing compute-intensive massively parallel app[...]

AI processing has been a big area of focus for the research community for quite some years. The growing computation capability of edge devices has allowed Computer Vision[...]

In recent years, there has been a continuous increase in tech and programming, and as a result, more students in high school and college are going into the field of Compu[...]

Computer vision applications are essential for demonstrating practical applications and capabilities of advanced algorithms for real-world use. These demonstrations must [...]

As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a pa[...]