Received radio frequency (RF) signal strength provides a cost-effective mechanism for distance estimation that is popularly used for range-based localization in wireless [...]

The availability of OpenCL High-Level Synthesis (OpenCL-HLS) has made FPGAs an attractive platform for power-efficient high-performance execution of massively parallel ap[...]

Single image depth estimation has always been a key interest in computer visioncommunity. Although depth estimation from a single monocular image still is anill-posed pr[...]

In machining, specific cutting forces and temperature fields in the shear zones are of primary interest. These quantities depend on many machining parameters, such as th[...]

In this dissertation, I present my researches on the co-design of algorithms and architectures for deep spatial and temporal separable convolutional neural networks and t[...]

Software bugs result in a variety of issues including system crashes, loss of system performance, incorrect output and security vulnerabilities. In this thesis, we explor[...]

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[...]

As secondary storage devices get faster with flash based solid statedrives (SSDs) and emerging technologies like phase change memories (PCM), overheads in system software[...]

The radio spectrum is a limited natural resource and the increase of wireless devices operating in the unlicensed bands of the spectrum has led to its overcrowding result[...]

Recent advances in Deep Learning have made possible distributed multi-camera IoT vision analytics targeted at a variety of surveillance applications involving automated r[...]