A core problem in many computer vision applications is visual recognition (including object classification, detection and localization). Recent advances in artificial neural networks (aka ”deep learning”) have significantly pushed forward the state-of-the-art visual recognition performances. However, due to the lack of semantic structure modeling, most current deep learning approaches do...
Hybrid pixel detectors, comprising of pixelated sensors coupled to readout integrated circuits (ROICs) with complex in-pixel processing, are essential for many of today’s scientific instruments and imaging systems. Large-area detectors are required in a variety of systems: from detectors for synchrotron beamlines to telescopes for astronomy, which range from a...
Power and energy are becoming the limiting factors for computer designs and systems, and energy efficient functional units are getting more popular in such systems. Some of the design methodologies that are getting more common include voltage overscaling and employing imprecise instructions. These functional units need to be characterized correctly...
Quantum technologies have the capability of greatly increasing the security of communication systems. Many components are required for a full quantum network including memory, repeaters, routers, and detectors. The efficiencies of quantum communication technologies suffer greatly due to their inherent sensitivity to loss. Low-loss propagation and high detection efficiency can...
Abstract The work presented in this dissertation addresses three broad areas of video signal processing: video transmission, motion estimation and error concealment. In the first category, focused on the source-side, we present two machine learning models for efficient content-aware resource allocation and packet prioritization for video transmission over shared/constrained, lossy...
The rapid development of flexible electronics enables a huge amount of bio-integrated applications with advantages of the mechanical compliance, stretchability and comformability of the devices. My dissertation further advances this area by a series of projects, which include designing and optimizing novel compliant structures, proposing novel elastomer encapsulation process for...
In this thesis, the optical gain mechanism in low-light conditions of phototransistor detectors (PTDs) is explored. An analytical formula is derived for the physical limit on the minimum number of detectable photons for PTDs. This formulation shows that the sensitivity of the PTD, regardless of its material composition, is related...
The surge in smart phones, connected vehicles, and Internet-of-Things (IoT) has exponentially increased mobile data usage. While adding new spectrum is the most straightforward way to to meet the skyrocketing demands, the scarcity of spectrum resources and high cost for clearing spectrum make it the most expensive way. This has...
Mid-infrared lasers, emitting in the spectral region of 3-12 µm that contain strong characteristic vibrational transitions of many important molecules and two atmospheric transmission windows, are highly desirable for spectroscopy sensing, infrared countermeasures, and free space communications. Previously, single-element quantum cascade lasers (QCLs) have been demonstrated with up to watt-level...
Location awareness will be crucial for many future wireless network applications, such as the Internet of Things (IoT) and vehicular networks. In particular, the IoT will connect a massive number of new devices to wireless networks. Localization solutions that work in urban environments and have solutions which scale well with...