The study and design of machines that are able to analyze the auditory scene and organize sound into parts that are perceptually meaningful to humans is referred to as machine hearing. Such machines are expected to distinguish between different sound categories (e.g., speech, music, background noise), focus on a sound...
Colloidal crystals are promising candidates for nanophotonic applications due to their strong interactions with light and the capability to tailor such interactions through crystal design and engineering. DNA-programmable assembly, in particular, allows for precise structural control down to the sub-nanometer length scale. In this thesis, ways of designing, synthesizing, and...
Super-resolution (SR) has become one of the most critical problems in image and video processing. In Chapter 2 of this thesis, a detailed review of existing Deep Learning (DL) techniques for addressing the SR task, with an emphasis on how DL and analytical techniques can be combined, is provided. Chapter...
The commercial success of personal computing has led to the rapid creation and proliferation of diverse electronic systems including desktops, laptops, tablets, mobile devices, and embedded systems. For the past five decades, silicon has served as the base material for computing electronics. However, with increasing demand for unconventional electronics (e.g.,...
Convolutional neural networks have become a staple in computer vision and image processing tasks. The capacity for these networks to perform visual pattern recognition in a data-driven fashion has prompted explosive growth in a myriad of applications. That said, despite their popularity, there are still facets of these networks that...
Recent encouraging advances in computer vision and natural language understanding shed light on a very interesting yet challenging task: asking and answering questions about a given image (VQA). The study of this research problem is still in its infancy. Most existing VQA methods are neural network-based (NN-based) solutions that pursue...
Low-dimensional materials have emerged as a promising platform for ultrathin electronic and optoelectronic devices. The span of electronic properties covers the spectrum from metallic through small and medium bandgap semiconductors to large bandgap insulators, providing all the necessary components to fabricate a variety of devices. Compared to bulk-semiconductor based devices,...
Demand Response (DR) is an approach that allows electricity users to actively participate in keeping supply-demand balance in power systems, or its future version, smart grid, in order to increase the system efficiency, lower consumers' electricity bills, and thus improve social welfare. To encourage users' participation in DR, a time-varying...
With the growing size of networks and datasets and the lack of centralized access to information, distributed control and optimization become inevitable. In the first part of this thesis, we develop an asynchronous Newton-based distributed optimization algorithm and analyze its convergence properties. Our algorithm benefits from the fast convergence properties...
Every object emits radiation depending of their temperature. Objects between 300K to 100K emit radiation in the infrared range (1-12µm). These radiations cannot be seen by the human eyes. Infrared detectors find applications in many aspects of life, from night vision and target tracking for homeland security and defense, to...