Spectrum overcrowding, ever increasing demand for high data rate and increased mobility requirements are three major challenges 5G-technology is trying to address. In this thesis I start with a RF front-end technique that deals with blocker interference arising from spectrum overcrowding both across frequency bands and within the same frequency...
Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
In this paper, a Direction of Arrival (DOA) based system is proposed. This method searches the direction relative to the array to find where the signal source is located. The proposed system can achieve sub-meter level accuracy with a near real-time update rate. Also, we introduced several refinement methods including...
Impedance measurements are increasingly demanded in modern CMOS sensing systems as impedance is the most common electrical signal obtained from sensors, delivering physical, chemical and biomedical quantity changes. Impedance sensing for wide interested frequency, broad dynamic range, and various sensor interfaces has numerous challenges, especially targeted in CMOS miniaturization with...
The uncontrolled growth in domains such as surveillance systems, health care services, and finance produce a large amount of data and contain potentially sensitive data that can become public if they are not appropriately sanitized.
Motivated by this issue, we introduce a privacy filter (PF), a novel non-negative matrix factorization...
Throughput-oriented processors, such as graphics processing units (GPUs), have been increasingly used to accelerate general purpose computing, including machine learning models that are being utilized in numerous disciplines. Thousands of concurrently running threads in a GPU demand a highly efficient memory subsystem for data supply in GPUs. In this dissertation,...
The sensors in real time data processing IoT devices require high resolution and sub-MHz data converters, usually implemented as Incremental ADCs due to the advantages of oversampling technique and low latency. In discrete time incremental (IDT) ADCs, the sampling switch non-linearity, charge injection degrade the resolution, and power hungry OPAMPs...
The agricultural industry in the Western United States continues to possess issues of overwatering, accounting for over 80% of consumed water per year in the country. While technologies such as satellite imaging and sensor networks have slowly improved irrigation Best Management Practices to reduce superfluous water consumption, limitations associated with...
The need for sustainably powering unobtrusive internet-of-things applications has led to an interest in energy harvesting. Particularly, the proliferation of wireless communication and devices in the 2.4 GHz Industrial Scientificc Medical (ISM) band creates an opportunity to leverage commonly used devices for RF powering. This dissertation presents a low-quiescent-power...
RF-based signal identification and classification has received growing attention during recent years due to its potential use in many application domains. Of particular interest is Automatic Modulation Classification (AMC), which has been useful in addressing various spectrum related challenges such as signal jamming, policy enforcement, and spectrum sharing. Adopting AMC...
The purpose of this project was to provide a tool for the Aerial Team of the Robotics Club with an application to control a UAV for automated missions - the Aerial Team's focus is automation of UAVs. This application lays out the foundations to allow future members of the Aerial...
This thesis examines the dielectric properties of two systems based on the perovskite materials
barium titanate and strontium titanate. A solid solution was created starting with these base
materials and then adding varying amounts of bismuth-zinc titanate and sodium niobate. These
compositions were calcined and sintered at temperatures determined to...
Silicon photonics has become the most promising platform for future large-scale optical interconnect and optical computing systems due to its inherent CMOS compatibility, which brings exclusive advantages in bandwidth density, energy efficiency, and cost effectiveness. Parallel optical interconnects based on photonic integrated circuits (PICs) have the capacity to meet the...
We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
Ever increasing global internet data traffic has driven up the demand for cutting-edge high-speed wireline communication systems including SerDes PHY for various interfaces, interconnects, data centers servers and switches in optical systems. Operating wireline communications at higher data rates leads to signals suffering from greater channel loss and exponential increase...
The electrical grid of the Western Interconnection is vulnerable to earthquake damage, especially large-magnitude megathrust events, due to the unique seismic profile of the region. However, the size of the Western Interconnection makes it difficult to model seismic failure in electrical substations to the level of detail necessary to improve...
Advances in additive manufacturing technologies allow for the rapid, inexpensive manufacturing of microwave circuits. Circuits made using additive manufacturing are comparable in performance to circuits produced circuits produced using conventional methods such as printed circuit board fabrication, thin film deposition, machining, and milling. Very little work has been done in...
Microfluidic devices have enabled lab-on-a-chip (LOC) systems that allow for complex sample analysis and preparation in a compact form factor. One technology that may benefit from a microfluidic approach and further miniaturization is flow cytometry. Flow cytometry is an analysis technique for enumerating and characterizing populations of cells; this is...
Silicon photonics has rapidly become one of the most promising photonic integration platforms. Especially, microring resonator (MRR) plays a pivotal role in silicon photonics and has been widely used for electro-optic (E-O) modulators and wavelength filters due to its small footprint, low energy consumption, and high quality factor (Q-factor). Recently,...
Magnetic materials can be used in modern soft robotics as a method for external stimulus actuation and motion control. By combining aspects of biology and mechanics, devices are fabricated to create a structure capable of complex movement. Applications that these devices are subject to can be broken down into four...