Electrical & Computer Engineering Doctoral Work
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Power-Efficient Adaptive Memory Design and Optimization for Video and Deep Learning
(North Dakota State University, 2020)Memory devices such as Static Random-Access Memory (SRAM) and Dynamic Random-Access Memory (DRAM) are dominating members of today’s semiconductor industry. Most of the silicon area in a digital system is occupied by memory ... -
Variation, Energy Consumption, Latency, and Failure Aware Design for Memristive ANNs
(North Dakota State University, 2021)As a novel non-volatile device, the memristive crossbar array has delivered many promises in giving low computation complexity, high energy efficiency, and high density for neuromorphic computing. However, the intrinsic ... -
Creation and Implementation of the Innovation-Based Learning Framework: A Learning Analytics Approach
(North Dakota State University, 2022)To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with ... -
Microwave Measurement of Grain and Biomass
(North Dakota State University, 2022)Microwave measurement is a powerful method for mass prediction and grain detection. Existing systems are well adapted for small volume grain measurements, but cannot accommodate materials other than grain (e.g. biomass), ... -
Impact of Inverter-Based Resources on Grid Dynamics
(North Dakota State University, 2022)The increasing integration of renewable energy resources such as wind and solar into the electric power grid through power electronic inverters has changed grid dynamics and posed challenges to grid planning, ... -
Characterization of Inflationary and Deflationary Auscultatory Blood Pressure Measurements
(North Dakota State University, 2022)This document is a paper-based dissertation. The dissertation is a collection of articles written by the author in the pursuit to develop a novel method to measure blood pressure (BP). The introduction chapter describes ... -
A Study of Inverter-Based Resources on Power Grid Operation Under Uncertain Operating Conditions
(North Dakota State University, 2022)The electric power grid is undergoing a rapid change predominantly driven by high penetration levels of renewable energy resources (RERs) such as wind and solar. These resources are interfaced with the power grid through ... -
A Study of Conformal Metasurfaces on Passive Beam Steering for Arrays
(North Dakota State University, 2022)Beam-steering has drawn significant interest due to the expansion of network capacity. However, a traditional beam steering system involves active phase shifters and controlling networks which can be complex. This work ... -
Transformation Electromagnetics/Optics for Designing and Scanning Antenna Arrays
(North Dakota State University, 2021)Recent developments in engineered electromagnetic materials, also known as metamaterials paved the way for new design approaches of unique and incomprehensible electromagnetic devices and structures using electromagnetic ... -
Turning Visual Noise Into Hardware Efficiency: Systems of Viewer and Content Aware Power-Quality Scalable Embedded Memories With ECC-Adaptation for Big Videos and Deep Learning
(North Dakota State University, 2021)Mobile devices, such as smart phones, are being increasingly utilized for watching videos. Video processing requires frequent memory access that consume a significant amount of power due to large data size and intensive ... -
Rare Molecule Biomarker Detection Using Dielectrophoresis Spectroscopy
(North Dakota State University, 2021)According to the American cancer society, 1.9 million new cancer cases and 608,570 cancer deaths are projected to occur in the United States. There is a fundamental technology gap that prevents the availability of tools ... -
Mitigating Nonlinear Effect and Preserving Privacy for Memristor Based On-Chip Neural Network
(North Dakota State University, 2021)Memristors offer advantages as a hardware solution for neuromorphic computing, however, their non-ideal property makes the weight update difficult and reduces the accuracy of a neural network. Also, a large amount of ... -
Synthesis of Specifications and Refinement Maps for Real-Time Object Code Verification
(North Dakota State University, 2020)Formal verification methods have been shown to be very effective in finding corner-case bugs and ensuring the safety of embedded software systems. The use of formal verification requires a specification, which is typically ... -
Bit Optimized Reconfigurable Network (BORN): A New Pathway Towards Implementing a Fully Integrated Band-Switchable CMOS Power Amplifier
(North Dakota State University, 2020)The ultimate goal of the modern wireless communication industry is the full integration of digital, analog, and radio frequency (RF) functions. The most successful solution for such demands has been complementary metal ... -
High Power Density and High Efficiency DC-DC Converters Based on Wide Bandgap Semiconductors
(North Dakota State University, 2019)As the rapid development of semiconductor technologies, more and more power electronic devices are used in our daily life. The power converters are widely used in many emerging areas, such as renewable energy and clean ... -
Analyses, Mitigation and Applications of Secure Hash Algorithms
(North Dakota State University, 2020)Cryptographic hash functions are one of the widely used cryptographic primitives with a purpose to ensure the integrity of the system or data. Hash functions are also utilized in conjunction with digital signatures to ... -
Wide Band-Gap Semiconductor Based Power Converter Reliability and Topology Investigation
(North Dakota State University, 2020)Wide band-gap semiconductor materials such as silicon carbide (SiC) and gallium nitride (GaN) have been widely investigated these years for their preferred operation at higher switching frequency, higher blocking voltage, ... -
Formal Verification Methodologies for NULL Convention Logic Circuits
(North Dakota State University, 2020)NULL Convention Logic (NCL) is a Quasi-Delay Insensitive (QDI) asynchronous design paradigm that aims to tackle some of the major problems synchronous designs are facing as the industry trend of increased clock rates and ... -
Utilization of Interdigitated Microelectrodes and Dielectrophoresis for Biosensing, Bio Molecule Manipulation and Biomanufacturing Therapeutic Cells
(North Dakota State University, 2020)Microelectrode arrays (MEA) and microfluidic systems are two of the most used technologies in Lab-on-a-chip (LOC) applications. These integrated and miniaturized systems are said to offer significant advantages in medical ... -
Development of Performance Optimized Rotation Tolerant Viola-Jones Based Blackbird Detection, a Throughput Optimized Asynchronous Mac Implementation, and Automated Wheat Lodging Estimation
(North Dakota State University, 2020)The research described in this doctoral dissertation focuses on three main topics:1) performance optimization of the Viola-Jones Algorithm (VJA) for red-winged blackbird (Agelaius phoeniceus) detection, 2) further increasing ...
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