Department of Electrical and Computer Engineering
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Recent Submissions
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Models and designs of clocked molecular quantum-dot cellular automata circuits.
(2022-03-30)Quantum-dot cellular automata (QCA) is a general-purpose, low-energy, high-efficiency, general purpose computing paradigm. QCA computation may overcome challenges such as heat dissipation and the clock speed bottleneck ... -
Sensing human physiological motion using millimeter wave radar.
(2022-03-28)For the past 100 years, radio detection and ranging technology, or radar, has been developed to detect the presence and motion of a wide array of objects, vehicles, and living beings. With the advent of small-scale, portable, ... -
The impact of conventional and wide bandgap semiconductor PWM inverter EDM bearing currents on motor bearings.
(2022-02-21)The pulse width modulated (PWM) ac motor drive has revolutionized the industrial sector by drastically reducing energy consumption and improving the efficiency of industrial processes. To continue the transition towards ... -
Stochastic computing and stochastic resonance demonstrated in custom analog neuromorphic hardware.
(2022-01-21)Stochastic computing offers an alternative computing method to standard systems. Stochastic resonance is a means of leveraging noise to improve system performance. This thesis applies both concepts to spiking analog neurons. ... -
Enabling and directing real-time cognitive radar transmitter optimization.
(2021-10-27)As the available wireless spectrum grows more crowded with increased usage from high bandwidth telecommunications applications, it becomes infeasible for many other users of wireless spectrum to continue operating with ... -
Neural network watchdog for out-of-distribution input mitigation.
(2021-10-19)Neural networks have often been described as black boxes. The prevalence of publicly available neural networks and the application of transfer learning has allowed for the development of systems with minimal understanding ... -
Asynchronous image reconstruction.
(2021-12-13)Algebraic Reconstruction Technique, also known as ART, is the go-to method for medical image reconstruction. For more than 50 years, since the original paper about ART is published, various reconstruction methods based on ... -
Reducing the size and power of stochastic computing neural networks through training.
(2021-08-01)It has been demonstrated that stochastic computing (SC) has the ability to reduce the size and power requirements of artificial neural network (ANN) circuits [1]. There are two prevailing SC neuron topologies: multiplexer ... -
Essential elements of proton computed tomography for practical applications.
(2021-07-30)The work presented in this dissertation all pertains to developments of proton computed tomography (pCT) and the elements essential to its viability as a clinical imaging modality. This includes methodological and ... -
Study of pumping conditions on output of optically pumped interband cascade lasers.
(2021-08-08)This thesis presents the results of optically pumping two interband cascade laser (ICL) semiconductor samples and measuring both their output power and spectral data. The samples were prepared by the Naval Research Laboratory ... -
Improving the quality of proton CT scan images by utilizing straggling power.
(2021-04-27)Proton therapy has grown in interest within the medical community for its promise in cancer treatment. Proton CT (pCT) scans are an essential part of this process to map treatment areas, but a common problem is the lack ... -
Design and demonstration of an optical cavity-based biosensor using three wavelengths to improve fabrication tolerance.
(2021-05-01)As diseases and cancers progress, the chances of survival depreciate; early detection is vital for improving success rates. Despite dedicated research, diagnosis has remained static—initial consultation, scanning, and then ... -
Electric vehicle powertrain design with battery swapping and vehicle to grid implementation.
(2021-03-31)Described in this work are methodologies for the design and development of electric vehicle (EV) powertrains through modeling, simulation and validation on a real-world systems, with detailed analysis of results. A system ... -
Design, simulation, construction, and measurement testing of fast-reconfigurable radio frequency switched-stub matching networks.
(2021-04-21)Today’s world is increasingly dependent on wireless communications, and fifth generation (5G) cellular technologies have recently entered the picture. Part of their designated spectrum overlaps with that of S-band radar ... -
Impact of MHD-E3 on power system equipment and loads.
(2021-03-25)The detonation of a nuclear weapon in the Earth’s upper atmosphere will cause a variety of electromagnetic disturbances at the Earth’s surface. One of these disturbances – the magnetohydrodynamic late-time or MHD-E3 pulse ... -
Stochastic computing & stochastic resonance in digital & analog neuromorphic systems.
(2020-11-17)Stochastic computing is an alternative method to standard deterministic methods. This thesis explores stochastic resonance in a spiking neuron, and leverages the effects it has to implement stochastic computing in an analog ... -
Artificial materials and the Zenneck surface wave.
(2020-11-23)Spatial control of electromagnetic energy has, and will continue to be, one of the preeminent factors in any electromagnetic design. This control is made possible by energy storage, which in turn comes about as a result ... -
Development of an optical cavity-based biosensor for point-of-care diagnostics.
(2020-11-02)An optical cavity-based biosensor (OCB) has been developed using a differential detection method towards point-of-care (POC) diagnostic applications. The optical cavity consisting of two partially reflective surfaces with ... -
Deep learning methods in molecule design for drug discovery.
(2020-10-22)In the recent ten years, Deep Learning has undergone rapid development. It has been proved by countless success in different areas. Computer vision projects apply convolution neural networks to extract images' features. ... -
Modeling and control of advanced pumped storage hydropower for power system resiliency enhancement.
(2020-11-03)With the gradual increase in renewable penetration, system operators are searching for flexible resource that can help mitigate problems of future low-inertia power systems. To analyze the benefit of advanced pumped storage ...