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Unified security frameworks for integrated WiMAX and optical broadband access networks
(2011)
This dissertation proposes the integration of optical and Mobile Worldwide Interoperability for Microwave Access (WiMAX) broadband access networks in order to combine the strengths of optical and wireless technologies and ...
Microwave filters for next generation radio frequency transceivers
(2023-08-04)
Increased data rates in wireless communications enforce unprecedented performance metrics on the front-end filters to operate in crowded spectral bands. These requirements include strong selectivity, low insertion loss, ...
Multiplierless CSD techniques for high performance FPGA implementation of digital filters.
(2007)
I leverage FastCSD to develop a new, high performance iterative multiplierless structure based on a novel real-time CSD recoding, so that more zero partial products are introduced. Up to 66.7% zero partial products occur ...
TOWARDS AI-ENABLED DIAGNOSTICS FROM NOISY AND INCOMPLETE DATA
(2024-05-10)
The advent of artificial intelligence (AI) has revolutionized diagnostic procedures, promising enhanced accuracy and efficiency across various domains. This dissertation leverages AI capabilities for diagnostic purposes, ...
Signal Processing Techniques for Spatial and Frequency-Varying Wave Propagation Through Multi-Layer Stack-Ups
(2024-08-01)
Radar is classically used over optical sensors to sense objects regardless of weather or daylight conditions. In this case, a waveform is transmitted through the air and reflects off the outside of an object back to the ...
Signal Processing Techniques for Radar Operation in Congested Spectrum
(2024-08-01)
The electromagnetic spectrum is a finite resource that has become increasingly congested as the use of wireless communications and RF applications have expanded. With increased congestion, dynamic spectrum sensing and ...
AN APPROACH TO SIMULTANEOUS WIRELESS SYNCHRONIZATION AND NAVIGATION FOR MOBILE DISTRIBUTED NETWORKS OF RADAR SYSTEMS
(2024-08-01)
Recent developments in all-digital phased arrays have probed the upper bound of performance for single monostatic radar system performance. In order for radar system performance to continue to improve beyond the current ...
HARNESSING DEEP REINFORCEMENT LEARNING: STUDIES IN ROBOTIC MANIPULATION, ENHANCED SEMANTIC SEGMENTATION, AND SECURING IMAGE CLASSIFIERS
(2024-08-16)
This dissertation investigates the transformative potential of Deep Reinforcement Learning (DRL) in three critical domains: robotic manipulation, enhanced semantic segmentation, and the security of image classifiers. Through ...
MULTI-SCALE HYBRID DATA-DRIVEN FRAMEWORK FOR ELECTRIC ENERGY FLOW: TRANSIENT ANALYSIS AND RESILIENCY SOLUTION FOR NEXT-GENERATION POWER GRID
(2024-08-01)
Illustrating by compelling case studies, this study discusses the challenges to the design of resilient power grid with inverter-based renewable energy resources posed by curses of dimensionality and heterogeneity in the ...