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Theses/Dissertations from 2025

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Multi-Objective Design Optimization of Power Converters for Electric Aircraft Propulsion, Ben Luckett

Theses/Dissertations from 2024

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Design and Control of Axial Flux Permanent Magnet Coreless Machines with Special Windings, Yaser Chulaee

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INFORMATION-THEORETIC LEARNING FRAMEWORK BASED ON COVARIANCE OPERATORS ON REPRODUCING KERNEL HILBERT SPACES, Jhoan Keider Hoyos Osorio

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A NOVEL PROCESSOR ARCHITECTURE IMPLEMENTING THE STACKED ERROR DIFFUSION ALGORITHM AND ITS ZYNQ-BASED REALIZATION, Qishi Hu

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Multi-Physics Modeling of Immersion Cooled Electric Power Apparatuses, Reza Ilka

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Reinventing Integrated Photonic Devices and Circuits for High Performance Communication and Computing Applications, Venkata Sai Praneeth Karempudi

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Gas assisted electron beam patterning processes, Deepak Kumar

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Nonuniform Sampling-based Breast Cancer Classification, Santiago Posso

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Electronics Design for KREPE Atmospheric Entry Capsule Avionics, Matt Ruffner

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INVESTIGATION OF DELTA-FOCUSED ICTAL ELECTRICAL SOURCE IMAGING IN REFRACTORY FOCAL EPILEPSY, Jared A. Rybarczyk

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Optimal Control and Evaluation of Shipboard Power Systems, Musharrat Sabah

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Cross-Layer Design of Highly Scalable and Energy-Efficient AI Accelerator Systems Using Photonic Integrated Circuits, Sairam Sri Vatsavai

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High Reliability Motor-Drive Systems for Electric Aircraft Propulsion, Majid Tahmasbi Fard

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MITIGATION OF REFLECTED OVERVOLTAGE IN WIND-TURBINE GENERATOR-CONVERTER SYSTEMS WITH A SMART COIL CONCEPT, Lulu Wei

Theses/Dissertations from 2023

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A Flexible Photonic Reduction Network Architecture for Spatial GEMM Accelerators for Deep Learning, Bobby Bose

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Application of Conventional Feedforward and Deep Neural Networks to Power Distribution System State Estimation and State Forecasting, James Paul Carmichael

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Building Energy Modeling and Studies of Electric Power Distribution Systems with Distributed Energy Resources, Evan S. Jones

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Optimal Design of Special High Torque Density Electric Machines based on Electromagnetic FEA, Murat G. Kesgin

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Modeling the Early Visual System, Nicholas Lanning

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A Phase Change Memory and DRAM Based Framework For Energy-Efficient and High-Speed In-Memory Stochastic Computing, Supreeth Mysore

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Generalizable and Adaptable Data-Driven Methods for Overcoming Barriers to Practical Industrial Condition Monitoring, Matthew B. Russell

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ESTABLISHING THE FOUNDATION TO ROBOTIZE COMPLEX WELDING PROCESSES THROUGH LEARNING FROM HUMAN WELDERS BASED ON DEEP LEARNING TECHNIQUES, Rui Yu

Theses/Dissertations from 2022

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Development of DC Circuit Breakers for Medium-Voltage Electrified Transportation, Trevor Morgan Arvin

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Developing Reactive Distributed Aerial Robotics Platforms for Real-time Contaminant Mapping, Joshua Ashley

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Models and Optimal Controls for Smart Homes and their Integration into the Electric Power Grid, Huangjie Gong