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Filtering by: Contributor Semprini, Lewis Remove constraint Contributor: Semprini, Lewis Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering

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  • Design and Simulation of Nonlinear Control Strategies for Heaving Point Wave Energy Converters in WEC-Sim

    Creator:
    Glennon, David N.
    Abstract:
    As the sources of our electricity shift from centralized and carbon emitting, to a portfolio of distributed, clean-energy sources, the wave energy converter (WEC) has become a topic of exploration and development for providing coastal communities electric power. Part of this trend has included an effort to create open source...
    Resource Type:
    Masters Thesis
    Full Text:
    few years. A special thanks to Dr. Lewis Semprini for his availability and service as my Graduate

  • Analysis and modeling of coplanar on-chip interconnects on silicon substrates

    Creator:
    Luoh, Yi
    Abstract:
    The electrical behavior of on-chip interconnects has become a dominant factor in silicon-based high speed, RF, and mixed-signal integrated circuits. In particular, the frequency-dependent loss mechanisms in heavily-doped silicon substrates can have a large influence on the transmission characteristics of on-chip interconnects. To optimize the performance of the integrated circuit,...
    Resource Type:
    Masters Thesis
    Full Text:
    gratitude to Dr. Raghu Kumar Settaluri, Dr. Huaping Liu and Graduate Council Representative Dr. Lewis

  • A Micro Scale Magnetic Particle Imaging System

    Creator:
    Lenox, Philip A.
    Abstract:
    Magnetic particle imaging (MPI) is a biomedical imaging technique which detects the presence of magnetic nanoparticles which have been introduced into the specimen prior to imaging. MPI has shown promise for real-time imaging with spatial resolution comparable to magnetic resonance imaging (MRI). MPI research has focused predominantly on the development...
    Resource Type:
    Masters Thesis
    Full Text:
    they come up, and agreeing to serve on my committee. Thank you Dr. Semprini for fulfilling the role of

  • Low-power double-sampled delta-sigma modulator for broadband applications

    Creator:
    Shen, Weilun
    Abstract:
    High speed and high resolution analog-to-digital converter is a key building block for broadband wireless communications, high definition video applications, medical images and so on. By leveraging the down scaling of the latest CMOS technology and the noise shaping properties, delta-sigma (ΔΣ) ADCs are able to achieve wide-band operation and...
    Resource Type:
    Dissertation
    Full Text:
    Hanumolu, Professor Kagan Tumer and Professor Lewis Semprini for their serving on my graduate committee

  • Machine Learning for Architectural Design Space Exploration and Resource Control

    Creator:
    Penney, Drew D.
    Abstract:
    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...
    Resource Type:
    Masters Thesis

  • Predictive methodologies for substrate parasitic extraction and modeling in heavily doped CMOS substrates

    Creator:
    Sharma, Ajit
    Abstract:
    This thesis presents an automated methodology to calibrate the substrate profile for accurate prediction of substrate parasitics using Green's function based extractors. The technique requires fabrication of only a few test structures and results in an accurate three layered approximation of a heavily doped epitaxial silicon substrate. The obtained substrate...
    Resource Type:
    Masters Thesis
    Full Text:
    have worked with them. I would also like to acknowledge Dr. Chenggang Xu and Dr. Lewis Semprini, for