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Filtering by: Committee Member Cotilla-Sanchez, J. Eduardo Remove constraint Committee Member: Cotilla-Sanchez, J. Eduardo Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Monte Carlo Tree Search with Fixed and Adaptive Abstractions

    Creator:
    Hostetler, Jesse A.
    Abstract:
    Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...
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    Dissertation
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    to abstraction α = 〈χ, µ〉 is given by Jα(h) = max a∈A Q∗(h, a)−Q∗(h, ↓π∗(h)). (3.9) 17 We now

  • Environment-adaptive RF Sensing with Transferable ANN Features

    Creator:
    Wang, Guangxin
    Abstract:
    Radio frequency (RF) sensing arises as a promising option for enabling the internet of things (IoT) applications that transform our life into a world of smart homes, smart cities, and smart industries. The innovation of IoT reveals the benefits of RF sensing across cost, pervasiveness, unobtrusiveness, and privacy. However, challenges...
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    Dissertation
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    grateful to my committee members Prof. Tejasvi Anand, Prof. Eduardo Cotilla-Sanchez, Prof. Jinsub Kim, and

  • Evaluating the seismic risk and resilience of an electrical power system

    Creator:
    Chalishazar, Vishvas H.
    Abstract:
    The Pacific Northwest is part of the "Ring of Fire," which is well-known for heavy seismic activity. Numerous active faults in the area have encouraged electric grid managers in the region to more deeply contemplate and proactively intervene to support grid resilience. This research introduces Monte Carlo (MC) based power...
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    Dissertation
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    and also for his invaluable contribution to my growth. Also thanks to Dr. Eduardo Cotilla-Sanchez for

  • Secure Data Analytics under Data Integrity Attacks

    Creator:
    De Silva, Shashini A.
    Abstract:
    There has been tremendous growth in using data analytic and machine learning algorithms to make critical decisions, such as in the national power grid, healthcare operations, and autonomous vehicles. Employing data analytic for decision-making allows cyber attackers to manipulate the decisions of these algorithms through data falsification. Hence, the trustworthiness...
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    Dissertation
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    to have pursued my Ph.D. under his supervision. My sincere thanks goes to Prof. Eduardo Cotilla

  • Distributed Dynamic Multi-Area State Estimation with Fusion Technique

    Creator:
    Guo, Jia
    Abstract:
    As the power system grows larger and more complex, real-time monitoring and control become very significant in order to achieve reliable operation of the power system. Before any security assessment can be made or control actions are taken, the reliable estimate of the existing state of the system must be...
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    mentor for my Ph.D. study. I would also like to thank Prof. Eduardo Cotilla-Sanchez.for his insightful

  • Design of robust infrastructure systems incorporating user behavior

    Creator:
    Piacenza, Joseph R., III
    Abstract:
    Infrastructure systems are a critical component supporting today's modern society. From power grids to traffic networks, we rely on these systems to perform as intended, despite the various sources of uncertainty present in their operation. Designing for system robustness can help mitigate the impact of failures caused by unexpected events....
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    Dissertation
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    Bozorgirad, Christopher Hoyle, Eduardo Cotilla-Sanchez, and Irem Tumer. Eduardo Cotilla-Sanchez provided

  • One-to-many node disjoint paths routing in generalized hypercube, dense Gaussian, and hexagonal mesh networks

    Creator:
    Alsaleh, Omar I.
    Abstract:
    Routing from a single source node to multiple destination nodes using node disjoint paths (NDP) has many important applications in parallel systems. For example, if a source node wants to send distinct messages to distinct destination nodes, then the one-to-many NDP routing is useful. Unlike parallel systems with shared-memory, each...
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    Dissertation
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    Cotilla- Sanchez, and Dr. Harold Parks) for cutting from their valuable time to serve in my committee

  • Students' Understanding of Discrete and Continuous Systems in Quantum Mechanics and Computation's Supporting Role

    Creator:
    Solorio, Christian D.
    Abstract:
    Quantum mechanics is increasingly being taught with a spins-first approach where instructors use simple spin systems to introduce the principles of quantum mechanics rather than systems with wavefunctions. One of the defining characteristics of a spins-first approach is that systems studied have discrete bases, whereas systems with wavefunctions have continuous...
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    Dissertation

  • Sizing and Performance of the Pendulum Power Take-Off Wave Energy Converter: Modularity and Chaotic Behavior

    Creator:
    Dizon, Chris
    Abstract:
    Multiple wave energy converter (WEC) archetypes exist with varying power take-off (PTO) designs in the attempt to maximize ocean energy harnessed and converted into useful energy. The pendulum PTO is popular for its simple, yet robust functionality due to its internally located components and simple operation. Additionally, this PTO does...
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    Dissertation
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    Bryson Robertson and Eduardo Cotilla-Sanchez for assisting me on area specific topics throughout my

  • Multi-objective Resilience Optimization of Interdependent Critical Infrastructure Networks

    Creator:
    Tiong, Achara
    Abstract:
    Critical Infrastructures (CIs) such as energy, water supply, telecommunications, and transportation are highly vulnerable to cascading failures due to their interdependent operations. A resilient network is crucial to withstand the impact of functionality loss in disruptive events. This research evaluates network expansion as a proactive resilience strategy in which new...
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    , Dr. David S. Kim, Dr. Eduardo Cotilla-Sanchez, and Dr. John Sessions whose collective feedback has