Dane Sabo
4980358ea4
M .task/backlog.data M .task/completed.data M .task/pending.data M .task/undo.data R Writing/ERLM/goals-and-outcomes/research_statement.tex -> Writing/ERLM/1-goals-and-outcomes/research_statement.tex R Writing/ERLM/goals-and-outcomes/v1.tex -> Writing/ERLM/1-goals-and-outcomes/v1.tex R Writing/ERLM/goals-and-outcomes/v2.tex -> Writing/ERLM/1-goals-and-outcomes/v2.tex R Writing/ERLM/goals-and-outcomes/v3.tex -> Writing/ERLM/1-goals-and-outcomes/v3.tex
41 lines
2.3 KiB
TeX
41 lines
2.3 KiB
TeX
\section{Supplemental Sections}
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\subsection{Biosketch}
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\includepdf[pages=-]{9-supplemental-sections/cv-1786798.pdf}
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\subsection{Data Management Plan}
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\includepdf[pages=-]{9-supplemental-sections/High_Assurance_Autonomous_Control_Systems.pdf}
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\subsection{Facilities}
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\textbf{University of Pittsburgh Cyber Energy Center.} This research will be
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conducted at the Cyber Energy Center, a specialized facility dedicated to
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advancing cybersecurity and control systems for critical energy infrastructure.
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The Center provides access to industry-standard control equipment, including
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Emerson Ovation distributed control systems representative of modern nuclear
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plant instrumentation and control platforms. The Center maintains active
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collaborations with industry partners, enabling real-world validation of
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research outcomes and ensuring alignment with practical deployment requirements.
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Hardware-in-the-loop testing capabilities include the Advanced Reactor Cyber
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Analysis and Development Environment (ARCADE) suite for real-time integration
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between simulation models and physical control hardware.
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\textbf{Center for Research Computing (CRC).} The CRC provides high-performance
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computing resources essential for computationally intensive verification tasks
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including reachability analysis, barrier certificate computation, and
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large-scale reactor simulations. The Center maintains multi-node computing
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clusters with parallel processing capabilities, GPU acceleration for neural
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network-based verification approaches, and substantial data storage
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infrastructure. Technical support staff provide expertise in scientific
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computing, enabling efficient utilization of computational resources for formal
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methods applications.
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\textbf{Swanson School of Engineering.} The Mechanical Engineering and Materials
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Science Department within the Swanson School provides comprehensive facilities
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for engineering research including computational laboratories, collaborative
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workspaces, and access to software licenses for MATLAB/Simulink, control system
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design tools, and formal verification platforms. The School's emphasis on
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interdisciplinary research creates opportunities for collaboration across
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control systems, computer science, and nuclear engineering domains essential to
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this hybrid control synthesis methodology.
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