Faculty

Institution

Unit

Venue

Pat Parkerson

Associate Professor

University of Arkansas

Affiliations

College of Engineering

Computer Science and Computer Engineering

Pat Parkerson is currently serving as a College Of Engineering Associate Professor at University of Arkansas.

Honors

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Experiences

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Education

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Pat Parkerson

University of Arkansas

Associate Professor

You can click a keyword to filter the displayed items

self-assembly computer science applied mathematics hierarchical assembly natural computing computer engineering theory of computation molecular self-assembly engineering modeling and simulation theoretical computer science self-organization computability theory machine learning computational geometry fractals combinatorial theory fractal analysis mathematical sciences turing machine tile assembly model intrinsic universality signal-passing tiles tile self-assembly hierarchical self-assembly logic in computer science numerical simulations scientific computing foldable structure geometric tiles tile assembly system simulation powers pattern recognition shape analysis complexity theory continuous space combinatorial optimization physical medicine discrete algorithms genetic programming object recognition 3d object recognition domain-specific languages applied mathematical modelling protein assembly upper extremity self-assembling polygonal tiles arbitrary shapes constant factors single universal tile asynchronous signal passing fuel efficient computation ubiquitous computing mathematical optimization numerical mathematics biomedical circuits physiological measurements distributed systems computational learning theory theoretical analysis large-scale simulations continuum modeling applied algebra engineering mathematics mathematical modelling equivalence checking complexity reduction supramolecular assemblies rna biology system identification automatic identification structural identification chaotic mixing head-mounted display accessible game efficient assembly self-assembling systems computational paradigm computational science system science computational complexity cellular automaton electronic systems design automation technology bio-inspired computation design self-organizing systems aerospace

Notable Scholarly Works

Notable Federal Grants

Collaborators

Strict Self-Assembly of Discrete Self-Similar Fractals in the Abstract Tile Assembly Model. Society for Industrial and Applied Mathematics eBooks (2025)

Florent BeckerDaniel HaderMatthew J. Patitz

self-assemblydiscrete self-similar fractalsapplied mathematical modellingstrict self-assemblyapplied mathematicsfractals

Self-Replication via Tile Self-Assembly. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computingtile self-assemblymaterials science

The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly. Algorithmica (2024)

Daniel HaderMatthew J. Patitz

tile-based self-assemblyself-assemblycomputational mechanicsintrinsic cross-model simulationengineeringmodeling and simulationapplied physicsmaterials science

Universal Shape Replication via Self-Assembly With Signal-Passing Tiles. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinguniversal shape replicationsignal-passing tiles

Fractal Dimension of Assemblies in the Abstract Tile Assembly Model. Natural Computing (2023)

Daniel HaderMatthew J. PatitzScott M. Summers

computer sciencefractal dimensionnatural computingnatural language processingapplied mathematics

Implementing a Theoretician’s Toolkit for Self-Assembly With Dna Components. Natural computing series (2023)

Matthew J. Patitz

computational biologyself-assemblycomputational sciencenatural computingscientific computingdna componentssystems biologymolecular self-assemblybiomolecular engineering

The Need for Seed (in the Abstract Tile Assembly Model). Algorithmica (2023)

Andrew AlsethMatthew J. Patitz

applied mathematics

Replication of Arbitrary Hole-Free Shapes via Self-Assembly With Signal-Passing Tiles. New Generation Computing (2022)

Andrew AlsethJacob HendricksMatthew J. PatitzTrent A. Rogers

computer scienceself-assemblyarbitrary hole-free shapesreplicationsignal-passing tilesnext generation computing

Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly. Natural Computing (2021)

Daniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinggeometric tilesgeometric hindrance

On the Effects of Hierarchical Self-Assembly for Reducing Program-Size Complexity. Theoretical Computer Science (2021)

Sarah CannonErik D. DemaineMartin L. DemaineSarah EisenstatDavid FurcyMatthew J. PatitzRobert SchwellerScott M. SummersAndrew Winslow

computer sciencesystems engineeringprogram-size complexitycomplexity reductiontheoretical computer sciencehierarchical self-assembly

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Pat Parkerson

Associate Professor

University of Arkansas

Affiliations

College of Engineering

Computer Science and Computer Engineering

Pat Parkerson is currently serving as a College Of Engineering Associate Professor at University of Arkansas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Pat Parkerson

University of Arkansas

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Strict Self-Assembly of Discrete Self-Similar Fractals in the Abstract Tile Assembly Model. Society for Industrial and Applied Mathematics eBooks (2025)

Florent BeckerDaniel HaderMatthew J. Patitz

self-assemblydiscrete self-similar fractalsapplied mathematical modellingstrict self-assemblyapplied mathematicsfractals

Self-Replication via Tile Self-Assembly. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computingtile self-assemblymaterials science

The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly. Algorithmica (2024)

Daniel HaderMatthew J. Patitz

tile-based self-assemblyself-assemblycomputational mechanicsintrinsic cross-model simulationengineeringmodeling and simulationapplied physicsmaterials science

Universal Shape Replication via Self-Assembly With Signal-Passing Tiles. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinguniversal shape replicationsignal-passing tiles

Fractal Dimension of Assemblies in the Abstract Tile Assembly Model. Natural Computing (2023)

Daniel HaderMatthew J. PatitzScott M. Summers

computer sciencefractal dimensionnatural computingnatural language processingapplied mathematics

Implementing a Theoretician’s Toolkit for Self-Assembly With Dna Components. Natural computing series (2023)

Matthew J. Patitz

computational biologyself-assemblycomputational sciencenatural computingscientific computingdna componentssystems biologymolecular self-assemblybiomolecular engineering

The Need for Seed (in the Abstract Tile Assembly Model). Algorithmica (2023)

Andrew AlsethMatthew J. Patitz

applied mathematics

Replication of Arbitrary Hole-Free Shapes via Self-Assembly With Signal-Passing Tiles. New Generation Computing (2022)

Andrew AlsethJacob HendricksMatthew J. PatitzTrent A. Rogers

computer scienceself-assemblyarbitrary hole-free shapesreplicationsignal-passing tilesnext generation computing

Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly. Natural Computing (2021)

Daniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinggeometric tilesgeometric hindrance

On the Effects of Hierarchical Self-Assembly for Reducing Program-Size Complexity. Theoretical Computer Science (2021)

Sarah CannonErik D. DemaineMartin L. DemaineSarah EisenstatDavid FurcyMatthew J. PatitzRobert SchwellerScott M. SummersAndrew Winslow

computer sciencesystems engineeringprogram-size complexitycomplexity reductiontheoretical computer sciencehierarchical self-assembly

1
2
3
4
5
16
10 / page

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Similar Faculty Members

Matthew Patitz

Institution

University of Arkansas

design automation

complex system

John Iacono

Institution

New York University

algorithm design

geometry

Bhaskar DasGupta

Institution

University of Illinois Chicago

network science

philosophy of computer science

Binhai Zhu

Institution

Montana State University

genome biology

computer science theory

Daniele Panozzo

Institution

New York University

engineering

rapid prototyping

Jeff Erickson

Institution

University of Illinois Urbana-Champaign

computer science education

applied mathematics

Levent Burak Kara

Institution

Carnegie Mellon University

computational engineering

advanced manufacturing

Daniel J. Bernstein

Institution

University of Illinois Chicago

cryptographic hardware

post-quantum cryptography

Xianfeng David Gu

Institution

Stony Brook University

scientific computing

geometric modeling

Jan Verschelde

Institution

University of Illinois Chicago

computational algebraic geometry

symbolic computation