Faculty

Institution

Unit

Venue

Layne T. Watson

Professor of Computer Science Mathematics and Aerospace and Ocean Engineering

Virginia Tech

Affiliations

College of Engineering

Aerospace and Ocean Engineering

College of Science

Department of Mathematics

Layne T. Watson is currently serving as an Aerospace And Ocean Engineering Professor of Computer Science Mathematics and Aerospace and Ocean Engineering at Virginia Tech.

Honors

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Experiences

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Education

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Layne T. Watson

Virginia Tech

Professor of Computer Science Mathematics and Aerospace and Ocean Engineering

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applied mathematics computer science engineering mechanical engineering machine learning numerical analysis mathematical optimization engineering optimization design optimization fluid dynamics computational optimization scientific computing aerodynamics fluid mechanics structural engineering mechanics structural optimization aeronautics multidisciplinary optimization global optimization numerical algorithms high performance computing mathematical programming genetic algorithms parallel processing algorithm engineering engineering science algorithm implementation algorithm design structural analysis chemical master equation automatic control numerical simulations nonlinear analysis yeast homotopy method mechanical science numerical mathematics algorithm configuration algorithmic development material modeling numerical computation cell cycle elasticity (physics) performance prediction polynomial systems response surface approximations computability theory robust control biomedical modeling matrix methods geometric interpolation composite laminates plant science structural design distributed computing model optimization material simulation optimization problems multidisciplinary design optimization robust design optimization magnetohydrodynamic flow nonlinear programming aircraft design process aeroelasticity composite technology model building guidance system image data trust region optimal design excitable media viscous fluid steady viscous flow linear complementarity problem adaptive experimental design computational paradigm computational science solid mechanics mathematical software computational infrastructure computer-aided design computer-aided engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

Remark on Algorithm 1012: Computing Projections With Large Data Sets. ACM Transactions on Mathematical Software (2024)

Tyler H. ChangLayne T. WatsonSven LeyfferThomas C. H. LuxHussain M. J. Almohri

large data setscomputer sciencedata mining

DEEPMICROGEN: A Generative Adversarial Network-Based Method for Longitudinal Microbiome Data Imputation. Bioinformatics (2023)

Joung Min ChoiMing JiLayne T WatsonLiqing Zhang

informaticsmachine learningdeep learningdata sciencecomputational biologygenerative adversarial networkscomputer sciencebioinformatics

Model-Agnostic Federated Learning for Privacy-Preserving Systems. (2023)

Hussain M. J. AlmohriLayne T. Watson

federated learningcomputer sciencemachine learningprivacy-preserving systems

Algorithm 1028: Vtmop: Solver for Blackbox Multiobjective Optimization Problems. ACM Transactions on Mathematical Software (2022)

Tyler H. ChangLayne T. WatsonJeffrey LarsonNicole NeveuWilliam I. ThackerShubhangi DeshpandeThomas C. H. Lux

optimization problemscomputer science

Algorithm 1031: Mqsi—Monotone Quintic Spline Interpolation. ACM Transactions on Mathematical Software (2022)

Thomas LuxLayne T. WatsonTyler ChangWilliam Thacker

machine learningnumerical algorithmscomputational engineeringspline (mathematics)geometric interpolationformal methodsapplied mathematicscomputer science

Design Strategies and Approximation Methods for High-Performance Computing Variability Management. Journal of Quality Technology (2022)

Yueyao WangLi XuYili HongRong PanTyler ChangThomas LuxJon BernardLayne WatsonKirk Cameron

systems engineeringquality assurancedesign strategiesvariability managementformal methodsquality engineeringquality controlquality technologyquality management

Modeling the Temporal Dynamics of Master Regulators and Ctra Proteolysis in Caulobacter Crescentus Cell Cycle. PLoS Computational Biology (2022)

Chunrui XuHenry HollisMichelle DaiXiangyu YaoLayne T. WatsonYang CaoMinghan Chen

cell cyclectra proteolysismicrobial physiologybacteriologymolecular microbiologyclinical microbiologymaster regulatorsmolecular biologymembrane biologycomputational biologymicrobiologycell biology

Self-Learning, Adaptive Software: An Example From Aerospace Engineering. Contemporary Engineering Sciences (2022)

Mohamed JradRakesh K. KapaniaJoseph A. SchetzLayne T. Watson

adaptive softwareengineering educationaerospace engineering

On Parallel Real-Time Security Improvement Using Mixed-Integer Programming. IEEE Access (2021)

Hussain M. J. AlmohriLayne T. WatsonHoma AlemzadehMohammad Almutawa

communication securitycomputer securitycomputer engineeringparallel computinggraph partitioningattack graphserial algorithmnetwork securityreal-time adaptive securityreal-time attack incidentsinformation securitycomputer sciencesecurity visualizationparallel programming

Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations. Figshare (2021)

Li XuThomas LuxTyler ChangBo LiYili HongLayne WatsonAli ButtDanfeng YaoKirk Cameron

performance predictionmicroarchitectureperformance variabilitycomputer engineeringcomputer architecturehigh performance computer architecturesystem performance analysishpc io variabilityperformance analysis toolhpc variabilitycomputer scienceperformance evaluation

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Layne T. Watson

Professor of Computer Science Mathematics and Aerospace and Ocean Engineering

Virginia Tech

Affiliations

College of Engineering

Aerospace and Ocean Engineering

College of Science

Department of Mathematics

Layne T. Watson is currently serving as an Aerospace And Ocean Engineering Professor of Computer Science Mathematics and Aerospace and Ocean Engineering at Virginia Tech.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Layne T. Watson

Virginia Tech

Professor of Computer Science Mathematics and Aerospace and Ocean Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Remark on Algorithm 1012: Computing Projections With Large Data Sets. ACM Transactions on Mathematical Software (2024)

Tyler H. ChangLayne T. WatsonSven LeyfferThomas C. H. LuxHussain M. J. Almohri

large data setscomputer sciencedata mining

DEEPMICROGEN: A Generative Adversarial Network-Based Method for Longitudinal Microbiome Data Imputation. Bioinformatics (2023)

Joung Min ChoiMing JiLayne T WatsonLiqing Zhang

informaticsmachine learningdeep learningdata sciencecomputational biologygenerative adversarial networkscomputer sciencebioinformatics

Model-Agnostic Federated Learning for Privacy-Preserving Systems. (2023)

Hussain M. J. AlmohriLayne T. Watson

federated learningcomputer sciencemachine learningprivacy-preserving systems

Algorithm 1028: Vtmop: Solver for Blackbox Multiobjective Optimization Problems. ACM Transactions on Mathematical Software (2022)

Tyler H. ChangLayne T. WatsonJeffrey LarsonNicole NeveuWilliam I. ThackerShubhangi DeshpandeThomas C. H. Lux

optimization problemscomputer science

Algorithm 1031: Mqsi—Monotone Quintic Spline Interpolation. ACM Transactions on Mathematical Software (2022)

Thomas LuxLayne T. WatsonTyler ChangWilliam Thacker

machine learningnumerical algorithmscomputational engineeringspline (mathematics)geometric interpolationformal methodsapplied mathematicscomputer science

Design Strategies and Approximation Methods for High-Performance Computing Variability Management. Journal of Quality Technology (2022)

Yueyao WangLi XuYili HongRong PanTyler ChangThomas LuxJon BernardLayne WatsonKirk Cameron

systems engineeringquality assurancedesign strategiesvariability managementformal methodsquality engineeringquality controlquality technologyquality management

Modeling the Temporal Dynamics of Master Regulators and Ctra Proteolysis in Caulobacter Crescentus Cell Cycle. PLoS Computational Biology (2022)

Chunrui XuHenry HollisMichelle DaiXiangyu YaoLayne T. WatsonYang CaoMinghan Chen

cell cyclectra proteolysismicrobial physiologybacteriologymolecular microbiologyclinical microbiologymaster regulatorsmolecular biologymembrane biologycomputational biologymicrobiologycell biology

Self-Learning, Adaptive Software: An Example From Aerospace Engineering. Contemporary Engineering Sciences (2022)

Mohamed JradRakesh K. KapaniaJoseph A. SchetzLayne T. Watson

adaptive softwareengineering educationaerospace engineering

On Parallel Real-Time Security Improvement Using Mixed-Integer Programming. IEEE Access (2021)

Hussain M. J. AlmohriLayne T. WatsonHoma AlemzadehMohammad Almutawa

Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations. Figshare (2021)

Li XuThomas LuxTyler ChangBo LiYili HongLayne WatsonAli ButtDanfeng YaoKirk Cameron

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Similar Faculty Members

Rakesh Kapania

Institution

Virginia Tech

isogeometric analysis

material simulation

Shaofan Li

Institution

University of California, Berkeley

mechanical engineering

engineering

Nam-Ho Kim

Institution

University of Florida

uncertainty analysis

nonlinear structural mechanics

Raphael T. Haftka

Institution

University of Florida

engineering

aerospace engineering

Gui-Rong Liu

Institution

University of Cincinnati

mechanical engineering

engineering

Mark Shephard

Institution

Rensselaer Polytechnic Institute

parallel computing

massively-parallel computing

Rainald Löhner

Institution

George Mason University

applied mathematics

engineering

Sanjay Ranka, Ph.D

Institution

University of Florida

grid computing

scientific computing

Satya Atluri

Institution

University of California, Irvine

mechanical engineering

engineering

Chandrajit Bajaj

Institution

University of Texas at Austin

visualization

imaging data sciences