Faculty

Institution

Unit

Venue

Hongyang Sun

Assistant Professor

University of Kansas

Affiliations

Engineering

Electrical Engineering & Computer Science

Hongyang Sun is currently serving as an Electrical Engineering & Computer Science Assistant Professor at University of Kansas.

Honors

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Experiences

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Education

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Hongyang Sun

University of Kansas

Assistant Professor

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systems engineering computer science parallel computing scheduling (computing) computer engineering scheduling problems cloud computing machine learning internet of things distributed computing performance evaluation energy management scientific computing scheduling (production processes) edge computing energy efficiency fog computing silent errors electrical engineering thermal engineering information technology distributed systems computational optimization distributed processing stochastic jobs intelligent computing data center management thermal management adaptive computing error correction parallel jobs sparse iterative solvers mobile computing data security next generation computing high performance computing fault management system architecture data dissemination parallel processing fault tolerance advanced computing spatio-temporal thermal-aware scheduling moldable parallel jobs resilient scheduling service computing numerical simulations mobility vehicular technology cluster computing human-computer interaction networked system design reliability engineering serverless computing large-scale simulations thermal modeling predictability predictive modeling structured prediction transaction processing fault-tolerant control trade-off analysis dynamic resource allocation thermal energy energy-efficient technologies heterogeneous computing resilience engineering thermal-aware modeling multiprocessor tasks efficient adaptive scheduling edge resources mobility-aware iot services trading-off fog thermal-aware resource management heterogeneous datacenters pack scheduling

Notable Scholarly Works

Notable Federal Grants

Collaborators

A General and Extensible Algorithmic Framework for Biological Sequence Alignment Across Scales and Applications. Research Square (2026)

genomicsgenome biologylong-read sequencingsequence analysisextensible algorithmic frameworksequence alignmentsystems biologygeneticscomputational genomicscomputational biologymolecular informaticsbiological sequence alignmentbioinformatics

AIMS: An Adaptive Intelligent Multi-Objective Scheduler Powered by Digital Twins. (2025)

real-time system designsystems engineeringdesign optimizationdigital twinningdigital twinsmultidisciplinary optimizationintelligent computingevolutionary computationintelligent systemsevolutionary multi-criterion optimizationcomputer scienceautomation

A Knowledge-Driven Approach to Multi-Objective Iot Task Graph Scheduling in Fog-Cloud Computing. Journal of Parallel and Distributed Computing (2025)

fog-cloud computingsystems engineeringknowledge-driven approachiot architecturecomputer engineeringmulti-access edge computingfog computingnetworked system designcomputer scienceinternet of thingscloud computing

A New Algorithm for Online Scheduling of Rigid Task Graphs With Near-Optimal Competitive Ratio. (2025)

computational optimizationmathematical optimizationonline problemgraph theoryscheduling (computing)discrete algorithmsonline schedulingrigid task graphsscheduling problemscombinatorial optimizationapplied mathematicsnew algorithmcomputer scienceoperations research

Assessing Processor Allocation Strategies for Online Scheduling of Moldable Task Graphs. (2025)

processor allocation strategiessystems engineeringscheduling (production processes)distributed systemscomputer engineeringgraph theoryscheduling (computing)computer architecturereal-time multiprocessor systemonline schedulingmoldable task graphshigh performance computer architecturescheduling problemscombinatorial optimizationcomputer science

HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient Hpc Resource Management. IEEE Transactions on Parallel and Distributed Systems (2025)

energy optimizationsystems engineeringdesign optimizationengineering optimizationenergy efficiencycomputational optimizationuncertainty-aware multi-objective optimizationcomputer engineeringcomputational engineeringenergy systemsevolutionary multi-criterion optimizationenergy managementdata-driven optimization

Machine Learning Approaches for Optimizing High-Performance Computing Scheduling: A Comprehensive Survey and Analysis. Cluster Computing (2025)

computational optimizationdesign optimizationmachine learningjob schedulercloud schedulingparallel computingscheduling (computing)real-time multiprocessor systemhigh performance computer architecturemachine learning researchscheduling problemsdata sciencemachine learning approachescomputer sciencecomprehensive surveyoperations research

A Survey on Checkpointing Strategies: Should We Always Checkpoint à La Young/Daly?. Future Generation Computer Systems (2024)

Leonardo Bautista-GomezAnne BenoitSheng DiThomas HeraultYves RobertHongyang Sun

systems engineeringcontrol systemsverificationreliability engineeringcomputer securitycomputer engineeringparallel computingfault toleranceoperating systemsintelligent computingreliability managementadvanced computingnext generation computingdata securitycomputer sciencesystem safety

Neural Acceleration of Incomplete Factorization Preconditioning. Neural Computing and Applications (2024)

Joshua Dennis BoothHongyang SunTrevor Garnett

incomplete factorization preconditioningneural accelerationcomputational neuroscienceneural computationcognitive scienceneural network (machine learning)neuroscience

To Protect or Not to Protect: Probability-Aware Selective Protection for Sparse Iterative Solvers. (2024)

Daniel Ryley JohnsonHongyang SunJoshua Dennis BoothPadma Raghavan

probability-aware selective protectioncomputer sciencesparse iterative solvers

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Hongyang Sun

Assistant Professor

University of Kansas

Affiliations

Engineering

Electrical Engineering & Computer Science

Hongyang Sun is currently serving as an Electrical Engineering & Computer Science Assistant Professor at University of Kansas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Hongyang Sun

University of Kansas

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A General and Extensible Algorithmic Framework for Biological Sequence Alignment Across Scales and Applications. Research Square (2026)

AIMS: An Adaptive Intelligent Multi-Objective Scheduler Powered by Digital Twins. (2025)

A Knowledge-Driven Approach to Multi-Objective Iot Task Graph Scheduling in Fog-Cloud Computing. Journal of Parallel and Distributed Computing (2025)

A New Algorithm for Online Scheduling of Rigid Task Graphs With Near-Optimal Competitive Ratio. (2025)

Assessing Processor Allocation Strategies for Online Scheduling of Moldable Task Graphs. (2025)

HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient Hpc Resource Management. IEEE Transactions on Parallel and Distributed Systems (2025)

Machine Learning Approaches for Optimizing High-Performance Computing Scheduling: A Comprehensive Survey and Analysis. Cluster Computing (2025)

A Survey on Checkpointing Strategies: Should We Always Checkpoint à La Young/Daly?. Future Generation Computer Systems (2024)

Leonardo Bautista-GomezAnne BenoitSheng DiThomas HeraultYves RobertHongyang Sun

Neural Acceleration of Incomplete Factorization Preconditioning. Neural Computing and Applications (2024)

Joshua Dennis BoothHongyang SunTrevor Garnett

incomplete factorization preconditioningneural accelerationcomputational neuroscienceneural computationcognitive scienceneural network (machine learning)neuroscience

To Protect or Not to Protect: Probability-Aware Selective Protection for Sparse Iterative Solvers. (2024)

Daniel Ryley JohnsonHongyang SunJoshua Dennis BoothPadma Raghavan

probability-aware selective protectioncomputer sciencesparse iterative solvers

1
2
3
4
5
10
10 / page

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Similar Faculty Members

Jean-Luc Gaudiot

Institution

University of California, Irvine

parallel processing

parallel computing

Hari Subramoni

Institution

Ohio State University

parallel computing

distributed system

Gang Quan

Institution

Florida International University

systems engineering

scheduling (computing)

Tajana Rosing

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computer science

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Salim A Hariri

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grid computing

Anand Sivasubramaniam

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Pennsylvania State University

industrial informatics

parallel computing

Hong Jiang

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computer science

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signal processing

communications

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big data

Ali R. Butt

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big data storage