Faculty

Institution

Unit

Venue

Steven Sam Lumetta

Associate Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Steven Sam Lumetta is currently serving as an Electrical And Computer Engineering Associate Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Steven Sam Lumetta

University of Illinois Urbana-Champaign

Associate Professor

You can click a keyword to filter the displayed items

computer engineering computer science parallel computing computer architecture networked system design high performance computer architecture communications systems systems engineering telecommunication networks scalability microarchitecture network analysis parallel programming distributed systems optical networking high-performance architectures processor architectures hardware acceleration system software survivable network fault-tolerant network network optimization network science network traffic control advanced networking shared memory software testing edge computing software analysis reliability engineering network management programming languages computational optimization many-core architectures instruction-level parallelism dynamic resource allocation genetics field programmable gate array biomedical informatics dynamic optimization network robustness manycore processor congestion control design automation error correction code hardware architecture memory model (programming) memory architectures massively-parallel computing mesh networks design for testing built-in self-test fault management hardware cache coherence generalized loopback cluster computing drug analysis parallel programming models parallel software program optimization chromatographic analysis memory management hybrid memory model software-managed coherence domains deeper understanding streams protection optimal power pricing dynamic routing resource dimensioning minimal hardware support programmable accelerator architecture broad class unknown logic error detection correction codes loop-back recovery biostatistics computational biology biological data biosystems laboratory investigation molecular informatics biological computation systems biology computational genomics

Notable Scholarly Works

Notable Federal Grants

Collaborators

PANDOGEN: Generating Complete Instances of Future Sars-Cov-2 Sequences Using Deep Learning. PLoS Computational Biology (2024)

Anand RamachandranSteven S. LumettaDeming Chen

virus researchpredictive analyticsprotein language modelsbiomedical informaticssars-cov-2medical virologydeep learninglanguage modelsnatural language processingsequence modellingmachine learning researchpandemic forecastingdata scienceinfectious diseasesmachine learninglarge language modelsnatural language generation

End-To-End Automation of Feedback on Student Assembly Programs. 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)

Zikai LiuTingkai LiuQi LiWenqing LuoSteven S. Lumetta

software analysisdebuggersoftware engineeringprogram analysisreverse debuggingrapid feedbackprogram comprehensioncomputing educationeducational technologyprogramming languagescomputer sciencesource code analysisstudent assembly programs

HELLO: Improved Neural Network Architectures and Methodologies for Small Variant Calling. BMC Bioinformatics (2021)

Anand RamachandranSteven S. LumettaEric W. KleeDeming Chen

biomedical informaticsneural network (machine learning)neural network architecturesnext-generation sequencinggeneticsdeep learningsequence modellinghigh accuracymachine learning researchdata sciencemachine learningbioinformatics

HELLO: A Hybrid Variant Calling Approach. bioRxiv (Cold Spring Harbor Laboratory) (2020)

Anand RamachandranSteven S. LumettaEric KleeDeming Chen

genomicsgenome biologylong-read sequencingbiomedical informaticstgs readshybrid variantnext-generation sequencinghigh throughput sequencinggeneticscomputational genomicsthird generation sequencingdata sciencesequence assemblycomputational biologybioinformatics

A Recurrent Markov State-Space Generative Model for Sequences. International Conference on Artificial Intelligence and Statistics (2019)

Anand RamachandranSteven S. LumettaEric W. KleeDeming Chen

neural network (machine learning)recurrent neural networkshidden markov modelcontinuous state variableexact inferencesdeep learningsequence modellingmachine learning researchdata sciencecomputational intelligencemachine learningcomputer science

A ML-Based Runtime System for Executing Dataflow Graphs on Heterogeneous Processors. (2018)

Subho S. BanerjeeArjun P. AthreyaZbigniew KalbarczykSteven LumettaRavishankar K. Iyer

distributed systemsheterogeneous computingruntime systemscomputer engineeringparallel computingml-based runtime systemcomputer architectureheterogeneous processorsexecuting dataflow graphshigh performance computer architecturedata flowscomputer sciencehigh performance computing

ASAP: Underline a /Underline Ccelerated Underline S /Underline Hort-Read Underline a /Underline Lignment on Underline P /Underline Rogrammable Hardware. IEEE Transactions on Computers (2018)

Subho Sankar BanerjeeMohamed El-HadedyJong Bin LimZbigniew T. KalbarczykDeming ChenSteven S. LumettaRavishankar K. Iyer

genomicsgenome biologylong-read sequencinghigh throughput sequencingsequence alignmentsystems biologygeneticshardware accelerationmolecular biologyasap acceleratorcache coherencesequence analysismolecular informaticsbioinformatics

Deep Learning for Better Variant Calling for Cancer Diagnosis and Treatment. 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC) (2018)

Anand RamachandranHuiren LiEric KleeSteven S. LumettaDeming Chen

biomedical data sciencebiomedical informaticsmachine learningsystems biologycancer discoverydeep learningmolecular diagnosticsmachine learning researchdata sciencecomputational intelligencemolecular informaticscomputational biologycomputational medicineneural network (machine learning)robust analytic pipelinesbioinformatics

Introduction to Split-C. KiltHub Repository (2018)

David E. CullerAndrea DusseauSeth C. GoldsteinArvind KrishnamurthySteven LumettaSteve LunaThorsten von EickenKatherine Yelick

scientific computingprogramming language theorypartition (database)formal methodsprogramming languagescomputer sciencepattern matchingparallel programming

Loop Path Reduction by State Pruning. IEEE/ACM International Conference on Automated Software Engineering (ASE) (2018)

Jianxiong GaoSteven S. Lumetta

software analysispath explosionloop path reductionsymbolic executioncomputer engineeringsoftware engineeringcomputational complexityfuzzingprogram analysisformal methodsstate pruningcomputer sciencesoftware testing

1
2
3
4
5
10
10 / page

Steven Sam Lumetta

Associate Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Steven Sam Lumetta is currently serving as an Electrical And Computer Engineering Associate Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Steven Sam Lumetta

University of Illinois Urbana-Champaign

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

PANDOGEN: Generating Complete Instances of Future Sars-Cov-2 Sequences Using Deep Learning. PLoS Computational Biology (2024)

Anand RamachandranSteven S. LumettaDeming Chen

End-To-End Automation of Feedback on Student Assembly Programs. 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)

Zikai LiuTingkai LiuQi LiWenqing LuoSteven S. Lumetta

HELLO: Improved Neural Network Architectures and Methodologies for Small Variant Calling. BMC Bioinformatics (2021)

Anand RamachandranSteven S. LumettaEric W. KleeDeming Chen

HELLO: A Hybrid Variant Calling Approach. bioRxiv (Cold Spring Harbor Laboratory) (2020)

Anand RamachandranSteven S. LumettaEric KleeDeming Chen

A Recurrent Markov State-Space Generative Model for Sequences. International Conference on Artificial Intelligence and Statistics (2019)

Anand RamachandranSteven S. LumettaEric W. KleeDeming Chen

A ML-Based Runtime System for Executing Dataflow Graphs on Heterogeneous Processors. (2018)

Subho S. BanerjeeArjun P. AthreyaZbigniew KalbarczykSteven LumettaRavishankar K. Iyer

ASAP: Underline a /Underline Ccelerated Underline S /Underline Hort-Read Underline a /Underline Lignment on Underline P /Underline Rogrammable Hardware. IEEE Transactions on Computers (2018)

Subho Sankar BanerjeeMohamed El-HadedyJong Bin LimZbigniew T. KalbarczykDeming ChenSteven S. LumettaRavishankar K. Iyer

Deep Learning for Better Variant Calling for Cancer Diagnosis and Treatment. 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC) (2018)

Anand RamachandranHuiren LiEric KleeSteven S. LumettaDeming Chen

Introduction to Split-C. KiltHub Repository (2018)

David E. CullerAndrea DusseauSeth C. GoldsteinArvind KrishnamurthySteven LumettaSteve LunaThorsten von EickenKatherine Yelick

scientific computingprogramming language theorypartition (database)formal methodsprogramming languagescomputer sciencepattern matchingparallel programming

Loop Path Reduction by State Pruning. IEEE/ACM International Conference on Automated Software Engineering (ASE) (2018)

Jianxiong GaoSteven S. Lumetta

1
2
3
4
5
10
10 / page

Similar Faculty Members

Rakesh Kumar

Institution

University of Illinois Urbana-Champaign

fault tolerance

systems engineering

John Shen

Institution

Carnegie Mellon University

computer science

computer engineering

Nam Sung Kim

Institution

University of Illinois Urbana-Champaign

energy efficiency

systems engineering

Deming Chen

Institution

University of Illinois Urbana-Champaign

hardware platform

system on chip

Zhiru Zhang

Institution

Cornell University

design automation

hardware algorithm

Brandon Lucia

Institution

Carnegie Mellon University

industrial informatics

computer architecture

James C. Hoe

Institution

Carnegie Mellon University

design automation

high-level hardware design

Nasir Ghani

Institution

University of South Florida

data security

cyberattack

David Andrews

Institution

University of Arkansas

hybridthreads

reconfigurable computing

Similar Faculty Members

Rakesh Kumar

Institution

University of Illinois Urbana-Champaign

fault tolerance

systems engineering

John Shen

Institution

Carnegie Mellon University

computer science

computer engineering

Nam Sung Kim

Institution

University of Illinois Urbana-Champaign

energy efficiency

systems engineering

Deming Chen

Institution

University of Illinois Urbana-Champaign

hardware platform

system on chip

Zhiru Zhang

Institution

Cornell University

design automation

hardware algorithm

Brandon Lucia

Institution

Carnegie Mellon University

industrial informatics

computer architecture

James C. Hoe

Institution

Carnegie Mellon University

design automation

high-level hardware design

Nasir Ghani

Institution

University of South Florida

data security

cyberattack

David Andrews

Institution

University of Arkansas

hybridthreads

reconfigurable computing