Faculty

Institution

Unit

Venue

Kamesh Madduri

Associate Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

Kamesh Madduri is currently serving as a Computer Science And Engineering Associate Professor at Pennsylvania State University.

Honors

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Experiences

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Education

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Kamesh Madduri

Pennsylvania State University

Associate Professor

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computer science parallel computing graph theory computer engineering data science scalability graph processing machine learning parallel programming computer architecture distributed systems systems engineering network analysis high performance computer architecture scientific computing graph algorithms graph analysis high performance computing discrete algorithms mathematical optimization cluster computing numerical algorithms computational science computational optimization combinatorial optimization microarchitecture parallel processing networked system design knowledge discovery massively-parallel computing distributed computing shared memory multicore platforms modeling and simulation advanced computing algorithm design hardware architecture kernel methods parallel software gpu computing engineering optimization intelligent computing distributed processing high-performance data analytics data-intensive computing processor architectures betweenness centrality gyrokinetic toroidal simulations label propagation graph partitioning traffic flow prediction multicore systems multicore processors graph analytics graph layout breadth-first search numerical simulations benchmarking tool topological properties discrete optimization massive data processing distributed data analytics performance tuning molecular docking power-efficient computing scalable computing high-throughput computing hardware acceleration modeling method computer modeling flash memory distributed memory systems parallel breadth-first search centrality indices real-world networks parallel algorithms computational paradigm optical materials

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fast Sentence Classification Using Word Co-Occurrence Graphs *. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Ashirbad MishraShad KirmaniKamesh Madduri

computer scienceword embeddingsknowledge discoverydata sciencecontent similarity detectioninformation fusionbig datasemantic similaritytext miningsemantic evaluationkeyword extractionfast sentence classificationlanguage modelscomputational intelligencelinguisticsmachine learning researchtext processingnatural language processingmachine learning

GRAPHEX: A Graph-Based Extraction Method for Advertiser Keyphrase Recommendation. arXiv (Cornell University) (2024)

Mishra, AshirbadDey, SoumikWu, MarshallZhao, JinyuYu, HeNi, KaichenLi, BinbinMadduri, Kamesh

text miningadvertiser keyphrase recommendationdata miningkeyword extractionnatural language processingcomputer sciencemachine learningknowledge extractiondata scienceinformation extractionkeyword searchgraph-based extraction methodinformation retrievalknowledge discovery

GRAPHITE: A Graph-Based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation. Frontiers in artificial intelligence and applications (2024)

Ashirbad MishraSoumik DeyJinyu ZhaoMarshall WuBinbin LiKamesh Madduri

text miningcomputational intelligencemachine learning researchranking algorithmskeyword extractionnatural language processingcomputer scienceintelligent processingmachine learningdata sciencecomputational learning theorykeyword searchartificial intelligencekeyphrase recommendationknowledge discoverydeep learning

JET: Multilevel Graph Partitioning on Graphics Processing Units. SIAM Journal on Scientific Computing (2024)

Michael S. GilbertKamesh MadduriErik G. BomanSiva Rajamanickam

systems engineeringengineeringcombinatorial optimizationcomputer engineeringmultilevel graphgraph theory

The Impact of the Covid-19 Pandemic on Staffing Levels in Philadelphia Nursing Homes: Disparities Based on the Racial Composition of Geographical Areas. Policy Politics & Nursing Practice (2024)

Junyan TianAlyssa A. GamaldoKamesh MadduriCarlos TavaresNoble MaseruDavid SaundersGary King

covid-19disparate impactpublic policyracial compositioncovid-19 pandemicgeographical areaspublic healthhealth disparitieshealth care disparitiesnursingphiladelphia nursing homesdisparities

Developing Deep Learning Pipeline of Whole-Slide Images for Enhanced Diffuse Large B Cell Lymphoma (Dlbcl) Subtyping and Outcome Prediction: Leveraging Self-Attention Transformer for Training and Inference. Blood (2023)

Chen ZhouJie XuRishab PrakashCarlos P Torres-CabalaCheng-bang ChenKamesh MadduriArvind RaoGreeshma AgasthyaFrancisco VegaDennis O'MalleyL. Jeffrey MedeirosSoundar KumaraSwami P. Iyer

metastasishematologymedicinecancer imaginghemostasisdermatologymachine learninglymphoid neoplasiaimmunologywhole-slide imagesoutcome predictionmedical imagingdeep learning

JET: Multilevel Partitioning on Gpus. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2023)

Gilbert, MichaelMadduri, KameshBoman, Erik GunnarRajamanickam, Sivasankaran

gpu architecturescientific computingfield programmable gate arraysystems engineeringhigh performance computer architectureheterogeneous computingcomputer architecturecomputer sciencemicroelectronicscomputer engineeringgpu virtualizationparallel computingparallel programmingsoft computinggpu computinggpu cluster

Multicore Algorithms for Graph Connectivity Problems. Chapman and Hall/CRC eBooks (2022)

George M. SlotaSivasankaran RajamanickamKamesh Madduri

graph algorithmsdirected graphsscc detectionmulticore algorithmsgraph processinghigh performance computer architecturegraph connectivity problemscomputer sciencecomputer engineeringparallel computingparallel programmingscalabilitygraph theorygraph analysis

Partitioning Trillion-Edge Graphs. Chapman and Hall/CRC eBooks (2022)

George M. SlotaKaren DevineKamesh MadduriSivasankaran Rajamanickam

cluster computinglabel propagation-based graphcommunity structurenetwork analysisglobal networkscommunity discoverygraph processingedge balance-refinement stagescomputer sciencedata sciencescalabilitygraph theorygraph analysistrillion-edge graphs

Workshop Organization. (2022)

Balazs GerofiManya GhobadiIan Karlin

educationworkshop organization

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Kamesh Madduri

Associate Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

Kamesh Madduri is currently serving as a Computer Science And Engineering Associate Professor at Pennsylvania State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kamesh Madduri

Pennsylvania State University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fast Sentence Classification Using Word Co-Occurrence Graphs *. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Ashirbad MishraShad KirmaniKamesh Madduri

GRAPHEX: A Graph-Based Extraction Method for Advertiser Keyphrase Recommendation. arXiv (Cornell University) (2024)

Mishra, AshirbadDey, SoumikWu, MarshallZhao, JinyuYu, HeNi, KaichenLi, BinbinMadduri, Kamesh

GRAPHITE: A Graph-Based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation. Frontiers in artificial intelligence and applications (2024)

Ashirbad MishraSoumik DeyJinyu ZhaoMarshall WuBinbin LiKamesh Madduri

JET: Multilevel Graph Partitioning on Graphics Processing Units. SIAM Journal on Scientific Computing (2024)

Michael S. GilbertKamesh MadduriErik G. BomanSiva Rajamanickam

systems engineeringengineeringcombinatorial optimizationcomputer engineeringmultilevel graphgraph theory

The Impact of the Covid-19 Pandemic on Staffing Levels in Philadelphia Nursing Homes: Disparities Based on the Racial Composition of Geographical Areas. Policy Politics & Nursing Practice (2024)

Junyan TianAlyssa A. GamaldoKamesh MadduriCarlos TavaresNoble MaseruDavid SaundersGary King

covid-19disparate impactpublic policyracial compositioncovid-19 pandemicgeographical areaspublic healthhealth disparitieshealth care disparitiesnursingphiladelphia nursing homesdisparities

Chen ZhouJie XuRishab PrakashCarlos P Torres-CabalaCheng-bang ChenKamesh MadduriArvind RaoGreeshma AgasthyaFrancisco VegaDennis O'MalleyL. Jeffrey MedeirosSoundar KumaraSwami P. Iyer

metastasishematologymedicinecancer imaginghemostasisdermatologymachine learninglymphoid neoplasiaimmunologywhole-slide imagesoutcome predictionmedical imagingdeep learning

JET: Multilevel Partitioning on Gpus. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2023)

Gilbert, MichaelMadduri, KameshBoman, Erik GunnarRajamanickam, Sivasankaran

Multicore Algorithms for Graph Connectivity Problems. Chapman and Hall/CRC eBooks (2022)

George M. SlotaSivasankaran RajamanickamKamesh Madduri

Partitioning Trillion-Edge Graphs. Chapman and Hall/CRC eBooks (2022)

George M. SlotaKaren DevineKamesh MadduriSivasankaran Rajamanickam

Workshop Organization. (2022)

Balazs GerofiManya GhobadiIan Karlin

educationworkshop organization

1
2
3
4
5
18
10 / page

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Similar Faculty Members

John R. Gilbert

Institution

University of California, Santa Barbara

algorithmic library

numerical linear algebra

David O'hallaron

Institution

Carnegie Mellon University

computer architecture

hardware virtualization

Katherine A Yelick

Institution

University of California, Berkeley

computer science

parallel computing

Keshav Pingali

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Dhabaleswar Panda

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Ohio State University

high-performance computing

big data

Srinivasan Parthasarathy

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biomedical informatics

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Christopher Carothers

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Rensselaer Polytechnic Institute

parallel computing

computer science

Edgar Solomonik

Institution

University of Illinois Urbana-Champaign

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Kwan-Liu Ma

Institution

University of California, Davis

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big data

Martin D F Wong

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