Faculty

Institution

Unit

Venue

Alexandru Nicolau

Distinguished Professor

University of California, Irvine

Affiliations

Donald Bren School of Information and Computer Sciences

Department of Computer Science

Alexandru Nicolau is currently serving as a Computer Science Distinguished Professor at University of California, Irvine.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Alexandru Nicolau

University of California, Irvine

Distinguished Professor

You can click a keyword to filter the displayed items

computer science parallel computing systems engineering machine learning computer engineering electrical engineering compiler technology parallel programming computer architecture formal methods design automation memory software engineering parallel processing scientific computing program analysis programming languages high performance computer architecture hyperdimensional computing software design high-level synthesis distributed systems parallel software caching software analysis mobile computing computer-aided design microarchitecture parallelizing compiler parallel programming models annotation service parallel implementation scheduling analysis optimizing compilers concurrent programming vectorization massively-parallel computing data annotation dynamic compilation high performance computing embedded systems-on-chip system software engineering optimization electronic engineering electronic design automation concurrency theory storage performance memory management annotation tool hardware acceleration distributed computing message passing loop quantization mobile devices embedded processors loop nests fine-grain parallelism electronics vehicular technology power electronics respiratory medicine electronic memory emerging memory technologies power consumption concurrency (computer science) reconfigurable architectures data-intensive computing communication interface neural networks efficient simulation memory issues embedded processor applications pointer-based data structures high level synthesis mutation scheduling register allocation embedded architecture power-aware computing

Notable Scholarly Works

Notable Federal Grants

Collaborators

Always-Sparse Training by Growing Connections With Guided Stochastic Exploration. arXiv (Cornell University) (2024)

Heddes, MikeSrinivasa, NarayanGivargis, TonyNicolau, Alexandru

neural computationgeometric learningautonomous learningcomputer visiondeep learningguided stochastic explorationsupervised learningpattern recognitionmachine visionself-supervised learningapplied mathematicsmachine learningalways-sparse training

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries. Proceedings of the ACM on Management of Data (2024)

Mike HeddesIgor NunesTony GivargisAlex Nicolau

computer sciencecount sketchesdeep learningcardinality estimationmulti-join queriesdata miningdatabasesdata sciencequery analysisdata managementinformation retrievalmachine learning

Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Manuel E. SeguraPere VergésJustin Tian Jin ChenRamesh ArangottAngela Kristine GarciaLaura Garcia ReynosoAlexandru NicolauTony GivargisSergio Gago-Masague

optoelectronicselectrical engineeringtransdermal alcohol levelsembedded devicesapplied physicsenhanced detectionmaterials science

Hyperdimensional Computing: A Framework for Stochastic Computation and Symbolic AI. Journal Of Big Data (2024)

Mike HeddesIgor NunesTony GivargisAlexandru NicolauAlex Veidenbaum

big datahyperdimensional computingdata sciencesymbolic aistochastic computation

Molecular Classification Using Hyperdimensional Graph Classification. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Pere VergésIgor NunesMike HeddesTony GivargisAlexandru Nicolau

computer sciencegraph theorycomputational sciencehyperdimensional graph classificationmolecular biologymolecular classification

Smartwatch-Based Prediction of Transdermal Alcohol Levels Using Hyperdimensional Computing. (2024)

Pere VergésManuel E. SeguraRamesh ArangottAngela Kristine GarciaLaura Garcia ReynosoAlexandru NicolauTony GivargisSergio Gago-Masague

public healthhealth monitoringhyperdimensional computingalcohol (drug)transdermal alcohol levelssmartwatch-based prediction

Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems. (2023)

Pere VergésIgor NunesMike HeddesTony GivargisAlexandru Nicolau

computer sciencehardware accelerationhyperdimensional learningn-gram operationsmachine learning

An Extension to Basis-Hypervectors for Learning From Circular Data in Hyperdimensional Computing. (2023)

Igor NunesMike HeddesTony GivargisAlexandru Nicolau

computer sciencehyperdimensional computingcircular datamachine learning

Classification Using Hyperdimensional Computing: A~Review~With~Comparative Analysis. Research Square (Research Square) (2023)

Pere VergésMike HeddesIgor NunesTony GivargisAlexandru Nicolau

computer scienceobject categorizationdata classificationhyperdimensional computingmachine learningclassification methodelectrical engineeringimage classificationpattern recognitionmaterials science

DOTHASH: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Igor NunesMike HeddesPere VergésDanny AbrahamAlex VeidenbaumAlex NicolauTony Givargis

document deduplicationlink predictionsimilarity metricsdata scienceinformation retrievalmachine learning

1
2
3
4
5
36
10 / page

Alexandru Nicolau

Distinguished Professor

University of California, Irvine

Affiliations

Donald Bren School of Information and Computer Sciences

Department of Computer Science

Alexandru Nicolau is currently serving as a Computer Science Distinguished Professor at University of California, Irvine.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Alexandru Nicolau

University of California, Irvine

Distinguished Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Always-Sparse Training by Growing Connections With Guided Stochastic Exploration. arXiv (Cornell University) (2024)

Heddes, MikeSrinivasa, NarayanGivargis, TonyNicolau, Alexandru

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries. Proceedings of the ACM on Management of Data (2024)

Mike HeddesIgor NunesTony GivargisAlex Nicolau

computer sciencecount sketchesdeep learningcardinality estimationmulti-join queriesdata miningdatabasesdata sciencequery analysisdata managementinformation retrievalmachine learning

Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Manuel E. SeguraPere VergésJustin Tian Jin ChenRamesh ArangottAngela Kristine GarciaLaura Garcia ReynosoAlexandru NicolauTony GivargisSergio Gago-Masague

optoelectronicselectrical engineeringtransdermal alcohol levelsembedded devicesapplied physicsenhanced detectionmaterials science

Hyperdimensional Computing: A Framework for Stochastic Computation and Symbolic AI. Journal Of Big Data (2024)

Mike HeddesIgor NunesTony GivargisAlexandru NicolauAlex Veidenbaum

big datahyperdimensional computingdata sciencesymbolic aistochastic computation

Molecular Classification Using Hyperdimensional Graph Classification. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Pere VergésIgor NunesMike HeddesTony GivargisAlexandru Nicolau

computer sciencegraph theorycomputational sciencehyperdimensional graph classificationmolecular biologymolecular classification

Smartwatch-Based Prediction of Transdermal Alcohol Levels Using Hyperdimensional Computing. (2024)

Pere VergésManuel E. SeguraRamesh ArangottAngela Kristine GarciaLaura Garcia ReynosoAlexandru NicolauTony GivargisSergio Gago-Masague

public healthhealth monitoringhyperdimensional computingalcohol (drug)transdermal alcohol levelssmartwatch-based prediction

Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems. (2023)

Pere VergésIgor NunesMike HeddesTony GivargisAlexandru Nicolau

computer sciencehardware accelerationhyperdimensional learningn-gram operationsmachine learning

An Extension to Basis-Hypervectors for Learning From Circular Data in Hyperdimensional Computing. (2023)

Igor NunesMike HeddesTony GivargisAlexandru Nicolau

computer sciencehyperdimensional computingcircular datamachine learning

Classification Using Hyperdimensional Computing: A~Review~With~Comparative Analysis. Research Square (Research Square) (2023)

Pere VergésMike HeddesIgor NunesTony GivargisAlexandru Nicolau

computer scienceobject categorizationdata classificationhyperdimensional computingmachine learningclassification methodelectrical engineeringimage classificationpattern recognitionmaterials science

DOTHASH: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Igor NunesMike HeddesPere VergésDanny AbrahamAlex VeidenbaumAlex NicolauTony Givargis

document deduplicationlink predictionsimilarity metricsdata scienceinformation retrievalmachine learning

1
2
3
4
5
36
10 / page

Similar Faculty Members

Barbara Chapman

Institution

Stony Brook University

parallel complexity theory

high performance computing

Keshav Pingali

Institution

University of Texas at Austin

parallel computing

computer engineering

Mary Hall

Institution

University of Utah

optimizing compiler

parallel computing

Andrew A. Chien

Institution

University of Chicago

computer science

systems engineering

Vaidy Sunderam

Institution

Emory University

scalability

massively-parallel computing

David O'hallaron

Institution

Carnegie Mellon University

computer architecture

hardware virtualization

Nikil D. Dutt

Institution

University of California, Irvine

electronic design automation

computer engineering

Dimitrios S. Nikolopoulos

Institution

Virginia Tech

high performance computing

parallel computing

James C. Hoe

Institution

Carnegie Mellon University

design automation

high-level hardware design

Siddharth Garg

Institution

New York University

data security

homomorphic data encryption

Similar Faculty Members

Barbara Chapman

Institution

Stony Brook University

parallel complexity theory

high performance computing

Keshav Pingali

Institution

University of Texas at Austin

parallel computing

computer engineering

Mary Hall

Institution

University of Utah

optimizing compiler

parallel computing

Andrew A. Chien

Institution

University of Chicago

computer science

systems engineering

Vaidy Sunderam

Institution

Emory University

scalability

massively-parallel computing

David O'hallaron

Institution

Carnegie Mellon University

computer architecture

hardware virtualization

Nikil D. Dutt

Institution

University of California, Irvine

electronic design automation

computer engineering

Dimitrios S. Nikolopoulos

Institution

Virginia Tech

high performance computing

parallel computing

James C. Hoe

Institution

Carnegie Mellon University

design automation

high-level hardware design

Siddharth Garg

Institution

New York University

data security

homomorphic data encryption