Alex Nicolau

Alex Nicolau

University of California, Irvine

H-index: 64

North America-United States

About Alex Nicolau

Alex Nicolau, With an exceptional h-index of 64 and a recent h-index of 17 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Software, Compilers, Supercomputing, EDA, Parallel Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

NGLIC: A Nonaligned-Row Legalization Approach for 3-D Interdie Connection

Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices

Molecular Classification Using Hyperdimensional Graph Classification

Always-Sparse Training by Growing Connections with Guided Stochastic Exploration

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries

RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing

HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing

Enhancing the Privacy of Machine Learning via faster arithmetic over Torus FHE

Alex Nicolau Information

University

Position

Professor of Computer Science

Citations(all)

14442

Citations(since 2020)

1197

Cited By

13527

hIndex(all)

64

hIndex(since 2020)

17

i10Index(all)

216

i10Index(since 2020)

37

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Alex Nicolau Skills & Research Interests

Software

Compilers

Supercomputing

EDA

Parallel Processing

Top articles of Alex Nicolau

Title

Journal

Author(s)

Publication Date

NGLIC: A Nonaligned-Row Legalization Approach for 3-D Interdie Connection

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Zheng Xiao

Weijie Chen

Yunchuan Qin

Fan Wu

Anthony Theodore Chronopoulos

...

2024/2

Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices

arXiv preprint arXiv:2403.12323

Manuel E Segura

Pere Verges

Justin Tian Jin Chen

Ramesh Arangott

Angela Kristine Garcia

...

2024/3/18

Molecular Classification Using Hyperdimensional Graph Classification

arXiv preprint arXiv:2403.12307

Pere Verges

Igor Nunes

Mike Heddes

Tony Givargis

Alexandru Nicolau

2024/3/18

Always-Sparse Training by Growing Connections with Guided Stochastic Exploration

arXiv preprint arXiv:2401.06898

Mike Heddes

Narayan Srinivasa

Tony Givargis

Alexandru Nicolau

2024/1/12

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries

arXiv preprint arXiv:2402.15953

Mike Heddes

Igor Nunes

Tony Givargis

Alex Nicolau

2024/2/25

RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing

Pere Vergés

Tony Givargis

Alexandru Nicolau

2023/12/5

HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing

arXiv preprint arXiv:2304.12398

Pere Vergés

Mike Heddes

Igor Nunes

Tony Givargis

Alexandru Nicolau

2023/4/24

Enhancing the Privacy of Machine Learning via faster arithmetic over Torus FHE

Marc Titus Trifan

Alexandru Nicolau

Alexander Veidenbaum

2023/7/1

Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems

Pere Vergés

Igor Nunes

Mike Heddes

Tony Givargis

Alexandru Nicolau

2023/8/30

Dothash: Estimating set similarity metrics for link prediction and document deduplication

Igor Nunes

Mike Heddes

Pere Vergés

Danny Abraham

Alexander Veidenbaum

...

2023

Torchhd: An open source Python library to support research on hyperdimensional computing and vector symbolic architectures

Journal of Machine Learning Research

Mike Heddes

Igor Nunes

Pere Vergés

Denis Kleyko

Danny Abraham

...

2023

Always-Sparse Training with Guided Stochastic Exploration

Mike Heddes

Narayan Srinivasa

Tony Givargis

Alexandru Nicolau

2023/10/13

Using Hyperdimensional Computing to Extract Features for the Detection of Type 2 Diabetes

Neftali Watkinson

Divya Devineni

Victor Joe

Tony Givargis

Alexandru Nicolau

...

2023/5/15

An extension to basis-hypervectors for learning from circular data in hyperdimensional computing

Igor Nunes

Mike Heddes

Tony Givargis

Alexandru Nicolau

2023

Classification using Hyperdimensional Computing: A~ Review~ with~ Comparative Analysis

Lulu Ge

Keshab K Parhi

2020/6/3

Hyperdimensional hashing: A robust and efficient dynamic hash table

Mike Heddes

Igor Nunes

Tony Givargis

Alexandru Nicolau

Alex Veidenbaum

2022/8/23

GraphHD: Efficient graph classification using hyperdimensional computing

Igor Nunes

Mike Heddes

Tony Givargis

Alexandru Nicolau

Alex Veidenbaum

2022/3/14

Torchhd: An open-source python library to support hyperdimensional computing research

arXiv preprint arXiv:2205.09208

Mike Heddes

Igor Nunes

Pere Vergés

Dheyay Desai

Tony Givargis

...

2022/5/18

A Heterogeneous Solution to the All-pairs Shortest Path Problem using FPGAs

Mihnea Chirila

Paolo D’Alberto

Hsin-Yu Ting

Alexander Veidenbaum

Alexandru Nicolau

2022/4/6

Detecting COVID-19 related pneumonia on CT scans using hyperdimensional computing

Neftali Watkinson

Tony Givargis

Victor Joe

Alexandru Nicolau

Alexander Veidenbaum

2021/11/1

See List of Professors in Alex Nicolau University(University of California, Irvine)

Co-Authors

H-index: 86
Alex Aiken

Alex Aiken

Stanford University

H-index: 74
Nikil Dutt

Nikil Dutt

University of California, Irvine

H-index: 73
Rajesh K. Gupta

Rajesh K. Gupta

University of California, San Diego

H-index: 65
David Padua

David Padua

University of Illinois at Urbana-Champaign

H-index: 46
Nalini Venkatasubramanian

Nalini Venkatasubramanian

University of California, Irvine

H-index: 45
Prabhat Mishra

Prabhat Mishra

University of Florida

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