2026 Alexandru Nicolau: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	60	3275	3181	1586	1528	364	12741

Research.com Recognitions

2015 - IEEE Fellow For contributions to compiler technology and electronic design automation

Overview

Alexandru Nicolau is affiliated with the University of California, Irvine in the United States. Their research spans multiple domains within engineering and computer science, with a particular focus on electrical and electronic engineering, artificial intelligence, and related subfields.

Their main fields of study include:

Engineering
Computer Science

Subfields of study relevant to their work consist of:

Electrical and Electronic Engineering
Artificial Intelligence
Surgery
Materials Chemistry
Hardware and Architecture

The scientist's research topics cover:

Ferroelectric and Negative Capacitance Devices
Advanced Memory and Neural Computing
Neural Networks and Reservoir Computing
2D Materials and Applications
Parallel Computing and Optimization Techniques
Sepsis Diagnosis and Treatment
Appendicitis Diagnosis and Management

Nicolau has contributed to research published in various venues, including:

arXiv (Cornell University)
Jurnalul de Chirurgie
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Chirurgia
bioRxiv (Cold Spring Harbor Laboratory)

Selected recent publications include:

"GraphHD: Efficient graph classification using hyperdimensional computing," 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
"Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures," 2022, arXiv (Cornell University)
"Hyperdimensional hashing," 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference
"Detecting COVID-19 Related Pneumonia On CT Scans Using Hyperdimensional Computing," 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
"HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing," 2023, arXiv (Cornell University)

Frequent co-authors in Nicolau's research collaborations include:

Tony Givargis
Mike Heddes
Alexander V. Veidenbaum
Igor Nunes
Pere Vergés

Alexandru Nicolau has been recognized as an IEEE Fellow since 2015, for contributions to compiler technology and electronic design automation.

Best Publications

EXPRESSION: a language for architecture exploration through compiler/simulator retargetability

Ashok Halambi;Peter Grun;Vijay Ganesh;Asheesh Khare

598
Citations
SPARK: a high-level synthesis framework for applying parallelizing compiler transformations

S. Gupta;N. Dutt;R. Gupta;A. Nicolau

505
Citations
Automatic program parallelization

U. Banerjee;R. Eigenmann;A. Nicolau;D.A. Padua

505
Citations
Efficient utilization of scratch-pad memory in embedded processor applications

Preeti Ranjan Panda;Nikil D. Dutt;Alexandru Nicolau

400
Citations
Optimal loop parallelization

A. Aiken;A. Nicolau

388
Citations
Memory Issues in Embedded Systems-on-Chip: Optimizations and Exploration

Preeti Ranjan Panda;Alexandru Nicolau;Nikil Dutt

353
Citations
On-chip vs. off-chip memory: the data partitioning problem in embedded processor-based systems

Preeti Ranjan Panda;Nikil D. Dutt;Alexandru Nicolau

330
Citations
Parallelizing programs with recursive data structures

L.J. Hendren;A. Nicolau

285
Citations
Perfect Pipelining: A New Loop Parallelization Technique

Alexander Aiken;Alexandru Nicolau

266
Citations
Partitioned register files for VLIWs: a preliminary analysis of tradeoffs

Andrea Capitanio;Nikil Dutt;Alexandru Nicolau

236
Citations
Parallel processing: a smart compiler and a dumb machine

Joseph A. Fisher;John R. Ellis;John C. Ruttenberg;Alexandru Nicolau

212
Citations
Profile-Based Dynamic Voltage Scheduling Using Program Checkpoints

A. Azevedo;I. Issenin;R. Cornea;R. Gupta

211
Citations
Adapting cache line size to application behavior

Alexander V. Veidenbaum;Weiyu Tang;Rajesh Gupta;Alexandru Nicolau

206
Citations
Memory Issues in Embedded Systems-on-Chip

Preeti Ranjan Panda;Nikil Dutt;Alexandru Nicolau

204
Citations
Underdesigned and Opportunistic Computing in Presence of Hardware Variability

P. Gupta;Y. Agarwal;L. Dolecek;N. Dutt

186
Citations
Adaptive Bitonic Sorting: An Optimal Parallel Algorithm for Shared Memory Machines

Gianfranco Bilardi;Alexandru Nicolau

185
Citations
Measuring the Parallelism Available for Very Long Instruction Word Architectures

Unknown

185
Citations
Integrated power management for video streaming to mobile handheld devices

Shivajit Mohapatra;Radu Cornea;Nikil Dutt;Alex Nicolau

180
Citations
Percolation Scheduling: A Parallel Compilation Technique

Alexandru Nicolau

180
Citations
A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Jayram Moorkanikara Nageswaran;Nikil Dutt;Jeffrey L. Krichmar;Alex Nicolau

176
Citations
Automatic program parallelization : Languages and compilers

Uptal Banerjee;R. Eigenmann;A. Nicolau;D. A. Padua

2
Citations

Frequent Co-Authors

Nikil Dutt University of California, Irvine

Rajesh Gupta University of California, San Diego

Constantine D. Polychronopoulos University of Illinois at Urbana-Champaign

Puneet Gupta University of California, Los Angeles

David Padua University of Illinois at Urbana-Champaign

Alex Aiken Stanford University

Laurie Hendren McGill University

David Gelernter Yale University

Nalini Venkatasubramanian University of California, Irvine

Zhi Chen University of Kentucky

External Links

Personal website of Alexandru Nicolau Google Scholar page

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