2026 Paul R. Prucnal: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Electronics and Electrical Engineering	71	841	802	362	333	736	23633

Research.com Recognitions

2017 - Fellow, National Academy of Inventors
1992 - IEEE Fellow For contributions to photonic switching and fiber-optics networks.

Overview

Paul R. Prucnal is affiliated with Princeton University in the United States. Their research spans broadly within the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering and Artificial Intelligence. Their primary areas of study include Neural Networks and Reservoir Computing, Photonic and Optical Devices, and Optical Network Technologies.

The scientist has published extensively in various venues. Frequent publication venues include arXiv (Cornell University), IEEE Journal of Selected Topics in Quantum Electronics, Conference on Lasers and Electro-Optics, Optica, and Optics Letters.

Notable recent papers authored or coauthored by Paul R. Prucnal include:

Silicon photonic-electronic neural network for fibre nonlinearity compensation (2021, arXiv (Cornell University))
Roadmap on emerging hardware and technology for machine learning (2020, Nanotechnology)
Reconfigurable all-optical nonlinear activation functions for neuromorphic photonics (2020, Optics Letters)
Silicon microring synapses enable photonic deep learning beyond 9-bit precision (2022, Optica)
Demonstration of scalable microring weight bank control for large-scale photonic integrated circuits (2020, APL Photonics)

The scientist collaborates frequently with several researchers. Frequent co-authors include:

Bhavin J. Shastri
Thomas Ferreira de Lima
Simon Bilodeau
Alexander N. Tait
Chaoran Huang

The main topics covered by their work are:

Neural Networks and Reservoir Computing
Photonic and Optical Devices
Optical Network Technologies
Advanced Memory and Neural Computing
Advanced Photonic Communication Systems
Blind Source Separation Techniques
Neural Networks and Applications

Paul R. Prucnal has been recognized with several awards. They are an IEEE Fellow since 1992, acknowledged for contributions to photonic switching and fiber-optics networks, and a Fellow of the National Academy of Inventors since 2017.

Best Publications

Photonics for artificial intelligence and neuromorphic computing

Bhavin J. Shastri;Alexander N. Tait;Thomas Ferreira de Lima;Wolfram H. P. Pernice

1463
Citations
Photonics for artificial intelligence and neuromorphic computing

Bhavin J. Shastri;Bhavin J. Shastri;Alexander N. Tait;Alexander N. Tait;T. Ferreira de Lima;Wolfram H. P. Pernice

1410
Citations
Spread spectrum fiber-optic local area network using optical processing

P. Prucnal;M. Santoro;Ting Fan

971
Citations
A terahertz optical asymmetric demultiplexer (TOAD)

J.P. Sokoloff;P.R. Prucnal;I. Glesk;M. Kane

922
Citations
Neuromorphic photonic networks using silicon photonic weight banks.

Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

831
Citations
Performance comparison of asynchronous and synchronous code-division multiple-access techniques for fiber-optic local area networks

W.C. Kwong;P.A. Perrier;P.R. Prucnal

470
Citations
Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

Alexander N. Tait;Mitchell A. Nahmias;Bhavin J. Shastri;Paul Richard Prucnal

468
Citations
Optical Code Division Multiple Access : Fundamentals and Applications

Paul R. Prucnal

384
Citations
Optical Layer Security in Fiber-Optic Networks

M. P. Fok;Zhexing Wang;Yanhua Deng;P. R. Prucnal

378
Citations
Photonic packet switches: architectures and experimental implementations

D.J. Blumenthal;P.R. Prucnal;J.R. Sauer

370
Citations
A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing

M. A. Nahmias;B. J. Shastri;A. N. Tait;P. R. Prucnal

366
Citations
A silicon photonic modulator neuron

Alexander N. Tait;Thomas Ferreira de Lima;Mitchell A. Nahmias;Heidi B. Miller

318
Citations
Photonic Multiply-Accumulate Operations for Neural Networks

Mitchell A. Nahmias;Thomas Ferreira de Lima;Alexander N. Tait;Hsuan-Tung Peng

288
Citations
A silicon photonic–electronic neural network for fibre nonlinearity compensation

Chaoran Huang;Chaoran Huang;Shinsuke Fujisawa;Shinsuke Fujisawa;Thomas Ferreira de Lima;Alexander N. Tait

274
Citations
Recent progress in semiconductor excitable lasers for photonic spike processing

Paul Richard Prucnal;Bhavin J. Shastri;Thomas Ferreira de Lima;Mitchell A. Nahmias

268
Citations
Ultrafast All-Optical Synchronous Multiple Access Fiber Networks

P. Prucnal;M. Santoro;S. Sehgal

266
Citations
Microring Weight Banks

Alexander N. Tait;Allie X. Wu;Thomas Ferreira de Lima;Ellen Zhou

238
Citations
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

Viraj Bangari;Bicky A. Marquez;Heidi Miller;Alexander N. Tait

236
Citations
Neuromorphic Silicon Photonic Networks

Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

224
Citations
A widely tunable narrow linewidth semiconductor fiber ring laser

Deyu Zhou;P.R. Prucnal;I. Glesk

216
Citations
Progress in neuromorphic photonics

Thomas Ferreira De Lima;Bhavin J. Shastri;Alexander N. Tait;Mitchell A. Nahmias

215
Citations
Demonstration of all-optical demultiplexing of TDM data at 250 Gbit/s

I. Glesk;J. P. Sokoloff;P. R. Prucnal

214
Citations
Analysis and comparison of hot-potato and single-buffer deflection routing in very high bit rate optical mesh networks

F. Forghieri;A. Bononi;P.R. Prucnal

195
Citations

Frequent Co-Authors

Ivan Glesk University of Strathclyde

Ting Wang Washington University in St. Louis

Volker J. Sorger George Washington University

Richard M. Osgood Columbia University

Daniel J. Blumenthal University of California, Santa Barbara

Eric R. Fossum Dartmouth College

Stephen R. Forrest University of Michigan–Ann Arbor

Ying-Sheng Huang National Taiwan University of Science and Technology

Ivan Andonovic University of Strathclyde

Jacob B. Khurgin Johns Hopkins University

External Links

Wikipedia of Paul R. Prucnal Personal website of Paul R. Prucnal Google Scholar page

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