Keith Chugg

Keith Chugg

University of Southern California

H-index: 36

North America-United States

About Keith Chugg

Keith Chugg, With an exceptional h-index of 36 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Communications, Deep Learning, Digital Hardware Architectures.

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

Controlling data communication quality in software-defined heterogenous multi-hop ad hoc networks

Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations

Analysis and calibration for wideband times-2 interleaved current-steering DACs

Improved Analysis of Current-Steering DACs Using Equivalent Timing Errors

Deep-n-Cheap: An automated efficient and extensible search framework for cost-effective deep learning

A Brief Introduction to the FFT

Linearization for High-Speed Current-Steering DACs Using Neural Networks

Analysis of the Average Sampling Frequency for Level Crossing Analog-to-Digital Converters

Keith Chugg Information

University

Position

Professor of Electrical Engineering

Citations(all)

4069

Citations(since 2020)

563

Cited By

3835

hIndex(all)

36

hIndex(since 2020)

13

i10Index(all)

92

i10Index(since 2020)

19

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Keith Chugg Skills & Research Interests

Communications

Deep Learning

Digital Hardware Architectures

Top articles of Keith Chugg

Title

Journal

Author(s)

Publication Date

Controlling data communication quality in software-defined heterogenous multi-hop ad hoc networks

2023/4/11

Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations

William Chang

Hassan Hamad

Keith M Chugg

2022/10/31

Analysis and calibration for wideband times-2 interleaved current-steering DACs

IEEE Transactions on Circuits and Systems I: Regular Papers

Daniel Beauchamp

Keith M Chugg

2022/8/1

Improved Analysis of Current-Steering DACs Using Equivalent Timing Errors

Daniel Beauchamp

Keith M Chugg

2022/5/27

Deep-n-Cheap: An automated efficient and extensible search framework for cost-effective deep learning

SN Computer Science

Sourya Dey

Sara Babakniya

Saikrishna C Kanala

Marco Paolieri

Leana Golubchik

...

2021/7

A Brief Introduction to the FFT

Keith M Chugg

2021/4/1

Linearization for High-Speed Current-Steering DACs Using Neural Networks

Daniel Beauchamp

Keith M Chugg

2021/2/21

Analysis of the Average Sampling Frequency for Level Crossing Analog-to-Digital Converters

Mengkun Ji

Keith M Chugg

2021/11/29

Exploring Complexity Reduction in Deep Learning

Sourya Dey

2020

Deep-n-Cheap: an automated search framework for low complexity deep learning

Sourya Dey

Saikrishna C Kanala

Keith M Chugg

Peter A Beerel

2020/9/25

Neural network training with approximate logarithmic computations

Arnab Sanyal

Peter A Beerel

Keith M Chugg

2020/5/4

Pre-defined sparsity for low-complexity convolutional neural networks

IEEE Transactions on Computers

Souvik Kundu

Mahdi Nazemi

Massoud Pedram

Keith M Chugg

Peter A Beerel

2020/2/10

See List of Professors in Keith Chugg University(University of Southern California)