S. Andrew Gadsden

S. Andrew Gadsden

University of Guelph

H-index: 31

North America-Canada

About S. Andrew Gadsden

S. Andrew Gadsden, With an exceptional h-index of 31 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Guelph, specializes in the field of intelligent control, estimation theory, artificial intelligence, smart systems, cognitive systems.

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

Battery State of Health Estimation Using the Sliding Interacting Multiple Model Strategy

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection

Convolutional variational autoencoders for secure lossy image compression in remote sensing

A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos)

A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets

Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics

Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends

Cognitive dynamic systems: A review of theory, applications, and recent advances

S. Andrew Gadsden Information

University

Position

College of Engineering and Physical Sciences

Citations(all)

4183

Citations(since 2020)

3300

Cited By

1539

hIndex(all)

31

hIndex(since 2020)

27

i10Index(all)

96

i10Index(since 2020)

82

Email

University Profile Page

University of Guelph

Google Scholar

View Google Scholar Profile

S. Andrew Gadsden Skills & Research Interests

intelligent control

estimation theory

artificial intelligence

smart systems

cognitive systems

Top articles of S. Andrew Gadsden

Title

Journal

Author(s)

Publication Date

Battery State of Health Estimation Using the Sliding Interacting Multiple Model Strategy

Energies

Richard Bustos

Stephen Andrew Gadsden

Mohammad Biglarbegian

Mohammad AlShabi

Shohel Mahmud

2024/1/22

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection

Yuandi Wu

Brett Sicard

Stephen Andrew Gadsden

2024/1/22

Convolutional variational autoencoders for secure lossy image compression in remote sensing

arXiv preprint arXiv:2404.03696

Alessandro Giuliano

S Andrew Gadsden

Waleed Hilal

John Yawney

2024/4/3

A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos)

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Ali Ammar

Naseem Alsadi

Jonathan D Adachi

Stephen A Gadsden

Cheryl E Quenneville

2024/1/19

A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets

Sensors

Sahab Edrisi

Javad Enayati

Abolfazl Rahimnejad

Stephen Andrew Gadsden

2024/3/25

Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics

IEEE Transactions on Intelligent Vehicles

Zhe Xu

Tao Yan

Simon X Yang

S Andrew Gadsden

Mohammad Biglarbegian

2024/3/21

Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends

Jadyn Powell

Alex McCafferty-Leroux

Waleed Hilal

Stephen Andrew Gadsden

2024/1/23

Cognitive dynamic systems: A review of theory, applications, and recent advances

Waleed Hilal

S Andrew Gadsden

John Yawney

2023/5/16

Developing Experiments to Teach Control Theory

Stephen Andrew Wilkerson

Stephen Andrew Gadsden

Andrew Lee

2023/6/25

De-novo Chemical Reaction Generation by Means of Temporarily Convolutional Neural Networks

arXiv preprint arXiv:2310.17341

Andrei Buin

Hung Yi Chiang

S Andrew Gadsden

Faraz A Alderson

2023/10/26

Combined Kalman and sliding innovation filtering: An adaptive estimation strategy

Measurement

Andrew S Lee

Waleed Hilal

S Andrew Gadsden

M Al-Shabi

2023/8/15

An improved nanosatellite attitude control simulator for experimental research

Alex McCafferty-Leroux

Andrew Newton

S Andrew Gadsden

2023/6/13

The extended Luenberger sliding innovation filter

Mohammad AlShabi

Andrew Gadsden

Khaled Obaideen

2023/6/14

An adaptive formulation of the smooth variable structure filter based on static multiple models

Int. J. Robot. Autom

Andrew S Lee

S Andrew Gadsden

Stephen A Wilkerson

Mohammad AlShabi

2023

Generalizing the unscented Kalman filter for state estimation

Quade Butler

Waleed Hilal

Brett Sicard

Youssef Ziada

S Andrew Gadsden

2023/6/14

Lithium-Ion Battery Health Estimation Using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles

Applied Sciences

Richard Bustos

S Andrew Gadsden

Mohammad Al-Shabi

Shohel Mahmud

2023/1/14

Control of Mobile Robots for Collision Avoidance

Naseem Alsadi

Gary Bone

S Andrew Gadsden

Mohammad AlShabi

2023/2/20

A cognitive dynamics framework for practical blockchain applications

Naseem Alsadi

Stephen A Gadsden

John Yawney

2023/6/15

Distributed Leader Follower Formation Control of Mobile Robots based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter

IEEE Transactions on Industrial Informatics

Zhe Xu

Tao Yan

Simon X Yang

S Andrew Gadsden

2023/5/3

An adaptive SIF and KF estimation strategy for fault detection based on the NIS metric

Waleed Hilal

Naseem Alsadi

Stephen A Gadsden

Mohammad AlShabi

2023/6/13

See List of Professors in S. Andrew Gadsden University(University of Guelph)

Co-Authors

H-index: 65
Simon X. Yang

Simon X. Yang

University of Guelph

H-index: 47
shohel mahmud

shohel mahmud

University of Guelph

H-index: 24
Mohammad AlShabi

Mohammad AlShabi

University of Sharjah

H-index: 17
Kevin Turpie

Kevin Turpie

University of Maryland, Baltimore County

H-index: 11
Hamed Afshari, PhD

Hamed Afshari, PhD

McMaster University

H-index: 5
Elyse D. Hill

Elyse D. Hill

University of Guelph

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