Faculty

Institution

Unit

Venue

V. Mathews

Adjunct Professor Professor of Electrical and Computer Engineering

University of Utah

Affiliations

John and Marcia Price College of Engineering

Electrical and Computer Engineering

V. Mathews is currently serving as an Electrical And Computer Engineering Adjunct Professor Professor of Electrical and Computer Engineering at University of Utah.

Honors

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Experiences

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Education

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V. Mathews

University of Utah

Adjunct Professor Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

signal processing electrical engineering digital signal processing computer science machine learning speech processing audio signal processing applied mathematics acoustic signal processing neuroscience instrumentation filter design ultrasound acoustical engineering computer vision respiratory medicine transaction processing audio electroacoustics septic shock neural engineering structural health monitoring audio analysis filtering technique image compression adaptive filter digital hearing aids vector quantization intensive care obstetrics and gynaecology rehabilitation robotics obstetrics optical engineering system identification heart rate variability severe sepsis wireless communications automatic control medical ultrasound motion control analog design channel equalization state estimation frequency control lattice theory speech technology brain stimulation spectrum estimation estimation theory sonar signal processing sign algorithm power electronics speech enhancement statistical signal processing neurostimulation channel estimation hemostasis communication engineering adaptive unsharp masking likelihood-based algorithm periodic input sequences time delay estimation adaptive gain processing feedback cancellation mean frequency estimation narrowband signals cdma systems neurorehabilitation resuscitation statistical methodology computational statistics physiological measurements health technology infection control applied physiology circulatory physiology polynomial signal processing technology soft computing signal processing techniques health monitoring biosignal processing data science digital medicine neural network (machine learning) adaptive signal processing

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Multimodal Assistive-Robotic-Arm Control System to Increase Independence After Tetraplegia. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024)

Taylor C. HansenTroy N. TullyV. John MathewsDavid J. Warren

spinal cord injurycontrol systemsneuroscienceneural engineeringbiomedical engineeringrehabilitation roboticsassistive technologyrehabilitationrehabilitation engineering

A Standardized Vibro-Tactile Sensory Feedback System for Upper-Limb Prostheses. (2024)

Niloufar BesharatzadTegan ThurstonSean SylwesterV John Mathews

vestibular systemhaptic feedbackmechanical engineeringrehabilitationupper-limb prostheseswearable technologyhuman movementsensorsupper extremitybiomedical engineeringmotor controlprosthesisrehabilitation engineeringhaptic technologies

An Online Learning Algorithm for Adapting Leg Stiffness and Stride Angle for Efficient Quadruped Robot Trotting. Frontiers in Robotics and AI (2023)

Mahtab AboufazeliAli Samare FilsoofiJason GurneySanford G. MeekV John Mathews

leg stiffnessstride angleembodied roboticsroboticsonline learningrobot trottingrehabilitation roboticsbio-inspired roboticsrehabilitationbiomechanicsonline learning algorithmmechanical engineering

Blind Source Separation for Surface Electromyograms Using a Bayesian Approach. 2021 29th European Signal Processing Conference (EUSIPCO) (2022)

Mahtab AboufazeliV John Mathews

surface electromyogramssignal processingelectrical engineering

UPED: A Quadruped Robot Platform to Study Directional Leg Compliance. Journal of Mechanisms and Robotics (2022)

Jason GurneyAli Samare FilsoofiEric McClainChris BolejackMahtab AboufazeliV. John MathewsSanford Meek

directional leg complianceroboticsrehabilitation roboticsquadruped robot platformmechanical engineering

A Fast Unsupervised Online Learning Algorithm to Detect Structural Damage in Time-Varying Environments. (2021)

Karthik GopalakrishnanV. John Mathews

structural damagetime-varying environmentsengineeringmachine learning

Interpreting Volitional Movement Intent From Biological Signals: A Review. IEEE Signal Processing Magazine (2021)

Henrique DantasTaylor C. HansenDavid J. WarrenV. John Mathews

biological signalsvolitional movement intentmovement analysisneurosciencebehavioral sciencesdigital signal processingcognitive sciencesignal processing

A Nonlinear Latching Filter to Remove Jitter From Movement Estimates for Prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020)

Jacob NieveenMark BrintonDavid J. WarrenV John Mathews

movement estimatesneural engineeringrehabilitation roboticsnonlinear latching filterrehabilitationrehabilitation engineering

Compensation of Temperature Effects on Lamb Waves Using Mode Decomposition and a Nonlinear Model. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2020)

Ahmad Bassil ZoubiV. John Mathews

nonlinear modeltemperature effectsultrasoundbioelectronicsmicrowave engineeringlamb wavesfrequency controlacoustical engineeringthermal engineeringapplied physicsmode decompositionelectronicselectrical engineeringmechanical engineering

Sensor Placement for a Pairwise Sensing Model: Framework and Algorithms. (2020)

Geethu JosephChandra R. MurthyV John Mathews

sensor placementsignal processingsystems engineeringengineering

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V. Mathews

Adjunct Professor Professor of Electrical and Computer Engineering

University of Utah

Affiliations

John and Marcia Price College of Engineering

Electrical and Computer Engineering

V. Mathews is currently serving as an Electrical And Computer Engineering Adjunct Professor Professor of Electrical and Computer Engineering at University of Utah.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

V. Mathews

University of Utah

Adjunct Professor Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Multimodal Assistive-Robotic-Arm Control System to Increase Independence After Tetraplegia. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024)

Taylor C. HansenTroy N. TullyV. John MathewsDavid J. Warren

spinal cord injurycontrol systemsneuroscienceneural engineeringbiomedical engineeringrehabilitation roboticsassistive technologyrehabilitationrehabilitation engineering

A Standardized Vibro-Tactile Sensory Feedback System for Upper-Limb Prostheses. (2024)

Niloufar BesharatzadTegan ThurstonSean SylwesterV John Mathews

An Online Learning Algorithm for Adapting Leg Stiffness and Stride Angle for Efficient Quadruped Robot Trotting. Frontiers in Robotics and AI (2023)

Mahtab AboufazeliAli Samare FilsoofiJason GurneySanford G. MeekV John Mathews

leg stiffnessstride angleembodied roboticsroboticsonline learningrobot trottingrehabilitation roboticsbio-inspired roboticsrehabilitationbiomechanicsonline learning algorithmmechanical engineering

Blind Source Separation for Surface Electromyograms Using a Bayesian Approach. 2021 29th European Signal Processing Conference (EUSIPCO) (2022)

Mahtab AboufazeliV John Mathews

surface electromyogramssignal processingelectrical engineering

UPED: A Quadruped Robot Platform to Study Directional Leg Compliance. Journal of Mechanisms and Robotics (2022)

Jason GurneyAli Samare FilsoofiEric McClainChris BolejackMahtab AboufazeliV. John MathewsSanford Meek

directional leg complianceroboticsrehabilitation roboticsquadruped robot platformmechanical engineering

A Fast Unsupervised Online Learning Algorithm to Detect Structural Damage in Time-Varying Environments. (2021)

Karthik GopalakrishnanV. John Mathews

structural damagetime-varying environmentsengineeringmachine learning

Interpreting Volitional Movement Intent From Biological Signals: A Review. IEEE Signal Processing Magazine (2021)

Henrique DantasTaylor C. HansenDavid J. WarrenV. John Mathews

biological signalsvolitional movement intentmovement analysisneurosciencebehavioral sciencesdigital signal processingcognitive sciencesignal processing

A Nonlinear Latching Filter to Remove Jitter From Movement Estimates for Prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020)

Jacob NieveenMark BrintonDavid J. WarrenV John Mathews

movement estimatesneural engineeringrehabilitation roboticsnonlinear latching filterrehabilitationrehabilitation engineering

Compensation of Temperature Effects on Lamb Waves Using Mode Decomposition and a Nonlinear Model. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2020)

Ahmad Bassil ZoubiV. John Mathews

Sensor Placement for a Pairwise Sensing Model: Framework and Algorithms. (2020)

Geethu JosephChandra R. MurthyV John Mathews

sensor placementsignal processingsystems engineeringengineering

1
2
3
4
5
16
10 / page

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Similar Faculty Members

V John Mathews

Institution

Oregon State University

health monitoring

neural network (machine learning)

Kenneth Barner

Institution

University of Delaware

signal sampling

rehabilitation

Sanjit Mitra

Institution

University of California, Santa Barbara

electrical engineering

digital signal processing

Issa Panahi

Institution

University of Texas at Dallas

industrial informatics

signal processing

Armando Barreto

Institution

Florida International University

industrial informatics

computer engineering

Deniz Erdogmus

Institution

Northeastern University

machine learning

neuroscience

Ahmet Enis Cetin

Institution

University of Illinois Chicago

deep learning

image classification

Gonzalo R. Arce

Institution

University of Delaware

computational imaging

statistics

Ranu Jung

Institution

University of Arkansas

neuroscience

bioelectronics

Magdy Bayoumi

Institution

University of Louisiana at Lafayette

computer engineering

cognitive radio