Sridhar (Sri) Krishnan

Sridhar (Sri) Krishnan

Ryerson University

H-index: 45

North America-Canada

About Sridhar (Sri) Krishnan

Sridhar (Sri) Krishnan, With an exceptional h-index of 45 and a recent h-index of 31 (since 2020), a distinguished researcher at Ryerson University, specializes in the field of biomedical signal analysis, audio signal analysis, digital healthcare, machine learning, time-frequency theory.

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

Modeling of Biomedical Signal‐generating Processes and Systems

Adaptive Analysis of Nonstationary Signals

Development and Implementation of a Stress Monitoring Paradigm Using Virtual Reality Simulation During the COVID-19 Pandemic

IEEE Press Series in Biomedical Engineering

Digital Interventions for Stress Among Frontline Health Care Workers: Results From a Pilot Feasibility Cohort Trial

Computer‐aided Diagnosis and Healthcare

Introduction to biomedical signals

Detection of Events

Sridhar (Sri) Krishnan Information

University

Position

Professor

Citations(all)

9946

Citations(since 2020)

4227

Cited By

5788

hIndex(all)

45

hIndex(since 2020)

31

i10Index(all)

168

i10Index(since 2020)

86

Email

University Profile Page

Ryerson University

Google Scholar

View Google Scholar Profile

Sridhar (Sri) Krishnan Skills & Research Interests

biomedical signal analysis

audio signal analysis

digital healthcare

machine learning

time-frequency theory

Top articles of Sridhar (Sri) Krishnan

Title

Journal

Author(s)

Publication Date

Modeling of Biomedical Signal‐generating Processes and Systems

Rangaraj M Rangayyan

Sridhar Krishnan

2024

Adaptive Analysis of Nonstationary Signals

Rangaraj M Rangayyan

Sridhar Krishnan

2024

Development and Implementation of a Stress Monitoring Paradigm Using Virtual Reality Simulation During the COVID-19 Pandemic

Cureus

Andrei Torres

Binh Nguyen

Bill Kapralos

Sridhar Krishnan

Douglas M Campbell

...

2024/2/2

IEEE Press Series in Biomedical Engineering

Bhaskar DasGupta

Jie Liang

2016

Digital Interventions for Stress Among Frontline Health Care Workers: Results From a Pilot Feasibility Cohort Trial

JMIR Serious Games

Caroline W Espinola

Binh Nguyen

Andrei Torres

Walter Sim

Alice Rueda

...

2024/1/9

Computer‐aided Diagnosis and Healthcare

Rangaraj M Rangayyan

Sridhar Krishnan

2024

Introduction to biomedical signals

Rangaraj M Rangayyan

Sridhar Krishnan

2024

Detection of Events

Rangaraj M Rangayyan

2015

Signal Analysis via Adaptive Decomposition

Rangaraj M Rangayyan

Sridhar Krishnan

2024

Time-Frequency Scattergrams for Biomedical Audio Signal Representation and Classification

IEEE/ACM Transactions on Audio, Speech, and Language Processing

G. Sharma

K. Umapathy

S. Krishnan

2024

Methodology based on machine learning through neck motion and POF-based pressure sensors for wheelchair operation

Sensors and Actuators A: Physical

AX Gonzalez-Cely

Cristian Felipe Blanco-Diaz

D Delisle-Rodriguez

Camilo AR Diaz

TF Bastos-Filho

...

2024/4/16

Filtering for Removal of Artifacts

Rangaraj M Rangayyan

2015

Biomedical signal analysis

Rangaraj M Rangayyan

Sridhar Krishnan

2024/2/19

Analysis of Concurrent, Coupled, and Correlated Processes

Rangaraj M Rangayyan

Sridhar Krishnan

2024

Multi-level stress assessment from ecg in a virtual reality environment using multimodal fusion

IEEE Sensors Journal

Zeeshan Ahmad

Suha Rabbani

Muhammad Rehman Zafar

Syem Ishaque

Sri Krishnan

...

2023/10/16

SARdBScene: Dataset and Resnet Baseline for Audio Scene Source Counting and Analysis

Michael Nigro

Sridhar Krishnan

2023/6/4

Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic

Computer Methods and Programs in Biomedicine

Binh Nguyen

Andrei Torres

Caroline W Espinola

Walter Sim

Deborah Kenny

...

2023/10/1

Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data

Binh Nguyen

Michael Nigro

Alice Rueda

Venkat Bhat

Sri Krishnan

2023/6/4

System and method for saliency detection in long-term ecg monitoring

2023/9/7

Análisis de sentimiento de los datos de twitter de COVID-19 utilizando modelos de aprendizaje profundo y aprendizaje máquina

Ingenius. Revista de Ciencia y Tecnología

Simran Darad

Sridhar Krishnan

2023/6

See List of Professors in Sridhar (Sri) Krishnan University(Ryerson University)