Faculty profile

Sridhar Krishnan

ResearcherElectrical, Computer and Biomedical EngineeringToronto Metropolitan University

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Toronto Metropolitan University directory, so their courses may be missing. Find their university profile.

Sridhar Krishnan

Researcher

Electrical, Computer and Biomedical Engineering

Engineering

Toronto Metropolitan University

Toronto, Ontario, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
28 publications in the last five years, latest in 2026.
Senior (last) author on 7 recent papers, a sign of leading a research group.
Principal investigator on 20 research grants (19 NSERC, 1 CIHR), most recently in 2024.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Citations

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

compressive sensing dictionary learning ECG signal processing EEG signal processing EMG signal processing feature extraction low-power medical devices sleep signal processing

Latest papers

Digital Health Monitoring and Intervention Suite for Stress in Frontline Nurses: Prospective Cohort Trial
JMIR Formative Research · 2026
EEG-AI: An agentic system for AI-assisted semi-automated EEG preprocessing and artifact removal
Journal of Neuroscience Methods · 2026
Working under pressure: How virtual reality and psychoeducation shape stress and moral distress responses in nurses
Digital Health · 2026

All 74 publications

Latest funding

Product design and technology transfer of a novel embedded AI-based real-time heart rate detector
NSERC · 2024 · Principal investigator
$125,000
Design of Low-power Wearable Sensors and Signal Analysis
NSERC · 2023 · Principal investigator
$25,000
Implementing Digital Interventions for Equitable/Optimal Mental Health: Outcome and Process Evaluation
SSHRC · 2022 · Co-investigator
$249,843

All 28 grants and awards

74 publications.

Digital Health Monitoring and Intervention Suite for Stress in Frontline Nurses: Prospective Cohort Trial

Rueda A, Martin J, Parkington K, Perivolaris A, Teferra BG, Lee GH, Tassone VK, Lin Q, Ivanov M, Darnell B

JMIR Formative Research20261 citations

DOI: 10.2196/77818

EEG-AI: An agentic system for AI-assisted semi-automated EEG preprocessing and artifact removal

Abdou A, Ivanov M, Shaya S, Rueda A, Nezhad FG, Demchenko I, Kamaleddin MA, Frewen PA, Dunkley BT, Brady B

Journal of Neuroscience Methods20261 citations

DOI: 10.1016/j.jneumeth.2026.110759

Working under pressure: How virtual reality and psychoeducation shape stress and moral distress responses in nurses

Parkington K, Rouleau-Tang M, Bhat A, Martin J, Rueda A, Teferra BG, Liu Y, Ivanov M, Darnell BC, Beavers L

Digital Health2026

DOI: 10.1177/20552076261484009

Wearable-Based Assessment for Relapse Prediction Following Repetitive Transcranial Magnetic Stimulation for Depression: Protocol for a Feasibility Study (WARN-D Study) (Preprint)

Wanderley Espinola C, Dine C, Rekkas Z, Frey BN, Krishnan S, Duarte D, Gomes FA, Mak MSB

JMIR Research Protocols2026

DOI: 10.2196/89466

Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study.

Rueda A, Al-Shamali HF, Cote Z, Roy N, Janssen-Aguilar R, Joseph J, Teferra BG, Kamaleddin MA, Burback L, Winkler O, Kapralos B, Torres A, Sharma D, Krishnan S, Dumas G, Greenshaw A, Hudon A, Sockalingam S, Zhang Y, Dubrowski A, Bhat V

JMIR medical education2026

DOI: 10.2196/88580 PMID: 42479623

A comprehensive electrooculography measurement system and protocols for screening myasthenia gravis.

Le TL, Boulos MI, Yang D, Berger S, Irannejad M, Figueroa CM, Thorpe KE, Murray B, Krishnan S, Sundaram ANE, Katzberg H, Umapathy K

MethodsX2026

DOI: 10.1016/j.mex.2026.103810 PMID: 41737895

A framework for generative AI-driven extraction of clinical user needs in pediatric device development.

Abdou A, Mistry N, Campbell DM, Krishnan S

Frontiers in digital health2026Senior author

DOI: 10.3389/fdgth.2026.1726098 PMID: 42058727

A Wrist System for Daily Stress Monitoring Using Mid-Level Physiological Fusion and Late Fusion with Survey-Based Labels.

Simic M, Yammanuru SR, Saguiafin G, Velvelicham J, Krishnan S

Sensors (Basel, Switzerland)2025Senior author

DOI: 10.3390/s25216592 PMID: 41228813

A portable dry-electrode ECG device for rapid and accurate neonatal heart rate monitoring during resuscitation.

Abdou A, Mistry N, Krishnan S

Scientific reports2025Senior author

DOI: 10.1038/s41598-025-27045-2 PMID: 41326449

Human applications of transcranial temporal interference stimulation: A systematic review.

Demchenko I, Tailor I, Chegini S, Yu H, Gholamali Nezhad F, Rueda A, Kever A, Krishnan S, Datta A, Meltzer JA, Graham SJ, Schweizer TA, Rampersad S, Boyden ES, Violante IR, Chen R, Lozano AM, Bhat V

Brain stimulation2025

DOI: 10.1016/j.brs.2025.10.023 PMID: 41167554

Product design and technology transfer of a novel embedded AI-based real-time heart rate detector

Principal investigatorNSERC2024Idea to Innovation

Principal investigators: Krishnan, Sridhar S

Keywords: filtering; newborn heart rate; product design; resuscitation; sensing; signal analysis; tech readiness

$125,000

Design of Low-power Wearable Sensors and Signal Analysis

Principal investigatorNSERC2023Alliance Grants

Principal investigators: Krishnan, Sridhar S

Keywords: adaptive filters; feature analysis; low power; machine learning; signal processing; wearable sensors

$25,000

Implementing Digital Interventions for Equitable/Optimal Mental Health: Outcome and Process Evaluation

Co-investigatorSSHRC2022New Frontiers in Research Fund - Special Calls

Principal investigators: Bhat, Venkat

Keywords: Digital Interventions; e-health; mental health; outcome and process evaluation; implementation science; equitable care; resilience and social cohesion; engagement and trust; responsive, adaptive and accessible mental health care; measurement-based care

$249,843

Optimizing Patient-Physician Engagement in Virtual Care- Development of The Automated Engagement Score Card (AES)

Co-investigatorSSHRC2021New Frontiers in Research Fund - Special Call

Principal investigators: Bhat, Venkat

Keywords: Virtual care Physician-patient engagement Automated engagement scorecard Depression Machine learning Biostatistics Clinical trials Optimizing clinical care outcomes Multi-modal data

$237,970

Deciphering Metacognition and Treatment Response in Depression With a Novel Digital Paradigm

Co-investigatorSSHRC2020New Frontiers in Research Fund - Exploration

Principal investigators: Bhat, Venkat

Keywords: Antidepressant Response Ketamine Digital Simulation Computational Modelling Metacogntion Digital phenotyping Digital Signal Analysis Mental Health Disability

$250,000

Biomedical Signal Sensing and Analysis

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Krishnan, Sridhar

Keywords: compressive sensing; sparse approximation; feature extraction; ecg signal processing; eeg signal processing; emg signal processing; sleep signal processing; dictionary learning; wearables; low-power medical devices

$234,000

Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals

Co-investigatorCIHR2019Project Grant

Principal investigators: Umapathy, Karthikeyan; Boulos, Mark I; Katzberg, Hans

Keywords: Electrooculography Signals; Eye Movements; Feature Extraction; Myasthenia Gravis; Pattern Classification; Signal Processing; Time-Frequency/ Time-Scale Techniques

$474,299

A cloud-based Machine Learning Framework for Assessment of Stress/Engagement through Multimodal Sensors

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Khan, Naimul

$302,304

Robust electronic scoring analysis system for recreational and professional taekwondo sports

Principal investigatorNSERC2016Collaborative Research and Development Grants

Principal investigators: Krishnan, Sridhar

$240,000

Non-stationary Signal Feature Extraction and Analysis

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Krishnan, Sridhar

$185,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Sridhar Krishnan

Research

Latest papers

Latest funding

Digital Health Monitoring and Intervention Suite for Stress in Frontline Nurses: Prospective Cohort Trial

EEG-AI: An agentic system for AI-assisted semi-automated EEG preprocessing and artifact removal

Working under pressure: How virtual reality and psychoeducation shape stress and moral distress responses in nurses

Wearable-Based Assessment for Relapse Prediction Following Repetitive Transcranial Magnetic Stimulation for Depression: Protocol for a Feasibility Study (WARN-D Study) (Preprint)

Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study.

A comprehensive electrooculography measurement system and protocols for screening myasthenia gravis.

A framework for generative AI-driven extraction of clinical user needs in pediatric device development.

A Wrist System for Daily Stress Monitoring Using Mid-Level Physiological Fusion and Late Fusion with Survey-Based Labels.

A portable dry-electrode ECG device for rapid and accurate neonatal heart rate monitoring during resuscitation.

Human applications of transcranial temporal interference stimulation: A systematic review.

Product design and technology transfer of a novel embedded AI-based real-time heart rate detector

Design of Low-power Wearable Sensors and Signal Analysis

Implementing Digital Interventions for Equitable/Optimal Mental Health: Outcome and Process Evaluation

Optimizing Patient-Physician Engagement in Virtual Care- Development of The Automated Engagement Score Card (AES)

Deciphering Metacognition and Treatment Response in Depression With a Novel Digital Paradigm

Biomedical Signal Sensing and Analysis

Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals

A cloud-based Machine Learning Framework for Assessment of Stress/Engagement through Multimodal Sensors

Robust electronic scoring analysis system for recreational and professional taekwondo sports

Non-stationary Signal Feature Extraction and Analysis

Frequent collaborators

Venkat Bhat

Karthikeyan Umapathy

Wendy Lou

Adam Dubrowski

Kumaraswamy Nanthakumar

Hans Katzberg

Gillian Strudwick

Elizabeth Peter

Anthony Nazarov

Robert Chen

April Khademi

Divya Sharma

Yanbo Zhang

Benicio Frey

Naimul Khan

Reza Samavi

Fabiano Alves Gomes

Andrew Nicholson

Dante Duarte

Michael Mak