Sreeraman Rajan

Tier 2 Canada Research Chair, Associate Professor

Carleton University

Canada

Research Interests

Explore related searches

Professors in Canada Professors in Medical Imaging Medical Imaging professors in Canada

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Sreeraman Rajan is a Tier 2 Canada Research Chair and Associate Professor at Carleton University. His research areas include machine learning applications in health monitoring, signal processing for wearable technology, and advanced methods for environmental risk assessment. Recent publications reflect his work on classifying postural behaviors, ego-motion estimation with radar technology, and ECG heartbeat classification using compressed sensing techniques.

Articles (26)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (6)

Carlos Rossa

Associate professor

Carleton University

CANADA

View details

Marzieh Amini

Assistant Professor

Carleton University

CANADA

View details

Luca De Vito

Associate Professor

University of Sannio

ITALY

View details

James Green

Professor

Carleton University

CANADA

View details

Bruno Ando

University of Catania

ITALY

View details

Salvatore Baglio

Full Professor - Instrumentation & Measurement

University of Catania

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Sreeraman Rajan

Research Interests

Explore related searches

Contact this professor

About

Articles (26)

Indoor Temporally Constrained Instantaneous Ego-Motion Estimation Using 4-D Doppler Radar

Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors

The 3rd Workshop on Quantum in Consumer Technology at IEEE Quantum Week 2024

Noise-Type Radars With Gaussian Statistics: SNR and the Correlation Coefficient

Phonocardiogram Classification Using Dynamic Mode Decomposition for Heterogeneity-Resilient Training

Tracking Muscle Stiffness During Gripping With Wearable Ultrasound Shear-Wave Elastometry

Automatic Classification of Anomalous ECG Heartbeats from Samples Acquired by Compressed Sensing

Identifying Areas of High-Risk Vegetation Encroachment on Electrical Powerlines Using Mobile and Airborne Laser Scanned Point Clouds

Postural Sway Classification Using Triaxial Accelerometer Signals

Quantitative Analysis of Mother Wavelet Function Selection for Wearable Sensors-Based Human Activity Recognition

Adaptive Hierarchical Classification for Human Activity Recognition Using Inertial Measurement Unit (IMU) Time-Series Data

Improved Vessel Detection via Quadratic Matched Filtering and Target Parameter Estimation for Dual and Compact Polarimetric SAR

Metric-Based Frame Selection and Deep Learning Model With Multi-Head Self Attention for Classification of Ultrasound Lung Video Images

Radar-Based Human Activity Recognition Using Multidomain Multilevel Fused Patch-Based Learning

Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks

Quantum Radar: Challenges and Outlook: An Overview of the State of the Art

One-Class Classification for Radar-Based Human Fall Event Detection

Spectral reflectance estimation from non‐raw color images with nonlinearity correction

A Neuro-Fuzzy Based Sensing Approach for the Classification of Emulated Postural Instability

Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions

Hue-Preserved Quantile-Based Global Contrast Enhancement of Breast Thermograms for Abnormality Detection

Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds

Radar-Based Fall Event Detection Using Histogram of Oriented Gradients of Binary-Encoded Radar Signatures

Signal Quality Assessment of Compressively Sensed Electrocardiogram

A Likelihood Ratio Detector for QTMS Radar and Noise Radar

Performance Prediction for Coherent Noise Radars Using the Correlation Coefficient

Collaborators (6)

Carlos Rossa

Marzieh Amini

Luca De Vito

James Green

Bruno Ando

Salvatore Baglio

Make your next move.