2026 Sridha Sridharan: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	73	1610	1563	45	45	693	18768

Research.com Recognitions

2025 - Research.com Computer Science in Australia Leader Award
2023 - Research.com Computer Science in Australia Leader Award
2022 - Research.com Computer Science in Australia Leader Award

Overview

Sridha Sridharan is affiliated with the Queensland University of Technology in Australia and specializes primarily in the field of Computer Science. Their publication record includes a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Cognitive Neuroscience, and Signal Processing.

The scientist's research topics center on areas including Video Surveillance and Tracking Methods, Advanced Neural Network Applications, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, Face Recognition and Analysis, and Robotics and Sensor-Based Localization.

Recent papers illustrate a focus on biomedical and healthcare applications involving deep learning and EEG signal analysis. Notable works include:

Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals, 2021, IEEE Sensors Journal
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals, 2021, IEEE Journal of Biomedical and Health Informatics
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation, 2020, IEEE Journal of Biomedical and Health Informatics
Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses, 2020, IEEE Journal of Biomedical and Health Informatics
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition, 2022, 2022 International Conference on Robotics and Automation (ICRA)

Sridharan collaborates frequently with researchers such as Clinton Fookes, Simon Denman, Tharindu Fernando, Peyman Moghadam, and Kien Nguyen. These coauthors appear consistently across their extensive body of work.

Their publications have appeared in venues with a strong emphasis on both open-access and peer-reviewed platforms. The most frequent venues are:

arXiv (Cornell University)
Pattern Recognition
Computer Vision and Image Understanding
IEEE Sensors Journal
IEEE Journal of Biomedical and Health Informatics

The research spans many interdisciplinary applications, combining advanced machine learning techniques with practical implementations in medical diagnosis, robotics, and cognitive science. Their work on deep learning applied to EEG signals and biomedical data reflects an interest in health informatics and neural data interpretation.

Overall, Sridha Sridharan contributes to a wide range of subjects within computer science, with a notable focus on neural networks, vision-related pattern recognition, and sensor-data-driven approaches.

Best Publications

Feature Warping for Robust Speaker Verification

Jason W. Pelecanos;Sridha Sridharan

931
Citations
Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection.

Tharindu Fernando;Simon Denman;Sridha Sridharan;Clinton Fookes

389
Citations
Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

Kien Nguyen;Clinton Fookes;Arun Ross;Sridha Sridharan

375
Citations
Crowd Counting Using Multiple Local Features

David Ryan;Simon Denman;Clinton Fookes;Sridha Sridharan

367
Citations
Automatically Detecting Pain in Video Through Facial Action Units

P Lucey;J F Cohn;I Matthews;S Lucey

333
Citations
Texture for script identification

A. Busch;W.W. Boles;S. Sridharan

248
Citations
Deep Learning for Medical Anomaly Detection – A Survey

Tharindu Fernando;Harshala Gammulle;Simon Denman;Sridha Sridharan

245
Citations
i-vector based speaker recognition on short utterances

Ahilan Kanagasundaram;Robbie Vogt;David Dean;Sridha Sridharan

227
Citations
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition

Harshala Gammulle;Simon Denman;Sridha Sridharan;Clinton Fookes

209
Citations
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data

Alina Bialkowski;Patrick Lucey;Peter Carr;Yisong Yue

205
Citations
The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms.

David B. Dean;Sridha Sridharan;Robert J. Vogt;Michael W. Mason

198
Citations
Explicit modelling of session variability for speaker verification

Robbie Vogt;Sridha Sridharan

189
Citations
Long range iris recognition

Kien Nguyen;Clinton Fookes;Raghavender Jillela;Sridha Sridharan

188
Citations
Gait energy volumes and frontal gait recognition using depth images

Sabesan Sivapalan;Daniel Chen;Simon Denman;Sridha Sridharan

182
Citations
A Mask-Based Approach for the Geometric Calibration of Thermal-Infrared Cameras

S. Vidas;R. Lakemond;S. Denman;C. Fookes

180
Citations
A Database for Person Re-Identification in Multi-Camera Surveillance Networks

Alina Bialkowski;Simon Denman;Sridha Sridharan;Clinton Fookes

179
Citations
An evaluation of crowd counting methods, features and regression models

David Ryan;Simon Denman;Sridha Sridharan;Clinton Fookes

168
Citations
Real-time adaptive background segmentation

D. Butler;S. Sridharan;V.M.Jr. Bove

168
Citations
Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals

Theekshana Dissanayake;Tharindu Fernando;Simon Denman;Sridha Sridharan

162
Citations
Heart Sound Segmentation Using Bidirectional LSTMs With Attention

Tharindu Fernando;Houman Ghaemmaghami;Simon Denman;Sridha Sridharan

157
Citations
Person-independent facial expression detection using Constrained Local Models

Sien. W. Chew;Patrick Lucey;Simon Lucey;Jason Saragih

152
Citations
Face authentication test on the BANCA database

K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

151
Citations

Frequent Co-Authors

Clinton Fookes Queensland University of Technology

Simon Denman Queensland University of Technology

Vinod Chandran Queensland University of Technology

Patrick Lucey Stats Perform

Simon Lucey University of Adelaide

Iain A. McCowan Queensland University of Technology

Ed Dawson Queensland University of Technology

Jeffrey F. Cohn University of Pittsburgh

Iain Matthews University of East Anglia

Yisong Yue California Institute of Technology

External Links

Personal website of Sridha Sridharan Google Scholar page

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