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Sridha Sridharan

Professor

Queensland University of Technology

Australia

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Research Interests

Computational Neuroscience

40%

Systems Neuroscience

30%

Computer Vision

60%

Eeg

30%

Biosignal Processing

30%

Hyperspectral Imaging

30%

Deep Learning

30%

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Articles23

Few-Shot Learning for Medical Image Segmentation: A Review and Comparative Study

Article Link

Year:

2026

Enhancing predictive performance on long-tail trajectories via clustering and specialized decoders

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Year:

2026

Remembering What is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction

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Year:

2025

Decoupled and Explainable Associative Memory for Effective Knowledge Propagation

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Year:

2025

GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors

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Year:

2024

AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-Identification

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Year:

2024

FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining

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Year:

2024

Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works

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Year:

2024

Physical Adversarial Attacks for Surveillance: A Survey

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Year:

2024

Physics Augmented Tuple Transformer for Autism Severity-Level Detection

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Year:

2024

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer

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Year:

2023

Complex-Valued Iris Recognition Network

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Year:

2023

DConv-LSTM-Net: A Novel Architecture for Single and 12-Lead ECG Anomaly Detection.

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Year:

2023

Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization

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Year:

2023

Toward On-Board Panoptic Segmentation of Multispectral Satellite Images

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Year:

2023

Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization

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Year:

2023

Deep cross-domain transfer for emotion recognition via joint learning

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Year:

2023

Meta-transfer learning for emotion recognition

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Year:

2023

Pose-driven Attention-guided Image Generation for Person Re-Identification

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Year:

2022

Deep Learning for Medical Anomaly Detection – A Survey

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Year:

2022

Learning test-time augmentation for content-based image retrieval

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Year:

2022

Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion

Article Link

Year:

2022

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings

Article Link

Year:

2022

Collaborators9

Zongyuan Ge

Associate Professor

MONASH UNIVERSITY

AUSTRALIA

Osman Tursun

Queensland University of Technology

AUSTRALIA

Harshala Gammulle

Queensland University of Technology

AUSTRALIA

Peyman Moghadam

Queensland University of Technology

AUSTRALIA

Mohamed Abdelrazek

Research Professor

Deakin University

AUSTRALIA

Arun Ross

Michigan State University

UNITED STATES

Kien Nguyen Thanh

Queensland University of Technology

AUSTRALIA

Clinton Fookes

Professor

Queensland University of Technology

AUSTRALIA

Maryam Haghighat

Queensland University of Technology

AUSTRALIA

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