Mukesh Prasad

Senior Lecturer

University of Sydney

Australia

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About

Dr. Mukesh Prasad is a Senior Lecturer at the University of Technology Sydney, Australia. His research areas encompass machine learning applications in medical diagnostics, remote sensing segmentation, and human emotion recognition through brain-computer interfaces. Recent articles authored by Dr. Prasad explore innovative methods for separating stroke from vestibular neuritis, enhancing robot vision, and improving load balancing in fog computing environments.

Articles (20)

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2025

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2023

Collaborators (10)

Sudhanshu Joshi

University of Sydney

AUSTRALIA

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Mohsen Naderpour

University of Sydney

AUSTRALIA

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Tony Jan

Torrens University Australia

AUSTRALIA

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Neda Azizi

Torrens University Australia

AUSTRALIA

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Linh Nguyen

Senior Lecturer

Federation University Australia

AUSTRALIA

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Ali Braytee

University of Sydney

AUSTRALIA

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Gnanabarathy Kumaraparathy Bharathy

University of Sydney

AUSTRALIA

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Sarath Kodagoda

University of Sydney

AUSTRALIA

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Jun Li

University of Technology, Sydney

AUSTRALIA

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Md Whaiduzzaman

Queensland University of Technology

AUSTRALIA

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Mukesh Prasad

Research Interests

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About

Articles (20)

Separating Stroke and Vestibular Neuritis Using History, Examination and Vestibular Tests: A Machine Learning Approach (S25.009)

Separation of Stroke from Vestibular Neuritis using the Video Head Impulse Test: Machine Learning Models versus Expert Clinicians (S2.006)

CLR-DLR: A Semi-Supervised Framework for High-Fidelity Remote Sensing Segmentation

Dynamic Appearance Particle Neural Radiance Field

EEG Signal Based Human Emotion Recognition Brain-computer Interface using Deep Learning and High-Performance Computing

LScAD: A Large–Small Model Collaboration Framework for Unsupervised Industrial Anomaly Detection

STARS—Deep Diversified Analysis of Occlusion-Resiliency for Robot Vision in Medical Contexts

HybOff: a Hybrid Offloading approach to improve load balancing in fog environments

A Deep Dive into Robot Vision - An Integrative Systematic Literature Review Methodologies and Research Endeavor Practices

Normal Transformer: Extracting Surface Geometry From LiDAR Points Enhanced by Visual Semantics

A Comprehensive Review on E-Waste Management Strategies and Prediction Methods: A Saudi Arabia Perspective

SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation.

Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT)

Review of Soft Computing Techniques in Monitoring Cardiovascular Disease in the Context of South Asian Countries

Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI

Explainable hybrid word representations for sentiment analysis of financial news.

Anti-Counterfeiting and Traceability Consensus Algorithm Based on Weightage to Contributors in a Food Supply Chain of Industry 4.0

A comparative study of different machine learning models for landslide susceptibility prediction: a case study of Kullu-to-Rohtang pass transport corridor, India

Landslide Susceptibility Prediction based on Decision Tree and Feature Selection Methods

Efficient Future Waste Management: A Learning-Based Approach with Deep Neural Networks for Smart System (LADS)

Collaborators (10)

Sudhanshu Joshi

Mohsen Naderpour

Tony Jan

Neda Azizi

Linh Nguyen

Ali Braytee

Gnanabarathy Kumaraparathy Bharathy

Sarath Kodagoda

Jun Li

Md Whaiduzzaman

Make your next move.