Imran Razzak

Senior Lecturer in Human-Centered Machine Learning

UNSW Sydney

Australia

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Research Interests

Computational Linguistics

30%

Internet Of Things

30%

Industrial Iot

20%

Deep Learning

20%

Natural Language Processing

20%

Human Identification

20%

Major Depressive Disorder

20%

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Articles20

A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings

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Year:

2025

Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP

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Year:

2024

Guest Editorial of the Special Issue: Economic Policy Uncertainty and the Energy Stock Market

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Year:

2024

Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation

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Year:

2024

A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs

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Year:

2024

Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges

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Year:

2024

Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework

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Year:

2024

Review on enhancing clinical decision support system using machine learning

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2024

Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality

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Year:

2024

Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey

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Year:

2023

DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks

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2023

Distributed Optimization of Graph Convolutional Network Using Subgraph Variance

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2023

DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing

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Year:

2023

Support Matrix Machine via Joint $\ell_{2,1}$ and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data

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Year:

2023

High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis

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2023

Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification

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Year:

2023

Guest Editorial Open and Interpretable AI in Computational Pathology

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Year:

2023

Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT

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Year:

2023

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic

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Year:

2023

IoT-Enabled Multimodal Biometric Recognition System in Secure Environment

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Year:

2023

Collaborators17

Guandong Xu

Professor

University of Sydney

AUSTRALIA

Francesco Schiliro'

Lecturer

University of New South Wales

AUSTRALIA

Wei Luo

Deakin University

AUSTRALIA

Susann Beier

Senior Lecturer

University of New South Wales

AUSTRALIA

Muhammad Cheema

Associate Professor

MONASH UNIVERSITY

AUSTRALIA

Dr. Md Rafiqul Islam

Senior Lecturer in Information Systems

AUSTRALIA

shuihua Wang

University of Leicester

UNITED KINGDOM

Jianxin Li

Associate Professor

Deakin University

AUSTRALIA

David Ormrod

University of South Australia

AUSTRALIA

Fahmi Khalifa

Assistant Professor

Morgan State University

UNITED STATES

Mohamed Reda Bouadjenek

Lecturer (Assistant Professor)

Deakin University

AUSTRALIA

Moona Mazher

Universitat Rovira i Virgili

SPAIN

Amin Beheshti

Macquarie University

AUSTRALIA

Ibrahim A. Hameed

Professor

Norwegian University of Science and Technology

NORWAY

Andreas Dengel

GERMANY

Arian Prabowo

UNSW Sydney

AUSTRALIA

Jill Slay

University of South Australia

AUSTRALIA

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