Imran Razzak

Senior Lecturer in Human-Centered Machine Learning

UNSW Sydney

Australia

Research Interests

Explore related searches

Professors in Australia Professors in Medical Imaging Medical Imaging professors in Australia

Contact this professor

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

About

Imran Razzak is a Senior Lecturer in Human-Centered Machine Learning at UNSW Sydney. His research focuses on machine learning applications in healthcare and IoT, with recent publications addressing challenges in data processing and classification, as well as advanced methodologies in image segmentation and explainability in NLP. He has contributed to various guest editorials highlighting the intersection of machine learning and computational biology.

Articles (20)

Year:

2025

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:

2023

Year:

2023

Year:

2023

Collaborators (17)

Guandong Xu

Professor

University of Sydney

AUSTRALIA

Imran Razzak

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

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

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

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

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

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

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

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

Review on enhancing clinical decision support system using machine learning

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

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

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

Distributed Optimization of Graph Convolutional Network Using Subgraph Variance

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

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

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

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

Guest Editorial Open and Interpretable AI in Computational Pathology

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

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

IoT-Enabled Multimodal Biometric Recognition System in Secure Environment

Collaborators (17)

Guandong Xu

Francesco Schiliro'

Wei Luo

Susann Beier

Muhammad Cheema

Dr. Md Rafiqul Islam

shuihua Wang

Jianxin Li

David Ormrod

Fahmi Khalifa

Mohamed Reda Bouadjenek

Moona Mazher

Amin Beheshti

Ibrahim A. Hameed

Andreas Dengel

Arian Prabowo

Jill Slay

Make your next move.