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Dr Samaneh (Sam) Madanian

Associate Professor

University of Auckland

New Zealand

Research Interests

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About

Dr. Samaneh (Sam) Madanian is a Senior Lecturer at Auckland University of Technology, New Zealand. Her research interests encompass advanced detection and management systems in healthcare, including noninvasive approaches for oral disease diagnostics and AI-driven solutions for mental health monitoring. Dr. Madanian also explores the intersection of technology and public health, focusing on health equity and the application of machine learning in predicting healthcare challenges.

Articles (29)

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Collaborators (21)

Maduka Subasinghage

Senior Lecturer

University of Western Australia

AUSTRALIA

Dr Samaneh (Sam) Madanian

Research Interests

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About

Articles (29)

Enhancing Early Oral Disease Detection Through Custom Multispectral Light-Emitting Diode Imaging: A Noninvasive Digital Approach for Remote Dental Diagnostics

IMPACT: Integrated Model For Patient Acuity, Care, And Triage Efficiency In Emergency Department

Bias in developing AI medical diagnosis: Impact of sequential CT scan slices on data leakage in lung cancer

A Multimodal AI–IoT Framework for Monitoring Student Well-Being in Hybrid and Transnational Learning Environments

Digital transformation in the public sector: a systematic mapping study from an agile perspective

Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders

Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

A Gamified AI-Driven System for Depression Monitoring and Management

Enhancing Emotional Well-Being With IoT Data Solutions for Depression: A Systematic Review

Enhanced forecasting model for pandemic: hyperparameter optimisation using Q-learning integration

IoTMindCare: An Integrative Reference Architecture for Safe and Personalized IoT-Based Depression Management

Integrating Smart Health Solutions in Disaster Preparedness Strategies

Digital Transformation of Medication Identification: Technological Evolution

Text Analysis for Depression Detection: Mental Health Digital Transformation

Technological advancements in humanitarian aid

Comparison of Machine Learning Models for Predicting Interstitial Glucose Using Smart Watch and Food Log

A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities and Prospects

Health IoT Threats: Survey of Risks and Vulnerabilities

Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

Review of Time Domain Electronic Medical Record Taxonomies in the Application of Machine Learning

Speech emotion recognition using machine learning — A systematic review

Battery Energy Storage Capacity Estimation for Microgrids Using Digital Twin Concept

Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations

A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler

A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification

Applications of Digital Twins in Power Systems: A Perspective

Machine learning methods for hospital readmission prediction: systematic analysis of literature

Identifying the Potential of RFID in Disaster Healthcare: An International Delphi Study

Contact-tracing applications: a review of technologies

Collaborators (21)

Maduka Subasinghage

Hossein Baharmand

Jian Yu

Hamidreza Rasoulipanah

Sandra Schneider

Christian Poellabauer

Ajit Narayanan

Kosala Gunawardane

Catherine Crofts

Imran Khan Niazi

Roopak Sinha

Farkhondeh Hassandoust

Sarah Marshall

Minh Nguyen

Mahdi Bashiri

John Michael Templeton

Tek Tjing Lie

David White

Okeke Stephen

Nisitha Padmawansa

Hossein Zarei

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