Disaster E-Health: A New Paradigm for Collaborative Healthcare in Disasters. - Anthony C. Norris; Santiago Martinez; Leire Labaka; Samaneh Madanian; Jose J. Gonzalez; Dave Parry (ISCRAM, 2015)

Healthcare in Disasters and the Role of RFID. - Samaneh Madanian; David Parry 001; Tony Norris (MedInfo, 2015)

Disaster EHealth-Sustainability in the Extreme. - David Parry 001; Samaneh Madanian; Tony Norris (DASC/PiCom/DataCom/CyberSciTech, 2016)

Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model. - David Airehrour; Nisha Vasudevan Nair; Samaneh Madanian (Inf., 2018)

Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials. - Marianne Cherrington; David Airehrour; Joan Lu; Qiang Xu 002; Stephen J. Wade; Samaneh Madanian (BDCAT, 2019)

Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials. - Marianne Cherrington; Joan Lu; David Airehrour; Fadi A. Thabtah; Qiang Xu 002; Samaneh Madanian (ITNAC, 2019)

IoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disasters. - Samaneh Madanian; Dave Parry (MedInfo, 2019)

Prediction of Natural Gas Consumption in Bahçeşehir Using Machine Learning Models. - Suhaib Ahmed; Samaneh Madanian; Farhaan Mirza; Selim Zain (ACIS, 2020)

Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions. - Kenneth Johnson; Samaneh Madanian; Roopak Sinha (SEAA, 2020)

Towards Self-Adaptive Disaster Management Systems. - Kenneth Johnson; Javier Cámara 001; Roopak Sinha; Samaneh Madanian; Dave Parry (ISCRAM, 2021)

Critical Success Factors of Agile ERP Development and Implementation Projects: A Systematic Literature Review. - Samaneh Madanian; Maduka Subasinghage; Shingai Conrad Tachiona (PACIS, 2021)

An Intrinsic Human Physical Activity Recognition from Fused Motion Sensor Data using Bidirectional Gated Recurrent Neural Network in Healthcare. - Okeke Stephen; Samaneh Madanian; Minh Nguyen 001 (ICSBT, 2022)

Automatic Speech Emotion Recognition Using Machine Learning: Digital Transformation of Mental Health. - Samaneh Madanian; David Parry 001; Olayinka Adeleye; Christian Poellabauer; Farhaan Mirza; Shilpa Mathew; Sandy Schneider (PACIS, 2022)

Machine learning methods for hospital readmission prediction: systematic analysis of literature. - Talen Chen; Samaneh Madanian; David Airehrour; Marianne Cherrington (J. Reliab. Intell. Environ., 2022)

A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification. - Okeke Stephen; Samaneh Madanian; Minh Nguyen 001 (Sensors, 2022)

A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler. - Okeke Stephen; Samaneh Madanian; Minh Nguyen 001 (Sensors, 2022)

Integration of AI and Big Data Analysis with Public Health Systems for Infectious Disease Outbreak Detection. - Hamidreza Rasoulipanah; Samaneh Madanian; Jian Yu 002 (ACIS, 2023)

Design Concept of a Mental Health Monitoring Application with Explainable Assessments. - Upeka De Silva; Samaneh Madanian; John Michael Templeton; Christian Poellabauer; Sandy Schneider; Ajit Narayanan (ACIS, 2023)

Stress Detection on Social Network: Public Mental Health Surveillance: Public mental health surveillance. - Samaneh Madanian; Hamidreza Rasoulipanah; Jian Yu 002 (ACSW, 2023)

Motif-based Graph Attention Network for Web Service Recommendation. - Yuqi Zhang; Jian Yu 002; Ji Ruan; Nancy Wang; Sam Madanian; Guiling Wang 002 (ACSW, 2023)

Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches. - Li Xiao; Samaneh Madanian; Weihua Li; Yuchun Xiao (AusDM, 2023)

Public Health Emergencies: Health Data and Public Health Surveillance. - Mohammad Nazayer; Samaneh Madanian; Hamidreza Rasoulipanah; Dave Parry (ICDH, 2023)

A Novel Proof of Concept Forecasting Model for Pandemics - A Case Study in New Zealand. - Hamidreza Rasouli Panah; Abtin Ijadi Maghsoodi; Samaneh Madanian; Jian Yu 002; Kenneth Johnson (ITDRR, 2023)

Pandemic Management: Health Data and Public Health Surveillance. - Mohammad Nazayer; Samaneh Madanian; Hamidreza Rasoulipanah; Dave Parry (MedInfo, 2023)

Mental Health Monitoring: Design Concept of a Smartphone Application. - Upeka De Silva; Sam Madanian; John Michael Templeton; Christian Poellabauer; Sandra L. Schneider; Dave Parry (MedInfo, 2023)

Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations. - Soe Ye Yint Tun; Samaneh Madanian (J. Am. Medical Informatics Assoc., 2023)

Speech emotion recognition using machine learning - A systematic review. - Samaneh Madanian; Talen Chen; Olayinka Adeleye; John Michael Templeton; Christian Poellabauer; Dave Parry; Sandra L. Schneider (Intell. Syst. Appl., 2023)

Emotion Variation Detection in Discrete English Speech: A Wavelet Transform Use Case in Mental Health Monitoring. - Adebanji Adeleye; Samaneh Madanian; Olayinka Adeleye (ACSW, 2024)

Detecting Brain activity in ADHD children and healthy controls using Machine Learning Techniques. - Priyadarshini Natarajan; Samaneh Madanian (ACSW, 2024)

Exploring Deep Learning and Grad-CAM for Speech-Based Detection of Mild Traumatic Brain Injury. - Fredy Rojas; Samaneh Madanian; John Michael Templeton; Christian Poellabauer; Sandra L. Schneider (IEEE Big Data, 2024)

Patterns of Applied Control for Public Health Measures on Transportation Services under Epidemic. - Kenneth Johnson; Samaneh Madanian; Catia Trubiani (SEAMS@ICSE, 2024)

Health IoT Threats: Survey of Risks and Vulnerabilities. - Samaneh Madanian; Tserendorj Chinbat; Maduka Subasinghage; David Airehrour; Farkhondeh Hassandoust; Sira Yongchareon (Future Internet, 2024)

Machine learning cryptography methods for IoT in healthcare. - Tserendorj Chinbat; Samaneh Madanian; David Airehrour; Farkhondeh Hassandoust (BMC Medical Informatics Decis. Mak., 2024)

Enhancing Emotional Well-Being With IoT Data Solutions for Depression: A Systematic Review. - Sanaz Zamani; Roopak Sinha; Minh Nguyen 001; Samaneh Madanian (IEEE J. Biomed. Health Informatics, 2025)