Samaneh Madanian

Samaneh Madanian
Auckland University of Technology | AUT · Department of computer Science and Software Engineering

PhD

About

91
Publications
35,584
Reads
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872
Citations
Additional affiliations
June 2020 - October 2021
New Zealand IoT Alliance
Position
  • New Zealand Education Representative
Description
  • https://iotalliance.org.nz/about/our-team/
June 2018 - October 2020
Auckland University of Technology
Position
  • Lecturer
May 2018 - October 2018
ISCRAM Asia Pacific
Position
  • Reviewer
Education
October 2014 - October 2018
September 2009 - October 2010
University of Staffordshire
Field of study
  • IT Management

Publications

Publications (91)
Article
Background The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into rural areas where there is limited access to high-...
Article
Full-text available
Increasing in elderly population put extra pressure on healthcare systems globally in terms of operational costs and resources. To minimize this pressure and provide efficient healthcare services, the application of the Internet of Things (IoT) and wearable technology could be promising. These technologies have the potential to improve the quality...
Article
Full-text available
The elderly population is increasing globally, putting more pressure on aged care and public health systems. To address this issue and help increase the independence of older people, different digital technologies, including the Internet of things (IoT), can play an important role. Although there has been an increase in the number of studies in thi...
Article
Full-text available
Background: Although both disaster management and disaster medicine have been used for decades, their efficiency and effectiveness have been far from perfect. One reason could be the lack of systematic utilization of modern technologies, such as eHealth, in their operations. To address this issue, researchers’ efforts have led to the emergence of t...
Article
Full-text available
Hospital readmission is one of the challenges that force an extra pressure and financial burden on healthcare and causes a significant waste of medical resources. However, some of these readmissions could be predicted and preventable. For this prediction, identifying the patients with high readmission rates is necessary before discharge to make app...
Article
Background Digital biomarkers are increasingly used in clinical decision support for various health conditions. Speech features as digital biomarkers can offer insights into underlying physiological processes due to the complexity of speech production. This process involves respiration, phonation, articulation, and resonance, all of which rely on s...
Article
Full-text available
Objectives This systematic literature review explores the applications of social network platforms for disaster health care management and resiliency and investigates their potential to enhance decision-making and policy formulation for public health authorities during such events. Methods A comprehensive search across academic databases yielded 9...
Article
Effectively caring for adults with depression is challenging. While technology offers potential improvements in emotional well-being through better monitoring, standardised methods to gather and analyse relevant data are highly fragmented. This Systematic Literature Review (SLR) explores using Internet of Things (IoT) based data collection and anal...
Conference Paper
Mild traumatic brain injury (mTBI) is challenging to diagnose due to its subtle and transient symptoms, making noninvasive diagnostic tools crucial for early detection. This study explores the use of a custom ResNet deep learning model combined with the Grad-CAM interpretability technique for mTBI detection via speech analysis. Speech data were tra...
Article
Full-text available
The secure and efficient collection of patients’ vital information is a challenge faced by the healthcare industry. Through the adoption and application of Internet of Things (IoT), the healthcare industry has seen an improvement in the quality of delivered services and patient safety. However, IoT utilization in healthcare is challenging due to th...
Article
Full-text available
Due to the increasing demand for electricity, competitive electricity markets, and economic concerns, power systems are operating near their stability margins. As a result, power systems become more vulnerable following disturbances, particularly from a dynamic point of view. To maintain the stability of power systems, operators need to continuousl...
Preprint
Full-text available
Speech emotion recognition (SER) is an important application in the field of Affective Computing and Artificial Intelligence. Recently, there has been a significant interest in Deep Neural Networks using speech spectrograms. As the two-dimensional representation of the spectrogram includes more speech characteristics, research interest in convoluti...
Article
Full-text available
This study examines the performance of various machine learning (ML) models in predicting Interstitial Glucose (IG) levels using data from wrist-worn wearable sensors. The insights from these predictions can aid in understanding metabolic syndromes and disease states. A public dataset comprising information from the Empatica E4 smart watch, the Dex...
Preprint
BACKGROUND Changes in various speech features have been linked to various neurological and mental health-related pathologies; these changes can often be detected years before a definitive clinical diagnosis. With the growing interest in using speech analysis for detecting a myriad of health conditions and the growing number of patients with multipl...
Article
Background Speech features are increasingly linked to neurodegenerative and mental health conditions, offering the potential for early detection and differentiation between disorders. As interest in speech analysis grows, distinguishing between conditions becomes critical for reliable diagnosis and assessment. Objective This pilot study explores s...
Preprint
BACKGROUND Digital biomarkers are increasingly used in clinical decision support for various health conditions. Speech features as digital biomarkers can offer insights into underlying physiological processes due to the complexity of speech production. This process involves respiration, phonation, articulation, and resonance, all of which rely on s...
Article
Full-text available
Background The increased application of Internet of Things (IoT) in healthcare, has fueled concerns regarding the security and privacy of patient data. Lightweight Cryptography (LWC) algorithms can be seen as a potential solution to address this concern. Due to the high variation of LWC, the primary objective of this study was to identify a suitabl...
Article
Full-text available
The inefficiency of the healthcare system in addressing pandemics is highlighted after COVID-19 which is mostly rooted in data availability and accuracy. As it is believed we might witness more pandemics in future, our research’s main objective is to propose an integrated health system to support healthcare preparedness for future infectious outbre...
Article
Full-text available
Mental health (MH) has become a global issue. Digital phenotyping in mental healthcare provides a highly effective, scaled, cost-effective approach to handling global MH problems. We propose an MH monitoring application. The application monitors overall MH based on mood, stress, behavior, and personality. Further, it proposes objective MH assessmen...
Article
Background The phenomenon of patients missing booked appointments without canceling them—known as Did Not Show (DNS), Did Not Attend (DNA), or Failed To Attend (FTA)—has a detrimental effect on patients’ health and results in massive health care resource wastage. Objective Our objective was to develop machine learning (ML) models and evaluate thei...
Chapter
The dynamic landscape of Information Technology Project Management (ITPM) along with a recent emphasis on the concept of suitability, motivates organisations to better utilise their resources and improve current practices. This has been leading to explore the potential of deep learning-based Recommendation Systems (RecSys) in this domain. We focus...
Conference Paper
Mental health (MH) has become a global issue with increased numbers, especially after COVID-19. Digital phenotyping in mental healthcare provides a highly effective, scaled, cost-effective approach to handling global MH problems. We propose a conceptual design of an MH monitoring application for both patients and clinicians. The application is desi...
Conference Paper
In an increasingly interconnected world, disease spread has increased, posing devastating consequences for public health. Technologies like wearable devices, social media, Big Data Analysis (BDA), and Artificial Intelligence (AI) offer promising solutions for aiding public health authorities in coping with Infectious Disease Outbreaks (IDOs). The s...
Article
Full-text available
Globally, renewable energy-based power generation is experiencing exponential growth due to concerns over the environmental impacts of traditional power generation methods. Microgrids (MGs) are commonly employed to integrate renewable sources due to their distributed nature, with batteries often used to compensate for power fluctuations caused by t...
Article
Full-text available
Objective: Digital technology has changed the way healthcare is delivered and accessed. However, the focus is mostly on technology and clinical aspects. This review aimed to integrate and critically analyse the available knowledge regarding patients' perspectives on digital health tools and identify facilitators and barriers to their uptake. Meth...
Article
Full-text available
Objective: Clinical Information System (CIS) usage can reduce healthcare costs over time, improve the quality of medical care and safety, and enhance clinical efficiency. However, CIS implementation in developing countries poses additional, different challenges from the developed countries. Therefore, this research aimed to systematically review t...
Article
Full-text available
Electronic medical records (EMRs) help in identifying disease archetypes and progression. A very important part of EMRs is the presence of time domain data because these help with identifying trends and monitoring changes through time. Most time-series data come from wearable devices monitoring real-time health trends. This review focuses on the ti...
Article
Effective disaster response highly depends on disaster types, scale, and attributes of disaster affected regions. Although deeply interconnected, social, cyber and physical aspects are usually not considered together when shaping an appropriate disaster response strategy. We introduce a conceptual framework in which disasters are socio-cyber-physic...
Article
Full-text available
The need to overcome the challenges of visual inspections conducted by domain experts drives the recent surge in visual inspection research. Typical manual industrial data analysis and inspection for defects conducted by trained personnel are expensive, time-consuming, and characterized by mistakes. Thus, an efficient intelligent-driven model is ne...
Article
Full-text available
Data science-based digital twin models of renewable energy system technologies developed in a real-time data-rich environment help develop better decisions and predictions than those in the present environment. Based on this real-time analysis of countrywide data, digital twin contributes to effective and reduced cost-based power system control at...
Article
Full-text available
Manual or traditional industrial product inspection and defect-recognition models have some limitations, including process complexity, time-consuming, error-prone, and expensiveness. These issues negatively impact the quality control processes. Therefore, an efficient, rapid, and intelligent model is required to improve industrial products’ product...
Conference Paper
Full-text available
An intrinsic bi-directional gated recurrent neural network for recognising human physical activities from intelligent sensors is presented in this work. In-depth exploration of human activity data is significant for assisting different groups of people, including healthy, sick, and elderly populations in tracking and monitoring their level of healt...
Chapter
The increasing penetration of smartphones and their ability to host mobile technologies have shown valuable outcomes in disaster management; albeit, their application in disaster medicine remains limited. In this chapter, the authors explore the role of mobile technologies for clinical applications and communication and information exchange during...
Conference Paper
Full-text available
Human’s emotional states affect their utterances which are generated through vocal cord vibrations. Accurate recognition of these emotional states encoded in human speech signals is critical and can be leveraged for mental health. This includes assisting practitioners in their assessments and decision-making, improving therapy effectiveness, monito...
Article
Full-text available
Mainstream healthcare has been facing numerous challenges, and it is expected to see that these challenges become more severe and frequent when healthcare is dealing with disasters. This points to the necessity of utilising technologies to support healthcare and disaster managers in making quality decisions during chaotic and rapidly changing condi...
Preprint
Full-text available
We propose a tool-supported framework to reason about requirements constraining resource distributions and devise strategies for routing essential services in a disaster-affected region. At the core of our approach is the Route Advisor for Disaster-Affected Regions (RADAR) framework that operates on high-level algebraic representations of the regio...
Article
Background Using different technologies for healthcare-related purposes has been significantly accelerated since the beginning of the COVID-19 pandemic. This outbreak highlighted the need for digital contact-tracing applications to effectively manage the pandemic by identifying positive case close contacts that might be the virus carriers. Objecti...
Conference Paper
Full-text available
Accurate prediction of natural gas consumption is of great importance for supply-demand balances and investments. This paper aims to utilize and compare the performance of multiple powerful machine learning algorithms to accurately predict the consumption of natural gas in Bahçeşehir, Istanbul. The utilized algorithms include Linear Regression, Ran...
Chapter
Full-text available
The increasing penetration of smartphones and their ability to host mobile technologies have shown valuable outcomes in disaster management; albeit, their application in disaster medicine remains limited. In this chapter, the authors explore the role of mobile technologies for clinical applications and communication and information exchange during...
Conference Paper
Full-text available
Access to patients Electronic Health Records (EHR) is a daily operation in mainstream healthcare. However, having access to EHR in emergencies while is vitally important to save patients’ life, it could potentially lead to security breaches and violating patients’ privacy. In this regards, getting access to patients’ medical records in emergency si...
Conference Paper
Full-text available
Disasters often occur without warning and despite extensive preparation, disaster managers must take action to respond to changes critical resource allocations to support existing health-care facilities and emergency triages. A key challenge is to devise sound and verifiable resourcing plans within an evolving disaster scenario. Our main contributi...
Conference Paper
Full-text available
Failure in Enterprise Resource Planning (ERP) systems implementation can result in substantial costs, waste of resources, and the inability to meet the company’s requirements. Agile methodology is the modern project management methodology that can benefit ERP project development and implementation. This paper investigates the critical success facto...
Conference Paper
Full-text available
The rapid growth of innovative technologies and the complexity of IT projects lead to the change in the tools and competency required for organization management and project management. Also, the scope of an IT product is no longer within a single project and team but requires the collaboration among multiple projects, teams and the alignment with...
Chapter
Sustainable decisions can be thwarted by a plethora of conflicting influences and information, yet the need to prioritise sustainability in management has never been greater. In an era of high- and ultra-high dimensional data, deep learning models offer the scalability required to extract good representations of significant features from raw data....
Conference Paper
Full-text available
We propose a tool-supported framework to reason about requirements constraining resource distributions and devise strategies for routing essential services in a disaster-affected region. At the core of our approach is the Route Advisor for Disaster-Affected Regions (RADAR) framework that operates on high-level algebraic representations of the regio...
Conference Paper
Feature selection is an important pre-processing, data mining, and knowledge discovery tool for data analysis. By eliminating redundant and irrelevant features from high-dimensional data, feature selection diminishes the 'curse of dimensionality' to improve performance. Data are becoming increasingly complex; heterogeneous data may often be viewed...
Conference Paper
Feature selection (FS) is a fundamental big data task, improving classification performance by selecting a relevant feature subset to mitigate the ‘curse of dimensionality’. As the number of attributes increase, search algorithms can limit FS methods. Particle swarm optimization (PSO) is a global search metaheuristic, with the ability to search a s...
Article
Full-text available
Background: The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into rural areas where there is limited access to hig...
Article
Currently, healthcare in disaster management context faces a number of challenges mostly due to the lack of availability of reliable data from diverse sources required to be accessible by appropriate authorities. Therefore, the main objective of this study is the introduction of a framework based on the integration of three technologies, Internet o...
Chapter
Wearable technology refers to a large class of electronic and mobile devices that are integrated into implants, accessories, or outfits and can be worn on the body as portable measurement tools (Gao et al. 2015). This technology also includes the software applications with analytic algorithms embedded in wearable devices (Schüll 2016). These techno...
Conference Paper
Full-text available
A significant economic, environmental and sustainability topic in information and communication technology (ICT) and e-business sectors is green computing. An aspect of green informatics, green computing is gaining attention because of its wide-ranging benefits over traditional computing; factors that inhibit the adoption of green computing are the...
Article
Mobile Ad hoc Network (MANET) is a group of networked mobile devices working in a cooperative manner. Due to usage, these devices quickly run out of battery power in critical situations and consequently fail in packet transmission. Power-Efficient Gathering in Sensor Information Systems (PEGASIS) and Dynamic State algorithm are two research works w...
Conference Paper
Full-text available
Natural and manmade disasters pose a myriad of challenges, which are more severe for individuals with disabilities. Ordinarily to perform daily activities, the disabled get support from assistive technological devices and services; these are commonly disrupted during and after disasters. A proposed solution to support those with visual impairment i...
Poster
Full-text available
The main objective of this study is to propose a unified model based on integration of three technologies, Internet of Things (IoT), Cloud Computing and Big Data, to solve the abovementioned problems in all disaster phases. This model supports authorities by enabling automatic data gathering and sharing and assists them in performing analytical cal...
Poster
Full-text available
During and after disasters, rescue operations face a number of difficulties as the obstacles for effective and efficient operation. This research concentrates on resource allocation in regard to casualty. ❖ Most resource deployment strategies are generated manually by professional people associated with their experience (Muaafa, Concho and Ramirez-...
Presentation
The number of research on the information security is growing, not many studies have concentrated on investigating healthcare information security and vulnerabilities. Therefore, the need arises to investigate and assess the security and privacy risks of Internet of Things (IoT) technology and to have an in-depth understanding of IoT adoption and i...
Conference Paper
Full-text available
The united nations statistics show that our society is rapidly aging, and this has thus, led to the surge in the development of assisted living technologies. Of note is the minimal attention given to the assisted living technologies for dementia sufferers. This research study therefore, proposes the design of an assisted living technology that coul...
Article
Full-text available
Social engineering attacks are possibly one of the most dangerous forms of security and privacy attacks since they are technically oriented to psychological manipulation and have been growing in frequency with no end in sight. This research study assessed the major aspects and underlying concepts of social engineering attacks and their influence in...
Article
Full-text available
Disaster eHealth is a new area of research and endeavour. In order to make a practical contribution Disaster eHealth approaches should consider the role of a Disaster eHealth appliance. Both disaster management and disaster medicine may find that such approaches allow critical information to be gathered and situational awareness improved. This pape...
Presentation
Full-text available
Social media/networks and disasters are now common terms.
Presentation
Full-text available
The e-commerce revolution has created unprecedented challenges for companies to overcome in the digital age. Businesses are expected to deliver much greater performance with reduced resources, supply more channels with the same inventory level, and deliver exquisite customer experiences at the same time – and to do so faster, cheaper and with produ...
Presentation
Full-text available
Role of social networks on Disaster Management Cycle (DMC)
Conference Paper
Full-text available
A disaster is an event with a destructive environmental or ecological impact that cannot be managed within local community resources. When such an event takes place, health professionals and emergency managers have the central roles in responding and providing relief. Communication between these two groups is therefore crucial to ensure effective i...
Conference Paper
Full-text available
Disaster eHealth is a new area of research and endeavor. In order to make a practical contribution disaster eHealth approaches should consider the role of a disaster eHealth appliance. Both disaster management and disaster medicine may find that such approaches allow critical information to be gathered and situational awareness improved. Self-care...
Presentation
Full-text available
Disasters are a part of life and no society is immune to them, so planned disaster management and disaster medicine are two essential requirements. If enacted properly, they can lessen the harmful effects of disasters to a great extent. However, their operations during recent catastrophes reveal that they are frequently far from perfect. Too many d...
Conference Paper
Full-text available
E-health technologies are designed specifically for facilitating challenges in the healthcare environment, and in 2003 the area of e-health technologies was identified by the SDO Programme Board as an important area for future research [1]. E-health encompasses a variety of technologies from telemedicine and mobile health to big data, Electronic He...
Article
Full-text available
Disasters either natural or man-made are inevitable, and therefore disaster management has always been an important function of government. Since during a disaster healthcare is often adversely affected, a lot of effort has been made in terms of researching effective responses and ways of and improving the quality of delivered care to direct casual...
Conference Paper
Full-text available
Disaster management and disaster medicine are well-established disciplines for responding to disasters and providing care for individuals whose health and well- being has been affected. However, these disciplines have different origins, development, and priorities so that communication and coordination across them during disasters is often lacking,...