ORCID Profile
0000-0001-8384-9509
Current Organisations
International School of Engineering (INSOFE) + Systems Wisdom
,
Australian Research Data Commons
,
University of Technology Sydney
,
Systems Wisdom Corp
,
University of Canterbury
,
National Institute of Technology (RECT/ BDU)
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Health Information Systems (incl. Surveillance) | Medical Devices | Software Engineering | Computer Software
ANZSRC Socio-Economic Objective (SEO)
Behaviour and Health | Integrated Circuits and Devices | Application Software Packages (excl. Computer Games) |
Related Links
Publications
Pseudocapacitance of Co doped NiO nanoparticles and its room temperature ferromagnetic behavior
Publisher: Elsevier BV
Date: 02-2018
Analysis and Design of RF Filters with Lumped and Distributed Elements
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Date: 29-08-2019
Applications of Social Systems Modeling to Political Risk Management
Publisher: Springer Berlin Heidelberg
Date: 2012
An Energy - Efficient Approach for Restoring the Coverage Area During Sensor Node Failure
Publisher: Springer International Publishing
Date: 03-11-2019
Agent Directed Simulation for Combat Modeling and Distributed Simulation
Publisher: Wiley
Date: 22-02-2012
What is a good pattern of life model? Guidance for simulations
Publisher: SAGE Publications
Date: 31-08-2019
Abstract: We have been modeling an ever-increasing scale of applications with agents that simulate the pattern of life (PoL) and real-world human behaviors in erse regions of the world. The goal is to support sociocultural training and analysis. To measure progress, we propose the definition of a measure of goodness for such simulated agents, and review the issues and challenges associated with first-generation (1G) agents. Then we present a second generation (2G) agent hybrid approach that seeks to improve realism in terms of emergent daily activities, social awareness, and micro-decision making in simulations. We offer a PoL case study with a mix of 1G and 2G approaches that was able to replace the pucksters and avatar operators needed in large-scale immersion exercises. We conclude by observing that a 1G PoL simulation might still be best where large-scale, pre-scripted training scenarios will suffice, while the 2G approach will be important for analysis or if it is vital to learn about adaptive opponents or unexpected or emergent effects of actions. Lessons are shared about ways to blend 1G and 2G approaches to get the best of each.
Exploring the validity of occupant behavior model for improving office building energy simulation
Publisher: IEEE
Date: 12-2018
Sociocultural games for training and analysis
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2007
Introducing negative penalty functions in least square optimisation
Publisher: Civil-Comp Press
Date: 2010
DOI: 10.4203/CCP.93.340
A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease
Publisher: IEEE
Date: 18-07-2021
Cyberbullying Detection: Hybrid Models Based on Machine Learning and Natural Language Processing Techniques
Publisher: MDPI AG
Date: 16-11-2021
DOI: 10.3390/ELECTRONICS10222810
Abstract: The rise in web and social media interactions has resulted in the efortless proliferation of offensive language and hate speech. Such online harassment, insults, and attacks are commonly termed cyberbullying. The sheer volume of user-generated content has made it challenging to identify such illicit content. Machine learning has wide applications in text classification, and researchers are shifting towards using deep neural networks in detecting cyberbullying due to the several advantages they have over traditional machine learning algorithms. This paper proposes a novel neural network framework with parameter optimization and an algorithmic comparative study of eleven classification methods: four traditional machine learning and seven shallow neural networks on two real world cyberbullying datasets. In addition, this paper also examines the effect of feature extraction and word-embedding-techniques-based natural language processing on algorithmic performance. Key observations from this study show that bidirectional neural networks and attention models provide high classification results. Logistic Regression was observed to be the best among the traditional machine learning classifiers used. Term Frequency-Inverse Document Frequency (TF-IDF) demonstrates consistently high accuracies with traditional machine learning techniques. Global Vectors (GloVe) perform better with neural network models. Bi-GRU and Bi-LSTM worked best amongst the neural networks used. The extensive experiments performed on the two datasets establish the importance of this work by comparing eleven classification methods and seven feature extraction techniques. Our proposed shallow neural networks outperform existing state-of-the-art approaches for cyberbullying detection, with accuracy and F1-scores as high as ~95% and ~98%, respectively.
Challenges of Country Modeling with Databases, Newsfeeds, and Expert Surveys
Publisher: CRC Press
Date: 08-10-2009
Thematic Analysis of Big Data in Financial Institutions Using NLP Techniques with a Cloud Computing Perspective: A Systematic Literature Review
Publisher: MDPI AG
Date: 20-10-2023
DOI: 10.3390/INFO14100577
Analyzing Donors Behaviors in Nonprofit Organizations: A Design Science Research Framework
Publisher: Springer Nature Singapore
Date: 2022
Research and Development in the Networks of Cognitive Radio: A Survey
Publisher: Springer Singapore
Date: 2021
Room temperature ferromagnetic behavior of Mn doped NiO nanoparticles: a suitable electrode material for supercapacitors
Publisher: Springer Science and Business Media LLC
Date: 21-08-2017
Subjective and objective responses to caloric stimulation help separate vestibular migraine from other vestibular disorders
Publisher: Springer Science and Business Media LLC
Date: 17-10-2023
Holistically evaluating agent-based social systems models: a case study
Publisher: SAGE Publications
Date: 22-08-2013
Abstract: The philosophical perspectives on model evaluation can be broadly classified into reductionist/logical positivist and relativist/holistic. In this paper, we outline some of our past efforts in, and challenges faced during, evaluating models of social systems with cognitively detailed agents. Owing to richness in the model, we argue that the holistic approach and consequent continuous improvement are essential to evaluating complex social system models such as these. A social system built primarily of cognitively detailed agents can provide multiple levels of correspondence, both at observable and abstract aggregated levels. Such a system can also pose several challenges, including large feature spaces, issues in information elicitation with database, experts and news feeds, counterfactuals, fragmented theoretical base, and limited funding for validation. We subscribe to the view that no model can faithfully represent reality, but detailed, descriptive models are useful in learning about the system and bringing about a qualitative jump in understanding of the system it attempts to model – provided they are properly validated. Our own approach to model evaluation is to consider the entire life cycle and assess the validity under two broad dimensions of (1) internally focused validity/quality achieved through structural, methodological, and ontological evaluations and (2) external validity consisting of micro validity, macro validity, and qualitative, causal and narrative validity. In this paper, we also elaborate on selected validation techniques that we have employed in the past. We recommend a triangulation of multiple validation techniques, including methodological soundness, qualitative validation techniques, such as face validation by experts and narrative validation, and formal validation tests, including correspondence testing.
Modeling factions for effects based operations: Part I - Leaders and followers
Publisher: Springer Science and Business Media LLC
Date: 19-06-2007
Comparative analysis of CP-OFDM and F-OFDM schemes for cognitive networks
Publisher: AIP Publishing
Date: 2022
DOI: 10.1063/5.0070769
Positive and negative penalty parameters in optimisation subjected to continuous constraints
Publisher: Elsevier BV
Date: 10-2012
Comprehensive Analysis of Bushfire and its Mitigation Methods: A Conceptual Framework
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4358507
Analysis and Design of a Novel Microstrip Filter for C - Band Applications
Publisher: IEEE
Date: 03-2019
Simulation-based training of ill-defined social domains: The Complex Environment Assessment and Tutoring System (CEATS)
Publisher: Springer Berlin Heidelberg
Date: 2012
Modeling and Simulation of Agents in Resource Strategy Games
Publisher: Defense Technical Information Center
Date: 19-06-2008
DOI: 10.21236/ADA483617
A Systematic Review and Taxonomy of Data Analytics in Nonprofit Organisations
Publisher: Korea Society of Management Information Systems
Date: 31-03-2023
Investigating the Impact of Actual and Modeled Occupant Behavior Information Input to Building Performance Simulation
Publisher: MDPI AG
Date: 17-01-2021
DOI: 10.3390/BUILDINGS11010032
Abstract: Occupant behaviors are one of the most dominant factors that influence building energy use. Understanding the influences from building occupants can promote the development of energy–efficient buildings. This paper quantifies the impact of different occupant behavior information on building energy model (BEM) from multiple perspectives. For this purpose, an occupant behavior model that uses agent–based modeling (ABM) approach is implemented via co-simulation with a BEM of an existing commercial building. Then, actual occupant behavior data in correspondence to ABM output, including operations on window, door, and blinds in selected thermal zones of the building are recorded using survey logs. A simulation experiment is conducted by creating three BEMs with constant, actual, and modeled occupant behavioral inputs. The analysis of the simulation results among these scenarios helps us gain an in–depth understanding of how occupant behaviors influence building performance. This study aims to facilitate robust building design and operation with human–in–the–loop system optimization.
Rapid generation of political conflict simulations for scenarios around the world
Publisher: CRC Press
Date: 19-09-2016
Applying a Systems Model to Enterprise Risk Management
Publisher: Informa UK Limited
Date: 12-2014
Impact of occupant autonomy on satisfaction and building energy efficiency
Publisher: Elsevier BV
Date: 08-2023
Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks
Publisher: Computers, Materials and Continua (Tech Science Press)
Date: 2022
Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks
Publisher: IOP Publishing
Date: 07-2021
A framework of occupant behavior modeling and data sensing for improving building energy simulation
Publisher: Society for Modeling and Simulation International (SCS)
Date: 2018
M&S Methodologies: A Systems Approach to the Social Sciences
Publisher: Wiley
Date: 29-03-2010
Human behavior models for agents in simulators and games: Part II: Gamebot engineering with PMFserv
Publisher: MIT Press - Journals
Date: 04-2006
DOI: 10.1162/PRES.2006.15.2.163
Abstract: Many producers and consumers of legacy training simulator and game environments are beginning to envision a new era where psycho-socio-physiologic models could be interoperated to enhance their environments' simulation of human agents. This paper explores whether we could embed our behavior modeling framework (described in the companion paper, Part 1) behind a legacy first person shooter 3D game environment to recreate portions of the Black Hawk Down scenario. Section 1 lifies the interoperability needs and challenges confronting the field, presents the questions that are examined, and describes the test scenario. Sections 2 and 3 review the software and knowledge engineering methodology, respectively, needed to create the system and populate it with bots. Results (Section 4) and discussion (Section 5) reveal that we were able to generate plausible and adaptive recreations of Somalian crowds, militia, women acting as shields, suicide bombers, and more. Also, there are specific lessons learned about ways to advance the field so that such interoperabilities will become more affordable and widespread.
Systematic Capacity‐Based Risk Assessment: Application to Water Service Project in Kassala, Sudan
Publisher: Wiley
Date: 07-2017
Evaluation of electronic and biological interactions between N-[4-(Ethylsulfamoyl)phenyl]acetamide and some polar liquids (IEFPCM solvation model) with Fukui function and molecular docking analysis
Publisher: Elsevier BV
Date: 10-2021
A Study and Simulation of Spectrum Sensing Schemes for Cognitive Radio Networks
Publisher: IEEE
Date: 07-2020
OFDM based orthogonal and non-orthogonal multi carrier modulation 5G waveforms performance investigation
Publisher: AIP Publishing
Date: 2022
DOI: 10.1063/5.0109707
Challenges of Country Modeling with Databases, Newsfeeds, and Expert Surveys
Publisher: CRC Press
Date: 03-06-2009
Big data optimisation and management in supply chain management: a systematic literature review
Publisher: Springer Science and Business Media LLC
Date: 24-06-2023
DOI: 10.1007/S10462-023-10505-4
Abstract: The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us to review recent research development. This paper proposes a systematic literature review to explore the available peer-reviewed literature on how big data is widely optimised and managed within the supply chain management context. Although big data applications in supply chain management appear to be often studied and reported in the literature, different angles of big data optimisation and management technologies in the supply chain are not clearly identified. This paper adopts the explanatory literature review involving bibliometric analysis as the primary research method to answer two research questions, namely: (1) How to optimise big data in supply chain management? and (2) What tools are most used to manage big data in supply chain management? A total of thirty-seven related papers are reviewed to answer the two research questions using the content analysis method. The paper also reveals some research gaps that lead to prospective future research directions.
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques
Publisher: Elsevier BV
Date: 04-2022
Fuel Management and Control in a Vehicular System
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Date: 29-08-2019
Application of Artificial Intelligence in Healthcare by Industries in Australia: Opportunities and Challenges
Publisher: Springer International Publishing
Date: 2022
Validating agent based social systems models
Publisher: IEEE
Date: 12-2010
Modeling factions for ‘effects based operations’, part II: behavioral game theory
Publisher: Springer Science and Business Media LLC
Date: 29-02-2008
Explainable hybrid word representations for sentiment analysis of financial news.
Publisher: Elsevier BV
Date: 07-2023
A review on motivational nudges for enhancing building energy conservation behavior
Publisher: OAE Publishing Inc.
Date: 2021
A systems approach to healthcare: Agent-based modeling, community mental health, and population well-being
Publisher: Elsevier BV
Date: 02-2015
DOI: 10.1016/J.ARTMED.2014.08.006
Abstract: Explore whether agent-based modeling and simulation can help healthcare administrators discover interventions that increase population wellness and quality of care while, simultaneously, decreasing costs. Since important dynamics often lie in the social determinants outside the health facilities that provide services, this study thus models the problem at three levels (in iduals, organizations, and society). The study explores the utility of translating an existing (prize winning) software for modeling complex societal systems and agent's daily life activities (like a Sim City style of software), into a desired decision support system. A case study tests if the 3 levels of system modeling approach is feasible, valid, and useful. The case study involves an urban population with serious mental health and Philadelphia's Medicaid population (n=527,056), in particular. Section 3 explains the models using data from the case study and thereby establishes feasibility of the approach for modeling a real system. The models were trained and tuned using national epidemiologic datasets and various domain expert inputs. To avoid co-mingling of training and testing data, the simulations were then run and compared (Section 4.1) to an analysis of 250,000 Philadelphia patient hospital admissions for the year 2010 in terms of re-hospitalization rate, number of doctor visits, and days in hospital. Based on the Student t-test, deviations between simulated vs. real world outcomes are not statistically significant. Validity is thus established for the 2008-2010 timeframe. We computed models of various types of interventions that were ineffective as well as 4 categories of interventions (e.g., reduced per-nurse caseload, increased check-ins and stays, etc.) that result in improvement in well-being and cost. The 3 level approach appears to be useful to help health administrators sort through system complexities to find effective interventions at lower costs.
Gaming and simulating ethno-political conflicts
Publisher: Springer Berlin Heidelberg
Date: 2009
Sustainability of Load Balancing Techniques in Fog Computing Environment: Review
Publisher: Elsevier BV
Date: 2021
Detecting Alzheimer’s Disease by Exploiting Linguistic Information from Nepali Transcript
Publisher: Springer International Publishing
Date: 2020
Design and Implementation of a Novel Microstrip Filter
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Date: 29-08-2019
A systematic development and validation approach to a novel agent-based modeling of occupant behaviors in commercial buildings
Publisher: Elsevier BV
Date: 09-2019
Designing a conceptual framework for strategic selection of Bushfire mitigation approaches.
Publisher: Elsevier BV
Date: 10-2023
Social Networks in Crisis Management: a Concise Literature Review
Publisher: MDPI AG
Date: 05-07-2023
DOI: 10.20944/PREPRINTS202307.0351.V1
Abstract: This paper proposes a concise literature review aimed at identifying the current body of knowledge on the adoption of Social Networks in Crisis Management. The major input is a structured research question based on the initial reading around the topic. Before the recent pan-demic, most literature has focused on local crises, with a relatively low number of exceptions. Additionally, self-organizing system are spontaneous established between people who are af-fected by a crisis. Among the identified challenges, there is the need to integrate official commu-nication by emergency agencies with citizen-generated contents in a contest of credibility and trustworthiness. In certain cases, it has been reported a lack of specific competence, knowledge, and expertise, as well as a lack of sufficient policies and guidelines in the use of Social Networks. Those challenges need to be framed by considering the classic difficulties to provide timely and accurate information, to deal with fake news, unverified or misleading information, and infor-mation overload. Bridging major gaps though advanced analytics and AI-based technology is expected to provide a key contribution to establish and safely enable in practice an effective and efficient communication, to contrast dissonant mental models, which are often fostered by Social Networks, and to enable a shared situational awareness.
Laboratory lesson plans: Opportunities created by remote laboratories
Publisher: IEEE
Date: 07-2012
Battery and hydrogen-based electric vehicle adoption: A survey of Australian consumers perspective
Publisher: Elsevier BV
Date: 12-2022
StateSim: lessons learned from 20 years of a country modeling and simulation toolset
Publisher: Springer Science and Business Media LLC
Date: 13-02-2021
Social Networks in Crisis Management: A Literature Review to Address the Criticality of the Challenge
Publisher: MDPI AG
Date: 21-09-2023
A review on motivational nudges for enhancing building energy conservation behavior
Publisher: OAE Publishing Inc.
Date: 2021
Related Organisations
Decision Strategies International [USA] (now Part Of Heidrick & Struggles)
Location: United States of America
International School Of Engineering (INSOFE) + Systems Wisdom
Location: United States of America
NSW Office Of The Environment And Heritage (Consulting)
Location: Australia
Related Funding Activities
Industrial Transformation Research Hubs - Grant ID: IH170100013
Start Date: 03-2018
End Date: 10-2023
Amount: $2,962,655.00
Funder: Australian Research Council
View Funded Activity