@article{el_cheddadi_role_2025,

title = {The role of artificial intelligence and machine learning in safeguarding IoMT security and privacy},

author = {A. El Cheddadi and H. Moudoud and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105024398178&doi=10.1201%2F9781003640325-1&partnerID=40&md5=442f29d04b42d63f9fd11c83ad4a77df},

doi = {10.1201/9781003640325-1},

issn = {978-100364032-5 (ISBN); 978-104107046-7 (ISBN)},

year  = {2025},

date = {2025-01-01},

journal = {Digital Forensics in Next-Generation Internet of Medical Things: Balancing Security and Sustainability},

pages = {1–17},

keywords = {Artificial intelligence learning, Data privacy, Learning systems, Machine learning, Machine-learning, Security and privacy},

pubstate = {published},

tppubtype = {article}

}

@article{khosrojerdi_leveraging_2025,

title = {Leveraging AI for Sustainable Energy Development in Solar Power Plants Operating Under Shading Conditions},

author = {F. Khosrojerdi and S. Gagnon and R. Valverde},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007798431&doi=10.3390%2Fen18112960&partnerID=40&md5=02986a1a6a4bcd62967f83e278b9edc6},

doi = {10.3390/en18112960},

issn = {19961073 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Energies},

volume = {18},

number = {11},

abstract = {In a photovoltaic (PV) system, shading caused by weather and environmental factors can significantly impact electricity production. For over a decade, artificial intelligence (AI) techniques have been applied to enhance energy production efficiency in the solar energy sector. This paper demonstrates how AI-based control systems can improve energy output in a solar power plant under shading conditions. The findings highlight that AI contributes to the sustainable development of the solar power sector. Specifically, maximum power point tracking (MPPT) control systems, utilizing metaheuristic and computer-based algorithms, enable PV arrays to mitigate the impacts of shading effectively. The effect of shading on a PV module is also simulated using MATLAB R2018b. Using actual PV data from a solar power plant, power outputs are compared in two scenarios: (I) PV systems without a control system and (II) PV arrays equipped with MPPT boards. The System Advisor Model (SAM) is employed to calculate the monthly energy output of the case study. The results confirm that PV systems using MPPT technology generate significantly more monthly energy compared to those without MPPTs. © 2025 by the authors.},

note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},

keywords = {Computer control systems, Condition, Electric power system control, Energy, Energy forecasting, Energy output, Maximum Power Point Tracking, MPPT, Photovoltaic arrays, Photovoltaic systems, Power, PSC, SDGs, Solar energy, Solar fuels, Solar heating, sustainable development, Sustainable energy development},

pubstate = {published},

tppubtype = {article}

}

@article{agbodoh_falschau_governance_2025,

title = {Do governance determinants contribute to effective management of cybersecurity threats posed by misleading information? Evidence from Canadian organizations},

author = {K. R. Agbodoh Falschau and O. Lamzihri and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105024451738&doi=10.1108%2FIJAIM-12-2024-0467&partnerID=40&md5=58f9de11e945619e41d0f3085b3d819b},

doi = {10.1108/IJAIM-12-2024-0467},

issn = {18347649 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {International Journal of Accounting and Information Management},

abstract = {Purpose – This study aims to explore governance solutions adopted by Canadian organizations to address the cybersecurity threats posed by misleading information. Design/methodology/approach – This paper investigates the impact of several organizations’ governance determinants on five types of misleading information: phishing incidents, impersonation, fake news or false stories, fake reviews and other types of misleading information. Using nonparametric statistical techniques and regression models, this study assessed regional variations in responding to misleading information challenges and the effectiveness of mitigation strategies. Findings – These results reveal that no unique governance solutions have emerged across the jurisdictions, implying that organizations operating in each province have different tolerances for emerging cyber risks and, thus, adopted specific strategies to combat them. The results also suggest that the impact exerted by specific governance determinants on misleading information varies across jurisdictions. Research limitations/implications – Limitations: The reliance on secondary data may limit the generalization of the results to other countries. Future research should consider additional determinants, such as non-technological organizational factors, and a longitudinal approach to assessing the significance of solutions and the frequency of incidents. Implications: The study’s findings are expected to contribute to operational and strategic directions that elevate awareness of the growing threat of misleading information in the cyber domain. It provides stakeholders with effective governance solutions that play a critical role in mitigating cybersecurity risks by fostering awareness and detection capabilities. Practical implications – The study’s findings are expected to contribute to operational and strategic directions that elevate awareness of the growing threat of misleading information in the cyber domain. It provides stakeholders with effective governance solutions that play a critical role in mitigating cybersecurity risks by fostering awareness and detection capabilities. Originality/value – This paper offers new insights and practical implications about governance solutions that might be considered in combating specific misleading information portrayed as emerging cyber threats. © 2025 Emerald Publishing Limited},

keywords = {C81, Cyber threats, Disinformation, Fake news, G34, Governance, K42, M15, Misinformation, Misleading information},

pubstate = {published},

tppubtype = {article}

}

@article{fareedi_digital_2025,

title = {Digital Health Transformation: Leveraging a Knowledge Graph Reasoning Framework and Conversational Agents for Enhanced Knowledge Management},

author = {A. A. Fareedi and M. Ismail and S. Gagnon and A. Ghazanweh and Z. Arooj},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218906224&doi=10.3390%2fsystems13020072&partnerID=40&md5=53b218763023a1bec3d69899d4dd7a86},

doi = {10.3390/systems13020072},

issn = {20798954 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Systems},

volume = {13},

number = {2},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

abstract = {The research focuses on the limitations of traditional systems in optimizing information flow in the healthcare domain. It focuses on integrating knowledge graphs (KGs) and utilizing AI-powered applications, specifically conversational agents (CAs), particularly during peak operational hours in emergency departments (EDs). Leveraging the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, the authors tailored a customized methodology, CRISP-knowledge graph (CRISP-KG), designed to harness KGs for constructing an intelligent knowledge base (KB) for CAs. This KG augmentation empowers CAs with advanced reasoning, knowledge management, and context awareness abilities. We utilized a hybrid method integrating a participatory design collaborative methodology (CM) and Methontology to construct a domain-centric robust formal ontological model depicting and mapping information flow during peak hours in EDs. The ultimate objective is to empower CAs with intelligent KBs, enabling seamless interaction with end users and enhancing the quality of care within EDs. The authors leveraged semantic web rule language (SWRL) to enhance inferencing capabilities within the KG framework further, facilitating efficient information management for assisting healthcare practitioners and patients. This innovative assistive solution helps efficiently manage information flow and information provision during peak hours. It also leads to better care outcomes and streamlined workflows within EDs. © 2025 by the authors.},

note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},

keywords = {conversational agent, CRISP-KG, Knowledge graphs, ontologies, SWRL},

pubstate = {published},

tppubtype = {article}

}

@article{fareedi_semantic_2025,

title = {Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System},

author = {A. A. Fareedi and S. Gagnon and A. Ghazawneh and R. Valverde},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009278332&doi=10.3390%2ffi17060245&partnerID=40&md5=72bd14d033887f72e7e0c8a6a1451415},

doi = {10.3390/fi17060245},

issn = {19995903 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Future Internet},

volume = {17},

number = {6},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

abstract = {Data integration (DI) and semantic interoperability (SI) are critical in healthcare, enabling seamless, patient-centric data sharing across systems to meet the demand for instant, unambiguous access to health information. Federated information systems (FIS) highlight auspicious issues for seamless DI and SI stemming from diverse data sources or models. We present a hybrid ontology-based design science research engineering (ODSRE) methodology that combines design science activities with ontology engineering principles to address the above-mentioned issues. The ODSRE constructs a systematic mechanism leveraging the Ontop virtual paradigm to establish a state-of-the-art federated virtual knowledge graph framework (FVKG) embedded virtualized knowledge graph approach to mitigate the aforementioned challenges effectively. The proposed FVKG helps construct a virtualized data federation leveraging the Ontop semantic query engine that effectively resolves data bottlenecks. Using a virtualized technique, the FVKG helps to reduce data migration, ensures low latency and dynamic freshness, and facilitates real-time access while upholding integrity and coherence throughout the federation system. As a result, we suggest a customized framework for constructing ontological monolithic semantic artifacts, especially in FIS. The proposed FVKG incorporates ontology-based data access (OBDA) to build a monolithic virtualized repository that integrates various ontological-driven artifacts and ensures semantic alignments using schema mapping techniques. © 2025 by the authors.},

note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},

keywords = {Data integration, Data interoperability, Federated information systems, Federated ontology, Graph framework, Interoperability, Knowledge graphs, Knowledge management, Medical computing, Ontology, Ontology's, Ontop, Query processing, Semantic interoperability, Semantic Web, Semantics, Virtual knowledge, virtual reality, Virtualization, Virtualized knowledge graph},

pubstate = {published},

tppubtype = {article}

}

@article{von_lucke_comparative_2024,

title = {Comparative Analysis of the Relevance and Priority for Artificial Intelligence Tools, Services and Open Questions in the Hellenic, Argentinian and Canadian Parliaments},

author = {J. Von Lucke and F. Fitsilis and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206448457&doi=10.1163%2f26668912-bja10089&partnerID=40&md5=50e5ac8b59c25012285e0d98dddf6665},

doi = {10.1163/26668912-bja10089},

issn = {26668904 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Parliamentary Studies},

publisher = {Brill Academic Publishers},

abstract = {Artificial Intelligence (ai) is on the rise and already affecting parliaments around the world. In the framework of a long-term and on-going research project, a series of interactive workshops have been organized between 2021 and 2023 in three national parliaments, in Greece, Argentina, and Canada, with the objective to assess the relevance and priority of a pre-defined set of 210 proposals, primarily regarding the use of ai-based tools and services in the parliamentary workspace. Reflection groups within each parliament evaluated these proposals providing invaluable results that can be utilized in manifold ways by the institutions, for instance towards structuring digital strategies, designing future it systems, or training intra-parliamentary stakeholders. This article presents a comparative analysis of the results obtained by all three parliaments. The analysis sheds light in a rapidly developing field of disruptive parliamentary technology (ParlTech) that with define the parliaments of the future. © 2024 Jörn von Lucke et al.},

note = {Publisher: Brill Academic Publishers},

keywords = {Artificial intelligence, interactive workshops, parliament of the future, parliaments, ParlTech},

pubstate = {published},

tppubtype = {article}

}

@article{agbodoh-falschau_when_2024,

title = {When Misleading Information Hits: How Canadian Companies React?},

author = {R. K. Agbodoh-Falschau and O. Lamzihri and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207355906&doi=10.1057%2fs41299-024-00203-4&partnerID=40&md5=d5f72a1918cee04b8585bad2153ca426},

doi = {10.1057/s41299-024-00203-4},

issn = {13633589 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Corporate Reputation Review},

publisher = {Springer Nature},

abstract = {The concept of misleading information categorized as misinformation, disinformation, and mal-information among others is receiving much attention, as it is seen to have detrimental consequences on the organizations’ reputation and going concerns. Corporations face more challenges in honing responses to combat these cyber threats as there are still significant differences in the proposed governance solutions and a lack of empirical research investigating the most prevalent ones to fight these growing risks. Grounded on protection motivation theory, empirical evidence, and the data collected from the Statistics Canada Open Sources Database, this paper investigates the appropriateness of governance solutions that corporations contemplate in managing these cybersecurity risks. Our results show that governance solutions related to increasing online presence and customer outreach explained 52% of overall solutions contemplated by corporations to fight these cyber threats. The results also revealed that organizations ranked governance solutions associated with employee training, new increase cybersecurity measures, marketing campaigns, legal action, political advocacy, and reporting to external parties as the most adopted solutions to combat false or misleading information. Overall, our paper contributes to a growing disinformation, misinformation, and mal-information literature in business environments by providing empirical evidence on key governance solutions favored by corporations to combat misleading information. © The Author(s), under exclusive licence to Springer Nature Limited 2024.},

note = {Publisher: Springer Nature},

keywords = {C81, Cybersecurity risk, Disinformation, G34, Governance, K42, M15, Misinformation, Misleading information, Principal component analysis},

pubstate = {published},

tppubtype = {article}

}