Abdallah Alwawi | AI in Healthcare | Editorial Board Member

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Assist. Prof. Dr. Abdallah Alwawi | AI in Healthcare | Editorial Board Member

Al-Quds University | Palestine, State of

Assist. Prof. Dr. Abdallah Alwawi is a nursing education researcher at Al-Quds University whose work centers on palliative care education, trauma care training, simulation-based learning, and the integration of artificial intelligence in nursing education. His research emphasizes improving nursing students’ knowledge, attitudes, self-confidence, and clinical competence, particularly in sensitive areas such as end-of-life care and trauma management. He has contributed to evidence-based evaluation of educational interventions, including simulation modalities and primary trauma care courses, with a focus on healthcare education in the Palestinian context. More recently, his work explores nursing students’ perceptions, knowledge, and practices regarding generative AI technologies such as ChatGPT, highlighting the evolving role of digital innovation in health professions education. His research supports curriculum development, pedagogical reform, and policy-informed educational strategies in nursing and allied health sciences.

Profile: Google Scholar

Featured Publications

Alwawi, A. A., Abu-Odah, H., & Bayuo, J. (2022). Palliative care knowledge and attitudes towards end-of-life care among undergraduate nursing students at Al-Quds University: Implications for Palestinian education. International Journal of Environmental Research and Public Health, 19(15), 9563.
Citations: 41
Year: 2022

Salama, N., Bsharat, R., Alwawi, A., & Khlaif, Z. N. (2025). Knowledge, attitudes, and practices toward AI technology (ChatGPT) among nursing students at Palestinian universities. BMC Nursing, 24(1), 269.
Citations: 19
Year: 2025

Alwawi, A., Amro, N., & Inkaya, B. (2019). The effectiveness of the primary trauma care courses in West Bank, Palestine: Are the outcomes acceptable? Journal of Education and Practice.
Citations: 10
Year: 2019

Khlaif, Z. N., Salameh, N., Ajouz, M., Mousa, A., Itmazi, J., Alwawi, A., & Alkaissi, A. (2025). Using generative AI in nursing education: Students’ perceptions. BMC Medical Education, 25(1), 926.
Citations: 9
Year: 2025

Alwawi, A., & Inkaya, B. (2023). The effect of two different simulation modalities in palliative care teaching on nursing students’ knowledge, satisfaction, self-confidence, and skills: A randomized controlled trial. CIN: Computers, Informatics, Nursing, 41(4), 246–257.
Citations: 9
Year: 2023

Dr. Farnaz Farid | Healthcare industry | Best Researcher Award

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Dr. Farnaz Farid | Healthcare industry | Best Researcher Award

Multidisciplinary Researcher, Western Sydney University, Australia

Dr. Farnaz Farid is a distinguished and multidisciplinary researcher whose academic journey and professional experience span industry and academia, combining expertise in artificial intelligence, cybersecurity, human-centered systems, and applied computing. She holds a Doctor of Philosophy (PhD) degree from Western Sydney University, where her doctoral research focused on computational modeling, AI-driven predictive systems, and network quality of service frameworks; she also earned earlier degrees in engineering and computing from reputable institutions that shaped her foundation in IT, networks, and systems. Over the years, Dr. Farnaz Farid has served in both industry and academic roles: prior to joining academia, she worked at IBM as an IT Specialist, Application Developer, and Project Manager, contributing to enterprise integration, software development, and digital innovation; subsequently, she entered academia as an Associate Lecturer at the University of Sydney and then moved to Western Sydney University, where she is now a Senior Lecturer and Academic Program Advisor, co-leading global initiatives such as “Realising Digital Futures.” Her professional experience includes overseeing cross-disciplinary projects in AI, cybersecurity, IoT, and smart systems, mentoring postgraduate researchers, guiding curriculum development, and fostering partnerships with industry and community stakeholders. Her research interests encompass explainable AI, human-centred security, AI for healthcare, cyber‐physical systems, distributed networks, federated learning, and digital inclusion. Dr. Farid has received a number of awards and honors, such as the Google exploreCSR grant over multiple years to lead community‐based AI projects, the DVC Education Excellence in Teaching (Partnerships) award at her university, and the Teaching and Learning for Public Good Award in Social Sciences, all of which attest to her excellence in teaching, public engagement, and socially impactful research. Through her editorial service (for journals such as Symmetry and Sustainability), membership in the Asian Council of Science Editors (ACSE), and leadership of cross‐disciplinary grants, she has also contributed to the scientific community.

Profile: GOOGLE SCHOLAR  | SCOPUS | ORCID

Featured Publications

  • Farid, F. (2025). An explainable predictive model for the detection of mental health conditions in the workplace. (citation count: 13)

  • Farid, F. (2025). A threat analysis framework for cyberattacks in smart cities: ransomware in focus. (citation count: 24)

  • Dong, H., & Farid, F. (2024). A deep learning based patient care application for skin cancer detection.

  • Farid, F., & colleagues. (2024). AI technologies in reducing hospital readmission for chronic diseases: a recommended framework.

  • Lai, T., & Farid, F. (2024). Ensemble learning for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis.