Haleh Ayatollahi | Public Health Informatics | Research Excellence Award

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Dr. Haleh Ayatollahi | Public Health Informatics | Research Excellence Award

Iran University of Medical Sciences | Iran

Haleh Ayatollahi is a Professor of Medical Informatics with extensive experience in health information management, digital health, and health technology assessment. She holds a PhD in Health Informatics from the University of Sheffield (UK), an MSc and BSc in Medical Records from Iran University of Medical Sciences, and an associate degree in the same field. She has held several senior academic and executive roles, including Director of the Deputy of Research and Technology at both the School of Health Management and Information Sciences and the Health Management and Economics Research Centre, and membership on the Medical Informatics Evaluation and Examination Board. Her academic career spans teaching, research leadership, postgraduate administration, and international collaboration. Her research focuses on telemedicine, mobile health, clinical decision support systems, artificial intelligence in healthcare, digital health evaluation, health information systems, patient safety, and technology adoption, with strong contributions to policy briefs and global health studies, including the Global Burden of Disease projects. She has authored 108 peer-reviewed documents with 6,293 citations across 5,499 citing documents and an h-index of 21, reflecting sustained scholarly impact. She has contributed to high-impact journals such as The Lancet, BMC series, Digital Health, and PLOS ONE, and has received multiple academic and research recognitions for excellence in education, research productivity, and leadership in medical informatics.

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Featured Publications


Clinicians’ Knowledge and Perception of Telemedicine Technology

– Perspectives in Health Information Management, 2015

Rasha Fouad | Healthcare Data Analysis | Research Excellence Award

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Assist. Prof. Dr. Rasha Fouad | Healthcare Data Analysis | Research Excellence Award

 Kind Saud Bin Abdulaziz University for Health Sciences | Saudi Arabia

Prof. Dr. Rasha Fouad is a distinguished nursing scholar with a PhD in Nursing, specializing in community and gerontological health nursing. She earned her Bachelor’s, Master’s, and Doctorate degrees from Alexandria University. With over 29 years of professional experience, she has held key academic and leadership roles, including Professor of Gerontological Nursing, Head of Gerontological Nursing Department, Vice Dean for Community Service and Environmental Development, and Acting Dean. She has also contributed internationally as an Assistant Professor in Jordan and Saudi Arabia. Prof. Fouad has taught a wide range of courses at undergraduate and postgraduate levels, including gerontological nursing, psychosocial aspects of aging, nursing administration, community health, and research methodology. Her research interests focus on gerontological nursing, psychosocial well-being of older adults, community health, and nursing education. She is an active reviewer for several international journals and has conducted numerous workshops on research methods, academic enhancement, and simulation-based learning. Her dedication to advancing nursing education and research has earned her recognition for excellence, inspiring future generations of nursing professionals through her teaching, mentorship, and scholarly contributions.

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Zitong Gao | Big data Integration | Research Excellence Award

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Ms. Zitong Gao | Big data Integration | Research Excellence Award

Dalian University | China

Ms. Zitong Gao is a dedicated nursing graduate student specializing in quantitative research methodologies within the field of chronic disease management. Building on a Bachelor of Science in Nursing and currently pursuing a Master of Science in Nursing at Dalian University, she has developed a strong academic foundation in nursing theories, advanced health assessment, geriatric nursing, and evidence-based practice. Her research experience includes participating in quantitative studies, collecting and analyzing data, and contributing to the development of academic manuscripts. In addition to her research background, she completed a comprehensive clinical internship at a university-affiliated hospital, where she gained hands-on experience in internal medicine, surgery, and holistic patient care through assessment, care planning, implementation, and evaluation. Skilled in statistical software such as SPSS, Mplus, Excel, and Stata, she integrates data-driven approaches into her research work. Her professional interests focus on improving patient outcomes, chronic disease self-management, gerontological nursing, and advancing nursing practice through rigorous quantitative inquiry. She has earned her nurse qualification certificate, demonstrating a solid commitment to professional standards in clinical care. With a strong blend of academic training, research competence, and clinical experience, she aims to contribute meaningfully to nursing science and patient-centered healthcare advancements.

Profile : Orcid

Featured Publication

Latent transition of social participation and its relationship with frailty among older adults with chronic non-communicable diseases in China: A national longitudinal study, 2025

Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

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Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.