Mahdi Seify | Public Health | Innovative Research Award

Published on by Global Diseases Research

Innovative Research Award

Mahdi Seify
Affiliation University of Northampton
Country United Kingdom
Scopus ID 58026194200
Documents 3
Citations 26
h-index 2
Subject Area Public Health
Event Global Diseases Research Awards

Mahdi Seify is a researcher and academic affiliated with the University of Northampton in the United Kingdom. His documented work connects artificial intelligence, analytics, healthcare applications, project management, and information systems. His research record includes peer-reviewed healthcare analytics research and a 2026 Elsevier chapter concerning artificial intelligence and brain tumour detection.[2]

Abstract

Mahdi Seify is an academic researcher associated with the University of Northampton whose work intersects artificial intelligence, business analytics, healthcare, information systems, and project management. His documented research includes analytical methods for understanding patient experience and general practitioner classification, alongside more recent work applying artificial intelligence and machine learning to biomedical diagnosis. His institutional profile identifies research interests in AI-enhanced management control systems, predictive analytics, AI governance, workflow orchestration, human-in-the-loop automation, and digital technologies. His publication record includes peer-reviewed healthcare research and an Elsevier book chapter addressing AI-assisted brain tumour detection, providing a multidisciplinary basis for recognition within an innovative research context.[2]

Keywords

Mahdi Seify; public health; artificial intelligence; business analytics; healthcare analytics; predictive analytics; machine learning; patient experience; biomedical research; brain tumour detection; AI governance; information systems; innovative research; University of Northampton; Global Diseases Research Awards.[1]

Introduction

Mahdi Seify serves at the University of Northampton, where institutional information identifies him as a Senior Lecturer in Project Management and Business Analytics. His academic activities span analytics, systems thinking, digital transformation, and applied research. His documented healthcare research demonstrates collaboration across business systems, operations, and public-health-oriented applications.[3]

Research Profile

Seify’s institutional research profile describes interests including AI-enhanced management control systems, predictive and causal modelling, AI readiness and governance, workflow orchestration, and human-in-the-loop automation. The Institute of Analytics separately describes his work across artificial intelligence, data analytics, business strategy, predictive analytics, Internet of Things technologies, and system dynamics.[2]

Research Contributions

His documented contributions include healthcare-oriented sentiment analysis, analytical classification of general practitioner feedback, and applications of artificial intelligence to biomedical research. Institutional descriptions also identify predictive analytics, AI governance, and digital technologies as continuing research themes. These areas demonstrate an interdisciplinary connection between computational methods, organisational systems, and healthcare applications.[2]

Publications

Seify’s documented publications include research on patient experience and healthcare classification, as well as a recent Elsevier chapter addressing artificial intelligence and machine learning in brain tumour detection. His institutional profile also records earlier works concerning fraud detection, supply-chain machine learning, information security, and emergency response systems. [3]

Research Impact

The supplied research metrics record three documents, 26 citations, and an h-index of 2 for the specified Scopus profile. These figures describe bibliometric activity associated with the supplied author identifier and should be interpreted according to the coverage and updating practices of Scopus. They provide quantitative context rather than a comprehensive assessment of research quality.[1]

Award Suitability

For an Innovative Research Award profile, Seify’s documented work provides several relevant areas for consideration, including healthcare analytics, artificial intelligence, machine learning, and biomedical applications. His 2023 healthcare study and 2026 Elsevier chapter demonstrate research activity connecting computational approaches with health-related problems. Final award assessment remains subject to the event’s stated review criteria.[4]

Conclusion

Mahdi Seify’s documented academic profile combines artificial intelligence, analytics, healthcare applications, and information systems. His publications demonstrate research addressing patient experience and biomedical diagnosis, while institutional profiles identify broader interests in predictive analytics and responsible AI. The supplied bibliometric information provides additional quantitative context for this academic recognition profile.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mahdi Seify, Author ID 58026194200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58026194200
  2. Pandey, A. R., Seify, M., Okonta, U., & Hosseinian-Far, A. (2023). Advanced Sentiment Analysis for Managing and Improving Patient Experience: Application for General Practitioner (GP) Classification in Northamptonshire. International Journal of Environmental Research and Public Health, 20(12), 6119.
    https://doi.org/10.3390/ijerph20126119
  3. Seify, M., Jalali Moghaddam, M., Sarwar, D., Hansani, W. K., Thiwanthika, K. P. D., Frahmand, A., Osadugba, T., Dang, T. D., Ghashami, H., & Hosseinian Far, A. (2026). Revolutionising Brain Tumour Detection: Integrating AI and Machine Learning for Enhanced Diagnostic Accuracy and Healthcare Efficiency. In Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare. Elsevier.
    https://doi.org/10.1016/B978-0-443-40379-8.00009-0
  4. Global Diseases Research Awards. (n.d.). Global Diseases Research Awards official website.
    https://globaldiseases.org/

 

Audrey Roulston | Public Health | Innovative Research Award

Published on by Global Diseases Research

Innovative Research Award

Audrey Roulston
Queen’s University Belfast

                     Audrey Roulston
Affiliation Queen’s University Belfast
Country United Kingdom
Scopus ID 55344838000
Documents 48
Citations 848
h-index 15
Subject Area Public Health
Event Global Diseases Research Awards
ORCID 0000-0002-7446-6116

Audrey Roulston is a public health researcher affiliated with Queen’s University Belfast, United Kingdom. Her research activities contribute to advancing knowledge in public health through scholarly investigations, evidence-based approaches, and interdisciplinary collaboration. Her academic profile reflects contributions through peer-reviewed publications, research outputs, and engagement with contemporary health-related challenges. [1]

Abstract

Audrey Roulston’s research profile represents academic contributions within the field of public health, focusing on evidence generation, healthcare improvement, and population-level research approaches. Her scholarly work demonstrates engagement with contemporary health issues through systematic investigation, collaboration, and dissemination of findings. Her recognition through the Innovative Research Award highlights her contribution to advancing research practices and supporting scientific development within public health disciplines. [1]

Keywords

Public Health, Health Research, Evidence-Based Research and Research Innovation

Introduction

Public health research plays a significant role in understanding health determinants, improving healthcare systems, and developing effective interventions. Researchers working in this field contribute through population studies, policy-oriented research, and evidence-based solutions. Audrey Roulston’s academic activities align with these objectives through contributions to public health scholarship and research communication. [1]

Research Profile

Audrey Roulston is associated with Queen’s University Belfast and has established a research profile within public health. According to indexed academic records, she has contributed 48 research documents with 848 citations and an h-index of 15, reflecting scholarly engagement and research visibility. [2]

Research Contributions

Her research contributions involve the development and application of public health knowledge through academic studies and collaborative research activities. Such contributions support improved understanding of healthcare challenges and provide evidence that may inform future research directions and public health strategies. [2]

Publications

Audrey Roulston’s publication record demonstrates participation in scholarly communication through peer-reviewed research outputs. Her publications contribute to discussions within public health and related research areas, supporting knowledge exchange among researchers, practitioners, and academic institutions. [3]

Research Impact

Research impact can be evaluated through publication activity, citation performance, academic collaboration, and contribution to scientific knowledge. Audrey Roulston’s citation record and h-index indicate measurable recognition within academic databases and demonstrate continued engagement with the research community. [4]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating meaningful contributions, research excellence, and scientific advancement. Audrey Roulston’s academic record, public health focus, and research contributions align with the objectives of recognizing innovative approaches in global scientific research. [2]

Conclusion

Audrey Roulston represents an active contributor to public health research through scholarly publications, academic engagement, and research achievements. Her recognition with the Innovative Research Award reflects appreciation of her contributions toward advancing knowledge and supporting research excellence within the global scientific community. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Audrey Roulston, Author ID 55344838000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55344838000
  2. Global Diseases Research Awards. (n.d.). Innovative Research Award Recognition.
    https://globaldiseases.org/
  3. Roulston, A., Mackle, D., Ross, J., Montgomery, L., MacDermott, D., Boyle, S., McFadden, P., & Hayes, D. (2026). Promoting staff retention in social work: Identifying the ‘push’ and the ‘pull’ factors from the perspective of newly qualified social workers. The British Journal of Social Work, 56(4), 1399–1419.
    https://doi.org/10.1093/bjsw/bcaf152

  4. McIlfatrick, S., Hasson, F., McLaughlin, D., Johnston, G., Roulston, A., Rutherford, L., Noble, H., Kelly, S., Craig, A., & Kernohan, W. G. (2013). Public awareness and attitudes toward palliative care in Northern Ireland. BMC Palliative Care, 12, Article 34. https://doi.org/10.1186/1472-684X-12-34

  5. McIlfatrick, S., Noble, H., McCorry, N. K., Roulston, A., Hasson, F., McLaughlin, D., Johnston, G., Rutherford, L., Payne, C., Kernohan, G., Kelly, S., & Craig, A. (2014). Exploring public awareness and perceptions of palliative care: A qualitative study. Palliative Medicine, 28(3), 273–280.
    https://doi.org/10.1177/0269216313502372