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/

 

Daniel Lopez-Hernandez | Public Health | Research Excellence Award

Published on by Global Diseases Research

Dr. Daniel Lopez-Hernandez | Public Health | Research Excellence Award

Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado | Mexico

Dr. Daniel López-Hernández is a researcher affiliated with the Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico, with expertise rooted in applied medical and health sciences that support evidence-based public health and clinical practice. He has authored 16 peer-reviewed publications, which together have received 361 citations, reflecting the relevance and visibility of his work within the scientific community. With an h-index of 7, his research demonstrates consistent scholarly impact and influence. Dr. López-Hernández has collaborated with over 40 co-authors, highlighting strong interdisciplinary and international research engagement. His contributions address real-world health challenges, strengthening healthcare delivery systems and informing policy and clinical decision-making. Through sustained research productivity and collaboration, his work contributes to improving health outcomes and advancing medical knowledge with tangible societal benefit.

Citation Metrics (Scopus Preview)

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Top 5 Featured Publications

Monica Bhutani | Public Health | Editorial Board Member

Published on by Global Diseases Research

Dr. Monica Bhutani | Public Health | Editorial Board Member

Associate Professor | Bharati Vidyapeeth’s College of Engineering | India

Dr. Monica Bhutani is a distinguished researcher and academician at Bharati Vidyapeeth’s College of Engineering, New Delhi, India, recognized for her extensive contributions to computer science, information technology, and interdisciplinary innovations in artificial intelligence (AI), Internet of Things (IoT), and secure computing. With over 52 publications and 108 citations across 77 documents, her research demonstrates a strong commitment to advancing digital intelligence frameworks, data security architectures, and sustainable technological systems. Her recent works, including studies on AI-IoT convergence for sustainable agriculture, information dissemination networks, and secure image encryption using optimized chaotic sequences, highlight her focus on developing smart, energy-efficient, and cyber-resilient systems that address modern digital and environmental challenges. Dr. Bhutani’s scholarly collaborations with over 140 co-authors worldwide reflect her global engagement and interdisciplinary outlook, fostering impactful research networks across academia and industry. Her authorship of the book “Development and Management of Eco-Conscious IoT Medical Devices” further underscores her vision for integrating technology with environmental and healthcare sustainability. With an h-index of 6, she has consistently contributed to the global dialogue on intelligent systems design, information security, and digital transformation. Dr. Bhutani’s academic and research pursuits exemplify excellence in engineering education and innovation, bridging scientific theory with practical solutions that enhance societal well-being through technology-driven sustainability, secure communication systems, and data-driven decision-making.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Bhutani, M., Lall, B., & Agrawal, M. (2022). Optical wireless communications: Research challenges for MAC layer. IEEE Access, 10, 126969–126989. Cited by: 30

2. Goyal, R., Elawadhi, O., Sharma, A., Bhutani, M., & Jain, A. (2024). Cloud-connected central unit for traffic control: Interfacing sensing units and centralized control for efficient traffic management. International Journal of Information Technology, 16(2), 841–851. Cited by: 18

3. Bhutani, M., Lall, B., & Dixit, A. (2021). MAC layer performance modelling for IEEE 802.15.7 based on discrete-time Markov chain. IET Communications, 15(14), 1883–1896. Cited by: 14

4. Dr. Karthick Ganesan, D. M. B., Radhakrishnan, K., Manohar, K., & Bhutani, M. (2024). Automated dairy cow health monitoring and milking machine. US Patent 6,382,814. Cited by: 13*

5. Bhutani, M., Lall, B., & Agrawal, M. (2023). A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks. Peer-to-Peer Networking and Applications, 16(6), 3021–3031. Cited by: 10

Prince Kyere Dwaah | Public Health | Best Epidemiological Research Award

Published on by Global Diseases Research

Mr. Prince Kyere Dwaah | Public Health | Best Epidemiological Research Award

Assistant Veterinary Technologist | Akenten Appiah Menka University of Skills Training and Entrepreneurial Development | Ghana

Mr. Prince Kyere Dwaah is an emerging public health researcher and MPhil student at the Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED), Ghana. With a background bridging public, animal, and community health, his work demonstrates a strong commitment to advancing zoonotic disease control and health education in underserved populations. His research contributions span clinical case documentation, community-based intervention studies, and immunological insights into host-pathogen interactions. Notably, his case report on a Suspected Outbreak of Sheep Pox in Techiman, Ghana underscores his engagement in veterinary epidemiology and rapid field response, while his study on The Role of Community-based Rabies Education in Promoting Preventive Health Behaviors highlights his focus on integrating health literacy into public health strategy. Through such works, Dwaah has fostered interdisciplinary collaborations across veterinary and public health sectors, contributing to the understanding of disease prevention and behavioral change communication. His interest in parasitic immunology, as reflected in his work on host defense mechanisms against worm infections, reveals his scientific curiosity and broader concern for global infectious disease challenges. With a growing body of publications in peer-reviewed journals and citations reflecting his emerging influence, he aspires to strengthen disease surveillance systems, improve health awareness, and promote sustainable health practices in sub-Saharan Africa. His scholarly endeavors embody the intersection of research, education, and community engagement, aligning with global goals for equitable and preventive healthcare.

Profiles: Google Scholar | ORCID

Featured Publications

1. Dwaah, P. K., Awua-Boateng, N. Y. A., Osei-Tutu, A., Akwei, M., & others. (2025). Suspected outbreak of sheep pox in Techiman, Ghana: A case report. Clinical Images and Medical Case Reports, 2(1), 1–3.

2. Dwaah, P. K., Ahmed, M., Amissah, P., Oppong, F. S., Lumor, P., Edze, P., & Sayibu, I. (2024). The role of community-based rabies education in promoting preventive health behaviors in Techiman: A case study on rabies sensitization. Journal of Health Education Research & Development, 12(5).

3. Dwaah, P. K., & Oppong, F. S. (n.d.). Unveiling host defense networks: Worm resistance mechanisms and mechanisms by which hosts resist worm infections

Through his research on zoonotic diseases and community-based health education, Dwaah Prince Kyere advances public health awareness and preventive strategies in Ghana. His work bridges veterinary science and human health, fostering resilient communities and contributing to global One Health initiatives.