Ivan Lang | Public Health | Best Researcher Award

Published on by Global Diseases Research

Best Researcher Award

       Ivan Lang
Affiliation Medical College of Wisconsin
Country United States
Scopus ID 7101847774
Documents 90
Citations 3,492
h-index 32
Subject Area Public Health
Event Global Diseases Research Awards
ORCID 0000-0002-5210-2258

Ivan Lang — Medical College of Wisconsin

Ivan Lang is presented in this academic recognition profile as a researcher affiliated with the Medical College of Wisconsin in the United States, with Public Health identified as the principal subject area. The supplied bibliometric record lists 90 documents, 3,492 citations, and an h-index of 32 in Scopus. [1]

Abstract

Ivan Lang is identified in the supplied academic profile as a Public Health researcher affiliated with the Medical College of Wisconsin, United States. The profile records a  90 documents, 3,492 citations, and an h-index of 32. An ORCID identifier is also provided for researcher disambiguation. These indicators describe a documented bibliometric profile rather than independently assessing research quality, societal influence, or award outcome. The profile is presented in connection with the Global Diseases Research Awards and the Best Researcher Award category, while recognition remains subject to the applicable evaluation process and category-specific criteria. [1] [2]

Keywords

Public Health; Medical Research; Health Sciences; Researcher Profile; Bibliometrics; Scopus; Research Impact; Scholarly Publications; Citation Analysis; h-index; ORCID; Medical College of Wisconsin; Global Diseases Research Awards; Best Researcher Award. [2]

Introduction

Public Health research encompasses scientific work addressing population health, disease prevention, health systems, epidemiology, and related determinants of health. Researcher profiles can provide structured information about scholarly output and citation activity. In this context, Ivan Lang is presented through supplied institutional and bibliometric information associated with Public Health research. [1]

Research Profile

The supplied profile associates Ivan Lang with the Medical College of Wisconsin and identifies Public Health as the principal subject area. The listed Scopus record contains reports 90 documents, 3,492 citations, and an h-index of 32. These figures represent bibliometric information supplied for this profile. [1]

Research Contributions

The available input identifies Public Health as Ivan Lang’s subject area but does not provide a verified list of specific research topics, study findings, collaborations, or methodological contributions. Accordingly, individual contributions are not attributed here without supporting publication-level evidence. Further assessment should rely on primary publications, institutional records, and indexed scholarly sources. [1] [2]

Publications

The supplied information reports 90 documents in the researcher’s Scopus profile. Because individual publication titles, journal names, publication years, and DOI identifiers were not supplied, no specific article or research finding is attributed in this section. The Scopus author record provides the appropriate source for reviewing indexed publications and associated bibliographic information. [3]

Research Impact

The supplied bibliometric record reports 3,492 citations and an h-index of 32 alongside 90 documents. Citation counts and h-index values are quantitative indicators of indexed scholarly activity, but they do not independently measure methodological quality, practical impact, societal benefit, or the significance of individual publications. Such interpretation requires broader evidence. [2]

Award Suitability

The profile is associated with the Best Researcher Award category of the Global Diseases Research Awards. The documented Public Health affiliation and supplied bibliometric indicators may form part of an academic recognition profile; however, suitability for an award depends on the published category criteria, submitted evidence, review procedures, and final evaluation. This page does not determine an award outcome. [4]

Conclusion

Ivan Lang’s supplied academic profile identifies an affiliation with the Medical College of Wisconsin and a research focus in Public Health. The associated Scopus information records 90 documents, 3,492 citations, and an h-index of 32. These data provide a concise bibliometric overview, while detailed scholarly assessment requires examination of publications and research context. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Ivan Lang, Author ID 7101847774. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7101847774
  2. ORCID. (n.d.). Ivan Lang, ORCID iD 0000-0002-5210-2258. ORCID.
    https://orcid.org/0000-0002-5210-2258
  3. Global Diseases Research Awards. (n.d.). Global Diseases Research Awards.
    https://globaldiseases.org/
  4. Lang, I. M., Medda, B. K., Edeani, F., & Shaker, R. (2025). The pharyngeal phase of swallowing controls deglutitive inhibition. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.
    https://doi.org/10.1152/ajpregu.00136.2025
  5. Lang, I. M., Medda, B. K., & Shaker, R. (2024). Biomechanical increase in cervical esophageal wall tension during peristalsis. American Journal of Physiology-Gastrointestinal and Liver Physiology.
    https://doi.org/10.1152/ajpgi.00049.2024

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/

 

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.