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/

 

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

Njeumi Felix | Epidemiology | Excellence in Research Award

Published on by Global Diseases Research

Excellence in Research Award

Njeumi Felix
Food and Agriculture Organization of the United Nations
Academic Profile
Affiliation Food and Agriculture Organization of the United Nations
Country Italy
Scopus ID 6506444570
Documents 32
Citations 633
h-index 13
Subject Area Epidemiology
Event Global Diseases Research Awards

Njeumi Felix is an epidemiology researcher and international scientific coordinator associated with the Food and Agriculture Organization of the United Nations. His academic and professional activities are primarily connected to infectious disease surveillance, transboundary animal disease control, and global veterinary public health initiatives. His scholarly work reflects contributions to disease eradication programs, epidemiological assessment methodologies, and collaborative international research activities addressing livestock health management and sustainable agricultural development.[1][2]

Abstract

This academic recognition article provides a scholarly overview of Njeumi Felix and his contributions to epidemiology and infectious disease research. His professional activities include research coordination, epidemiological investigations, and participation in global veterinary health initiatives. His scientific work contributes to disease surveillance systems, veterinary public health frameworks, and collaborative international efforts addressing transboundary animal diseases and livestock health management.[1][3]

Keywords

Epidemiology; Veterinary Science; Infectious Diseases; Disease Surveillance; Peste des Petits Ruminants; Global Disease Eradication; Animal Health; Veterinary Public Health; Transboundary Diseases; International Research Collaboration.

Introduction

Epidemiological research plays a significant role in understanding infectious disease transmission and strengthening international disease prevention systems. Veterinary public health initiatives have become increasingly important due to the global impact of transboundary animal diseases on agricultural economies, livestock productivity, and food security. Njeumi Felix has contributed to these scientific and institutional efforts through research coordination, disease surveillance activities, and international collaborative programs.[2]

Research Profile

The research profile of Njeumi Felix reflects scholarly engagement in epidemiology, disease surveillance, and veterinary health management. His Scopus-indexed publication record includes research articles related to infectious disease risk analysis, surveillance strategies, vaccine assessment methodologies, and global disease control initiatives.[1]

Research Contributions

Njeumi Felix has contributed to research associated with Peste des Petits Ruminants and related transboundary animal diseases. His scientific involvement includes epidemiological modeling, disease risk mapping, surveillance frameworks, and international disease eradication planning activities.[3]

Publications

Selected scientific publications associated with Njeumi Felix include studies addressing epidemiological surveillance, disease risk analysis, vaccine evaluation, and transboundary disease management strategies.[3][4]

Research Impact

The scholarly impact of Njeumi Felix is reflected through citation metrics, collaborative publications, and continued participation in global disease research initiatives. His Scopus profile indicates a significant citation record and measurable academic influence within epidemiology and veterinary science research communities.[1]

Award Suitability

Njeumi Felix demonstrates suitability for recognition within the Global Diseases Research Awards due to his sustained contributions to epidemiology, veterinary public health, and infectious disease research. His scholarly activities reflect international collaboration, scientific productivity, and engagement with disease eradication initiatives relevant to global health priorities.[5]

Conclusion

Njeumi Felix has contributed to the advancement of epidemiological research and international veterinary health initiatives through collaborative scientific work and institutional engagement. His academic profile demonstrates ongoing involvement in disease surveillance, infectious disease management, and evidence-based veterinary public health strategies. The impact of his research supports recognition within scholarly platforms dedicated to global disease research and epidemiological studies.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Njeumi Felix, Author ID 6506444570. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6506444570
  2. Food and Agriculture Organization of the United Nations. (n.d.). Global animal health and disease control initiatives. FAO.
    https://www.fao.org/
  3. Arede, M., Beltrán-Alcrudo, D., Benfield, C., Casal, J., & Njeumi, F. (2024). Risk mapping of Peste des Petits Ruminants virus spread in nine countries surrounding the Black Sea: a spatial multicriteria decision analysis approach. Frontiers in Veterinary Science.
    https://doi.org/10.3389/fvets.2026.1783624
  4. Bodjo, C. S., et al. (2023). Peste des Petits Ruminants Vaccine: Criteria for Assessing Its Thermotolerance. Viruses.
    https://doi.org/10.3390/v17091151
  5. Global Diseases Research Awards. (n.d.). International academic recognition and disease research initiatives.
    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)

361
270
180
`16
0

Citations

361

Documents

16

h-index

7

Citations

Documents

h-index

Note: h-index details are disabled in Scopus Preview mode.

View Scopus Profile   View Google Scholar Profile
Top 5 Featured Publications

Jin Hu | Public Health | Excellence in One Health Research

Published on by Global Diseases Research

Dr. Jin Hu | Public Health | Excellence in One Health Research 

Tsinghua School of Medicine | China

Dr. Jin Hu is an Associate Professor at the Tsinghua School of Medicine, Beijing, China, with established expertise in biomedical and translational medical research. The author has published 14 peer-reviewed documents indexed in Scopus, receiving 985 citations and achieving an h-index of 12, reflecting consistent scholarly impact. Research contributions are recognized internationally through collaboration with 36 co-authors across interdisciplinary teams, supporting innovation in medical science and evidence-based healthcare. Hu Jin’s work advances scientific understanding with practical relevance, contributing to improved research capacity, knowledge dissemination, and long-term societal benefits in health and medicine at both national and global levels.

Citation Metrics (Scopus)

985
740
500
250
0

Citations

985

Documents

14

h-index

12

Citations

Documents

h-index

View Scopus Profile

Top 5  Featured Publications

Fangfang Tao | Chikungunya Virus | Best Researcher Award

Published on by Global Diseases Research

Prof. Dr. Fangfang Tao | Chikungunya Virus | Best Researcher Award 

Zhejiang Chinese Medical University | China

Prof. Dr. Fangfang Tao is a dedicated researcher at Zhejiang Chinese Medical University whose work spans integrative medicine, public health, and translational biomedical science. With a portfolio of 35 peer-reviewed publications and over 380 citations, Dr. Tao has established a growing scholarly presence supported by an h-index of 11, reflecting consistent influence and research quality. Her contributions often integrate traditional Chinese medical principles with modern clinical and epidemiological approaches, advancing evidence-based understanding of disease mechanisms, therapeutic strategies, and patient-centered health outcomes. Dr. Tao’s collaborative record is extensive, with partnerships involving more than 100 co-authors across national and international institutions, demonstrating her commitment to interdisciplinary inquiry and global scientific engagement. Her work contributes meaningfully to emerging health challenges by prioritizing rigorous methodology, culturally relevant medical insights, and innovative therapeutic frameworks. Through her research, Dr. Tao aims to bridge traditional medical knowledge with contemporary biomedical science to enhance clinical practice, inform health policy, and promote accessible, effective care. Her scholarly achievements underscore not only a strong trajectory in academic research but also a broader societal impact, as her studies support improved diagnostic approaches, better-targeted interventions, and enhanced patient well-being across diverse populations.

Profiles: Scopus | Google Scholar

Featured Publications

1. Niu, N., Zhang, J., Zhang, N., Mercado-Uribe, I., Tao, F., Han, Z., Pathak, S., … (2016). Linking genomic reorganization to tumor initiation via the giant cell cycle. Oncogenesis, 5(12), e281.
Cited by: 169

2. Tao, F., Tian, X., Ruan, S., Shen, M., & Zhang, Z. (2018). miR‐211 sponges lncRNA MALAT1 to suppress tumor growth and progression through inhibiting PHF19 in ovarian carcinoma. The FASEB Journal, 32(11), 6330–6343.
Cited by: 92

3. Tao, F., Tian, X., Lu, M., & Zhang, Z. (2018). A novel lncRNA, Lnc-OC1, promotes ovarian cancer cell proliferation and migration by sponging miR-34a and miR-34c. Journal of Genetics and Genomics, 45(3), 137–145.
Cited by: 59

4. Tian, X., Tao, F., Zhang, B., Dong, J. T., & Zhang, Z. (2018). The miR‐203/SNAI2 axis regulates prostate tumor growth, migration, angiogenesis and stemness potentially by modulating GSK‐3β/β-catenin signal pathway. IUBMB Life, 70(3), 224–236.
Cited by: 42

5. Jiang, X., Cui, X., Xu, H., Liu, W., Tao, F., Shao, T., Pan, X., & Zheng, B. (2019). Whole genome sequencing of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli isolated from a wastewater treatment plant in China. Frontiers in Microbiology, 10, 1797.
Cited by: 34

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

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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.

Lianfen Qian | Pandemic Preparedness | Best Researcher Award

Published on by Global Diseases Research
United States

Prof. Lianfen Qian | Pandemic Preparedness | Best Researcher Award

Professor | The University of Arizona | United States

Dr. Lianfen Qian is a distinguished biostatistician and Professor of Practice at the University of Arizona, with extensive expertise in developing and applying statistical methodologies to biomedical, environmental, and genomic research. She earned her B.S. and M.S. in Mathematics and Statistics from Zhejiang University, China, and her Ph.D. in Statistics from Michigan State University. Dr. Qian’s research focuses on survival analysis, longitudinal data modeling, semi-competing risks, and structural change detection. Her work has been widely published in leading journals such as Biometrika, Computational Statistics & Data Analysis, and Frontiers in Cellular and Infection Microbiology. A seasoned educator and mentor, she has guided numerous Ph.D. and M.S. students, with one of her mentees earning first place in the 2015 ASA/CAUSE Undergraduate Research Project Competition. She has also served in leadership roles for the American Statistical Association’s South Florida Chapter and contributed as an NSF panelist. Dr. Qian’s career includes academic appointments at Florida Atlantic University and Lynn University, along with her leadership of Mathematics and Data Science, LLC. Her numerous honors include the ASA Award for Outstanding Chapter Service, NSF travel and research awards, and recognition in Who’s Who in America. She has collaborated on research projects funded by the NSF, NCI, and DoD, and continues to contribute to advancing data-driven research and interdisciplinary science. (Document: Lianfen Qian,

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Heilmayer, O., Digialleonardo, J., Qian, L., & Roesijadi, G. (2008). Stress tolerance of a subtropical Crassostrea virginica population to the combined effects of temperature and salinity. Estuarine, Coastal and Shelf Science, 79(1), 179–185. Cited by 100.

2. Wang, S., Qian, L., & Carroll, R. J. (2010). Generalized empirical likelihood methods for analyzing longitudinal data. Biometrika, 97(1), 79–93. Cited by 78.

3. Koul, H. L., Qian, L., & Surgailis, D. (2003). Asymptotics of M-estimators in two-phase linear regression models. Stochastic Processes and Their Applications, 103(1), 123–154. Cited by 72.

4. Gan, W., Bragg, F., Walters, R. G., Millwood, I. Y., Lin, K., Chen, Y., Guo, Y., … (2019). Genetic predisposition to type 2 diabetes and risk of subclinical atherosclerosis and cardiovascular diseases among 160,000 Chinese adults. Diabetes, 68(11), 2155–2164. Cited by 71.

5. Xu, Y., Chen, B., Qian, W., & Li, H. (2013). Properties of pure n-butylammonium nitrate ionic liquid and its binary mixtures with alcohols at T = 293.15 to 313.15 K. The Journal of Chemical Thermodynamics, 58, 449–459. Cited by 70.