Innovative Research Award
Suraj Upadhyaya
Midwestern University
Suraj Upadhyaya affiliated with Midwestern University, United States, is recognized for scholarly contributions in Public Health Analytics. His published research emphasizes evidence-based analytical approaches, health data interpretation, and quantitative methodologies that support informed public health decision-making. The Innovative Research Award acknowledges sustained academic productivity, measurable citation impact, and continued engagement with data-driven healthcare research.[1]
Abstract
The Innovative Research Award recognizes scholarly excellence demonstrated through impactful publications, citation performance, and contributions to public health analytics. Suraj Upadhyaya’s academic work reflects the application of statistical methods and analytical frameworks to health-related datasets, supporting improved evidence generation and informed policy discussions. His documented research output and citation record illustrate a growing influence within interdisciplinary public health research.[2]
Keywords
Public Health Analytics, Data Analysis, Epidemiology, Biostatistics, Health Informatics, Evidence-Based Medicine, Population Health, Statistical Modelling.
Introduction
Modern public health increasingly relies on robust analytical techniques to transform complex datasets into meaningful scientific knowledge. Researchers working in this discipline contribute to healthcare planning, disease surveillance, and outcome evaluation through rigorous statistical investigation. Recognition through academic awards encourages continued innovation while highlighting research that strengthens scientific understanding and evidence-based practice.[3]
Research Profile
Suraj Upadhyaya has authored six indexed scholarly documents and accumulated 56 citations with an h-index of 3. His research profile reflects active participation in public health analytics, emphasizing quantitative analysis, healthcare outcomes, and interdisciplinary collaboration. These metrics demonstrate sustained engagement with scientific publishing and knowledge dissemination.[1]
Research Contributions
Demonstrated expertise in applying advanced statistical methods to healthcare research, contributing to robust evidence-based public health investigations and data-driven decision-making. Skilled in analyzing and interpreting complex health datasets to uncover meaningful patterns, evaluate healthcare outcomes, and support the development of effective public health strategies.
Publications
The research portfolio includes peer-reviewed publications indexed in international scholarly databases. Representative studies incorporate quantitative methodologies and reproducible analytical practices.[4]
Research Impact
Citation indicators and indexed publications demonstrate that the research has contributed to ongoing academic discussions. The work supports transparent analysis, reproducibility, and informed interpretation of healthcare evidence while encouraging continued collaboration across clinical and public health disciplines.
Award Suitability
The combination of indexed publications, citation performance, and continued research activity supports consideration for the Innovative Research Award presented at the Research Data Analysis Awards. The recognition aligns with demonstrated commitment to analytical excellence and responsible scientific contribution within public health analytics.
Conclusion
Suraj Upadhyaya’s academic profile illustrates a consistent commitment to evidence-based research, quantitative analysis, and scholarly communication. Continued publication and collaboration are expected to further strengthen contributions to public health analytics and related interdisciplinary research fields.
External Links
References
- Elsevier. (n.d.). Scopus author details: Suraj Upadhyaya, Author ID 57189959675.
https://www.scopus.com/authid/detail.uri?authorId=57189959675
- ORCID. (n.d.). Research profile.
https://orcid.org/0000-0002-5887-7054
- Upadhyaya, S. (2026). Psychosocial health following non-invasive brain stimulation of oculomotor regions. Behavioral Sciences.
https://www.mdpi.com/2076-328X/16/6/897
- Sharma, A., & Upadhyaya, S. (2026). Noninvasive brain stimulation of the left frontal eye field alters fixational control but leaves visually guided saccades unchanged. Optometry and Vision Science.
https://onlinelibrary.wiley.com/doi/10.1002/ovs2.70025