Hao Wang | Clinical Trials and Statistical Designs | Research Excellence Award

Dr. Hao Wang | Clinical Trials and Statistical Designs | Research Excellence Award

Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China | China

Hao Wang is an accomplished physician scientist in the field of imaging and nuclear medicine, with advanced training focused on molecular imaging and targeted radionuclide therapy. His academic background emphasizes the development and clinical translation of novel molecular probes for precise disease diagnosis and therapy monitoring. His research integrates imaging physics, radiopharmaceutical science, and clinical nuclear medicine to improve diagnostic accuracy and therapeutic outcomes, particularly in precision medicine. He has led and contributed to multiple competitively funded research initiatives at national, provincial, and institutional levels, reflecting sustained recognition of his scientific leadership. His projects span applied clinical research, basic and translational investigations, and medical education reform, demonstrating a multidisciplinary approach to innovation in healthcare. Through these studies, he has advanced methodologies for imaging-based disease characterization, optimized radionuclide-targeted treatment strategies, and supported the integration of novel probes into clinical practice. His work also contributes to capacity building in medical imaging through education-focused research initiatives. Collectively, his research efforts highlight a strong commitment to advancing nuclear medicine technologies, bridging laboratory discoveries with patient-centered applications, and promoting evidence-based clinical innovation within modern imaging sciences.

Citation Metrics (Scopus)

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Citations
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Featured Publications

Ruchi singh Parihar | Biostatistics and Epidemiology | Best Researcher Award

Assist Prof. Dr. Ruchi singh Parihar | Biostatistics and Epidemiology | Best Researcher Award

Christ University | India

Assist Prof. Dr. Ruchi Singh Parihar is a distinguished climate scientist and Assistant Professor in the Department of Statistics and Data Science at CHRIST (Deemed to be University), Bangalore, whose research embodies a unique integration of climate science, epidemiology, and data-driven modeling. With a Ph.D. in Climate Change and Health jointly awarded by IIT Delhi and Graphic Era University, her scholarly journey reflects a deep commitment to understanding the nexus between climate variability, disease transmission, and human health. Dr. Parihar’s expertise spans climate and atmospheric modeling, remote sensing, GIS applications, numerical simulations, and environmental health risk assessment, focusing particularly on vector-borne diseases such as malaria. Her according to Scopus includes more than 36 peer-reviewed publications, accumulating over 30 citations and an h-index of 3, with studies featured in prestigious journals such as Nature Scientific Reports, GeoHealth, and the International Journal of Biometeorology. She has held research and visiting positions at globally renowned institutions, including the Institute for Basic Science (IBS), South Korea, and the International Centre for Theoretical Physics (ICTP), Italy, where she continues as an Associate. Recognized with several international Travel and Research Grants from organizations like NSF (USA), UNESCO/IAEA, and Rutgers University, Dr. Parihar actively contributes to international scientific dialogues on climate and health through presentations at major conferences including AGU, EGU, and Gordon Research Conferences. Her memberships in leading professional societies such as AGU, EGU, AOGS, ISNTD, and AWIS highlight her active role in advancing collaborative global science. Dr. Parihar’s pioneering contributions lie in her ability to combine statistical modeling, climate projections, and epidemiological simulations to forecast disease transmission patterns under future climate scenarios, thereby influencing both academic research and public health policy on a global scale.

Profiles: Scopus Google Scholar 

Featured Publications

Bal, P. K., Kumar, D. S., Parihar, R. S., & Saini, A. (2025). Changing climate and its impacts on the dynamics of future malaria transmission over certain endemic regions in India. Scientific Reports, 15(1), 35412.

Parihar, C. M. Q. D. R. S. (2025). Women, health, and the climate emergency. American Journal of Biomedical Science and Research.

Parihar, R. S. (2025). Climate variability and its impact on vector-borne diseases: Using numerical/statistical modeling. In IntechOpen.

Franzke, C. L. E., & Parihar, R. S. (2025). Time of emergence and future projections of extremes of malaria infections in Africa. GeoHealth, 9(6), e2025GH001356.

Franzke, C. L. E., & Parihar, R. S. (2025). Time of emergence and future projections of extremes of malaria transmission dynamics in Africa region. European Geosciences Union (EGU25-2188), Vienna, Austria.