Hajer Nabli | Public Health | Research Excellence Award

Assist. Prof. Dr. Hajer Nabli | Public Health | Research Excellence Award

Assistant Professor | University of Sousse, ISITCom | Tunisia

Assist. Prof. Dr. Hajer Nabli is a distinguished researcher specializing in cloud computing, blockchain, and AI-driven Internet of Things (AIoT) applications. She has authored multiple high-impact publications, with 128 citations, an h-index of 6, and an i10-index of 4, reflecting her significant contributions to service discovery, cloud service recommendation, and semantic similarity modeling. Her work emphasizes innovative solutions for cloud service personalization, web service composition, and the integration of emerging technologies into pharmaceutical and smart city applications. Collaborating extensively with international scholars, Nabli has advanced practical applications such as quality-aware context monitoring for smart homes and blockchain-enabled supply chain security. Her research demonstrates a strong societal impact, addressing critical challenges in technology adoption, elderly care, and counterfeit drug prevention.

Citation Metrics (Google Scholar)

128
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Citations

128

h-index

6

i10-index

4

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i10-index

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Featured Publications

Zhao Wang | Pharmaceutical Sciences | Research Excellence Award

Assoc. Prof. Dr. Zhao Wang | Pharmaceutical Sciences | Research Excellence Award

Associate Professor | Shandong University | China

Assoc. Prof. Dr. Zhao Wang is an Associate Professor at Shandong University, China, with recognized expertise at the intersection of pharmaceutical sciences, computational drug discovery, and artificial intelligence–driven therapeutics. He has authored 47 peer-reviewed publications, accumulating over 760 citations with an h-index of 16, reflecting sustained scholarly impact. His research spans computer-aided drug design, antiviral drug discovery, genomics, and translational pharmacology, including contributions to high-impact journals such as Nature Genetics and leading medicinal chemistry outlets. Dr. Wang collaborates extensively within international, multi-disciplinary research networks, as evidenced by a large co-author base and multi-ancestry genomic studies. His work advances next-generation therapeutic development, supports precision medicine initiatives, and contributes to addressing major global health challenges through data-driven and AI-enabled pharmaceutical innovation.

Citation Metrics (Scopus)

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763

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47

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16

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Featured Publications

Yanan Yang | Pharmaceutical Sciences | Research Excellence Award

Ms. Yanan Yang | Pharmaceutical Sciences | Research Excellence Award

Student | Tianjin University of Traditional Chinese Medicine | China

Dr. Yanan Yang is a researcher at Tianjin University of Traditional Chinese Medicine, recognized for her contributions at the intersection of gut microbiota, metabolic regulation, and cardiometabolic diseases. Her scholarly influence is demonstrated by 726 citations, 45 peer-reviewed publications, and an h-index of 14, underscoring her growing impact in biomedical and translational health research. Dr. Yang’s work spans gut microbiome dynamics, microbial metabolites, metabolic disorders, traditional Chinese medicine mechanisms, and multi-omics integration. She has contributed to high-visibility studies on acute coronary syndrome, cardiovascular disease mechanisms, type 2 diabetes regulation, and herbal-medicine-induced metabolic modulation. Her involvement in multi-center collaborations—including meta-analyses with large participant cohorts—reflects her ability to bridge clinical findings with microbiome-mediated insights. Dr. Yang’s publications highlight a consistent focus on understanding microbial signatures, therapeutic pathways, and host–microbe interactions to advance preventive and precision medicine. She has also engaged in studies evaluating herbal interventions such as Coptis chinensis, showcasing the integration of traditional medicine with modern biomedical evidence. With over 223 co-authors across her publication record, her collaborative networks extend nationally and internationally, supporting multidisciplinary innovation in gut–heart metabolic axis research. Dr. Yang’s ongoing contributions provide essential foundations for developing microbiome-based diagnostics, therapeutic strategies for metabolic diseases, and evidence-based applications of traditional Chinese medicine, reflecting her role as an emerging and influential scientist in her field.

Featured Publications

  1. Wu, C., Zhao, Y., Zhang, Y., Yang, Y., Su, W., Yang, Y., Sun, L., Zhang, F., Yu, J., … (2022). Gut microbiota specifically mediates the anti-hypercholesterolemic effect of berberine (BBR) and facilitates prediction of BBR’s cholesterol-lowering efficacy in patients. Journal of Advanced Research, 37, 197–208. Cited by: 78

  2. Dong, C., Yang, Y., Wang, Y., Hu, X., Wang, Q., Gao, F., Sun, S., Liu, Q., Li, L., Liu, J., … (2023). Gut microbiota combined with metabolites reveals unique features of acute myocardial infarction compared with stable coronary artery disease. Journal of Advanced Research, 46, 101–112. Cited by: 74

  3. Dong, C., Yu, J., Yang, Y., Zhang, F., Su, W., Fan, Q., Wu, C., & Wu, S. (2021). Berberine, a potential prebiotic to indirectly promote Akkermansia growth through stimulating gut mucin secretion. Biomedicine & Pharmacotherapy, 139, 111595. Cited by: 74

  4. Yang, Y. N., Wang, Q. C., Xu, W., Yu, J., Zhang, H., & Wu, C. (2022). The berberine-enriched gut commensal Blautia producta ameliorates high-fat diet-induced hyperlipidemia and stimulates liver LDLR expression. Biomedicine & Pharmacotherapy, 155, 113749. Cited by: 60

  5. Xu, W., Yu, J., Yang, Y., Li, Z., Zhang, Y., Zhang, F., Wang, Q., Xie, Y., Zhao, B., & Wu, C. (2023). Strain-level screening of human gut microbes identifies Blautia producta as a new anti-hyperlipidemic probiotic. Gut Microbes, 15(1), 2228045. Cited by: 57

Iffat Prianka | Public Health | Public Health Impact Award

Assist. Prof. Dr. Iffat Prianka | Public Health | Public Health Impact Award 

Asst.Professor | Ibrahim Medical College | Bangladesh

Dr. Iffat Tania Prianka is a dedicated public health professional and medical educator from Bangladesh, currently serving as Assistant Professor in the Department of Community Medicine & Public Health at Ibrahim Medical College (BIRDEM). She holds an M.Phil. in Preventive and Social Medicine from BSMMU (NIPSOM), an MPH in Epidemiology from AIUB, and has successfully completed FCPS Part I in Community Medicine and Public Health. She is presently pursuing her Ph.D. at Bangladesh University of Professionals. Her academic journey is distinguished by strong research engagement, with completed studies on autism awareness among medical students, internet addiction during the COVID-19 pandemic, and the psychosocial impact of infertility among women. She possesses advanced research skills in epidemiology, biostatistics, and data interpretation using SPSS and STATA, strengthened by extensive training in research methodology, medical education, and faculty development programs from institutions such as Eudoxia Research University and Fera Foundation. Her teaching and clinical experience span over a decade, with prior roles as Lecturer in Biochemistry and Community Medicine, and as Senior House Physician at United Hospital Dhaka. Recognized with Magna Cum Laude distinction and Dean’s Award, Dr. Prianka aims to contribute to global public health advancement through impactful research, evidence-based education, and community-focused healthcare solutions.

Profile: ORCID

Featured Publications

Prianka, I. T. (2022). Knowledge and Attitude on Early Sign of Autism Among 1st Year to 3rd Year Medical Students in a Selected Medical College in    Bangladesh. International Journal of Medical Research and Pharmaceutical Sciences, 9(9), 1–7. Available at: ijmrpsjournal.com

Jahan, N., Rumman, I., Prianka, I. T., & Gupta, P. K. S. (2023). Internet Addiction Among Medical Students During the COVID-19 Pandemic in Dhaka      City: Prevalence and Associated Factors. International Research Journal of Medical and Pharmaceutical Sciences, 1(1), 64–76. Available at: zapjournals.com

Negin Maroufi | Public Health | Best Researcher Award

Ms. Negin Maroufi | Public Health | Best Researcher Award

University of Otago | New Zealand

Ms. Negin Maroufi is a highly motivated Ph.D. candidate in Public Health at the University of Otago, Wellington (2023–present), specializing in the application of machine learning and multi-source surveillance data to predict seasonal influenza patterns in New Zealand to support improved prevention and health service management. She holds an M.Sc. in Computer Engineering (Software) from Islamic Azad University, Neyshabur, Iran (2018), where her thesis focused on designing approximate compressor circuits using Quantum-dot Cellular Automata, and a B.Sc. in Computer Engineering (Hardware) from Ferdowsi University of Mashhad, Iran (2013), where she developed character recognition systems via tablet digitizers. Her professional experience includes serving as Deputy of Research and Technology at Neyshabour University of Medical Sciences (2021–2023), coordinating IT infrastructure, database management, and epidemiological data analysis, and contributing to the Neyshabur Longitudinal Study on Ageing (NeLSA) from 2017–2021, where she designed databases, developed web interfaces, performed statistical analyses, and assisted in COVID-19 surveillance reporting. She has also taught English, programming, and IT courses in various institutions, demonstrating strong mentorship and teaching capabilities. Her research interests lie at the intersection of digital epidemiology, public health informatics, machine learning, and predictive modeling for infectious disease surveillance. She possesses advanced research skills in C/C#/ASP.NET programming, Python, R, STATA, SQL database design, data cleaning, machine learning, and biomedical data analysis, and holds certifications in Good Clinical Practice, biomedical research ethics, and data science. Her work has been published in reputable journals such as the Middle East Journal of Digestive Diseases and the International Journal of Epidemiology, and she has contributed to national COVID-19 epidemiology reports. Negin has received the University of Otago Doctoral Scholarship, maintained top grades throughout her academic career, and earned awards in mathematics and programming competitions. Her combined expertise, research experience, and leadership abilities position her as a promising emerging scholar in public health and digital epidemiology. 27 Citations by 27 documents, 3 Documents, h-index 1.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Aminisani, N., Azimi-Nezhad, M., Shamshirgaran, S. M., Mirhafez, S. R., Borji, A., Poustchi, H., Sezavar, S. H., Ansarin, K., Kolahi, S., Javadpor, A., Rezaei, A., Hooshmand, E., Maroufi, N., Tabaei, S., Eghtesad, S., Hyde, M., Kenny, R. A., Raina, P., Stephens, C., Malekzadeh, R. (2022). Cohort profile: The IRanian Longitudinal Study on Ageing (IRLSA): The first comprehensive study on ageing in Iran. International Journal of Epidemiology, 51(4), e177–e188. Citations: 37

  2. Maroufi, N., & Bahrepour, D. (2018). A novel three-input approximate XOR gate design based on quantum-dot cellular automata. Journal of Computational Electronics, 17(2), 866–879. Citations: 7

  3. Bahrepour, D., & Maroufi, N. (2018). A 2-bit full comparator design with a minimum quantum cost function in quantum-dot cellular automata. Information Systems & Telecommunication, 6, 197–203. Citations: 5

  4. Bahrepour, D., & Maroufi, N. (2019). A 2-bit full comparator design with minimum quantum cost function in quantum-dot cellular automata. Journal of Information Systems and Telecommunication (JIST), 4(24), 197. Citations: 3

  5. Maroufi, N., Sohrabi, M., Mehrabadi, S., Zamani, F., Ajdarkosh, H., Hatamian, S., Bahavar, A., Tameshkel, F. S., Gholami, A. (2024). Poor sleep quality and its influencing factors among Iranian patients with esophageal and gastric cancer. Middle East Journal of Digestive Diseases, 16(1), 39–46. Citations: 2