Iniobong Ekong | Vaccine | Research Excellence Award

Dr. Iniobong Ekong | Vaccine | Research Excellence Award

Ministry of Health | Sierra Leone

Dr. Iniobong Ekong is a public health researcher affiliated with the Federal Capital Territory Health & Human Services Secretariat, Abuja, Nigeria, with expertise in women’s health, non-communicable diseases, and health systems research in low- and middle-income settings. He has authored 6 peer-reviewed publications indexed in Scopus, attracting 190 citations and achieving an h-index of 3, reflecting the growing influence of his work. His research emphasizes participatory and community-based approaches, notably employing Photovoice methodology to amplify the lived experiences of women of reproductive age facing health inequities. Dr. Ekong has collaborated extensively, working with over 170 co-authors across multidisciplinary and international teams, strengthening evidence generation and policy relevance. His scholarship contributes to improved understanding of structural and social barriers to healthcare access, supporting more inclusive public health interventions and informing decision-making to advance equitable health outcomes in Nigeria and comparable global contexts.

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190

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6

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3

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Kadriye Ozlem Saygi | Biodefense | Women Researcher Award

Assoc. Prof. Dr. Kadriye Ozlem Saygi | Biodefense | Women Researcher Award

Gaziosmanpaşa University | Turkey

Assoc. Prof. Dr. Kadriye Özlem Saygi is a researcher at Tokat Gaziosmanpaşa University specializing in green chemistry, bioactive natural products, and environmentally sustainable nanoparticle synthesis. She has authored 18 scientific publications that have received more than 1,500 citations, demonstrating strong international recognition. With collaborations spanning over 20 co-authors, her multidisciplinary work advances natural extract applications, antimutagenic studies, and eco-friendly technological innovations. Her recent research on the green synthesis of silver nanoparticles using corn silk extract underscores her commitment to developing safe, sustainable scientific solutions with meaningful environmental and societal impact

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Qingju Zhang | Vaccines | Best Researcher Award

Prof. Qingju Zhang | Vaccines | Best Researcher Award 

Researcher | Jiangxi Normal University | China

Prof. Qingju Zhang is a distinguished researcher at Jiangxi Normal University, China, recognized for her significant contributions to synthetic carbohydrate chemistry, glycoscience, and vaccine-related glycoconjugate development. With a portfolio of 44 peer-reviewed publications and over 870 citations across 632 citing documents, she has established a strong scholarly footprint marked by methodological innovation, collaborative strength, and impactful research outputs. Her work focuses on the chemical synthesis, structural modification, and functional exploration of complex oligosaccharides, especially those relevant to pathogenic bacteria such as Acinetobacter baumannii and Bordetella hinzii. Recent publications highlight her leadership in advancing direct glycosylation methods, visible-light-mediated stereoselective transformations, and halogen/hydrogen-bond-assisted activation strategies, reflecting her expertise in contemporary reaction design and mechanistic insight. Her research on carbohydrate-based vaccines exemplifies a translational vision aimed at developing effective immunogens targeting antibiotic-resistant bacterial pathogens. With an h-index of 16 and a network of over 110 international and interdisciplinary co-authors, she collaborates widely across chemistry, microbiology, and biomedical science communities, underscoring her role as a key contributor to global glycoscience research. In addition to pioneering synthetic methodologies, her work advances fundamental understanding of bacterial O-antigen structures and supports the design of next-generation vaccine candidates with potential societal benefits in infectious disease control. Through consistent scholarly productivity, rigorous experimental approaches, and high-impact publications in leading journals such as ACS Catalysis, Organic Letters, and JACS Au, Prof. Zhang continues to enrich the field of carbohydrate chemistry while fostering scientific collaborations that bridge basic research and biomedical application.

Profiles: Scopus | ORCID

Featured Publications

1. Wang, L., Chen, M., Zou, J., Wu, S., Guo, K., Liu, D., Liu, C., Wang, Z., Hansen, T., & Zhang, Q. (2025, August 15). Direct glycosylation of N,N-dimethyl amino sugars via halogen/hydrogen-bonding interactions. ACS Catalysis, 15, 14115–14126. 
Cited by: 1

2. Wang, L., Li, X., Duan, L., Liu, D., Qi, J., & Zhang, Q. (2025, June). Fragments synthesis of Acinetobacter baumannii ATCC 17961 O-Antigen. Synlett.

3. Zhang, Y., Liu, C., & Zhang, Q. (2025, May 23). Recent advances of carbohydrate-based vaccines against Acinetobacter baumannii. European Journal of Organic Chemistry.

4. Zhang, L., Zheng, Z., Zhang, Y., Wu, X., Tu, Y., Liu, C., Wang, Z., Wang, L., Yang, Y., & Zhang, Q. (2025, April 28). Chemical synthesis and antigenic evaluation of oligosaccharides of Bordetella hinzii O-Antigen containing unique amidated 2,3-diacetamido-2,3-dideoxy-alduronic acids. JACS Au, 5, 1903–1913. 
Cited by: 4

5. Wang, Z., Poveda, A., Zhang, Q., Unione, L., Overkleeft, H. S., van der Marel, G. A., & Codée, J. D. C. (2023, June 28). Total synthesis and structural studies of zwitterionic Bacteroides fragilis polysaccharide A1 fragments. Journal of the American Chemical Society. 
Cited by: 15

Amos Kipkorir Langat | Infectious Disease | Best Researcher Award

Assist. Prof. Dr. Amos Kipkorir Langat | Infectious Disease | Best Researcher Award 

Senior Research Fellow | Jomo Kenyatta University of Agriculture and Techno | Kenya

Dr. Amos Kipkorir Langat, Ph.D., is a highly accomplished statistician, academic, and economist with expertise in Bayesian analysis, machine learning, spatial statistics, and public health modeling. He earned his Ph.D. in Mathematics (Statistics) from the Pan African University Institute for Basic Sciences, Technology and Innovation, his MSc. in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology (JKUAT), and his BSc. in Economics and Mathematics from Kabarak University. Currently, he serves as a Lecturer at JKUAT and Senior Economist at the County Government of Bomet, with previous teaching roles at Maasai Mara and Kabarak Universities. His research spans statistical modeling of infectious diseases, HIV risk factors, maternal health, survival and time series analysis, and measurement error models. He has supervised MSc. and Ph.D. students across Africa, authored over 30 peer-reviewed publications, and contributed to journals such as Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine & Surgery. Dr. Langat has secured prestigious awards including the AU Ph.D. Scholarship and SICSS research funding, and he actively contributes as a reviewer and conference organizer. His technical expertise includes proficiency in R, Python, STATA, SAS, SPSS, WinBUGS/OpenBUGS, and advanced econometric tools. A member of the Royal Statistical Society, ISCB, IBS, and the Kenya National Statistical Society, he also demonstrates a strong commitment to community service through educational leadership roles. Dr. Langat exemplifies a dedicated scholar, mentor, and researcher advancing applied statistics in public health and beyond

Profile: Google Scholar | Scopus | Orcid

Featured Publications

1. Langat, A., Orwa, G., & Koima, J. (2017). Cancer cases in Kenya; forecasting incidents using Box & Jenkins ARIMA model. Biomedical Statistics and Informatics, 2(2), 37–48. Cited by: 21

2. Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., … [and others]. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. JAIDS Journal of Acquired Immune Deficiency Syndromes, 81(1), 102–109. Cited by: 14

3. Mutinda, J. K., & Langat, A. K. (2024). Stock price prediction using combined GARCH-AI models. Scientific African, 26, e02374. Cited by: 10

4. Mutinda, J. K., & Langat, A. K. (2024). Modeling the impact of air pollution and meteorological variables on COVID-19 transmission in Western Cape, South Africa. International Journal of Mathematics and Mathematical Sciences, 2024(1), 1591016. Cited by: 5

5. Mutinda, J. K., & Langat, A. K. (2024). Capital asset pricing model: A renewed application on S&P 500 index. Asian Journal of Economics, Business and Accounting, 24(6), 226–239. Cited by: 4