Hu Xueliang | Treatment for Infectious Diseases | Best Researcher Award

Published on by Infectious

Ms. Hu Xueliang | Treatment for Infectious Diseases | Best Researcher Award

Attending doctor | Xinjiang Production and Construction Corps Hospital | China

Dr. Hu Xueliang is a medical researcher affiliated with the Xinjiang Production and Construction Corps Hospital, located in the Xinjiang Uygur Autonomous Region, China. He has developed a multidisciplinary academic foundation built upon rigorous medical education and clinical research training, which fuels his pursuit of excellence in scientific inquiry. His educational background includes advanced studies in clinical medicine and infectious diseases, with specialized exposure to epidemiology, antimicrobial resistance, and translational healthcare practices. Professionally, Dr. Hu has accumulated significant experience working in medical and hospital-based research environments where he has contributed to evidence-based clinical investigations, research collaborations, and the analysis of disease patterns. His research interests span infectious diseases, public health, immunopathology, epidemiological modeling, and antimicrobial stewardship, focusing on the development of innovative strategies for the prevention and control of emerging infectious threats. Dr. Hu demonstrates strong research skills in data collection, statistical evaluation, clinical interpretation, and collaborative project leadership, reflecting a growing engagement in translational research that bridges clinical medicine and public health outcomes. Throughout his developing career, he has earned recognition for his dedication and academic integrity, receiving institutional appreciation and professional commendations for research excellence and medical service. His academic achievements and contributions position him as an emerging scholar within the global medical research community, demonstrating both promise and perseverance. Dr. Hu continues to pursue knowledge dissemination through publications, scientific participation, and health advocacy aimed at improving patient outcomes and public safety. He envisions building a strong research portfolio in infectious disease diagnostics and evidence-based medicine while strengthening global collaboration in health sciences.his current publication metrics indicate 0 Citations  and 1 Document with 0 h-index, reflecting his early-career status and future potential for academic growth.

Profiles : Scopus 

Featured Publications

Hu, X., Guo, X., Sha, J., Dou, Y., Ma, H., Li, H., & Xu, Y. (2025). Analysis of the efficacy of photodynamic therapy in treating cervical lesions and HPV infections and its influencing factors. Photodiagnosis and Photodynamic Therapy, 55, 104786.

Achilleas Livieratos | Infectious Diseases Vaccines | Best Researcher Award

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Dr. Achilleas Livieratos | Infectious Diseases Vaccines | Best Researcher Award

Medical Researcher | Stanford University | Greece

Dr. Achilleas Livieratos, PhD, MRSB, is a distinguished biomedical researcher whose work bridges immunology, infectious diseases, circadian biology, and artificial intelligence applications in health sciences. His research integrates advanced computational methods, including machine learning and multi-agent transformer frameworks, to enhance evidence generation, vaccine immunology, and drug safety analytics. He has published extensively in leading journals such as Vaccines, Pathogens, Viruses, eClinicalMedicine, and Value in Health, contributing to global understanding of immune response dynamics, precision medicine, and outcomes research. Notably, his development of MetaMind, an AI-driven framework for automated network meta-analyses, and his studies on circadian influences on influenza vaccine immunity have been recognized as groundbreaking contributions. His investigations into immune durability across respiratory viruses, including RSV, SARS-CoV-2, and influenza, as well as his exploration of alternative therapies for long COVID, have significantly advanced clinical and translational knowledge. As a lead collaborator with Stanford University and the University of California, San Francisco, Dr. Livieratos has directed international research initiatives on infectious disease modeling, biomarker discovery, and the application of AI in health outcomes research. His earlier work at the University of Oxford produced landmark discoveries in neurogenetics and circadian disruption, underpinning his multidisciplinary expertise. Through leadership in European Pharma and AI consortia, he continues to drive innovation in predictive health analytics and precision therapeutics, demonstrating an exceptional fusion of biomedical insight, computational innovation, and translational research impact.

Profiles : Google Scholar | Scopus

Featured Publication

Oliver, P. L., Sobczyk, M. V., Maywood, E. S., Edwards, B., Lee, S., Livieratos, A., et al. (2012). Disrupted circadian rhythms in a mouse model of schizophrenia. Current Biology, 22(4), 314–319.

Taylor, T. N., Potgieter, D., Anwar, S., Senior, S. L., Janezic, S., Threlfell, S., Ryan, B., et al. (2014). Region-specific deficits in dopamine, but not norepinephrine, signaling in a novel A30P α-synuclein BAC transgenic mouse. Neurobiology of Disease, 62, 193–207.

Wobst, H. J., Denk, F., Oliver, P. L., Livieratos, A., Taylor, T. N., Knudsen, M. H., et al. (2017). Increased 4R tau expression and behavioural changes in a novel MAPT-N296H genomic mouse model of tauopathy. Scientific Reports, 7(1), 43198.

Livieratos, A., Gogos, C., & Akinosoglou, K. (2024). Impact of prior COVID-19 immunization and/or prior infection on immune responses and clinical outcomes. Viruses, 16(5), 685.

Livieratos, A., Gogos, C., & Akinosoglou, K. (2024). Beyond antivirals: Alternative therapies for long COVID. Viruses, 16(11), 1795.

Salauddin Al Azad | Infectious Diseases Prevention | Best Researcher Award

Published on by Infectious

Dr. Salauddin Al Azad | Infectious Diseases Prevention | Best Researcher Award

Principal Investigator | Jiangnan University | China

Dr. Salauddin Al Azad is an accomplished researcher and CSC Scholar at the Key Laboratory of Industrial Biotechnology, Jiangnan University, China, and Principal Investigator of the RPG Interface Lab, Bangladesh. His research primarily focuses on synthetic biology, molecular engineering, and biorefinery processes for sustainable bioenergy production. He has made significant contributions to microbial lipid-based biorefineries, lignocellulosic biomass fractionation, molecular docking, and computational biochemistry. His expertise spans wet-lab techniques such as enzymatic hydrolysis, gene sequencing, and nanoencapsulation, as well as dry-lab and in silico methods including molecular dynamics simulation, density functional theory, and machine learning-driven bioprocess optimization. Salauddin’s multidisciplinary research integrates biochemistry, nanobiocomposite design, and immunoinformatics to develop advanced strategies for biofuel production, drug delivery, and enzyme stabilization. With 33 publications, including 20 indexed in SCI journals and 12 in Q1, his scientific contributions have gained substantial recognition, achieving 856 citations, an h-index of 19, and an i10-index of 25. His recent works in high-impact journals such as Biofuel Research Journal, Fuel, ACS Sustainable Chemistry & Engineering, and Bioresource Technology highlight innovations in green chemistry, computational modeling, and sustainable energy technologies. He has collaborated extensively with global research institutions and contributed as a reviewer and editorial board member for reputed publishers, reflecting his academic influence. Salauddin’s projects have been supported by the National Natural Science Foundation of China, the World Bank, and the Bangladesh Academy of Science, among others. His dedication to advancing molecular biotechnology, bioenergy, and material science has positioned him among the top global researchers in fields like biopolymer engineering, nanobiocomposites, and functional lipids. 492 Citations, 20 Documents, 13 h-index, View h-index.

Profiles :  Google Scholar | Scopus | ORCID

Featured Publications

Al Azad, S., Madadi, M., Saleknezhad, M., Zhang, E., & Sun, F. (2025). Machine learning-driven optimization of biphasic pretreatment conditions for enhanced lignocellulosic biomass fractionation. Energy, 136241. Cited by 8

Al Azad, S., Madadi, M., Rahman, A., Sun, C., Zhang, E., & Sun, F. (2025). Quantum mechanical insights into lignocellulosic biomass fractionation through an NaOH-catalyzed Triton-X 100 system: In vitro and in silico approaches. ACS Sustainable Chemistry & Engineering, 13(15), 5516–5530. Cited by 3