Jianxun Qi | Vaccine Development | Research Excellence Award

Dr. Jianxun Qi | Vaccine Development | Research Excellence Award

 Chinese Academy of Sciences | China

Dr. Jianxun Qi is an eminent professor at the Institute of Microbiology, Chinese Academy of Sciences (IMCAS), renowned for his groundbreaking contributions to structural virology and host–pathogen interaction research. As a leading scientific innovator, he has focused extensively on defining the molecular mechanisms governing how viruses recognize and invade host cells, with influential work spanning influenza viruses, coronaviruses, filoviruses, and other emerging pathogens. Dr. Qi’s expertise in structural biology and protein chemistry has enabled him to decode complex viral architectures and receptor engagements that underpin infection and cross-species transmission.His research has produced a series of landmark discoveries published in prestigious journals. Among his most notable works are Structural Basis of H7N9 Influenza Virus Receptor Binding (Science), Receptor Specificity of H6N6 Influenza Virus (EMBO), Structural Insights into MERS-CoV Receptor Engagement (Nature), and Architecture of SARS-CoV-2 Spike–ACE2 Interaction (Cell). Dr. Qi has also made major contributions to understanding Ebola virus, Thogotovirus, African Swine Fever Virus, Coxsackievirus A10, and SFTSV, detailed through influential publications in Cell, PNAS, and Nature Communications. His studies have provided essential molecular frameworks that support the development of vaccines, therapeutic antibodies, and antiviral strategies worldwide.

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Shangqing Gong | Vaccine Development |

Mr. Shangqing Gong | Vaccine Development | Best Researcher Award

University of South China | China

Mr. Shangqing Gong is a highly prolific researcher affiliated with East China University of Science and Technology, specializing in quantum optics, optical non-reciprocity, optomechanics, and nonlinear light–matter interaction. His publication record includes over two hundred scientific works, with a citation count exceeding several thousand, and a strong h-index indicating his influence in the field. He has been involved in multiple collaborative research projects across institutions, contributing both theoretical and experimental advances, particularly in cavity quantum electrodynamics, electromagnetically induced transparency, and opto-electromechanical hybrid systems.Gong’s contributions extend to designing schemes for nonreciprocal cavities using chiral broadening, demonstrating isolation contrasts between clockwise and counter-clockwise cavity modes, and exploring the nonreciprocal transmission of vortex beams via Raman transitions. He has worked on enhancing cross-Kerr nonlinearities through mechanical parametric amplification, applying these to photon blockade effects and optomechanical electrometers. His research also involves electrical control of nonlinear optical phenomena in hybrid systems, coupling optical and mechanical modes with adjustable interactions, as well as theoretical proposals for phase-controllable four-wave mixing between microwave and optical domains. Mr. Gong collaborates with co-authors from multiple universities, contributes to international journals, and engages in multi-disciplinary work spanning physics, optics, and materials science.His professional memberships include participation in scientific societies related to optics and photonics; he also serves peer reviewer or contributor roles in journals and conferences in quantum optics and photonics. His areas of research encompass optical isolation devices, non-linear optics, optomechanical coupling, quantum information processing, light-matter coupling, and photon-phonon interaction. Through his work, Gong has advanced understanding of how nonlinear optical effects can be engineered, controlled, and applied in devices for photonic communication, sensing, and quantum technologies.

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Featured Publications

Gong, S., Zhang, M., Dai, J., & Jiang, Y. (2025). Dynamic analysis and optimal control of fractional-order time-delayed SIR models with medical observation and Hattaf-Yousfi functional responses. Results in Engineering, 107209.

Gong, S., Zhang, M., Dai, J., & Jiang, Y. (2025). Dynamic optimal control of an SEIQRS epidemic model on complex network. [Journal Name, Volume(Issue), pages if available].