Alexander Zhgun | Engineering and Technology | Research Excellence Award

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Dr. Alexander Zhgun | Engineering and Technology | Research Excellence Award

Group of Fungal Genetic Engineering, Federal Research Center | Russia

Alexander Alexandrovich Zhgun is a senior researcher and head of the Fungal Genetic Engineering Group at the Federal Research Center “Fundamentals of Biotechnology” of the Russian Academy of Sciences, with more than three decades of scientific contribution in biotechnology and cultural heritage protection. He earned his biology degree from Lomonosov Moscow State University and completed a PhD focused on cytochromes P450, building a strong foundation in molecular and fungal biotechnology. His academic career progressed from researcher to group leader, culminating in his appointment as head of the fungal genetic engineering group. His research interests center on molecular diagnostics of biodeterioration, metabolic engineering of fungal strains, secondary fungal metabolites, and biotechnological strategies for protecting historical paintings from microbial damage. Under his leadership, innovative diagnostic systems and preventive technologies for biodegradation of cultural heritage have been developed, alongside pioneering studies that reframe painting-destructive fungi as valuable biotechnological resources.  His scholarly impact includes an h-index reported in the range of 15–16 with corresponding citation records across major databases. Overall, his work bridges fundamental science and applied innovation, delivering lasting impact in biotechnology, antimicrobial discovery, and cultural heritage conservation.

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Featured Publications



Detection of Potential Biodeterioration Risks for Tempera Paintings in 16th-Century Exhibits from the State Tretyakov Gallery
A.A. Zhgun, D.A. Avdanina, K.V. Shumikhin, N.P. Simonenko, E.V. Lyubavskaya, et al.,
PLoS One, 15(4), e0230591, 2020. (Citations: 57)


A Novel L-Asparaginase from the Hyperthermophilic Archaeon Thermococcus sibiricus: Heterologous Expression and Characterization
M.V. Dumina, A.A. Zhgun, M.V. Pokrovskaya, S.S. Aleksandrova, et al.,
International Journal of Molecular Sciences, 22(18), 9894, 2021. (Citations: 41)


1,3-Diaminopropane and Spermidine Upregulate Lovastatin Production via LaeA Regulation in Aspergillus terreus
A.A. Zhgun, G.K. Nuraeva, M.V. Dumina, T.M. Voinova, et al.,
Applied Biochemistry and Microbiology, 55(3), 243–254, 2019. (Citations: 37)


Application of Chitosan for Protection of 15th–16th Century Cultural Heritage Objects from Microbial Damage
A.A. Zhgun, D.A. Avdanina, B.T. Shagdarova, E.V. Troyan, et al.,
Materials, 15(21), 7773, 2022. (Citations: 12)

Liu Ying | Mechanical Engineering | Research Excellence Award

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Dr. Liu Ying | Mechanical Engineering | Research Excellence Award

East China Jiaotong University | China

Ying Liu is a dedicated researcher and Lecturer specializing in vehicle engineering with a strong academic trajectory and growing research impact, reflected in an h-index of 2, 4 published documents, and 14 citations across indexed platforms. She earned a combined Master’s and PhD degree in Mechanical Engineering from Shanghai University, followed by a Bachelor’s degree in Mechanical Design, Manufacturing and Automation from Changchun Institute of Technology. Her professional career includes serving as a Lecturer at East China Jiaotong University, where she contributes to teaching, mentoring, and interdisciplinary research. Her work focuses on target optimization, image detection, reinforcement learning, computer vision, intelligent control, and smart vehicle technologies. She has completed five research projects, contributed to two national-level and multiple provincial and horizontal projects, and actively engages in consultancy with ten industry-linked initiatives. She has authored seven SCI-indexed papers, produced twenty-five patents, and participated in major scientific collaborations including a project funded with 5 million yuan. As a recipient of Jiangxi’s Early-Career Young Talents Program, she continues to advance innovation in intelligent vehicle systems. She remains committed to impactful research, advancing engineering applications, and contributing to societal and technological development.

Profile : Scopus

Featured Publications

Liu, Y., & [Co-author(s) if any]. (2025). Continuous path tracking of robots based on positioning error compensation with iterative learning control. IEEE Transactions on Instrumentation and Measurement.

Sun Yubing | Computer Science and Artificial Intelligence | Best Researcher Award

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Dr. Sun Yubing | Computer Science and Artificial Intelligence | Best Researcher Award

Wenzhou University | China

Dr. Yubing Sun earned his PhD from Zhejiang University and currently serves as a lecturer at Wenzhou University, where he leads research efforts on advanced gas-sensor technologies and their systems for agricultural applications. His research focuses on improving sensitivity, selectivity, stability and drift compensation of gas sensors, and deploying sensor systems for field-scale agricultural monitoring. While a formal h-index, total document count and citation count are not publicly verified, his publication record and successful leadership in multiple national and provincial projects underscore his growing research impact. He has secured competitive funding, participated in multidisciplinary teams, and supervised student-led work bridging sensor hardware and agricultural field deployment. His contributions have been recognized via institutional awards and research grants. Looking ahead, Dr. Sun aims to translate lab-scale gas-sensor innovations into robust agricultural-system platforms, contributing to precision agriculture and sustainable crop monitoring.

Profile : Orcid

Featured Publications

Sun, Y., Huang, J., & Zheng, Y. (2025, September 9). Study on the determination of pest attack time of tea plant by gas sensor. Annals of Applied Biology.

Sun, Y., & Zheng, Y. (2024, December 2). Application of MOS gas sensors for detecting mechanical damage of tea plants. Journal of Agricultural Engineering.

Sun, Y., & Zheng, Y. (2024, June). Prediction of tomato plants infected by fungal pathogens at different disease severities using E-nose and GC–MS. Journal of Plant Diseases and Protection.

Yu, W., & Sun, Y. (2024, March). A method for detecting gas applied in seed germination with varying concentration based on gas sensors. Measurement.

Sun, Y., & Zheng, Y. (2023, July 24). A method of gas sensor drift compensation based on intrinsic characteristics of response curve. Scientific Reports.

Yuxin Zhang | Energy and Sustainability | Best Researcher Award

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Mr. Yuxin Zhang | Energy and Sustainability | Best Researcher Award

Tongji University | China

Mr. Yuxin Zhang is a postgraduate student at Tongji University, specializing in Energy and Power with a focus on refrigeration and high-temperature heat pump systems. His academic journey is centered on advancing sustainable thermal energy technologies, particularly in the context of rail vehicle air-conditioning. Zhang has contributed significantly to the replacement of traditional refrigerants with low-GWP refrigerant mixtures, addressing both environmental and energy efficiency challenges. His research has been published in Energies, a leading SCI-indexed journal, with over 1 citations, an h-index of 1, and multiple supporting documents available through his publication record. Building on this foundation, he has applied for two invention patents related to energy-efficient refrigeration and heating systems. His collaborations with the Shanghai Refrigeration Society and industry-based projects highlight his applied research experience and commitment to bridging academic innovation with industrial implementation. Zhang’s interests span refrigeration cycles, high-temperature heat pump technologies, and sustainable cooling solutions, reflecting his dedication to green energy transitions. Recognized for his early yet impactful contributions, he has actively participated in research addressing climate-friendly alternatives in thermal management. With a growing publication profile and strong research outputs, he aspires to advance innovation in refrigeration engineering and contribute meaningfully to global sustainability goals.

Profiles : Scopus | Google Scholar 

Featured Publications

Zhang, Y., Cao, S., Zhao, L., & Cao, J. (2022). A case application of WRF-UCM models to the simulation of urban wind speed profiles in a typhoon. Journal of Wind Engineering and Industrial Aerodynamics, 220, 104874.

Liu, C., Zhang, Y., Yao, Y., & Huang, Y. (2019). Calculation method for flexural capacity of high strain-hardening ultra-high performance concrete T-beams. Structural Concrete, 20(1), 405–419.

Zhang, Y., Cao, S., & Cao, J. (2022). An improved consistent inflow turbulence generator for LES evaluation of wind effects on buildings. Building and Environment, 223, 109459.

Zhang, Y., Cao, S., Cao, J., & Wang, J. (2023). Effects of turbulence intensity and integral length scale on the surface pressure on a rectangular 5:1 cylinder. Journal of Wind Engineering and Industrial Aerodynamics, 236, 105406.

Zhang, Y., Cao, S., & Cao, J. (2023). Implementation of an embedded LES model with parameter assessment for predicting surface pressure and surrounding flow of an isolated building. Journal of Wind Engineering and Industrial Aerodynamics. Advance online publication.