Fu-Dong Shi | Neuroimmunology | Best Researcher Award

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Prof. Fu-Dong Shi | Neuroimmunology | Best Researcher Award

Dr. Fu-Dong Shi is a distinguished neurologist and Professor of Neurology at Beijing Tiantan Hospital and Tianjin Medical University General Hospital. With extensive training from institutions like Peking Union Hospital and the Karolinska Institute, he specializes in neuroinflammatory disorders, particularly multiple sclerosis, neuromyelitis optica, myasthenia gravis, and inflammatory neuropathy. Dr. Shi has published over 300 articles in leading journals and has been recognized with membership in the Academia Europaea. He is a prominent leader in clinical neuroimmunology, contributing to groundbreaking research, clinical trials, and the development of diagnostic and therapeutic interventions.

Prof. Fu-Dong Shi | Tianjin Medical University | China

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🎓Education

  • Dr. Fu-Dong Shi completed his clinical and research training at Peking Union Hospital, the Karolinska Institute, The Scripps Research Institute, and the Barrow Neurological Institute, gaining extensive experience in neuroinflammatory disorders.

👨‍🏫Experience

  • Dr. Shi currently serves as a Professor of Neurology at both Beijing Tiantan Hospital and Tianjin Medical University General Hospital. He is also the Chief of the Neuroimmunology Section at the Chinese Neurological Association. With a long career in academia and clinical research, he has collaborated with several prominent researchers and institutions across the globe, including the Karolinska Institute, Oxford University, Charité – Universitätsmedizin Berlin, and leading pharmaceutical companies.

🏆Awards and Recognitions

  • Dr. Shi has been elected as a member of the Academia Europaea in 2024 for his distinguished contributions to the research and care of patients with neuroinflammatory disorders. His innovative research has earned recognition in numerous prestigious journals such as Nature Immunology, Immunity, and Nature Reviews Immunology.

💡Skills and Certifications

  • Dr. Shi is a renowned expert in the field of neuroimmunology, with specialized knowledge in the immune responses of the central nervous system. His skill set includes advanced research in multiple sclerosis, neuromyelitis optica spectrum disorders, myasthenia gravis, and inflammatory neuropathy. He has also been instrumental in developing diagnostic technologies and therapeutic interventions for these conditions.

🔬 Research Focus

  • Dr. Shi’s research primarily focuses on the clinical and basic studies of multiple sclerosis (MS), neuromyelitis optica spectrum disorders (NMOSD), myasthenia gravis (MG), and inflammatory neuropathy. His groundbreaking work has advanced the understanding of immune responses within the central nervous system, particularly in relation to brain ischemia, hemorrhage, and neuroimmune interactions. His research aims to drive innovative clinical trials testing immune interventions for neuroinflammatory disorders and exploring new diagnostic and therapeutic approaches for neuromyelitis optica and myasthenia gravis.

🌎Conclusion

  • Dr. Fu-Dong Shi’s groundbreaking research and leadership in neuroimmunology have earned him a reputation as one of the most influential researchers in the field. His work has provided valuable insights into immune system involvement in neurological diseases and led to the development of novel diagnostic and therapeutic approaches. Dr. Shi’s dedication to advancing scientific understanding and improving patient care makes him an outstanding candidate for the Best Researcher Award

📖Publications

  • Spatial structural abnormality maps associated with cognitive and physical performance in relapsing-remitting multiple sclerosis
    Authors: Z. Zhuo, N. Zhang, F. Ao, D. Tian, Y. Liu
    Journal: European Radiology, 2025

  • Multiplex proteomics identifies inflammation-related plasma biomarkers for aging and cardio-metabolic disorders
    Authors: S. Wu, Y. Li, X. Zhao, F. Shi, J. Chen
    Journal: Clinical Proteomics, 2024

  • Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging
    Authors: Y. Li, Z. Zhuo, C. Liu, C. Ye, Y. Liu
    Journal: NeuroImage, 2024

  • Differential diagnosis of suspected multiple sclerosis: global health considerations
    Authors: J.D. Correale, A.J. Solomon, J.A. Cohen, B.I. Yamout, K. Fujihara
    Journal: [No source information available]

  • High Frequency of Autoantibodies in COVID-19 Patients with Central Nervous System Complications: a Multicenter Observational Study
    Authors: J. Lin, D. Zheng, D. Tian, F. Shi, H. Wang
    Journal: Molecular Neurobiology, 2024

Tongguo Shi | Cancer | Best Researcher Award

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Dr. Tongguo Shi | Cancer | Best Researcher Award

Tongguo Shi is an Associate Researcher at the First Affiliated Hospital of Soochow University, specializing in cancer immunology and molecular medicine. He earned his PhD from Nanjing University in 2016 and has since focused on tumor immune evasion, immune checkpoint regulation, and colorectal cancer research. His work has been published in leading journals such as Cancer Immunology, Immunotherapy and Cell Death & Disease, with multiple studies highlighting novel therapeutic targets. With expertise in molecular biology and immunological assays, he is dedicated to advancing cancer immunotherapy and precision medicine.

Dr. Tongguo Shi | The First Affiliated Hospital of Soochow University | China

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🎓Education

  • Tongguo Shi earned his PhD from Nanjing University in 2016, following his undergraduate studies at Liyi University, where he obtained a BA in 2010. His academic journey has equipped him with a strong foundation in medical and biological research, particularly in immunology and oncology.

👨‍🏫Experience

  • Currently serving as an Associate Researcher at the First Affiliated Hospital of Soochow University, Tongguo Shi has been contributing to medical research since December 2021. Prior to this role, he worked as a Research Associate at the same institution from 2017 to 2021, where he gained extensive experience in cancer immunology and molecular medicine. He also served as a Research Associate at the Center of Systems Medicine, Chinese Academy of Medical Sciences, from 2016 to 2017, further strengthening his expertise in cellular and molecular research.

🏆Awards and Recognitions

  • Throughout his career, Tongguo Shi has established himself as a leading researcher, contributing significantly to cancer immunotherapy and colorectal cancer studies. His role as a corresponding author in multiple high-impact journal publications highlights his expertise and recognition in the scientific community. His work on immunological mechanisms in cancer and inflammatory diseases has been widely cited, demonstrating the impact of his research.

💡Skills and Certifications

  • Tongguo Shi specializes in immuno-oncology, with a focus on tumor microenvironments, immune evasion mechanisms, and cancer immunotherapy. His research has explored the role of immune checkpoints such as B7-H3 and Tim-3 in colorectal and gastric cancers, as well as the impact of microRNAs on immune regulation in inflammatory diseases. His skills include molecular biology techniques, immunological assays, cancer cell signaling analysis, and translational research aimed at developing novel therapeutic strategies.

🔬 Research Focus

  • His research has led to groundbreaking findings on the interactions between immune cells and cancer cells, with a particular emphasis on T cell-mediated immune responses. He has published extensively in prestigious journals such as Cancer Immunology, Immunotherapy, Cell Death & Disease, Mucosal Immunology, and Gut, further advancing the understanding of cancer immunology and potential therapeutic interventions.

🌎Conclusion

  • Dr. Tongguo Shi exemplifies scientific excellence and collaborative leadership in cancer research. His work has significantly advanced the understanding of tumor immunology, cancer metabolism, and immunotherapy through high-impact interdisciplinary collaborations. His strong publication record, mentorship, and institutional partnerships highlight his commitment to groundbreaking discoveries that benefit both scientific progress and patient outcomes.

📖Publications

  • Elevated SPARC Disrupts the Intestinal Barrier Integrity in Crohn’s Disease by Interacting with OTUD4 and Activating the MYD88/NF‐κB Pathway
    Authors: J. Wang, Jiayu; Y. He, Yuxin; X. Zhu, Xingchao; J. Zhu, Jinghan; Z. Deng, Zilin; H. Zhang, Huan; Y. Chen, Yanjun; G. Zhang, Guangbo; T. Shi, Tongguo; W. Chen, Weichang
    Journal: Advanced Science, 2025

  • FASN Promotes Lipid Metabolism and Progression in Colorectal Cancer via the SP1/PLA2G4B Axis
    Authors: X. Liu, Xin; J. Lu, Jiachun; X. Ni, Xiangyu; Y. He, Yuxin; J. Wang, Jiayu; Z. Deng, Zilin; G. Zhang, Guangbo; T. Shi, Tongguo; W. Chen, Weichang
    Journal: Cell Death Discovery, 2025

  • Exploring the Link Between Noncoding RNAs and Glycolysis in Colorectal Cancer
    Authors: L. Xu, Liang; Y. Shen, Yu; C. Zhang, Chuanqiang; T. Shi, Tongguo; X. Sheng, Xuejuan
    Journal: Journal of Cellular and Molecular Medicine, 2025

  • The m6A Revolution: Transforming Tumor Immunity and Enhancing Immunotherapy Outcomes
    Authors: T. Shi, Tongguo; H. Zhang, Huan; Y. Chen, Yueqiu
    Journal: Cell & Bioscience, 2025

  • Exosome-Derived Proteins in Gastric Cancer Progression, Drug Resistance, and Immune Response
    Authors: J. Wang, Jiayu; H. Zhang, Huan; J. Li, Juntao; X. Ni, Xiangyu; W. Yan, Wenying; Y. Chen, Yueqiu; T. Shi, Tongguo
    Journal: Cellular & Molecular Biology Letters, 2024

Xin-Gui Li | Sustainable Materials | Best Researcher Award

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Prof. Dr. Xin-Gui Li | Sustainable Materials | Best Researcher Award

Xin-Gui Li is a distinguished professor at Tongji University specializing in polymer materials, nanomaterials, and functional polymers. He earned his Ph.D. in Polymer Materials from Donghua University in 1989 and has held visiting positions at prestigious institutions like MIT, Harvard, and Cambridge. His research focuses on fluorescent chemosensors, liquid-crystalline polymers, ion-selective electrodes, and water purification technologies. A recipient of multiple Natural Science Prizes and the Chang-Jiang Scholar Award, he has made significant contributions to materials science and environmental engineering while mentoring numerous Ph.D. students worldwide.

Prof. Dr. Xin-Gui Li | Tongji University | China

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🎓Education

  • Xin-Gui Li earned his Ph.D. in Polymer Materials from China Textile University (now Donghua University) in 1989. He previously completed his Master’s degree in Polymer Materials at the same institution in 1986. His undergraduate studies were at East China Institute of Textile Science & Technology (now Donghua University), where he received a Bachelor’s degree in Chemical Fiber in 1982.

👨‍🏫Experience

  • Xin-Gui Li is a distinguished professor with extensive experience in academia and research. He has been a tenured professor at Tongji University since 2005 and has served as the Director of the Institute of Materials Chemistry at the same institution since 2003. His international experience includes visiting and adjunct positions at leading institutions such as MIT, Harvard University, Kyoto University, University of Cambridge, University of Oxford, UCLA, and Technische Universität Berlin. Over his career, he has mentored numerous graduate and Ph.D. students, many of whom have pursued research at prestigious universities worldwide.

🏆Awards and Recognitions

  • Throughout his career, Xin-Gui Li has received numerous accolades for his contributions to science and education. He has been awarded the Natural Science Prize multiple times by Shanghai Municipality and the Ministry of Education in China. His international recognitions include the FY2018 JSPS Invitational Fellowship for Research in Japan and scholarships from the Royal Society UK. He has also been honored as an excellent Ph.D. supervisor at Tongji University and has received the Special Expert Allowance Award from the Chinese government. His achievements further include the ACS Membership Award and the prestigious Chang-Jiang (Cheung Kong Scholar) Professor Prize.

💡Skills and Certifications

  • Xin-Gui Li specializes in polymer materials, nanomaterials, and functional polymers. His expertise extends to liquid-crystalline polymers, fluorescent chemosensors, and water purification technologies. He has significant experience in designing and synthesizing materials for ion-selective electrodes, adsorption membranes, and separation technologies. His research contributions have had a broad impact on materials science, chemistry, and environmental engineering.

🔬 Research Focus

  • His primary research interests include fluorescent chemosensors, nanomaterials such as nanoparticles and nanofibers, and ion-selective electrodes based on conjugated polymers. He is actively engaged in developing advanced functional polymers and liquid-crystalline materials. His work also extends to environmental applications, including water treatment and purification through adsorption and membrane separation technologies. He has led several research projects funded by the National Natural Science Foundation of China and other key institutions, contributing significantly to the advancement of polymer science and nanotechnology.

🌎Conclusion

  • Xin-Gui Li’s exceptional research achievements, global recognition, high citation impact, academic leadership, and industrial collaborations make him a highly deserving candidate for the Best Researcher Award. His groundbreaking contributions in nanomaterials and polymer chemistry have not only advanced scientific knowledge but also led to real-world applications that benefit society. Awarding him this honor would be a well-deserved recognition of his sustained excellence in research and innovation.

📖Publications

  • High Energy-Efficiency Decomplexation of Metal-Complexes by H-Mediated Electro-Reduction on Hydroxyphenyl Co-Porphyrin Catalysts
    Authors: J. Li, Junjian; H. Gong, Hanwen; Y. Wei, Yuxuan; M. Pan, Meilan; M. Zhou, Minghua
    Journal: Journal of Hazardous Materials, 2024

  • Porphyrin-Based Covalent Organic Frameworks from Design, Synthesis to Biological Applications
    Authors: X. Li, Xingui; J. Li, Junjian; J. Chen, Jinfeng; J. Zheng, Jie; J. Ma, Jie

  • Perspective into Ion Storage of Pristine Metal-Organic Frameworks in Capacitive Deionization
    Authors: X. Li, Xingui; J. Chen, Jinfeng; X. Wang, Xinyu; F. Yu, Fei; J. Ma, Jie

  • Soft-Hard Interface Design in Super-Elastic Conductive Polymer Hydrogel Containing Prussian Blue Analogues to Enable Highly Efficient Electrochemical Deionization
    Authors: Y. Ren, Yifan; F. Yu, Fei; X. Li, Xingui; Y. Yamauchi, Yusuke; J. Ma, Jie
    Journal: Materials Horizons, 2023

  • Hormetic Dose-Response of Halogenated Organic Pollutants on Microcystis Aeruginosa: Joint Toxic Action and Mechanism
    Authors: Y. Zhang, Yueheng; Q. Gao, Qing; S. Liu, Shushen; X. Li, Xingui; H. Sun, Haoyu
    Journal: Science of the Total Environment, 2022

Fei Xiao | Engineering | Innovative Research Award

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Dr. Fei Xiao | Engineering | Innovative Research Award 

Xiao Fei is an expert in civil and airport engineering, specializing in cryogenic material storage, geothermal energy, and data analytics. He holds a PhD in Civil Engineering from Nanyang Technological University and has extensive research experience in underground LNG storage and grouting technologies. Currently based at Nanjing University of Aeronautics and Astronautics, he has also worked with institutions like Shanghai Jiao Tong University and Huazhong University of Science and Technology. His skills include finite element analysis, data modeling, and structural optimization. Xiao Fei has received multiple academic awards, including the SRMEG Outstanding Paper Award.

Dr. Fei Xiao | Nanjing University of Aeronautics and Astronautics | China

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🎓Education

  • Xiao Fei obtained a PhD in Civil Engineering from Nanyang Technological University (NTU), Singapore, between August 2014 and August 2018. Prior to that, he earned a Master of Engineering in Naval Architecture and Ocean Engineering from Shanghai Jiao Tong University (SJTU) from September 2011 to March 2014. His undergraduate studies were completed at Huazhong University of Science and Technology (HUST), where he graduated magna cum laude with a Bachelor of Science degree in Naval Architecture and Ocean Engineering from September 2007 to June 2011.

👨‍🏫Experience

  • Xiao Fei has gained professional experience through roles in both academia and industry. He worked as an Assistant Engineer at Germanischer Lloyd (GL, Shanghai) from November 2013 to January 2014, where he was responsible for 3D modeling of a 10,000 TEU container ship. Additionally, he served as a work assistant at SJTU’s Graduate School (2011-2013) and held leadership positions in student organizations. His industry experience includes an assistant surveyor role at Registro Italiano Navale (RINA, Shanghai) in early 2011, where he was involved in quality control testing and structural inspections.

🏆Awards and Recognitions

  • Xiao Fei has received multiple prestigious awards throughout his academic and professional career. He won the Best Presentation and Outstanding Paper Award at the SRMEG (Singapore) in 2021, as well as the Second Runner-up Outstanding Paper Award in 2018-2019. During his studies at SJTU, he was awarded the American Bureau of Shipping Scholarship (Top 10%) in 2013 and the China Classification Society Scholarship (Top 23%) in 2012. He has also been recognized for his leadership, receiving the Outstanding Student Leader Award at both SJTU (2012) and HUST (2010). His achievements include academic excellence scholarships, self-reliance scholarships, and recognition for moral and extracurricular contributions at HUST.

💡Skills and Certifications

  • Xiao Fei possesses a strong technical skill set, including proficiency in finite element analysis using COMSOL Multiphysics, ANSYS, and ABAQUS. He is adept at designing and conducting experiments, performing data post-processing, and developing application programs using MATLAB and C Language. His expertise extends to data analysis with MATLAB and IBM SPSS, as well as 2D and 3D modeling using AutoCAD and Poseidon.

🔬 Research Focus

  • Xiao Fei has been extensively involved in research projects related to underground LNG storage, high-pressure grouting technology for tunneling, and stability analysis of offshore structures. At the SJ-NTU Corporate Lab from May 2019 to May 2021, he worked on determining the configuration of pit-type storage systems, developing cost estimation and optimization models, and building numerical models for thermal and mechanical analysis. During his PhD at NTU (2015-2019), he focused on high-pressure grouting for tunneling, employing artificial neural networks for predictive modeling and developing simulations for grout penetration in fractured rock systems. His earlier research at SJTU (2012-2013) and HUST (2011) involved stability and reliability analysis of top-tensioned risers in real sea conditions and stress intensity factor analysis in offshore structures.

🌎Conclusion

  • Dr. Fei Xiao is highly suitable for the Research for Innovative Research Award, given his exceptional research contributions, innovative problem-solving, and leadership in advancing engineering knowledge. His work aligns with the award’s goal of recognizing researchers who push the boundaries of technology and sustainability.

📖Publications

  • Innovative measures for thermal performance enhancement of single well-based deep geothermal systems: existing solutions and some viable options
    Authors: F. Xiao*, Z. Zhao, L. Yang
    Journal: Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2022

  • Numerical simulation of single well geothermal system based on the artificial geyser concept considering phase change and multiphysics coupling
    Authors: Z. Chen, F. Xiao*
    Journal: Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2025

  • Thermal runaway prevention and mitigation for lithium-ion battery-powered electric aircraft: challenges and perspectives
    Authors: L. Yang, F. Liu, F. Li, Z. Chen, J. Wang, L. Gao, F. Xiao, J. Sun, A. Romagnoli
    Journal: Aerospace Traffic and Safety, 2024

  • Revisiting the evaluation of hydraulic transmissivity of elliptical rock fractures in triaxial shear-flow experiments
    Authors: Y. Ji, H. Hofmann, E. H. Rutter, F. Xiao*, L. Yang
    Journal: Rock Mechanics and Rock Engineering, 2022

  • Performance enhancement of horizontal extension and thermal energy storage to an abandoned exploitation well and satellite LNG station integrated ORC system
    Authors: F. Xiao*, L. Yang, L. He, A. Gil, S. Rajoo, Z. Zhao, A. Romagnoli, L. F. Cabeza
    Journal: Applied Thermal Engineering, 2022

Junli Liu | Lipid Metabolism | Best Researcher Award

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Dr. Junli Liu | Lipid Metabolism | Best Researcher Award 

Junli Liu, M.D., Ph.D., is an Associate Researcher and Deputy Chief Technologist at The First Affiliated Hospital of Xinxiang Medical University. Specializing in neurology, he focuses on metabolism, neurohomeostasis, and the effects of environmental exposure on neurodegenerative diseases. As a Master’s Supervisor, he actively contributes to clinical research, stroke genetics, and neuro-rehabilitation. He holds key positions in several medical associations and has published extensively in leading scientific journals. His work integrates clinical epidemiology and molecular biology to advance neurological research and patient care.

Dr. Junli Liu | The First Affiliated Hospital of Xinxiang Medical University | China

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🎓Education

  • Junli Liu holds a Medical Doctor (M.D.) degree and a Ph.D. in Neurology, specializing in clinical research and neuropathology. With a strong academic foundation, he has advanced expertise in the study of neurological disorders, metabolism, and neurohomeostasis.

👨‍🏫Experience

  • Currently serving as an Associate Researcher and Deputy Chief Technologist at The First Affiliated Hospital of Xinxiang Medical University, Junli Liu plays a vital role in medical research and clinical practice. He is also a Master’s Supervisor in Neurology at Xinxiang Medical University, guiding postgraduate students in their academic and professional development. His expertise extends to clinical epidemiology, stroke genetics, and neuro-rehabilitation, contributing significantly to national and provincial scientific projects.

🏆Awards and Recognitions

  • Junli Liu has earned recognition for his contributions to neurology and medical research through active participation in prestigious scientific committees and associations. He holds key positions such as a Standing Committee Member of the Stroke and Genetics Branch of the Henan Stroke Association and a Youth Committee Member of the Clinical Epidemiology and Evidence-Based Medicine Branch of the Henan Medical Association. His research and leadership have significantly influenced advancements in stroke genetics and neurohomeostasis.

💡Skills and Certifications

  • With a deep understanding of neuropathology, Junli Liu specializes in metabolism and neurohomeostasis, environmental exposure, and neurodegenerative diseases. His research integrates clinical epidemiology, advanced proteomics, and molecular biology to explore the underlying mechanisms of neurological disorders. His technical skills encompass clinical research methodologies, data analysis, and evidence-based medicine, contributing to innovative medical solutions and improved patient care.

🔬 Research Focus

  • Junli Liu’s research primarily revolves around metabolism and neurohomeostasis, emphasizing how metabolic imbalances contribute to neurological disorders. He also investigates the impact of environmental exposure on neurodegenerative diseases, shedding light on factors that influence cognitive decline and neural health. His publications cover diverse topics, including diabetes-induced endoplasmic reticulum stress, cerebral small vessel disease, vascular injury mechanisms, and the protective effects of neuroactive compounds. Through his extensive studies, he strives to enhance understanding and treatment strategies for neurological conditions.

🌎Conclusion

  • Dr. Junli Liu stands out as an exceptional researcher in neurology, with significant contributions to stroke genetics, neurodegenerative diseases, and neurohomeostasis. His extensive publication record in high-impact journals, leadership roles in prestigious medical associations, and active involvement in national and provincial research projects demonstrate his commitment to advancing neurological science and clinical research.

📖Publications

  • Thioredoxin 1 overexpression attenuated diabetes‐induced endoplasmic reticulum stress in Müller cells via apoptosis signal‐regulating kinase 1
    Authors: X. Yu, Q. Teng, K. Bao, M. Chudhary, H. Qi, W. Zhou, H. Che, J. Liu, X. Ren, L. Kong
    Journal: Journal of Cellular Biochemistry, 2023

  • The correlation between the severity of cerebral microbleeds and serum HMGB1 levels and cognitive impairment in patients with cerebral small vessel disease
    Authors: M. Wang, J. Liu, F. Wang, Q. Li, J. Zhang, S. Ji, S. Li, C. Lu, J. Zhao
    Journal: Frontiers in Aging Neuroscience, 2023

  • Proteomics-based evaluation of the mechanism underlying vascular injury via DNA interstrand crosslinks, glutathione perturbation, mitogen-activated protein kinase, and Wnt and ErbB signaling pathways induced by crotonaldehyde
    Authors: M.-Z. Xie, J.-L. Liu, Q.-Z. Gao, D.-Y. Bo, L. Wang, X.-C. Zhou, M.-M. Zhao, Y.-C. Zhang, Y.-J. Zhang, G.-A. Zhao, L.-Y. Jiao
    Journal: Clinical Proteomics, 2022

  • Protective effect of Liraglutide on diabetic retinal neurodegeneration via inhibiting oxidative stress and endoplasmic reticulum stress
    Authors: J. Liu, L. Wei, Z. Wang, S. Song, Z. Lin, J. Zhu, X. Ren, L. Kong
    Journal: Neurochemistry International, 2020

  • Triterpenoids from functional mushroom Ganoderma resinaceum and the novel role of Resinacein S in enhancing the activity of brown/beige adipocytes
    Authors: Y. Huang, G. Wei, X. Peng, G. Hu, H. Su, J. Liu, X. Chen, M. Qiu
    Journal: Food Research International, 2020

Ying Wang | Advanced Materials Engineering | Best Researcher Award

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Prof. Ying Wang | Advanced Materials Engineering | Best Researcher Award 

Ying Wang is an Associate Professor in the Department of Macromolecular Science at Fudan University. She earned her Ph.D. in Macromolecular Science and Engineering from Virginia Tech and also holds a Master’s degree in Statistics. Her research focuses on solid-state polymer electrolytes for high-energy-density lithium batteries, integrating machine learning for materials discovery. She has extensive experience in polymer science, statistical modeling, and AI-driven materials optimization. Recognized as a Shanghai Leading Talent, she has received numerous awards, including the China National Natural Science Fund for Excellent Young Scientists. Her work advances sustainable energy storage through innovative polymer materials.

Prof. Ying Wang | Fudan University | China

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🎓Education

  • Ying Wang earned her Ph.D. in Macromolecular Science and Engineering from Virginia Tech in December 2016 under the guidance of Professor Louis A. Madsen. Her doctoral research focused on the development and characterization of advanced polymer electrolytes for sustainable energy storage and conversion. In addition to her Ph.D., she obtained a Master’s degree in Statistics from Virginia Tech in May 2016. She completed her undergraduate studies at Beijing University of Chemical Technology, earning a Bachelor of Engineering in Polymer Science and Engineering in July 2010.

👨‍🏫Experience

  • Ying Wang is currently an Associate Professor in the Department of Macromolecular Science at Fudan University, a position she has held since May 2021. Before joining Fudan, she worked as a Data Scientist at Hughes Network Systems from November 2017 to April 2021, where she applied machine learning and statistical modeling in engineering projects. She also gained postdoctoral research experience at Lawrence Berkeley National Laboratory’s Molecular Foundry from January to October 2017, where she worked on polymer composite membranes for battery applications. Earlier in her career, she was a Visiting Scholar at Deakin University, focusing on the development of solid-state polymer composite electrolytes. Her research journey began as a Graduate Research Assistant at Virginia Tech, where she explored gel electrolytes for energy storage systems, and as a Research Assistant at the Chinese Academy of Sciences, where she investigated ultra-high molecular weight polyethylene.

🏆Awards and Recognitions

  • Ying Wang has received numerous prestigious accolades throughout her career. She was invited to nominate candidates for the 2024 Nobel Prize in Chemistry and has been recognized as a Shanghai Leading Talent in 2022. She received the China National Natural Science Fund for Excellent Young Scientists in 2021 and was honored as a Shanghai Huawei New Engineering Talent in the same year. Her achievements also include innovation awards from Hughes Network Systems, finalist recognition in the Capital One Data Analytics Modeling Competition, and several research travel grants, including the NSF Polymer Travel Award and the Chevron-Phillips Chemical Professional Excellence Travel Award.

💡Skills and Certifications

  • With a strong interdisciplinary background, Ying Wang possesses expertise in polymer science, materials engineering, and statistical modeling. She is highly skilled in machine learning applications for materials science, particularly in developing and screening advanced polymer electrolytes for energy storage devices. Her technical competencies extend to rheology, electrochemical analysis, and nanotechnology, alongside proficiency in AI-driven materials discovery and predictive modeling. She also has significant experience in statistical consulting and data analytics, having worked extensively with experimental design and predictive analysis in both academic and industrial settings.

🔬 Research Focus

  • Ying Wang’s research primarily centers on the development and characterization of solid-state polymer electrolytes for safe and high-energy-density lithium batteries. Her work integrates artificial intelligence and machine learning to design and optimize materials, predict battery lifespan, and understand molecular self-assembly behaviors in polymeric liquid crystals. She also investigates ionic liquid-based polymer systems and their impact on next-generation energy storage technologies. Her contributions include pioneering studies on Li-ion conduction mechanisms, phase transitions, and interfacial transport in advanced polymer and inorganic composite electrolytes. Through her research, she aims to advance the field of sustainable energy solutions by developing high-performance polymer materials with superior ionic conductivity and stability.

🌎Conclusion

  • Dr. Ying Wang’s groundbreaking research, interdisciplinary approach, and strong leadership make her an ideal candidate for the Best Researcher Award. Her work not only advances scientific knowledge but also contributes to real-world technological solutions, particularly in the development of safer and more efficient energy storage systems. With her impressive achievements, recognition, and commitment to innovation, she exemplifies the qualities of an outstanding researcher whose contributions will continue to shape the future of materials science and energy technology.

📖Publications

  • Solid-state rigid-rod polymer composite electrolytes with nanocrystalline lithium ion pathways
    Authors: Y. Wang, C.J. Zanelotti, X. Wang, R. Kerr, L. Jin, W.H. Kan, T.J. Dingemans, …
    Journal: Nature Materials, 2021

  • Highly conductive and thermally stable ion gels with tunable anisotropy and modulus
    Authors: Y. Wang, Y. Chen, J. Gao, H.G. Yoon, L. Jin, M. Forsyth, T.J. Dingemans, …
    Journal: Advanced Materials, 2016

  • Double helical conformation and extreme rigidity in a rodlike polyelectrolyte
    Authors: Y. Wang, Y. He, Z. Yu, J. Gao, S. Ten Brinck, C. Slebodnick, G.B. Fahs, …
    Journal: Nature Communications, 2019

  • Molecular alignment and ion transport in rigid rod polyelectrolyte solutions
    Authors: Y. Wang, J. Gao, T.J. Dingemans, L.A. Madsen
    Journal: Macromolecules, 2014

  • Water and sodium transport and liquid crystalline alignment in a sulfonated aramid membrane
    Authors: J. Gao, Y. Wang, B. Norder, S.J. Garcia, S.J. Picken, L.A. Madsen, …
    Journal: Journal of Membrane Science, 2015

Jie Chao | DNA Nanotechnology | Best Researcher Award

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Prof. Jie Chao | DNA Nanotechnology | Best Researcher Award 

Prof. Jie Chao is a leading researcher in DNA nanotechnology and biomedical diagnostics. She earned her PhD from Nanjing University and currently serves as the Director of the National Key Laboratory of Biological Intelligent Materials and Diagnosis & Treatment Technologies and Dean of Portland College at Nanjing University of Posts and Telecommunications. She has pioneered intelligent DNA nanodevices for precise disease diagnosis and targeted therapy, introducing novel concepts such as “pattern recognition” molecular sensing and “logical decision-making” diagnostics. With 149 SCI publications and multiple national research projects, she is a recipient of the National Excellent Young Scientist Fund and Jiangsu Province Outstanding Youth Fund.

Prof. Jie Chao | Nanjing University of Posts and Telecommunications | China

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🎓Education

  • Prof. Jie Chao received her PhD degree from Nanjing University, where she developed a strong foundation in nanotechnology, molecular diagnostics, and biomedical engineering. Her academic journey has been marked by a dedication to advancing DNA nanodevices and their applications in precision medicine.

👨‍🏫Experience

  • Currently serving as a Professor at Nanjing University of Posts and Telecommunications, Prof. Jie Chao holds several key leadership positions. She is the Director of the National Key Laboratory of Biological Intelligent Materials and Diagnosis & Treatment Technologies (Fostering Construction Site) and the Dean of the Portland College at Nanjing University of Posts and Telecommunications. With extensive experience in research and innovation, she has pioneered the concepts of “pattern recognition” molecular sensing and “logical decision-making” intelligent diagnosis and therapy, contributing significantly to the field of biomedical engineering.

🏆Awards and Recognitions

  • Prof. Chao has been recognized for her outstanding contributions to science and technology. She is a recipient of the National Excellent Young Scientist Fund and the Jiangsu Province Outstanding Youth Fund. Her groundbreaking research has been extensively featured in prestigious international journals, underscoring her impact on the scientific community.

💡Skills and Certifications

  • Her expertise lies in DNA nanotechnology, chemical and biological sensing, molecular diagnostics, targeted therapy, and intelligent biomedical devices. She specializes in designing and assembling programmable DNA nanodevices with precise structures and functions, enabling advanced applications in disease detection and treatment. Her work integrates molecular self-adaptation and self-driving mechanisms, pushing the boundaries of intelligent medical diagnostics.

🔬 Research Focus

  • Prof. Chao’s research is centered on developing innovative in vitro diagnostic techniques and targeted therapeutic strategies for major diseases. She has made significant advancements in constructing dynamic DNA nanodevices with hierarchical assembly methods, enabling deep molecular search and parallel computation at the single-molecule level. Her pioneering strategies in pattern recognition and intelligent decision-making in DNA nanodevices have led to a deeper understanding of biological recognition mechanisms, opening new possibilities for precise medical diagnostics and treatment. Her groundbreaking studies have been published in top-tier journals such as Nature Materials, Nature Chemistry, Science Advances, Journal of the American Chemical Society, Angewandte Chemie International Edition, and ACS Nano, cementing her position as a leader in the field of DNA nanotechnology.

🌎Conclusion

  • Prof. Jie Chao is an exemplary scientist whose research has significantly advanced DNA nanotechnology, biomedical diagnostics, and intelligent disease therapy. Her ability to combine interdisciplinary knowledge with innovative methodologies has led to groundbreaking discoveries with global impact. With an outstanding track record in research, innovation, leadership, and academic contributions, she is a highly deserving candidate for the Best Researcher Award. Her pioneering work not only contributes to the advancement of scientific knowledge but also has profound implications for improving medical diagnostics and treatment worldwide

📖Publications

  • Artificial molecular communication network based on DNA nanostructures recognition
    Authors: J. Wang, M. Xie, L. Ouyang, C. Fan, J. Chao
    Journal: Nature Communications, 2025

  •  Parameter Pool-Assisted Centrifugation Sorter for Multiscale Higher-Order DNA Nanomaterials
    Authors: L. Ouyang, J. Wang, B. Liu, C. Fan, J. Chao
    Journal: ACS Nano, 2025

  • The enhancing effect of DNA tetrahedron-based lactoferrin as an assembled adjuvant in immunotherapy
    Authors: M. Xu, T. Zhou, B. Yang, D. Zhu, L. Weng
    Journal: Chemical Engineering Journal, 2025

  •  Non-discriminating engineered masking of immuno-evasive ligands on tumour-derived extracellular vesicles enhances tumour vaccination outcomes
    Authors: X. Ding, J. Zhang, S. Wan, D.T. Leong, L. Wang
    Journal: Nature Nanotechnology, 2025

  • Non-enzymatic aptazyme-driven autonomous DNA circuits coupled with three-junction CHA for amplified live-cell ATP imaging
    Authors: D. Zhu, Y. Hu, Y. Xia, S. Su, L. Wang
    Journal: Sensors and Actuators B: Chemical, 2024

Wei Zhang | Gynecological Oncology | Best Researcher Award

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Prof. Wei Zhang | Gynecological Oncology | Best Researcher Award 

Zhang Wei is a distinguished Chief Physician at Wuhan University Zhongnan Hospital with over 30 years of experience in obstetrics and gynecology. He holds a PhD in Urology from Wuhan University and specializes in gynecological oncology, ovarian cancer, and advanced therapeutic strategies. His research focuses on cancer stemness, molecular mechanisms, and innovative treatments like nanotechnology and gene therapy. As a principal investigator, he has led multiple national research projects and published in prestigious journals such as Nature Communications, Cell Reports, and JAMA.

Prof. Wei Zhang | Wuhan University | China

Profile

SCOPUS ID

🎓Education

  • Zhang Wei obtained a PhD in Urology from Wuhan University in 2007, following a Master’s degree in Gynecological Oncology from the same institution in 1995. His academic journey began with a Bachelor’s degree in Clinical Medicine from Hubei Medical College, completed in 1989.

👨‍🏫Experience

  • With over three decades of experience in the medical field, Zhang Wei has held several key positions in obstetrics and gynecology. Since May 2016, he has been serving as the Chief Physician at Wuhan University Zhongnan Hospital. Prior to this, he held the same position at Wuhan University Renmin Hospital from 2004 to 2016. His earlier career includes roles as Associate Chief Physician, Attending Physician, and Physician at Wuhan University People’s Hospital from 1989 to 2004.

🏆Awards and Recognitions

  • Zhang Wei has made substantial contributions to medical research, publishing in top-tier journals such as Nature Communications, Cell Reports, and JAMA. His work has advanced the understanding of cancer biology, particularly in ovarian and cervical cancers. He has served as a co-corresponding or sole corresponding author in multiple high-impact publications. While no specific awards are listed, his role as a principal investigator in major national research projects highlights his leadership in the field.

💡Skills and Certifications

  • Zhang Wei possesses deep expertise in clinical gynecology, surgical oncology, and molecular cancer research. His skills include advanced diagnostics, innovative treatment development, and large-scale clinical research management. His proficiency in leading multidisciplinary teams and securing national research funding underscores his influence in the field of gynecological oncology.

🔬 Research Focus

  • Zhang Wei’s research primarily focuses on gynecological oncology, ovarian cancer, and innovative treatments for uterine fibroids. His recent work explores molecular mechanisms of cancer progression, transcription factor regulation, and advanced therapeutic strategies, including nanotechnology and gene therapy. He has led several significant research projects, including National Natural Science Foundation and Ministry of Science and Technology grants, investigating cancer stemness maintenance, pelvic floor dysfunction, and cervical lesion screening.

🌎Conclusion

  • Zhang Wei is a highly deserving candidate for the Research for Best Researcher Award due to his remarkable contributions to gynecological oncology research, his leadership in national projects, and his impactful publications in world-class journals. His work has advanced cancer research, improved women’s health interventions, and set a high standard for future researchers in the field.

📖Publications

  • Aggresome formation promotes ASK1/JNK signaling activation and stemness maintenance in ovarian cancer
    Authors: Y. Chen, Yurou; Y. Qiang, Yulong; J. Fan, Jiachen; W. Zhang, Wei; F. Li, Feng
    Journal: Nature Communications, 2024

  • Matrix stiffness affects tumor-associated macrophage functional polarization and its potential in tumor therapy
    Authors: J. Xiong, Jiaqiang; R. Xiao, Rourou; J. Zhao, Jiahui; W. Zhang, Wei; M. Wu, Meng
    Journal: Journal of Translational Medicine, 2024

  • AmpFire HPV and ScreenFire RS HPV validation trial
    Authors: J. Hou, Jun; J.L. Belinson, Jerome Leslie; H. Du, Hui; X. Qu, Xinfeng; R. Wu, Ruifang
    Journal: American Journal of Clinical Pathology, 2024

  • KDM5C-Mediated Recruitment of BRD4 to Chromatin Regulates Enhancer Activation and BET Inhibitor Sensitivity
    Authors: Y. Qiang, Yulong; J. Fan, Jiachen; C. Xie, Chuanshuai; K. Liang, Kaiwei; F. Li, Feng
    Journal: Cancer Research, 2024

  • Transcriptome-wide N6-methyladenosine (m6A) methylation profiling of long non-coding RNAs in ovarian endometriosis
    Authors: H. Liu, Hengwei; J. Liang, Jiaxin; X. Dai, Xin; W. Zhang, Wei; Y. Liu, Yi
    Journal: Genomics, 2024 [/orcid_protect]

Zhengchang Wu | Veterinary Medicine | Best Researcher Award

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Prof. Zhengchang Wu | Veterinary Medicine | Best Researcher Award 

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Zheng-chang Wu is a Professor in the Department of Animal Science at Yangzhou University, specializing in animal genetics, breeding, and reproduction. He earned his Ph.D. (2017), M.Sc. (2013), and B.Sc. (2011) from Yangzhou University. As a visiting scholar at Agriculture and Agri-Food Canada (2018-2019), he expanded his expertise in livestock genetics. His research focuses on genetic resistance to Escherichia coli infections in pigs, genome-wide association studies, and epigenetic regulation in livestock. He has secured funding from the Jiangsu Agricultural Science and Technology Innovation Fund and the Natural Science Foundation of Jiangsu Province. An accomplished researcher, Dr. Wu has published extensively in high-impact journals, contributing significantly to disease resistance in swine populations.

Prof. Zhengchang Wu | Yangzhou University | China

Profile

SCOPUS ID

🎓Education

  • Zheng-chang Wu pursued his academic journey at Yangzhou University, where he earned his Bachelor of Science degree in 2011. He continued his education at the same institution, obtaining a Master of Science degree in 2013 and a Ph.D. in Agricultural Science in 2017. His academic background has provided him with a strong foundation in animal genetics, breeding, and reproduction.

👨‍🏫Experience

  • Currently serving as a professor in the Department of Animal Sciences at Yangzhou University since September 2023, Zheng-chang Wu has made significant contributions to the field of animal genetics. His professional journey includes an international academic exchange as a visiting scholar at Agriculture and Agri-Food Canada (AAFC) in Ottawa, where he conducted research from May 2018 to May 2019.

🏆Awards and Recognitions

  • Zheng-chang Wu has received recognition for his research through multiple grants and funding projects. He has secured support from the Jiangsu Agricultural Science and Technology Innovation Fund for his study on genome-wide breeding strategies in the context of African Swine Fever. Additionally, his research on the CeRNA regulation mechanism of circ_FUT2 in Escherichia coli F18 resistance in weaned piglets has been funded by the Natural Science Foundation of Jiangsu Province.

💡Skills and Certifications

  • With a deep specialization in animal genetics, breeding, and reproduction, Zheng-chang Wu has developed extensive expertise in molecular biology, genome-wide association studies, and disease resistance mechanisms in pigs. His research integrates advanced genetic analysis techniques, including DNA methylation and RNA sequencing, to enhance breeding strategies and improve animal health.

🔬 Research Focus

  • Zheng-chang Wu’s research primarily explores the genetic mechanisms underlying disease resistance in pigs, with a particular focus on Escherichia coli F18 susceptibility. His studies investigate how genetic modifications, such as DNA methylation and non-coding RNA regulation, influence immune responses and resistance traits. Additionally, his work extends to porcine circovirus type 2 replication, genome-wide breeding strategies, and the functional roles of key genes in animal reproduction and immunity. His findings contribute significantly to animal breeding advancements and livestock disease control strategies.

🌎Conclusion

  • Based on his academic achievements, extensive research output, high-impact publications, and innovative contributions to animal genetics, Zheng-chang Wu is a highly suitable candidate for the Best Researcher Award. His ability to bridge fundamental research with practical applications in veterinary medicine sets him apart as a distinguished researcher in the field.

📖Publications

  • Paeoniflorin Inhibits Porcine Circovirus Type 2 Replication by Inhibiting Autophagy and Targeting AKT/mTOR Signaling

    • Authors: Z. Wu, Zhengchang; L. Yu, Luchen; Y. Hu, Yueqing; W. Bao, Wenbin; S. Wu, Shenglong
    • Journal: Veterinary Sciences, 2025

  • TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

    • Authors: Z. Bi, Zhenbin; W. Wang, Wei; S. Gu, Shanshen; W. Bao, Wenbin; H. Wang, Haifei
    • Journal: Veterinary Research, 2025

  • DNA ligase III mediates deoxynivalenol exposure-induced DNA damage in intestinal epithelial cells by regulating oxidative stress and interaction with PCNA

    • Authors: X. Zhu, Xiaoyang; J. Wu, Jiayun; X. Chen, Xiaolei; W. Bao, Wenbin; H. Fan, Hairui
    • Journal: International Journal of Biological Macromolecules, 2024

  • Identification of Tissue Expression Characteristics of Pig ALKBH5 and Its Association with Pathogenic Microbial Infection

    • Authors: Yuan Bian; Y. Xu, Yifan; W. Bao, Wenbin; Z. Wu, Zhengchang
    • Journal: Biology Bulletin, 2024

  • Characterization of the molecular role that ST3GAL1 plays in porcine susceptibility to E. coli F18 infection

    • Authors: Z. Wu, Zhengchang; M. Li, Meiqi; J. Wu, Jiayun; J. Jin, Jian; Y. Wu, Yanqing
    • Journal: International Journal of Biological Macromolecules, 2024

Haowen Wang | Recommendation System | Best Researcher Award

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Mr. Haowen Wang | Recommendation System| Best Researcher Award 

Haowen Wang is an AI researcher and data scientist specializing in machine learning and computational science. He holds a Master’s from Imperial College London and a Bachelor’s from Zhejiang University. Currently an Algorithm Researcher at Alipay, he previously worked at Tencent on recommendation and search algorithms. His research focuses on multi-task learning, causal inference, and deep learning, with publications in SIGKDD, ICLR, and ICONIP. He has won multiple awards, including first place in Kaggle’s “X-RAY Classification” competition.

Mr. Haowen Wang | AntGroup | China

Profile

SCOPUS ID

ORCID ID

🎓Education

  • Haowen Wang obtained his Master of Applied Computational Science and Engineering from Imperial College London in 2021 with Merit. Before that, he completed his Bachelor of Engineering in Energy and Environment at Zhejiang University in 2020, where he was recognized as an Outstanding student.

👨‍🏫Experience

  • Currently, Haowen Wang is an Algorithm Researcher at Alipay, Alibaba Group, where he has developed advanced recommendation systems, improved diversity control, and proposed large-scale model tuning frameworks for multi-modal and multi-task learning. Prior to this, he worked as a Data Scientist at Tencent in Shenzhen and Beijing, where he was responsible for designing data warehouses, improving recommendation algorithms, and conducting large-scale data analysis to enhance user engagement. His experience includes optimizing search algorithms, user retention strategies, and recommendation systems through machine learning techniques and data-driven decision-making.

🏆Awards and Recognitions

  • Haowen Wang has earned several prestigious awards, including first place in Kaggle’s “X-RAY Classification” competition in 2021 and the championship of the KPMG Global Idea Challenge Greater China in 2020. He also won first place in the 12th National University Student Social Practice and Science Contest on Energy Saving & Emission Reduction in 2019, as well as third prize in the China University Students Mechanical Engineering Innovation and Creative Competition. Additionally, he was recognized as a top 10% member of the Excellent Engineer Plan in 2018.

💡Skills and Certifications

  • With a strong background in artificial intelligence and data science, Haowen Wang possesses expertise in machine learning, deep learning, neural networks, data engineering, and computational modeling. He is proficient in Python, Scala, Spark, SQL, and various AI frameworks. His skills extend to advanced algorithm development, data assimilation, and uncertainty quantification, with practical experience in implementing AI-driven solutions in real-world industrial applications.

🔬 Research Focus

  • His research primarily revolves around machine learning, artificial intelligence, and data science, with a strong emphasis on recommendation systems, uplift modeling, causal inference, and multi-task learning. He has made significant contributions to areas such as graph-based embedding for click-through rate prediction, multi-modal document question answering, and Bayesian optimization for sensor development. His expertise extends to deep learning applications in industrial AI and computational science.

🌎Conclusion

  • Given his extensive publication record, impactful research, interdisciplinary collaborations, and significant contributions to AI and data science, Haowen Wang is highly suitable for the Best Researcher Award. His work exemplifies innovation, scientific excellence, and practical relevance, making him a deserving candidate for this recognition.

📖Publications

  • GACE: Learning Graph-Based Cross-Page Ads Embedding for Click-Through Rate Prediction
    Authors: Haowen Wang, Yuliang Du, Congyun Jin, Yujiao Li, Yingbo Wang, Tao Sun, Piqi Qin, Cong Fan
    Journal: Communications in Computer and Science (Book chapter, 2024)

  • Navigating the complexity of hybrid materials without structural dependency: PerovGNN as a map
    Authors: Longhan Zhang, Temesgen Muruts Weldengus, Yu Meng, Siyuan Xu, Zhaoliang Lei, Haowen Wang, Yiteng Zhai, Yao Yang, Ruixuan Song, Jing Jiang
    Journal: Acta Materialia (2024-12)

  • RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning
    Authors: Congyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan et al.
    Journal: Conference paper (2024-08-25)

  • Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
    Authors: Haowen Wang, Tao Sun, Cong Fan, Jinjie Gu
    Journal: Preprint (2023)

  • From Beginner to Expert: Modeling Medical Knowledge into General LLMs
    Authors: Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen et al.
    Journal: Preprint (2023)