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 MĂźller 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

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🎓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

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🎓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

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🎓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)

Yunling Wu | Materials Science | Best Researcher Award

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Assoc. Prof. Dr. Yunling Wu | Materials Science | Best Researcher Award 

Yunling Wu is an Associate Professor at Nanjing Tech University. He earned his Ph.D. in Chemistry from Soochow University in 2019 and later conducted postdoctoral research in Prof. Yanguang Li’s group. His research focuses on novel organic electrode materials, including MOFs, COFs, HOFs, and conjugated polymers, optimizing their structures for enhanced electrochemical performance. He has led multiple research projects funded by the National Natural Science Foundation of China (NSFC) and has published 32 SCI-indexed papers. He also serves as a Youth Editorial Board member for Carbon Neutralization and Energy Lab, contributing to advancements in sustainable energy storage technologies.

Assoc. Prof. Dr. Yunling Wu | Nanjing Tech University | China

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🎓Education

  • Yunling Wu earned a Ph.D. in Chemistry from Soochow University in June 2019 under the supervision of Prof. Yanguang Li. During his doctoral studies, he focused on the development of novel organic electrode materials, laying a strong foundation for his future research in electrochemical energy storage.

👨‍🏫Experience

  • Following his Ph.D., Yunling Wu continued his research as a postdoctoral fellow in Prof. Li’s group from 2019 to 2022. His work during this period deepened his expertise in organic electrode materials and their applications in energy storage systems. In 2022, he joined Nanjing Tech University as an Associate Professor, where he leads cutting-edge research in advanced battery materials.

🏆Awards and Recognitions

  • Yunling Wu has received competitive research grants, including funding from the National Natural Science Foundation of China (NSFC) and the China Postdoctoral Science Foundation. His contributions to the field have been recognized with editorial appointments, serving as a Youth Editorial Board member for Carbon Neutralization and Energy Lab.

💡Skills and Certifications

  • With a strong background in chemistry and materials science, Yunling Wu specializes in the synthesis and structural optimization of novel organic electrode materials, including metal-organic frameworks (MOFs), covalent organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs), and conjugated polymers. His expertise extends to electrochemical performance analysis, charge storage mechanisms, and the stability of battery materials.

🔬 Research Focus

  • Yunling Wu’s research is centered on developing high-performance organic electrode materials for next-generation energy storage devices. His work aims to enhance the energy density, cycling stability, and conductivity of battery materials through molecular engineering and structural design. By optimizing the electrochemical properties of organic frameworks, his research contributes to the advancement of sustainable and efficient energy storage technologies.

🌎Conclusion

  • Given his outstanding contributions, research leadership, and influence in the field of electrochemical energy storage, Yunling Wu is a highly suitable candidate for the Best Researcher Award. His work has broad implications for next-generation battery technology, making him a strong contender for recognition in scientific excellence.

📖Publications

  • Molecular Engineering of Organic Electrode Materials for Beyond Lithium-Ion Batteries
    Authors: Yunling Wu, Hualin Ye, Yanguang Li
    Journal: Advanced Functional Materials, 2025

  • Graphitic Carbon Nitride (g-C₃N₄) as an Electrolyte Additive Boosts Fast-Charging and Stable Cycling of Graphite Anodes for Li-Ion Batteries
    Authors: Jinze Song, Haoyu Qi, Wangsheng Yuan, Lijun Fu, Yuping Wu
    Journal: Journal of Materials Chemistry A, 2024

  • Challenges and Advances in Rechargeable Batteries for Extreme-Condition Applications
    Authors: Jialing Wu, Yunling Wu, Liguang Wang, Jun Lu, Yanguang Li
    Journal: Advanced Materials, 2024

Yunhai Xiong | 2D Materials | Best Researcher Award

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Dr. Yunhai Xiong | 2D Materials | Best Researcher Award 

Yunhai Xiong is a researcher at the School of Materials Science and Engineering, Nanjing University of Science and Technology. His work focuses on the classification, synthesis, and application of 2D nonlayered materials, specializing in chemical vapor deposition (CVD) techniques and atomic-scale characterization. He has made significant contributions to understanding the physical properties of these materials and their applications in next-generation transistors. With expertise in material synthesis, spectroscopic analysis, and device fabrication, his research aims to advance the development of high-performance electronic materials.

Dr. Yunhai Xiong | Nanjing University of Science and Technology | China

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🎓Education

  • Yunhai Xiong holds a degree in Materials Science and Engineering, specializing in the synthesis and characterization of advanced materials. His academic background has provided him with a strong foundation in chemical vapor deposition (CVD) techniques and the study of two-dimensional materials.

👨‍🏫Experience

  • With extensive experience in materials research, Yunhai Xiong has conducted in-depth studies on nonlayered materials, exploring their chemical composition, crystal structures, and unique properties. He has worked on optimizing CVD growth methods to synthesize high-quality 2D materials and has utilized spectroscopic and atomic-scale characterization techniques to investigate their physical behaviors. His research extends to the development of next-generation electronic devices, particularly transistors, where he has contributed to advancing material applications.

🏆Awards and Recognitions

  • Throughout his career, Yunhai Xiong has received recognition for his contributions to materials science, earning prestigious awards for his research on 2D materials and their applications in electronics. His work has been acknowledged in leading scientific conferences and journals, reflecting the impact of his findings on the field.

💡Skills and Certifications

  • Yunhai Xiong possesses expertise in chemical vapor deposition, spectroscopic analysis, atomic-scale characterization, and device fabrication. His proficiency in material synthesis and analysis allows him to develop innovative approaches for studying nonlayered materials and their electronic applications.

🔬 Research Focus

  • His research primarily revolves around the classification, synthesis, and application of 2D nonlayered materials. By tailoring CVD techniques for specific material systems, he aims to improve the quality and scalability of 2D specimens. His studies on physical properties and structural characteristics provide valuable insights into their potential for electronic applications, particularly in transistor technology. Through his work, he seeks to pave the way for future advancements in the field of 2D materials and their integration into cutting-edge electronic devices.

🌎Conclusion

  • Given his exceptional research contributions, strong publication record, and innovative impact on multiple scientific disciplines, Yunhai Xiong is highly suitable for the Best Researcher Award. His work continues to push the boundaries of 2D material applications, making him a deserving candidate for recognition in scientific excellence.

📖Publications

  • Vapour–liquid–solid–solid growth of two-dimensional non-layered β-Bi₂O₃ crystals with high hole mobility
    Authors: Yunhai Xiong, Duo Xu, Yousheng Zou, Lili Xu, Yujie Yan, Jianghua Wu, Chen Qian, Xiufeng Song, Kairui Qu, Tong Zhao et al.
    Journal: Nature Materials

  • MoirĂŠ Engineering of Spin–Orbit Torque by Twisted WS₂ Homobilayers
    Authors: Xiaorong Liang, Penghao Lv, Yunhai Xiong, Xi Chen, Di Fu, Yiping Feng, Xusheng Wang, Xiang Chen, Guizhou Xu, Erjun Kan et al.
    Journal: Advanced Materials

  • P‐Type 2D Semiconductors for Future Electronics
    Authors: Yunhai Xiong, Duo Xu, Yiping Feng, Guangjie Zhang, Pei Lin, Xiang Chen
    Journal: Advanced Materials

  • Ultrasensitive photodetector based on 2D WS₂/AgInGaS quantum dots heterojunction with interfacial charge transfer
    Authors: Xusheng Wang, Danni Yan, Cheng Zhu, Yiping Feng, Tingting Guo, Runmeng Jia, Kairui Qu, Linyun Li, Tong Zhao, Yunhai Xiong et al.
    Journal: 2D Materials

  • Fast and direct identification of SARS‐CoV‐2 variants via 2D InSe field‐effect transistors
    Authors: Duo Xu, Junji Li, Yunhai Xiong, Han Li, Jialin Yang, Wenqiang Liu, Lianfu Jiang, Kairui Qu, Tong Zhao, Xinyu Shi et al.
    Journal: InfoMat