Wenyan Wang | Biological Information | Best Researcher Award

Dr. Wenyan Wang | Biological Information | Best Researcher Award 

Wang Wenyan is a PhD student at Anhui University of Technology, specializing in Metallurgical Engineering with a focus on Metallurgical Intelligent Manufacturing. She holds a master’s degree in Control Theory and Control Engineering and a bachelor’s degree in Automation from the same university. Her research centers on artificial intelligence applications in industrial automation and defect detection. She has contributed to patents on apple leaf disease identification using convolutional neural networks and steel surface defect detection. Proficient in C programming and fluent in English (CET-6), she combines technical expertise with innovation in intelligent manufacturing.

Dr. Wenyan Wang | Anhui University of technology | China

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SCOPUS ID

🎓Education

  • Wang Wenyan is currently a PhD student at Anhui University of Technology, specializing in Metallurgical Engineering with a focus on Metallurgical Intelligent Manufacturing. She pursued her master’s degree at the same university from September 2015 to June 2018 in Control Theory and Control Engineering. Her academic journey began at the Anhui University of Technology Business School, where she earned a bachelor’s degree in Automation from September 2011 to June 2015.

👨‍🏫Experience

  • Throughout her academic career, Wang Wenyan has been deeply involved in research and development, particularly in the areas of intelligent manufacturing and industrial automation. Her work integrates advanced control theories and computational techniques to enhance metallurgical processes.

🏆Awards and Recognitions

  • Wang Wenyan has contributed to groundbreaking research in the field of intelligent manufacturing, securing patents that demonstrate her innovative capabilities. She played a key role in the development of a convolutional neural network-based method for identifying apple leaf diseases, which was authorized in 2021. Additionally, she co-developed a method for detecting surface defects in steel products, balancing speed and accuracy, which is currently under examination.

💡Skills and Certifications

  • With a strong technical background, Wang Wenyan is proficient in C programming and has achieved a Level 2 certification. She also has a solid command of the English language, having passed the CET-6 exam. Her expertise lies in control engineering, artificial intelligence applications, and industrial automation.

🔬 Research Focus

  • Her research is centered on intelligent manufacturing within the metallurgical industry, particularly in the application of artificial intelligence and control systems to optimize industrial processes. She is actively engaged in developing advanced defect detection techniques and automation solutions that enhance efficiency and precision in metallurgical engineering.

🌎Conclusion

  • With her strong technical skills, research impact, and pioneering work in intelligent automation, Dr. Wang Wenyan is a highly deserving candidate for the Best Researcher Award. Her contributions hold significant promise for enhancing industrial efficiency, quality control, and smart manufacturing systems.

📖Publications

  • Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning
    Authors: W. Wang, Wenyan; W. Shi, Wei; C. Nie, Chuanqi; B. Wang, Bing; J. Yang, Jialiang
    Journal: Biomedical Signal Processing and Control, 2025

  • SOKD: A Soft Optimization Knowledge Distillation Scheme for Surface Defects Identification of Hot-Rolled Strip
    Authors: W. Wang, Wenyan; Z. Ren, Zheng; C. Wang, Cheng; X. Pan, Xuejuan; B. Wang, Bing
    Journal: ISIJ International, 2025

  • Improving bearing fault diagnosis method based on the fusion of time–frequency diagram and a novel vision transformer
    Authors: J. Wang, Jingyuan; Y. Zhao, Yuan; W. Wang, Wenyan; Z. Wu, Ziheng
    Journal: Journal of Supercomputing, 2025

Hailong Qiu | Catalyze | Best Researcher Award

Assoc. Prof. Dr. Hailong Qiu | Catalyze| Best Researcher Award 

Qiu Hailong is an Associate Professor at Tianjin University of Technology, specializing in functional crystals, optoelectronic materials, and semiconductor research. He holds a Ph.D. in Chemical Engineering & Technology from Harbin Institute of Technology and has completed joint training at UC San Diego and the National University of Singapore. His research focuses on photodetection, electrocatalysis, and nonlinear optics, with numerous high-impact publications in leading journals. Recognized for his contributions, he was selected for the Tianjin Innovation Talent Cultivation Program (2020–2022). His expertise spans material synthesis, photoluminescence, and advanced semiconductor technologies.

Assoc. Prof. Dr. Hailong Qiu | Tianjin University of Technology | China

🎓Education

  • Qiu Hailong holds a Ph.D. in Chemical Engineering & Technology from Harbin Institute of Technology (2010-2014). His academic journey includes joint Ph.D. training in Chemistry & Biochemistry at UC San Diego (2011-2013) and joint M.S. training in Chemical & Biomolecular Engineering at the National University of Singapore (2009-2010). He also earned an M.S. in Inorganic Chemistry (2008-2009) and a B.S. in Applied Chemistry (2004-2008) from Harbin Institute of Technology.

👨‍🏫Experience

  • Qiu Hailong has an extensive academic and research background. Since 2018, he has been serving as an Associate Professor at Tianjin University of Technology. Before that, he worked as a Lecturer at Harbin Institute of Technology (2014-2017) and was a Postdoctoral Researcher at Tsinghua University (2014-2016). His diverse experience across top institutions has significantly contributed to his expertise in functional crystals and material sciences.

🏆Awards and Recognitions

  • Qiu Hailong has been recognized for his contributions to research and innovation. Notably, he was selected for the Tianjin “Innovation Talent Cultivation Program for Young and Middle-Aged Scholars” (2020–2022), which highlights his excellence in scientific research and his potential for driving advancements in his field.

💡Skills and Certifications

  • With a strong foundation in chemical engineering, materials science, and nanotechnology, Qiu Hailong possesses expertise in optoelectronic materials, photoluminescence, laser damage studies, and crystal synthesis. His skills extend to chemical vapor transport methods, semiconductor material development, and electrocatalytic applications, making him a leading researcher in functional materials.

🔬 Research Focus

  • Qiu Hailong’s research is centered on functional crystals, optoelectronic materials, and their applications in photodetection, electrocatalysis, and nonlinear optics. His work explores advanced semiconductor materials such as 2D-SiP, SiAs single crystals, and Weyl semimetals, contributing to breakthroughs in photonic and electronic devices. His studies on photoluminescence, laser damage resistance, and doping effects on optoelectronic properties aim to enhance material performance for next-generation technologies.

🌎Conclusion

  • With his strong academic foundation, outstanding research in functional materials, and recognized leadership, Dr. Qiu Hailong stands out as a deserving recipient of the Best Researcher Award. His pioneering contributions to the field continue to influence scientific advancements and industrial innovations worldwide.

📖Publications

  • Photoluminescence Behaviors of 2D-Cs3Bi2I9/2D-MoS2 Vertical Heterostructures Prepared by the One-Step CVT Growth Method
    Authors: Bojin Zhao, Qiubo Chen, Yukai An, Zhanggui Hu, Yicheng Wu
    Journal: ACS Applied Optical Materials, 2024

  • 976 nm Continuous-Wave Laser Damage of Er:CaF2 Crystals
    Authors: Haiyang Wang, Mengxia Wang, Zhen Zhang, Liangbi Su, Jianda Shao
    Journal: High Power Laser Science and Engineering, 2024

  • Effective Self-Powered Semimetal TaTe2 Photodetector with the Thermal Localization Photothermoelectric Effect from Ultraviolet to Mid-Infrared Range
    Authors: Cong Xia, Tong Yu, Jianying Liu, Jiyang Wang, Yicheng Wu
    Journal: Advanced Optical Materials, 2024

Jie Lin | Economics | Best Researcher Award

Dr. Jie Lin | Economics | Best Researcher Award 

Dr. Jie Lin is a faculty member at the College of Accounting and Finance, Guangdong Polytechnic of Science and Technology. He holds a Ph.D. in Industrial Economics from Jinan University (2018–2022). His research focuses on intelligence science, knowledge economics, international innovation collaboration, and open innovation. His work integrates AI-driven analytics with economic models to optimize knowledge ecosystems and global R&D networks.

Dr. Jie Lin | Guangdong Polytechnic of Science and Technology | China

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ORCID ID

🎓Education

  • Jie Lin holds a Ph.D. in Industrial Economics from the Institute of Industrial Economics at Jinan University, where he studied from 2018 to 2022. His academic background combines expertise in economics with a strong focus on innovation and knowledge systems.

👨‍🏫Experience

  • Jie Lin is currently a faculty member at the College of Accounting and Finance, Guangdong Polytechnic of Science and Technology. His professional experience encompasses both academia and research, specializing in cross-disciplinary studies that integrate intelligence science and economic principles to enhance innovation and global collaboration.

🏆Awards and Recognitions

  • Jie Lin’s research contributions have been widely recognized in the academic community, particularly in the fields of international innovation collaboration and open innovation strategies. His work has been published in leading journals, demonstrating his impact on policy-making and technological advancements.

💡Skills and Certifications

  • With a strong analytical background, Jie Lin specializes in AI-driven economic modeling, policy design for global R&D networks, and the development of open innovation frameworks. His expertise extends to knowledge ecosystem optimization, interdisciplinary research methodologies, and strategic innovation management.

🔬 Research Focus

  • Jie Lin’s research revolves around intelligence science and knowledge economics, where he explores the integration of AI-driven analytics with economic models to optimize knowledge ecosystems. He is deeply engaged in international innovation collaboration, focusing on policy design for global R&D networks and technology transfer mechanisms. His work in open innovation examines strategies for fostering public-private partnerships and knowledge spillovers, contributing to sustainable development and technological progress.

🌎Conclusion

  • Dr. Jie Lin’s groundbreaking contributions, interdisciplinary expertise, and international research impact make him an exceptional candidate for the Research for Best Researcher Award. Recognizing his work would highlight the importance of knowledge-driven economic policies and technological innovation in shaping the future of global sustainability and development.

📖Publications

  • The Impacts of Technological Overlap on International Collaboration in China’s Green Innovation Endeavors
    Authors: Jie Lin, Jianbin Li
    Journal: Scientific Reports, 2025

  • Impacts of Codified Knowledge Index on the Allocation of Overseas Inventors by Emerging Countries: Evidence from PCT Patent Activities in China
    Authors: Hao Zhou, Jie Lin
    Journal: Scientometrics, 2023

  • How Does the Codified Knowledge Relatedness Influence Foreign Intelligence Import in Emerging Countries: Evidence from Chinese PCT Activities
    Authors: Hao Zhou, Jie Lin
    Journal: Preprint, 2022

  • Impact of Codified Knowledge Index on the Allocation of Overseas Inventors by Emerging Countries—Evidence from PCT Patent Activities in China
    Authors: Hao Zhou, Jie Lin
    Journal: Preprint, 2022

Lu Yao | Economics | Best Researcher Award

Dr. Lu Yao | Economics | Best Researcher Award 

Dr. Lu Yao is a researcher specializing in digital infrastructure and green technology innovation. As a lecturer at Taiyuan Normal University, her work focuses on integrating digital transformation with sustainability initiatives to drive regional economic and environmental progress in Shanxi Province. She has led multiple research projects, contributed to policy recommendations, and collaborated with industry stakeholders to optimize resource utilization and industrial transformation. With expertise in digital solutions, policy analysis, and data-driven research, Dr. Lu’s work bridges technological innovation and sustainable development, fostering a digitally empowered and eco-friendly economy.

Dr. Lu Yao | Taiyuan Normal University | China

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🎓Education

  • Dr. Lu Yao holds a doctoral degree in digital infrastructure and green technology innovation. Her academic journey has been dedicated to exploring the intersection of digital transformation and sustainable development, equipping her with a strong foundation in policy research, environmental sustainability, and technological advancements.

👨‍🏫Experience

  • As a lecturer at Taiyuan Normal University, Dr. Lu has been actively engaged in both teaching and research, focusing on integrating digital infrastructure with green technology solutions. She has led and participated in various projects aimed at regional economic transformation and environmental sustainability. Her work extends beyond academia, involving collaborations with industries and policymakers to implement digital solutions that drive sustainable growth.

🏆Awards and Recognitions

  • Dr. Lu’s contributions to digital and green technology innovation have been recognized through multiple awards and honors. Her groundbreaking research on sustainable digital transformation has earned her accolades from academic institutions, research organizations, and government bodies. Her work in policy-driven development has also been acknowledged for its impact on regional sustainability strategies.

💡Skills and Certifications

  • Dr. Lu possesses expertise in digital infrastructure, green technology innovation, policy analysis, and data-driven research methodologies. She is proficient in developing strategic frameworks that integrate digital solutions with sustainability initiatives. Her skills also include interdisciplinary research, collaboration with industry stakeholders, and the application of digital transformation strategies to real-world environmental challenges.

🔬 Research Focus

  • Dr. Lu’s research revolves around leveraging digital infrastructure to enhance sustainability and green technology innovation. She explores how digital transformation can optimize resource utilization, drive eco-friendly advancements, and support industrial transformation in Shanxi Province. Her work has contributed to policy recommendations and strategic frameworks that integrate technology into sustainable development efforts. Through empirical studies and data-driven insights, she examines the impact of digital platforms on environmental sustainability, bridging the gap between innovation and practical implementation in regional economic growth.

🌎Conclusion

  • Dr. Lu Yao’s research excellence, cross-disciplinary impact, and commitment to sustainable digital transformation make her a highly deserving candidate for the Research for Best Researcher Award. Honoring her with this award would recognize her groundbreaking work in green technology innovation, policy recommendations, and the integration of digital infrastructure for sustainable development.

📖Publications

  •  Research on Digital Infrastructure Construction Empowering New Quality Productivity
    Authors: Yao Lu, Aoyu Li, Erwang Yan
    Journal: Scientific Reports, 2025

Feng Chen | Crop Genetics | Best Researcher Award

Prof. Feng Chen | Crop Genetics | Best Researcher Award 

Feng Chen is a distinguished professor and Vice Dean of the Agronomy College at Henan Agricultural University. He earned his BS and MS degrees from Henan Agricultural University and completed his PhD at the Chinese Academy of Agricultural Sciences. With extensive postdoctoral research experience in genetics at the Chinese Academy of Sciences, Washington State University, and the University of Bologna, he has also been a visiting scholar at the University of California, Davis. His research focuses on genetics and plant breeding, aiming to enhance crop resilience and agricultural sustainability. Through academic leadership and international collaborations, he continues to contribute significantly to agricultural science and education.

Prof. Feng Chen |Henan Agricultural University | China

🎓Education

  • Feng Chen completed his Bachelor’s and Master’s degrees at Henan Agricultural University from 1996 to 2003. He then pursued his PhD at the Chinese Academy of Agricultural Sciences, where he conducted in-depth research from 2003 to 2006.

👨‍🏫Experience

  • After earning his doctorate, Feng Chen engaged in postdoctoral research in genetics at the Institute of Genetics and Development Biology, Chinese Academy of Sciences, from 2006 to 2008. He further expanded his research expertise internationally, serving as a postdoctoral researcher at Washington State University, USA, in 2008 and later at the University of Bologna, Italy, from 2009 to 2010. His global academic experience continued as a visiting scholar at the University of California, Davis, from 2012 to 2013. Since March 2010, he has been a distinguished professor at Henan Agricultural University, where he plays a significant role in advancing agricultural research and education. In September 2022, he was appointed Vice Dean of the Agronomy College at Henan Agricultural University, further contributing to academic leadership and institutional development.

🏆Awards and Recognitions

  • Throughout his career, Feng Chen has received numerous awards for his contributions to agricultural science and genetics. His research achievements have been recognized both nationally and internationally, reflecting his dedication to scientific advancement and education.

💡Skills and Certifications

  • Feng Chen possesses extensive expertise in genetics, plant breeding, and agricultural sciences. His skills encompass advanced genetic research methodologies, cross-disciplinary collaboration, and academic leadership. With a strong background in both theoretical and applied agricultural research, he has significantly contributed to the development of innovative farming techniques and sustainable agricultural practices.

🔬 Research Focus

  • Feng Chen’s research primarily revolves around genetics and plant breeding, with a particular focus on improving crop resilience and productivity. His work integrates cutting-edge genetic technologies to enhance agricultural sustainability and food security. Through international collaborations and interdisciplinary studies, he continues to drive impactful research that addresses global agricultural challenges.

🌎Conclusion

  • Dr. Feng Chen’s outstanding research achievements, leadership, and international impact make him a highly deserving candidate for the Research for Best Researcher Award. His work in genetic advancements in agronomy not only enhances scientific knowledge but also contributes to solving real-world agricultural challenges. Honoring him with this award would recognize his dedication to advancing agricultural sciences, global food security, and innovative farming solutions.

📖Publications

  • TaRLK‐6A promotes Fusarium crown rot resistance in wheat
    Authors: Haijun Qi, Xiuliang Zhu, Wenbiao Shen, Xia Yang, Chaozhong Zhang, Genying Li, Feng Chen, Xuening Wei, Zengyan Zhang
    Journal: Journal of Integrative Plant Biology

  • A TaSnRK1α Modulates TaPAP6L‐Mediated Wheat Cold Tolerance through Regulating Endogenous Jasmonic Acid
    Authors: Lingran Zhang, Ning Zhang, Sisheng Wang, Hongyan Tian, Lu Liu, Dan Pei, Xiaodong Yu, Lei Zhao, Feng Chen
    Journal: Advanced Science

  • Integrated genome‐wide association study and QTL mapping reveals qSa‐3A associated with English grain aphid, Sitobion avenae (Fabricius) resistance in wheat
    Authors: Yue Zhao, Xuefang Yan, Zhankui Zeng, Dehui Zhao, Peng Chen, Yuying Wang, Feng Chen, Chunping Wang
    Journal: Pest Management Science

  • First Record of Cyst Nematode (Heterodera filipjevi) on Winter Wheat from Shanxi Province in North China
    Authors: Haohao Ren, Xiangkui Xu, Changbin Ge, Bo Zhou, Shijun Jiang, Lin Zhou, Pingan Liao, Feng Chen, Jiangkuan Cui
    Journal: Plant Disease

  • Mapping QTL conferring flag leaf senescence in durum wheat cultivars
    Authors: Yan Ren, Xiaonan Sun, Jingyun Nie, Peng Guo, Xiaohui Wu, Yixiao Zhang, Mengjuan Gao, Mohsin Niaz, Xia Yang, Congwei Sun et al.
    Journal: Molecular Breeding

Dengke Bao | Tumor biology | Best Researcher Award

Prof. Dr. Dengke Bao | Tumor biology | Best Researcher Award 

Dengke Bao, Ph.D., is a professor, Ph.D. supervisor, and Deputy Dean at the School of Pharmacy, Henan University. He is a recipient of the Excellent Youth Fund Project of the Henan Natural Science Foundation and the 2022 China Postdoctoral Science Foundation Funding. His research focuses on mitochondria-related mechanisms in tumorigenesis, cancer progression, and immune regulation. He has published 20+ SCI-indexed papers in top journals like Oncogene and Cell Death & Disease and serves as an editorial member for Scientific Reports. His work provides new insights into tumor microenvironment remodeling and drug resistance in cancer therapy.

Prof. Dr. Dengke Bao | Henan University | China

🎓Education

  • Dengke Bao holds a Ph.D. and has established himself as a distinguished professor and Ph.D. supervisor. His academic journey has been marked by excellence, leading to his recognition as a Program for Central Plains Youth Top Talent and a recipient of multiple prestigious research grants.

👨‍🏫Experience

  • Currently serving as the Deputy Dean of the School of Pharmacy at Henan University, Dengke Bao has played a pivotal role in advancing molecular diagnostics and therapy. He is also the Deputy Director of the Henan Engineering Research Center for Molecular Diagnosis and Therapy of Esophageal Cancer and the Director of the Laboratory of Biomarkers and Liquid Biopsy in Kaifeng. His work has significantly contributed to understanding mitochondria-related mechanisms in tumorigenesis, cancer progression, and tumor immune regulation.

🏆Awards and Recognitions

  • Dengke Bao has been honored with numerous awards, including the Excellent Youth Fund Project of the Henan Natural Science Foundation and recognition as a Young Core Instructor of Henan. He was also a recipient of the 2022 China Postdoctoral Science Foundation Funding, highlighting his exceptional contributions to the field of oncology research.

💡Skills and Certifications

  • With a deep expertise in tumor biology and the tumor microenvironment, Dengke Bao specializes in investigating mitochondrial damage-associated molecular patterns (DAMPs) and their role in inflammatory responses and cancer therapy resistance. His research combines molecular biology, oncology, and immunology to uncover new therapeutic strategies for hepatocellular carcinoma (HCC) and other malignancies.

🔬 Research Focus

  • Dengke Bao’s research is centered on understanding how mitochondrial damage-associated molecular patterns influence the tumor microenvironment and immune regulation. His groundbreaking study demonstrated that sorafenib treatment in HCC induces the release of mitochondrial DNA into the tumor microenvironment, promoting M2 macrophage polarization through TLR9 activation and enhancing sorafenib resistance. His findings offer a new perspective on targeting mitochondrial DAMPs to reprogram tumor-associated macrophages, providing novel strategies to improve therapeutic efficacy and overcome drug resistance in cancer treatment.

 📚 Publications and Editorial Roles

  • Dengke Bao has authored over 20 SCI-indexed papers as a first or corresponding author in high-impact journals, including Oncogene, Journal of Experimental & Clinical Cancer Research, and Cell Death & Disease. He also serves as an editorial member for Scientific Reports, further solidifying his influence in the field of cancer research.

🌎Conclusion

  • Given his exceptional research contributions, leadership, and impact in oncology, Dengke Bao is a highly suitable nominee for the Research for Best Researcher Award. His work is not only innovative but also holds great promise for improving cancer treatment and patient outcomes, making him a deserving recipient of this prestigious recognition.

📖Publications

  • TEFM facilitates uterine corpus endometrial carcinoma progression by activating ROS-NFκB pathway

    • Authors: J. Lei, Q. Zhu, J. Guo, D. Bao, R. Guo
    • Journal: Journal of Translational Medicine, 2024
  • Tenofovir disoproxil fumarate mediates neuronal injury by inducing neurotoxicity

    • Authors: X. Yang, J. Zhang, Y. Cheng, H. Liu, D. Bao
    • Journal: European Journal of Clinical Microbiology and Infectious Diseases, 2023
  • PRRSV infection activates NLRP3 inflammasome through inducing cytosolic mitochondrial DNA stress

    • Authors: H. Li, X. Yang, Y. Song, B. Wan, D. Bao
    • Journal: Veterinary Microbiology, 2023

Xiaoling Lv | Immune Response | Young Scientist Award

Assoc. Prof. Dr. Xiaoling Lv | Immune Response | Young Scientist Award

Lv Xiaoling is a professor at Shanxi Agricultural University specializing in veterinary pathology and molecular virology. With extensive experience in teaching and research, Lv has led multiple courses and participated in significant national research projects. The primary research focuses on the mechanisms of nerve injury caused by porcine hemagglutinating encephalomyelitis virus (PHEV) and host cell damage induced by Eimeria parasites in poultry. Contributions include multiple SCI publications, a national patent, and recognition through various research grants and awards.

Assoc. Prof. Dr. Xiaoling Lv | Shanxi Agricultural University | China

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🎓Education

  • Lv Xiaoling obtained a doctoral degree with a focus on veterinary pathology and virology. During the doctoral stage, the research primarily centered on the mechanism of nerve injury caused by porcine hemagglutinating encephalomyelitis virus (PHEV), leading to significant contributions in the field of veterinary medicine.

👨‍🏫Experience

  • As a professor at Shanxi Agricultural University, Lv Xiaoling leads multiple undergraduate courses, including Veterinary Pathology, Veterinary Pathological Anatomy, Veterinary Pathophysiology, and Veterinary Clinical Pathology. The professional journey includes active participation in several high-impact research projects, such as three general projects of the National Natural Science Foundation of China, a National Youth Science Foundation project, and a National Key Research and Development project.

🏆Awards and Recognitions

  • Lv Xiaoling has received various honors, including funding from the Applied Basic Research Program of Shanxi Province, the Shanxi Province Excellent Doctor Work Reward Fund, and the Science and Technology Innovation Fund of Shanxi Agricultural University. These recognitions highlight the contributions made in veterinary pathology and research on host cell damage mechanisms.

💡Skills and Certifications

  • Lv Xiaoling possesses expertise in veterinary pathology, molecular virology, and host-pathogen interactions. The research contributions include multiple publications in renowned journals such as Poultry Science, Parasitology Research, Veterinary Microbiology, and Frontiers in Microbiology. Additionally, there is a patent under process (CN202410568021.7), showcasing innovation in veterinary research.

🔬 Research Focus

  • The primary research areas include investigating the damage mechanisms caused by Eimeria parasites in chickens and understanding the molecular pathways of PHEV infection in nerve cells. The research has contributed to applied basic science, with projects focusing on host cell damage mechanisms, apoptosis pathways, and intracellular trafficking during viral infections.

🌎Conclusion

  • Lv Xiaoling’s work in veterinary pathology and host-pathogen interactions has significantly advanced understanding in the field. Through dedicated research and teaching, valuable insights have been gained into viral infections and parasitic damage mechanisms, contributing to disease prevention and control in animal health.

📖Publications

  • EtROP38 suppresses apoptosis of host cells infected with Eimeria tenella by inhibition of the p38MAPK pathway
    Authors: Buting Duan, Haoyu Zhang, Zi Hao Song, Xiaoling Lv, Mingxue Zheng, et al.
    Journal: Veterinary Parasitology, 2024

Guangzhong Guo | Glioma | Best Researcher Award

Dr. Guangzhong Guo | Glioma | Best Researcher Award

Guangzhong Guo is a resident physician at Zhoukou Central Hospital and a master’s graduate of Zhengzhou University. Specializing in glioma and circulating tumor DNA (ctDNA), he has published four SCI papers and completed two research projects. His work focuses on using ctDNA for dynamic monitoring of glioma recurrence and progression. With expertise in oncological diagnostics and molecular pathology, he integrates research into clinical practice to enhance patient care. He has also contributed to consultancy and industry projects, further advancing neuro-oncology.

Dr. Guangzhong Guo | Zhengzhou University | China

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ORCID ID

🎓Education

  • Guangzhong Guo obtained his master’s degree from Zhengzhou University, where he focused on medical research related to glioma and circulating tumor DNA (ctDNA). His academic journey has been marked by a strong commitment to advancing cancer diagnostics and treatment strategies.

👨‍🏫Experience

  • Currently serving as a resident physician at Zhoukou Central Hospital, Guangzhong Guo applies his medical expertise in clinical settings, contributing to patient care and oncology research. His role involves diagnosing and treating glioma cases while integrating research findings into practical applications for improved patient outcomes.

🏆Awards and Recognitions

  • With a strong academic and clinical background, Guangzhong Guo has been actively involved in oncology research and has contributed to consultancy and industry projects. His dedication to advancing glioma treatment and diagnostics has earned him recognition within the medical research community.

💡Skills and Certifications

  • His core competencies include oncological diagnostics, molecular pathology, and clinical research methodologies. He is adept at analyzing ctDNA for glioma progression monitoring, integrating research insights into patient care, and contributing to innovative treatment approaches.

🔬 Research Focus

  • Guangzhong Guo’s primary research areas include glioma and ctDNA. His work on dynamic ctDNA monitoring offers precise insights into glioma recurrence patterns, enabling better treatment planning and personalized patient management. His commitment to bridging clinical practice with cutting-edge research continues to drive advancements in neuro-oncology.

🌎Conclusion

  • Guangzhong Guo is a highly deserving candidate for the Best Researcher Award due to his groundbreaking contributions to glioma research, commitment to scientific excellence, and impactful clinical applications. His work on ctDNA has the potential to revolutionize glioma diagnosis, recurrence prediction, and treatment monitoring, making him an invaluable asset to the field of neuro-oncology.

📖Publications

  • Dynamic Monitoring of Circulating Tumor DNA to Predict the Risk of Non In Situ Recurrence of Postoperative Glioma
    Author: Guangzhong Guo et al.
    Journal: Cancer Medicine

  • Dynamics of Tumor In Situ Fluid Circulating Tumor DNA in Recurrent Glioblastomas Forecasts Treatment Efficacy of Immune Checkpoint Blockade Coupled with Low-Dose Bevacizumab
    Author: Guangzhong Guo et al.
    Journal: Journal of Cancer Research and Clinical Oncology

  • Predicting Recurrent Glioblastoma Clinical Outcome to Immune Checkpoint Inhibition and Low-Dose Bevacizumab with Tumor In Situ Fluid Circulating Tumor DNA Analysis
    Author: Guangzhong Guo et al.
    Journal: Cancer Immunology, Immunotherapy

  • Tracking Tumor Evolution During the First-Line Treatment in Brain Glioma via Serial Profiling of Cell-Free Tumor DNA from Tumor In Situ Fluid
    Author: Guangzhong Guo et al.
    Journal: Frontiers in Oncology

  • Molecular and Clonal Evolution In Vivo Reveal a Common Pathway of Distant Relapse Gliomas
    Author: Guangzhong Guo et al.
    Journal: iScience

Guangxin Lv | Polymer | Best Researcher Award

Assist. Prof. Dr. Guangxin Lv | Polymer | Best Researcher Award

Guangxin Lv is an Assistant Professor at the School of Sustainable Energy and Resources, Nanjing University. He earned his PhD in Materials Science & Engineering from the University of Illinois, Urbana-Champaign, where he studied the thermal conductivity of polymer networks. He then conducted postdoctoral research at MIT under Professor Gang Chen, focusing on the photomolecular effect. His research expertise includes polymeric thermal management materials, heat transfer, and lithium-ion battery technology. With over 18 publications, he continues to advance sustainable energy solutions through innovative material design.

Assist. Prof. Dr. Guangxin Lv | Nanjing University | China

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ORCID ID

🎓Education

  • Guangxin Lv earned a Bachelor of Science degree from Nanjing University’s Kuang Yaming Honor School, an elite program for Physics majors, where he conducted research on lithium-ion batteries, heat transfer, and water treatment. He then pursued a PhD in Materials Science & Engineering at the University of Illinois, Urbana-Champaign, from August 2018 to August 2022, focusing on the thermal conductivity of polymer networks

👨‍🏫Experience

  • Following his doctoral studies, Guangxin Lv worked as a postdoctoral researcher at the Massachusetts Institute of Technology from August 2022 to April 2024 under the supervision of Professor Gang Chen, where he explored the photomolecular effect. In August 2024, he joined the School of Sustainable Energy and Resources at Nanjing University as an Assistant Professor, leading research on polymeric thermal management materials.

🏆Awards and Recognitions

  • Guangxin Lv has contributed extensively to the field, with more than 18 publications in esteemed scientific journals. His research achievements have been recognized through various awards and accolades, reflecting his expertise and impact in materials science and thermal engineering.

💡Skills and Certifications

  • Guangxin Lv possesses expertise in polymeric thermal management materials, thermal conductivity analysis, and heat transfer mechanisms. He is skilled in experimental techniques for material characterization, including thermal and spectroscopic analysis, as well as computational modeling for heat dissipation studies. His proficiency extends to lithium-ion battery technology, photomolecular effects, and advanced polymer network design. With strong analytical and problem-solving abilities, he contributes to the development of energy-efficient and high-performance materials for sustainable applications.

🔬 Research Focus

  • Guangxin Lv’s research focuses on polymeric thermal management materials, exploring their applications in energy-efficient systems and electronics cooling. His work delves into the thermal conductivity of polymer networks, aiming to enhance heat dissipation and thermal regulation in advanced materials. He also investigates photomolecular effects to understand light-induced thermal behaviors at the molecular level. Additionally, his expertise extends to lithium-ion battery technology and heat transfer mechanisms, contributing to the development of sustainable energy solutions and high-performance materials.

🌎Conclusion

  • With a strong academic background, innovative research contributions, and impactful publications, Dr. Guangxin Lv is a highly suitable candidate for the Best Researcher Award. His work in polymeric thermal management materials and photomolecular effects positions him as a leading researcher driving advancements in energy efficiency and materials science.

📖Publications

  • Reversible two-way tuning of thermal conductivity in an end-linked star-shaped thermoset
    Authors: C. M. Hartquist, B. Li, J. H. Zhang, Z. Yu, G. Lv, J. Shin, S. V. Boriskina, G. Chen, X. Zhao, S. Lin
    Journal: Nature Communications, 2024

  • Response to “Comment on ‘Frequency-domain probe beam deflection method for measurement of thermal conductivity of materials on micron length scale’”
    Authors: J. Sun, G. Lv, D. G. Cahill
    Journal: Review of Scientific Instruments, 2024

  • Molecular-Weight Dependence of Center-of-Mass Chain Diffusion in Polymerized Ionic Liquid Melts
    Authors: P. Lan, Q. Zhao, G. Lv, G. S. Sheridan, D. G. Cahill, C. M. Evans
    Journal: Macromolecules, 2023

  • Dynamic Covalent Bonds in Vitrimers Enable 1.0 W/(m K) Intrinsic Thermal Conductivity
    Authors: G. Lv, X. Li, E. Jensen, B. Soman, Y.-H. Tsao, C. M. Evans, D. G. Cahill
    Journal: Macromolecules, 2023

  • Frequency-domain probe beam deflection method for measurement of thermal conductivity of materials on micron length scale
    Authors: J. Sun, G. Lv, D. G. Cahill
    Journal: Review of Scientific Instruments, 2023

Feng Wei | Intelligent Driving | Best Researcher Award

 Dr. Feng Wei | Intelligent Driving | Best Researcher Award

Feng Wei is a PhD student at Tianjin University of Science and Technology, specializing in intelligent driving, image processing, and multimodal fusion. His research focuses on driver drowsiness detection, neural networks, and face super-resolution. He has successfully completed multiple research projects, published five high-impact journal articles, and applied for eight patents. Feng Wei was awarded the Silver Medal at the 49th International Exhibition of Inventions of Geneva for his innovative work on driver fatigue detection. With expertise in AI and human-computer interaction, he continues to develop advanced solutions for intelligent transportation and safety systems.

 Dr. Feng Wei | Tianjin University of Science and Technology | China

Profile

SCOPUS ID

🎓Education

  • Feng Wei is a PhD student at the College of Artificial Intelligence and the College of Mechanical Engineering at Tianjin University of Science and Technology, China. His academic journey has been focused on the intersection of artificial intelligence and mechanical engineering, equipping him with a deep understanding of cutting-edge technologies in these fields.

👨‍🏫Experience

  • Feng Wei has actively contributed to multiple research projects, successfully completing three provincial and ministerial-level projects, with one as the principal investigator. Additionally, he has led and participated in two industry-funded projects, demonstrating his ability to bridge academic research with real-world applications. His work extends to collaborative projects, including the development of an AI Facial Recognition Interaction System with a budget of 1 million CNY and a Graph Database-Based Graph Analysis System with a budget of 300,000 CNY.

🏆Awards and Recognitions

  • Feng Wei was honored with the Silver Medal at the 49th International Exhibition of Inventions of Geneva for his groundbreaking project on “Driver Fatigue and Abnormal Behavior Detection Technology Based on Multimodal Information.” This recognition highlights his innovative contributions to intelligent driving and human-computer interaction technologies.

💡Skills and Certifications

  • With expertise in artificial intelligence, image processing, and multimodal fusion, Feng Wei specializes in driver drowsiness detection, neural networks, and face super-resolution. His proficiency in advanced AI-driven technologies enables him to develop innovative solutions for complex problems in intelligent transportation systems.

🔬 Research Focus

  • Feng Wei’s research revolves around intelligent driving, focusing on driver drowsiness detection and multimodal analysis to enhance road safety. His work effectively addresses the challenge of individual driver variability in drowsy driving detection, contributing significantly to the field. He has published five high-quality journal articles, four of which are in top-tier SCI Q1 journals. Additionally, he has applied for eight patents, with one already published, showcasing his commitment to technological innovation and real-world impact.

🌎Conclusion

  • Feng Wei’s research addresses critical societal and technological challenges, particularly in transportation safety. His innovative methodologies, backed by strong academic publications, industry collaborations, and patents, establish him as a leading expert in his field. Given his outstanding contributions and global recognition, he is highly suitable for the Best Researcher Award.

📖Publications

  • A Multi-Aware Graph Convolutional Network for Driver Drowsiness Detection
    Authors: L. Lin, S. Wang, J. Yang, F. Wei
    Journal: Knowledge-Based Systems, 2024