Lihong Wang | Andrology | Best Researcher Award

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Dr. Lihong Wang | Andrology | Best Researcher Award 

Lihong Wang is a resident doctor at Xuancheng People’s Hospital with a Master of Medicine degree specializing in Urology. His clinical experience is complemented by strong research contributions in andrology, particularly in male infertility and reproductive health. He has published multiple peer-reviewed papers as the first author and proposed an innovative theory aimed at improving treatment outcomes in male infertility. Skilled in patient care, clinical data analysis, and academic writing, he is committed to advancing both medical practice and scientific research in the field of reproductive medicine.

Dr. Lihong Wang | Xuancheng People’s Hospital | China

Profile

ORCID

Education

  • Lihong Wang has earned a Master of Medicine degree with a specialization in Urology. This academic foundation has equipped him with both theoretical and clinical knowledge essential for addressing complex cases in the field of men’s health and reproductive medicine. His postgraduate training has further strengthened his research skills, particularly in andrology, providing him with the expertise to investigate and propose innovative approaches to male reproductive health issues

Experience

  • Lihong Wang is currently serving as a resident doctor at Xuancheng People’s Hospital. He has completed comprehensive clinical rotations that allowed him to gain hands-on experience in patient care, surgical support, and diagnostic practices. His role involves balancing clinical responsibilities with academic research, giving him the ability to apply medical theory to real-world challenges while continuing to refine his professional expertise in urology and andrology.

Awards and Recognition

  • His contributions to research and publications in well-regarded journals highlight his potential to earn recognition in the near future. His dedication to advancing medical science through original work in male infertility demonstrates both commitment and promise, positioning him as a strong candidate for future accolades.

Skills and Expertise

  • Lihong Wang is proficient in patient care, medical decision-making, and clinical data analysis. He is also skilled in academic writing, demonstrated by his multiple publications in peer-reviewed journals. His ability to combine clinical practice with research has allowed him to develop insights that contribute to both improved treatment strategies and the academic understanding of andrology.

Research Focus 

  • His primary area of research is andrology, with a strong emphasis on male infertility and reproductive health. His published work includes the development of an original theory that provides new perspectives for addressing infertility. By bridging clinical practice with innovative thinking, he aims to contribute solutions that improve patient outcomes and broaden the scope of reproductive medicine research.

Publications

A Nomogram for Predicting Infertility Risk in Patients With Varicocele Using Inflammatory Markers
Authors: Lihong Wang, Lei Zheng, Hui Jiang, Tao Jiang
Journal: American Journal of Men’s Health

Azoospermia Due to Functional and Partial Ejaculatory Duct Obstruction: A Rare Case Report and Literature Review
Authors: Lei Zheng, Lihong Wang, Hui Jiang, Tao Jiang
Journal: American Journal of Men’s Health

Does Sperm DNA Fragmentation Index Continuously Decrease Over Time After Varicocelectomy in Varicocele-Induced Infertility? A Systematic Review and Meta-Analysis
Authors: Lihong Wang, Lei Zheng, Hui Jiang, Tao Jiang
Journal: American Journal of Men’s Health

Retrograde Ejaculation Due to Posterior Urethral Stricture: A Rare Case Report
Authors: Lei Zheng, Lihong Wang, Hui Jiang, Tao Jiang
Journal: American Journal of Men’s Health

 

Conclusion

  • Lihong Wang stands out as a dedicated clinician and researcher whose work in andrology and male infertility has already contributed valuable insights to the field. His publications in reputable journals reflect both his academic capability and his commitment to improving reproductive health outcomes. With further opportunities for collaboration, leadership roles, and broader engagement in the scientific community, he is well-positioned to grow into a leading figure in reproductive medicine. His achievements and potential make him a deserving candidate for the Research for Best Researcher Award.

Xiao Wang | Computer Vision | Best Researcher Award

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Prof. Xiao Wang | Computer Vision | Best Researcher Award 

Xiao Wang is an associate professor at the School of Computer Science and Technology at Anhui University. He earned his bachelor degree from West Anhui University and a doctoral degree in computer science from Anhui University, with additional training as a visiting scholar at Sun Yat-sen University and the University of Sydney. He later conducted postdoctoral research at Pengcheng Laboratory in Shenzhen. His research focuses on computer vision, event-based vision, machine learning, and pattern recognition. He has contributed to advancing multi-modal learning and large-scale pre-trained models while serving as an associate editor and reviewer for leading international journals and conferences.

Prof. Xiao Wang | Anhui University | China

Profiles

ORCID

Education

  • Xiao Wang completed his bachelor studies at West Anhui University in Luan, China. He then pursued a doctoral degree in computer science at Anhui University in Hefei, China, under the guidance of Professors Jin Tang and Bin Luo as part of the Multi-Modal Intelligent Computing Group. During his doctoral studies, he broadened his academic exposure through visiting scholar positions at Sun Yat-sen University under Professor Liang Lin and at the University of Sydney in the UBTECH Sydney Artificial Intelligence Centre under Professor Dacheng Tao.

Experience

  • After his doctoral training, he worked as a postdoctoral researcher at Pengcheng Laboratory in Shenzhen, where he collaborated with Professors Feng Wu, Yonghong Tian, and Yaowei Wang. He currently serves as an associate professor at the School of Computer Science and Technology at Anhui University in Hefei. In addition to his teaching and research duties, he also acts as an associate editor for a leading IEEE journal and participates as a program committee member for top international conferences, while frequently serving as a reviewer for prestigious journals and conferences in computer vision and artificial intelligence.

Awards and Recognition

  • He is a recognized member of IEEE and has been entrusted with influential editorial, reviewing, and committee responsibilities. These roles demonstrate the recognition of his professional standing and the trust placed in him by the global academic community.

Skills and Expertise

  • Xiao Wang has strong expertise in event-based vision, deep learning, visual tracking, artificial intelligence, and representation learning. His skills extend beyond technical knowledge, as evidenced by his active editorial roles, peer-review commitments, and program committee services, reflecting his ability to guide and evaluate cutting-edge research.

Research Focus 

  • His research primarily concentrates on computer vision, event-based vision, machine learning, and pattern recognition. He has developed innovative methods for pedestrian attribute recognition across domains, enhanced by large language model frameworks. He has also contributed surveys and analyses on large-scale multi-modal pre-trained models, offering comprehensive insights into architectures, challenges, and future trends.

Publications

Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
Authors: Wang, Xiao; Chen, Guangyao; Qian, Guangwu; Gao, Pengcheng; Wei, Xiao-Yong; Wang, Yaowei; Tian, Yonghong; Gao, Wen
Journal: ArXiv

Tiny Object Tracking: A Large-Scale Dataset and a Baseline
Authors: Zhu, Yabin; Li, Chenglong; Liu, Yao; Wang, Xiao; Tang, Jin; Luo, Bin; Huang, Zhixiang
Journal: IEEE Transactions on Neural Networks and Learning Systems

Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
Authors: Yuan, Chengguo; Jin, Yu; Wu, Zongzhen; Wei, Fanting; Wang, Yangzirui; Chen, Lan; Wang, Xiao
Journal: ArXiv

Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition
Authors: Zhu, Jun; Jin, Jiandong; Yang, Zihan; Wu, Xiaohao; Wang, Xiao
Journal: ArXiv

Pedestrian Attribute Recognition: A Survey
Authors: Wang, Xiao; Zheng, Shaofei; Yang, Rui; Zheng, Aihua; Chen, Zhe; Tang, Jin; Luo, Bin
Journal: ArXiv

Conclusion

  • Xiao Wang has steadily progressed from undergraduate studies to postdoctoral research and now holds a respected academic position at Anhui University. His journey highlights a balance of theoretical innovation and practical contributions to computer vision and artificial intelligence. With his leadership in multi-modal learning and strong engagement in the global research community, he continues to make significant impacts in the field.

Bo He | Orthopaedic Trauma | Best Researcher Award

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Assoc. Prof. Dr. Bo He | Orthopaedic Trauma | Best Researcher Award 

Bo He, M.D., Ph.D. is a postdoctoral researcher at Stanford University and visiting scholar at California Hospital Medical Center. He specializes in peripheral nerve injuries, limb and pelvic fracture treatment, and microsurgical reconstruction. He serves on multiple national medical committees and editorial boards, and has published extensively in leading journals such as Biomaterials, Annals of Biomedical Engineering, and Plastic and Reconstructive Surgery. His research focuses on nerve repair, tissue engineering, and regenerative medicine, including pioneering work on decellularized allogeneic nerve grafts and international guidelines for tissue cryopreservation.

Assoc. Prof. Dr. Bo He | The Third Affiliated Hospital of Sun Yat-Sen University | China

Profile

SCOPUS

Education

  • Bo He pursued a strong foundation in medicine and research, earning both a medical degree and a doctorate in the field of orthopedics and microsurgery. His education combined rigorous clinical training with extensive research experience, providing him with the skills necessary to address complex challenges in orthopedic surgery and nerve repair. His academic journey fostered a deep interest in peripheral nerve regeneration and advanced microsurgical techniques, shaping his future research and clinical contributions.

Experience

  • Bo He has accumulated rich professional experience across clinical practice, research, and academic leadership. He is a postdoctoral researcher at Stanford University and has served as a visiting scholar at California Hospital Medical Center. In addition to his international roles, he actively contributes to professional organizations in China, including the Chinese Medical Doctor Association Orthopedic Branch and the Microsurgery Branch. His editorial responsibilities extend to multiple respected journals, and he has taken on leadership roles in international conferences. His career integrates patient care, clinical innovation, and high-level collaboration with global medical experts.

Awards and Recognition

  • Throughout his career, Bo He has gained recognition for his pioneering work in microsurgery and peripheral nerve repair. His leadership in developing international clinical guidelines on vascularized composite tissue cryopreservation was acknowledged globally and featured on the cover of a prominent medical journal. His invited role as guest editor for a leading neuroscience journal and his contributions as an editorial board member further reflect his standing in the international medical community. His involvement as an ambassador for scientific publishing and as part of international academic events underscores his reputation as an influential figure in his specialty.

Skills and Expertise

  • Bo He possesses advanced surgical expertise in treating peripheral nerve injuries, pelvic and limb fractures, and complex orthopedic conditions involving both bone and soft tissues. His skills extend beyond the operating room into research leadership, scientific writing, and cross-disciplinary collaboration. He is adept at microsurgical techniques, tissue engineering, and regenerative medicine. His experience in translating laboratory findings into clinical applications demonstrates his ability to bridge science and practice. Furthermore, his editorial and academic skills highlight his capacity to evaluate, communicate, and guide research at the highest levels.

Research Focus 

  • Bo He’s research is centered on the repair and reconstruction of peripheral nerve injuries. He has contributed significantly to studies demonstrating the safety and efficacy of decellularized allogeneic nerve grafts, advancing new strategies for clinical application. His interests include tissue engineering, biomaterials, and cryopreservation technologies aimed at improving outcomes in reconstructive surgery. By combining clinical trials with laboratory studies, his work explores the cellular and molecular mechanisms of nerve regeneration, with particular emphasis on the function of Schwann cells and their role in recovery. His research continues to shape the evolving landscape of microsurgery and regenerative medicine.

Publication

  • Runx2 drives Schwann cells repair phenotype switch through chromatin remodeling and Sox2 activation after nerve injury
    Authors: Bo He, Shouwen Su, Zeyu Zhang, Zhongpei Lin, Qinglin Qiu, Yan Yang, Xiaoyue Wen, Zhaowei Zhu
    Journal: Molecular Medicine

  • Transplantation of peripheral nerve tissueoid based on a decellularized optic nerve scaffold to restore rat hindlimb sensory and movement functions
    Authors: Bo He, Shu Liu, Rui Wang, Jing-Hua Liang, Yang-Bin Xu, Yuan-Shan Zeng, etc
    Journal: Biomaterials

  • Visual observation of primary sensory nerve conduction pathways in rats by anterograde tracing with adeno-associated virus
    Author: Bo He
    Journal: Chinese Journal of Microsurgery

Conclusion

  • Bo He has established himself as a highly skilled surgeon, researcher, and academic leader with a global reputation in orthopedic microsurgery and peripheral nerve repair. His education, international experience, and consistent contributions to both clinical and basic research highlight his commitment to advancing medical science. Through his surgical expertise, innovative research, and leadership in international collaborations, he continues to make impactful contributions that benefit both patients and the broader scientific community.

Ciliang Shao | Computer Vision | Best Researcher Award

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Mr. Ciliang Shao | Computer Vision | Best Researcher Award 

Ciliang Shao is an undergraduate student of Computer Science and Technology at Sichuan University, Pittsburgh Institute. His research focuses on computer vision and pattern recognition, with contributions to projects on respiratory motion modeling, cross-modal MRI-TRUS registration, and three-dimensional scene generation. He has co-authored a publication, presented at academic conferences, and earned recognition on the Dean list. Through research projects and an internship at Zhejiang University, he has developed strong skills in deep learning, data processing, and medical imaging applications, reflecting his passion for innovation and commitment to advancing technology for real-world impact.

Mr. Ciliang Shao | Sichuan University | China

Profile

GOOGLE SCHOLAR

Education

  • Ciliang Shao is pursuing undergraduate studies in Computer Science and Technology at Sichuan University within the Pittsburgh Institute. His academic journey has been defined by a strong interest in computer vision and pattern recognition. During his studies, he has consistently demonstrated academic excellence, earning a place on the Dean list. His education has not only provided him with technical knowledge but has also nurtured his ability to engage in innovative research projects addressing real-world challenges

Experience

  • Ciliang Shao has gained valuable experience through participation in research projects and internships. He has contributed to studies on inter-subject lung respiratory motion modeling and cross-modal MRI-TRUS registration in prostate cancer, where he applied advanced frameworks such as E-CMCA and LSTM. In addition, he has worked on the generation of details for infinite three-dimensional scenes. His internship at Zhejiang University further strengthened his technical foundation and problem-solving abilities. These experiences have shaped his research outlook and deepened his commitment to advancing computer vision techniques.

Awards and Recognition

  • Recognition of his academic dedication came through inclusion in the Dean list, highlighting his consistent excellence and strong academic performance. His achievements in both coursework and research projects underscore his potential as a future researcher and innovator in his field.

Skills and Expertise

  • Ciliang Shao has developed strong skills in computer vision, pattern recognition, and deep learning techniques. He is proficient in designing and implementing frameworks for cross-modal data alignment and recognition. His ability to collaborate in group projects has enhanced his teamwork and communication skills, while his internship experience provided hands-on exposure to applying theoretical knowledge in practical settings. His research presentations and published work further reflect his ability to translate complex ideas into meaningful contributions.

Research Focus 

  • His research interests lie at the intersection of computer vision and pattern recognition. He focuses on developing innovative frameworks that enhance accuracy and efficiency in complex data processing tasks, particularly in medical imaging and healthcare applications. By exploring motion modeling and cross-modal data registration, his work aims to support more reliable diagnostic and treatment tools. He is also intrigued by the creative possibilities of generating detailed infinite three-dimensional scenes, expanding the scope of computer vision applications.

Publication

  • Inter-Subject Lung Respiratory Motion Modeling with Motion Artifacts Reduction
    Author: Ciliang Shao, Hejia Zhang, Jingjing He, Yang Ye, Kunpeng Wang
    Journal: Special session CIST

  • E-CMCA and LSTM-Enhanced Framework for Cross-Modal MRI-TRUS Registration in Prostate Cancer
    Author: Ciliang Shao, Ruijin Xue and Lixu Gu.
    Journal: Journal of Imaging (MDPI)

Conclusion

  • Ciliang Shao has demonstrated remarkable research potential through his contributions to computer vision and pattern recognition at an early stage of his academic journey. His work on medical imaging and three-dimensional scene generation reflects both innovation and practical impact. With strong academic achievements, research publications, and recognition such as the Dean list, he is highly suitable for the Best Researcher Award. Continued expansion of collaborations and deeper engagement with global research networks will further strengthen his academic trajectory and establish him as a future leader in his field.

Cao Changqing | Intelligent Perception | Best Researcher Award

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Prof. Cao Changqing | Intelligent Perception | Best Researcher Award 

Prof. Cao Changqing is a researcher at Xidian University specializing in optoelectronic technology, remote sensing, and artificial intelligence image processing. He earned his bachelor’s, master’s, and doctoral degrees in optical engineering from Xidian University and has since dedicated his career to advancing research and teaching in optoelectronics engineering. His work has gained international recognition, including being listed among the top global scientists. He has published widely in leading journals and serves as both reviewer and editor for renowned publishers in optics and photonics. His research focuses on optical imaging algorithms, interferometric techniques, laser dynamics, and phase compensation methods, contributing to the progress of modern optoelectronic science and technology.

Prof. Cao Changqing | Xidian University | China

Profiles

SCOPUS

ORCID

Education

  • Cao Changqing pursued his academic journey entirely at Xidian University, where he built a strong foundation in optical engineering. He advanced from undergraduate to postgraduate studies, ultimately completing his doctoral degree in the same discipline. His long-term academic engagement at the same institution reflects both dedication and a deepening of expertise in the field of optoelectronics.

Experience

  • After completing his education, Prof. Cao continued his career at Xidian University, where he has been engaged in teaching and research in optoelectronics engineering. His role has centered on advancing innovations in optical technologies, remote sensing, and artificial intelligence in image processing. Over the years, he has guided scientific inquiry and contributed significantly to the academic and research environment of the institution.

Awards and Recognition

  • Prof. Cao has earned global recognition for his research contributions, being listed among the top global scientists in recent editions of a prestigious ranking. His achievements demonstrate the international impact of his work and highlight his role as a leading scholar in his areas of expertise.

Skills and Expertise

  • Prof. Cao possesses extensive skills in optoelectronic technology, remote sensing systems, and artificial intelligence image processing. His proficiency extends to advanced imaging algorithms, optical communication techniques, and laser dynamics. He is also highly skilled in scientific publishing and reviewing, serving as a reviewer for well-known international journals and as an editor for respected publications in optics and photonics.

Research Focus 

  • The core of Prof. Cao’s research is centered on advancing optoelectronics, remote sensing, and artificial intelligence image processing. His studies explore optical imaging algorithms, interferometric techniques, and the dynamic characteristics of lasers. He also works on innovations in phase compensation methods, photon-integrated imaging, and polarimetric scattering phenomena, ensuring his contributions remain at the forefront of technological development.

Publication

  • Investigation polarimetric scattering of light from the randomly rough surface based on the calculation of the Mueller matrix
    Author: Song B., Cao C., Feng Z., Wu Z., Yu C., Wei R
    Journal: Optics Express

  • Calibration of SOI Optical Phased Arrays via Improved SPGD Algorithm
    Author: Wang Z., Wu B., Liao J., Li X., Wang C., Sun Y., Jin L., Feng J., Cao C.
    Journal: Optics and Laser Technology, 2023

  • Factors Influencing the Performance of Optical Heterodyne Detection System
    Author: Wu Z., Cao C., Feng Z., Ye S., Li M., Song B., Wei R.
    Journal: Optics and Lasers in Engineering, 2023

  • Improving Distance Imaging Accuracy through Temporal Position Correction with Phase Difference Compensation
    Author: Wu Z., Cao C., Feng Z., Wu X., Duan C., Liu H.
    Journal: Applied Optics, 2023

  • Innovative OPA-based Optical Chip for Enhanced Digital Holography
    Author: Wang Z., Linke Liu, Jiang P., Liao J., Jiamu Xu, Yanling Sun, Ji’n Li, Zhenzhong Lu, Feng J., Cao C.
    Journal: Optics Express, 2023

Conclusion

  • Prof. Cao Changqing is an accomplished scholar whose career combines education, research, and service in the field of optoelectronics. His strong academic background, professional contributions, and international recognition underline his influence in advancing both theoretical and applied aspects of optical engineering and remote sensing. Through his innovative research and editorial service, he continues to shape the future of optical science and technology.

Jian Wang | Reservoir Geology | Best Researcher Award

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Prof. Jian Wang | Reservoir Geology | Best Researcher Award 

Jian Wang is a professor and deputy dean at the School of Geosciences, China University of Petroleum in East China. He specializes in sedimentology and reservoir geology, with research focusing on source to sink systems and the genesis of deep and ultra-deep reservoirs. His work integrates sedimentation, structure, fluid evolution, diagenesis, and physical property analysis to reveal reservoir-forming mechanisms. Recognized as a Taishan Scholar and recipient of several provincial and city-level awards, he has published extensively, holds multiple patents, and actively contributes to international and national academic communities.

Prof. Jian Wang | China University of Petroleum (East China) | China

Profile

SCOPUS

Education

  • Jian Wang pursued his studies in geology at the China University of Petroleum in East China, where he earned both his bachelor’s degree and doctoral degree. During his academic journey, he also enriched his research outlook through an international visiting study at the National University of Ireland Galway. His educational foundation built a strong base for his expertise in sedimentology and reservoir geology, which later became his core research directions.

Experience

  • He has grown into a distinguished scholar and academic leader at the China University of Petroleum in East China, serving as a professor, doctoral supervisor, and deputy dean of the School of Geosciences. Over the years, he has successfully guided numerous research projects, developed patents, published widely in scientific journals, and contributed significantly to the advancement of reservoir geology and sedimentology. His leadership also extends to editorial responsibilities and active roles in academic societies, showcasing both his academic influence and administrative capability.

Awards and Recognition

  • Jian Wang has been honored with several prestigious recognitions for his scientific contributions. He is a recipient of the Taishan Scholar title, the Qingdao Youth Science and Technology Award, and the Qingdao Dandelion Science Popularization Master award. Additionally, his research achievements have been acknowledged with provincial-level first prizes, which highlight the impact and quality of his scholarly work in advancing geosciences and supporting the petroleum industry.

Skills and Expertise

  • His expertise lies in integrating geological theories with practical applications in reservoir geology. He possesses strong skills in fluid-rock interaction simulation, sedimentology, stratigraphic analysis, and reservoir-forming mechanism studies. He also demonstrates proficiency in interdisciplinary approaches, combining structural geology, diagenesis, and geofluid evolution to reveal hidden mechanisms of reservoir formation. His ability to lead projects, publish influential work, and guide students further reflects his strong academic and professional skillset.

Research Focus 

  • Jian Wang’s research revolves around understanding the source to sink system and the genesis of deep to ultra-deep reservoirs. His innovative contributions lie in developing new technologies for simulating fluid-rock interactions under geological constraints and restoring reservoir-forming processes across geological history. He emphasizes the integration of sedimentation, structure, fluid, diagenesis, and physical property analysis to explain the distribution of high-quality reservoirs. His work bridges micro and macro scales, clarifies material transport laws, and supports the practical exploration and exploitation of energy resources.

Publication

  • Marine flooding induced basinal brine mixing and carbonate cementation: An example from Cretaceous ultra-deep clastic reservoirs in the Kuqa Depression, western China
    Author: Jian Wang
    Journal: Marine and Petroleum Geology, 2025

  • Genetic mechanism of quartz cements in Bashijiqike Formation reservoirs of Kelasu Structural Belt, Kuqa Depression
    Author: Jian Wang
    Journal: Journal of China University of Petroleum (Edition of Natural Science), 2025

  • Genetic mechanism of albite cements in Bashijiqike Formation reservoirs of Kelasu Structural Belt, Kuqa Depression
    Author: Jian Wang
    Journal: Journal of China University of Petroleum (Edition of Natural Science), 2024

  • Coupled evolution of basin structure and fluids recorded by microfractures: A case study of deep-buried Ordovician in the Tarim Basin
    Author: Jian Wang
    Journal: Marine and Petroleum Geology, 2024

  • Characteristics and origin of the ultradeep Ordovician fault-karst reservoirs: An example from the Shunbei-Yuejin area, Tarim Basin
    Author: Jian Wang
    Journal: AAPG Bulletin, 2024

Conclusion

  • Jian Wang stands as a leading figure in sedimentology and reservoir geology, blending academic excellence with practical industry applications. His research not only advances scientific understanding but also directly contributes to the petroleum industry through collaborations with major oilfields. With a strong record of publications, patents, awards, and leadership roles, he exemplifies the qualities of a forward-looking geoscientist whose work continues to shape the field of reservoir studies and energy exploration.

Yujuan Tan | AI System | Best Researcher Award

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Prof. Dr. Yujuan Tan | AI System | Best Researcher Award 

Professor Yujuan Tan is a full professor at Chongqing University in the College of Computer Science. She received her bachelor’s degree from Hunan Normal University and both her master’s and doctoral degrees from Huazhong University of Science and Technology. Her research focuses on memory and storage systems, including file systems, data deduplication, hybrid memory architectures, and data management for artificial intelligence. She has received multiple awards for her work, including provincial science and technology progress prizes and best paper recognitions at leading international conferences. With extensive experience in academia and industry collaboration, Professor Tan has made significant contributions to advancing efficient, reliable, and intelligent computing systems.

Prof. Dr. Yujuan Tan | Chongqing University | China

Profiles

SCOPUS

GOOGLE SCHOLAR

Education

  • Yujuan Tan pursued her academic journey in the field of computer science. She earned her bachelor’s degree in computer science from Hunan Normal University in Changsha, where she laid the foundation for her expertise in computing. She later advanced to Huazhong University of Science and Technology in Wuhan, where she obtained both her master’s degree and doctoral degree in computer science under the guidance of Professor Dan Feng. These formative years shaped her strong research orientation and set the stage for her contributions to memory and storage systems

Experience

  • Professor Tan has built an extensive career at Chongqing University, starting as an assistant professor, progressing to associate professor, and later rising to the position of full professor in the College of Computer Science. She has also served as a research scholar at the University of Texas at Arlington in the Department of Computer Engineering, where she gained valuable international research experience. Beyond academia, she has collaborated with leading industries such as Huawei Technologies Co., Ltd. as a research consultant, bridging the gap between theoretical advancements and real-world technological applications.

Awards and Recognition

  • Throughout her career, Professor Tan has received several prestigious recognitions for her impactful research. She has been honored with provincial science and technology progress awards for her contributions to non-volatile storage systems and cloud platform technologies. At international conferences, her research has been acknowledged with best paper finalist and best paper nomination awards, showcasing her innovative approaches in file systems and storage optimization. She has also received recognition from esteemed journals, including a popular paper award for her work in federated learning and mobile systems.

Skills and Expertise

  • Professor Tan’s expertise in computer systems, with specialized skills in file system design, storage management, data deduplication, and hybrid memory technologies. She combines deep theoretical understanding with practical application, evident from her collaborations with industry leaders. Her ability to design system-level solutions, optimize performance in complex environments, and apply storage technologies to artificial intelligence systems highlights her technical leadership. She also demonstrates strong skills in interdisciplinary collaboration, project management, and guiding large-scale research initiatives.

Research Focus 

  • Professor Tan’s research interests center on advancing memory and storage systems. She has made significant contributions to the design and optimization of file systems across persistent memory, flash memory, and multi-tiered architectures. Her work in data deduplication has improved efficiency in backup systems and flash caches, while her studies in hybrid memory architectures have focused on enhancing performance through innovative page management and translation lookaside buffer redesign. More recently, her research has extended to data management in artificial intelligence systems, where she develops methods to leverage data sparsity for efficient large language model cache management and neural network acceleration

Publication

  • LAShards: Low-overhead and Self-adaptive MRC Construction for Non-stack Algorithms
    Authors: S. Zhao, Y. Tan, Z. Zeng, J. Yu, Z. Bai, A. Re, X. Chen, Duo Liu
    Journal: IEEE Transactions on Computers

  • CMCache: An Adaptive Cross-Level Data Placement Method for Multilevel Cache
    Authors: Z. Zeng, Y. Tan, Z. Ma, J. Li, S. Zhao, D. Liu, X. Chen, A. Ren
    Journal: IEEE Transactions on Computer–Aided Design of Integrated Circuits and Systems

  • DSAV: A Deep Sparse Acceleration Framework for Voxel-Based 3-D Object Detection
    Authors: H. Fang, Y. Tan, A. Ren, W. Zhuang, Y. Hua, Z. Qin, D. Liu
    Journal: IEEE Transactions on Computer–Aided Design of Integrated Circuits and Systems

  • GNNBoost: Accelerating sampling-based GNN training on large scale graph by optimizing data preparation
    Authors: Y. Tan, Y. Gan, Z. Zeng, Z. Bai, L. Qiao, D. Liu, K. Zhong, A. Ren
    Journal: Journal of Systems Architecture

  • BGS: Accelerate GNN training on multiple GPUs
    Authors: Y. Tan, Z. Bai, D. Liu, Z. Zeng, Y. Gan, A. Ren, X. Chen, K. Zhong
    Journal: Journal of Systems Architecture

Conclusion

  • Professor Yujuan Tan is a distinguished scholar whose career reflects a balance of academic excellence, industrial collaboration, and technological innovation. Her research in memory and storage systems has significantly influenced both academic communities and industrial practices. By addressing challenges in file systems, hybrid memory, and data-driven artificial intelligence applications, she continues to shape the future of computer science. With her strong leadership, award-winning research, and innovative vision, Professor Tan remains a key figure in advancing the frontiers of computing and data management.

Jian Li | Sustainable Materials | Best Researcher Award

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Mr. Jian Li | Sustainable Materials | Best Researcher Award 

Li Jian, PhD, is a Professor at Central South University and Director of the Hunan Zhengyuan Energy Storage Materials and Devices Research Institute. He has been recognized through national and provincial talent programs and is widely respected for his contributions to energy materials, device manufacturing, and battery recycling. His pioneering work in capacitor-type lithium-ion batteries, ultra-low-temperature battery technology, and advanced recycling methods has positioned him as a leader bridging scientific innovation with industrial application.

Mr. Jian Li | National Natural Science Foundation of China | China

Profile

SCOPUS

Education

  • Li Jian completed his undergraduate studies in nonferrous metallurgy at Jiangxi University of Science and Technology, where he built a strong foundation in material sciences. He continued his academic journey at Central South University, earning a master’s degree in metallurgical engineering and later a doctorate in nonferrous metal metallurgy. His educational background equipped him with deep expertise in materials chemistry, nonferrous metallurgy, and applied engineering, which became the cornerstone of his later research and industrial innovations.

Experience

  • Li Jian is a professor in the Department of Materials Chemistry at the School of Materials Science and Engineering, Central South University. He also serves as the director of the Hunan Zhengyuan Energy Storage Materials and Devices Research Institute. Earlier in his career, he worked as an engineer at the Northwest Research Institute of Mining and Metallurgy and later completed postdoctoral research in materials science at Central South University. His career has combined academic teaching, industrial application, and leadership in large-scale scientific research projects, where he has overseen more than twenty national and provincial-level projects.

Awards and Recognition

  • Li Jian has been honored through prestigious talent programs such as the Liaoning Province Hundred, Thousand, and Ten Thousand Talents Project and Jiangsu Province’s Gusu Leading Entrepreneurial Talent Program. His innovative contributions to materials science and battery technology have earned him awards including the Hunan Provincial Technological Invention Award and the Liaoning Provincial Patent Gold Award. His achievements have been widely recognized both in academia and industry, making him a leading figure in the field of energy materials and recycling technology.

Skills and Expertise

  • Li Jian possesses extensive expertise in the preparation of key materials, device manufacturing, and resource recycling for lithium-ion batteries and supercapacitors. He pioneered a novel capacitor-type lithium-ion battery concept and developed ultra-low-temperature battery technology for public transport. His technical skills extend to designing advanced recycling systems, including the integration of fine disassembly, full-component recovery, and physical repair of used lithium-ion batteries. He also holds multiple patents in high-performance electrode materials, aluminum carbon composite foils, and battery recycling technologies.

Research Focus 

  • Li Jian’s research is centered on advanced energy storage materials and green recycling technologies. He focuses on the industrialization of lithium-ion and supercapacitor technologies, the development of sustainable methods for resource recovery, and the design of next-generation high-performance batteries. His work bridges fundamental research and practical application, leading to innovations that have influenced both scientific progress and industrial practice. His recent research also emphasizes the development of solid-state batteries, intelligent disassembly technologies, and environmentally sustainable energy solutions.

Research Projects

  • Li Jian has led and participated in numerous significant projects under the Ministry of Science and Technology, the Ministry of Industry and  Technology, and the National Natural Science Foundation of China. His work includes developing intelligent disassembly and material collection technologies for power batteries, creating physical repair and regeneration processes for retired lithium batteries, and advancing large-scale green manufacturing systems for lithium-ion battery separators. He has also contributed to projects on rare earth and rare metal applications, high-performance cathode materials, and the development of all-solid-state batteries for new energy vehicles. His research achievements have been industrialized, leading to wide adoption in the energy storage and recycling sectors.

Publication

Study on the performance of spent LiNi1/3Co1/3Mn1/3O2 repaired via in situ conversion and coating of surface lithium impurities
Authors: Jian Li
Journal: Electrochimica Acta

Direct upcycling of spent layered oxide cathodes via a dual-functional eutectic salt for sodium-ion batteries
Authors: Jian Li
Journal: Journal of Materials Chemistry A

Multicolor-MG: An efficient parallel multigrid code based on multicolor block-wise Gauss-Seidel smoothers for 3D natural source electromagnetic forward modeling
Authors: Jian Li
Journal: Geophysics

Understanding the Synergistic Effect of Mg/Co Ions Doping on the Layer-Tunnel Hybrid Structure of Na0.44MnO2 Cathode Materials
Authors: Jian Li
Journal: Small

Design of ultrafast lithium ion channel for solid-state lithium metal batteries by in-situ polymerization induced phase separation
Authors: Jian Li
Journal: Chemical Engineering Journal

Conclusion

  • Through his strong educational foundation, extensive professional experience, and groundbreaking research, Li Jian has made substantial contributions to the advancement of energy storage and recycling technologies. His innovations have broken international barriers, transformed industrial practices, and strengthened the sustainability of new energy industries. As a result, he continues to play a vital role in driving both academic research and practical solutions for global energy challenges.

Jingbo Ma | Orthopedics | Best Researcher Award

Published on by China Scientist

Mr. Jingbo Ma | Orthopedics | Best Researcher Award 

Jingbo Ma is a doctor and postgraduate resident in orthopaedic surgery at The Sixth Medical Center of the People’s Liberation Army General Hospital, Beijing. Specializing in spine surgery, his research focuses on spinal biomechanics, finite element modeling, and minimally invasive techniques for managing degenerative spinal conditions. He has contributed to peer reviewed publications and international presentations, with expertise in advanced spinal instrumentation and complex surgical procedures. Dedicated to integrating research with clinical practice, he aims to improve patient outcomes through innovative surgical approaches and evidence based solutions in spine care.

Mr. Jingbo Ma | The Sixth Medical Center of PLA General Hospital | China

Profile

ORCID

Education

  • Jingbo Ma has pursued advanced medical training in orthopaedic surgery with a specialization in spine surgery. His education provided him with a solid foundation in surgical techniques, spinal anatomy, and clinical research methods. Through postgraduate studies, he has focused on the integration of biomechanics and minimally invasive approaches into spinal care, which has shaped his academic and clinical development

Experience

  • He is currently serving as a postgraduate resident in orthopaedic surgery at The Sixth Medical Center of the People’s Liberation Army General Hospital in Beijing. His professional experience includes active participation in complex surgical procedures, patient management, and the application of advanced spinal instrumentation. Alongside his clinical practice, he has contributed to peer reviewed publications and international conference presentations, gaining recognition for his expertise in spinal biomechanics and degenerative conditions.

Awards and Recognition

  • His contribution to high impact research and publication in an international scientific journal demonstrates his academic merit. His research achievements and presentations at professional forums reflect his recognition within the medical research community.

Skills and Expertise

  • He is skilled in spinal biomechanics research, finite element modeling, and data analysis. His expertise also includes minimally invasive surgical techniques, advanced spinal instrumentation, and comprehensive patient care in spine surgery. Beyond clinical practice, he is proficient in research design, manuscript drafting, interdisciplinary collaboration, and critical evaluation of medical literature.

Research Focus 

  • His research is centered on the biomechanics of the lumbar spine, with an emphasis on finite element modeling and the role of the posterior ligamentous complex in stability and stress distribution. He focuses on advancing minimally invasive spinal surgery techniques and exploring new methods to manage degenerative spinal conditions. His work bridges clinical practice with computational modeling to enhance both surgical outcomes and patient recovery.

Publication

From single ligament to multi-ligament injury: a finite element study on the contribution of the posterior ligamentous complex to segmental stability and intervertebral disc stress distribution

Authors: Jingbo Ma, Yu Ding, Rigbat Rozi, Jiaheng Han, Qiang Jiang

Journal: BMC Musculoskeletal Disorders

Conclusion

  • Jingbo Ma is a dedicated spine surgery resident and researcher whose career combines clinical expertise with innovative research. His contributions to spinal biomechanics and minimally invasive surgical approaches highlight his commitment to improving patient outcomes through evidence based practice. With a strong balance of surgical skills, research capabilities, and academic contributions, he continues to strengthen his role as a promising orthopaedic surgeon and spine specialist.

Assoc. Prof. Dr. Zongjunlin Liu | Tumor | Best Researcher Award

Published on by China Scientist

Assoc. Prof. Dr. Zongjunlin Liu | Tumor | Best Researcher Award 

Liu Zongjunlin is an associate professor of dermatology and venereology at the Affiliated Hospital of Southwest Medical University. He holds a doctorate in physiology from Xiamen University and has a strong background in clinical practice, teaching, and research. His work focuses on skin tumors, cosmetic dermatology, and innovative medical technologies. He has published influential papers in high-impact journals, secured research projects and patents, and actively mentors undergraduate and graduate students. Recognized with multiple academic awards and patient honors, he combines medical expertise, innovation, and leadership to advance both patient care and medical education.

Assoc. Prof. Dr. Zongjunlin Liu | Southwest Medical University | China

Profile

SCOPUS

Education

  • Liu Zongjunlin pursued his medical studies with determination and steady progress through different stages of higher education. He began his academic journey at North Sichuan Medical College, where he completed his bachelor’s degree in medicine. He continued to deepen his expertise at Southwest Medical University, earning a master’s degree with a focus on medical sciences. His academic path culminated at Xiamen University, where he was awarded a doctorate in physiology, strengthening his foundation in medical research and advanced clinical knowledge.

Experience

  • After completing his doctorate, Liu Zongjunlin joined the Affiliated Hospital of Southwest Medical University. He has been appointed internally as an associate professor in the Department of Dermatology and Venereology. In his clinical practice, he has played a key role in patient care, contributing to the admission and treatment of a large number of inpatients and outpatients. He also assisted his department in the development of new medical technologies and participated in the improvement of specialist ward and clinic management. His involvement in both teaching and management has further enhanced his contribution to medical education and hospital development.

Awards and Recognition

  • Liu Zongjunlin’s dedication to medicine and education has been widely recognized. He has received multiple honorary banners from patients and peers as a token of appreciation for his medical service. His teaching efforts have been acknowledged through successful guidance of students in provincial-level innovation projects. In academic circles, he has won several awards for his participation in national and provincial speech competitions and poster presentations, achieving high ranks that reflect his strong communication skills and professional expertise.

Skills and Expertise

  • Liu Zongjunlin demonstrates well-rounded skills that encompass medical treatment, teaching, scientific research, and departmental management. Clinically, he has shown innovation by assisting in the development of new dermatological technologies. In teaching, he has guided undergraduate and graduate students, helping them succeed in both classroom learning and research projects. In research, he has published high-quality scientific papers in internationally recognized journals, secured multiple funded projects, and obtained national patents. His organizational abilities are evident in his assistance with departmental management, construction of clinical services, and participation in leadership training.

Research Focus 

  • Liu Zongjunlin’s research interests lie in the field of dermatology and venereology, with a particular emphasis on skin tumors, cosmetic dermatology, and clinical applications of innovative technologies. His studies have been published in top-tier scientific journals with high impact, underscoring the relevance and influence of his work. By bridging clinical practice and research, his contributions not only advance medical knowledge but also bring direct benefits to patient care. His patents further highlight his drive for innovation and his vision to integrate research into practical solutions for medical challenges.

Publication

Differential plasma proteome analysis reveals key proteins associated with insulin resistance in acne vulgaris patients
Authors: Yu Rao, Zheng Lei, Siyu Chen, Xiaoping Zhu, Zongzhe Jiang, Yang Xu, Xia Xiong, Yongmei Liao, Xiqian Chen, Qian Tang, Zongjunlin Liu, Changqiang Li
Journal: Scientific Reports

Conclusion

  • Liu Zongjunlin has established himself as a promising physician, educator, and researcher in dermatology and venereology. His academic achievements, clinical expertise, teaching dedication, and innovative research collectively reflect a professional of exceptional caliber. Through his strong commitment to patient care, his mentorship of young medical students, and his pioneering research, he has made meaningful contributions to both medicine and medical education. His trajectory shows clear potential for continued growth as a leader in his field.