Yu Jiang | Medicine | Best Researcher Award

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Mr. Yu Jiang | Medicine | Best Researcher Award

Jiangnan University Medical Center | China

Mr. Jiang Yu is a Professor and Doctoral Supervisor at Jiangnan University Medical Center and serves as Director of the Education Department and Chief Physician at The Second People’s Hospital of Wuxi. A recognized high-level talent in Jiangsu Province, he is a leading expert in general medicine and bone metabolism research. His work focuses on osteoporosis mechanisms, particularly iron overload and glucocorticoid-induced bone loss, using zebrafish models and network pharmacology. As Principal Investigator, he has led numerous funded research projects and produced impactful scientific publications and patents. Dr. Jiang actively contributes to interdisciplinary collaborations in orthopedics and geriatrics while holding key editorial and professional roles. His research innovations have significantly advanced clinical practice, translational medicine, and community health management in osteoporosis care and general practice.

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Featured Publications


Development of an exoskeleton robot for lower extremity tibial plateau fracture rehabilitation

– Journal of Mechanics in Medicine and Biology

Research on wide spectrum full-color night vision elderly facial video heart rate automatic measurement and warning system

– Journal of Mechanics in Medicine and Biology

Hepcidin protects against iron overload-induced inhibition of bone formation in zebrafish


– Fish Physiology and Biochemistry

Yan Guo | Economics | Research Excellence Award

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Mr. Yan Guo | Economics | Research Excellence Award

Qujing Normal University | China

Yan Guo holds a Ph.D. in Management and serves as Department Chair at the School of Management, Qujing Normal University. With extensive executive experience in Fortune 500 companies, Yan Guo specializes in regional development between China and ASEAN, focusing on internationalization strategies in emerging markets. Research interests include innovation and sustainable development, digital transformation, cross-border organizational governance, and ESG practices and evaluation systems. Yan Guo has contributed significantly to advancing knowledge on governance frameworks and sustainability performance in emerging economies, employing advanced quantitative methodologies. Through academic leadership and research excellence, Yan Guo continues to support policy-relevant insights and strategic development initiatives that enhance institutional effectiveness, economic resilience, and sustainable growth across dynamic global markets.

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Featured Publications


Multidimensional Governance and Sustainable Development in E7 Economies: A Quantile-Based Comparative Framework


– Sustainable Development

Da Wan | Nanotechnology | Research Excellence Award

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Prof. Da Wan | Nanotechnology | Research Excellence Award

Wuhan University of Science and Technology | China

Da Wan is an Associate Professor at Wuhan University of Science and Technology, specializing in advanced nanoelectronics and emerging information device technologies. His research focuses on the design, fabrication, and performance optimization of high-performance nanoelectronic devices based on novel two-dimensional semiconductors and metal oxide materials. He has established a strong academic profile through impactful contributions to leading international journals, publishing several high-quality SCI papers as both first and corresponding author. His work appears in prestigious outlets such as IEEE Electron Device Letters, IEEE Transactions on Electron Devices, Applied Physics Letters, Nanoscale, and Journal of Physics D. In addition, he has contributed collaboratively to numerous publications in top-tier journals, including Angewandte Chemie, Advanced Functional Materials, Small, and ACS Applied Materials & Interfaces, reflecting his active engagement in cutting-edge materials and device research.

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Featured Publications


Rational Fabrication of Dual-Channel Layered InGaSnO Thin-Film Transistors Through High-/Low-Power Sputtering Technique

– IEEE Transactions on Electron Devices

MoTe2/MoSe2 vdW Schottky Photodetector for Polarized Photodetection

– Chip

Enhancing the Electrical Performance and Stability of Hf-Doped InZnO Thin Film Transistors Using Dual-Target Co-Sputtering Technique

– Applied Physics Letters

Effects of Different Contents Yttrium Doping on the Electrical Performance and Stability of Bilayer IZO/IYZO Thin-Film Transistors

– Applied Physics Letters

Anjan Kumar reddy Ayyadapu | Computer science | Excellence in Research Award

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Mr. Anjan Kumar Reddy Ayyadapu | Computer science | Excellence in Research Award

Cloudera | United States

Anjan Kumar Reddy Ayyadapu is a seasoned Cloud Solution Architect specializing in big data, artificial intelligence, and cybersecurity. Currently working at Cloudera, Inc., he brings extensive expertise in Hadoop ecosystems, machine learning, and secure cloud infrastructure. His professional journey includes roles at Amazon Web Services, IBM, and Wipro, where he contributed to enterprise-scale solutions and cloud innovation. He holds a Master’s degree in Electrical Engineering and a Bachelor’s degree in Electronics and Communication Engineering. An active researcher, he has published multiple articles and holds a patent focused on AI-driven cloud security. His work emphasizes integrating machine learning with cryptographic techniques to enhance data protection and optimize incident response in modern cloud environments.

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Featured Publications


Fuzzy Logic and Machine Learning Hybrid Model for Influencing Consumer Purchasing Behavior in E-Commerce


– International Conference on Computing Technologies & Data Communication

AVE Trends in Intelligent Computer Letters


– Research Contribution

Scalable Machine Learning Approaches for Real-Time Big Data Processing in IoT Networks


– AVE Trends in Intelligent Computing Systems

A Hybrid Machine Learning Model for Predictive Analytics in Big Data Frameworks


– AVE Trends in Intelligent Computing Systems

Deep Learning Models for Predictive Maintenance in Industrial IoT with Big Data Support


– FMDB Transactions on Sustainable Intelligent Networks