Yinfeng Yang | Artificial Intelligence |Young Scientist Award

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Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence | Young Scientist Award

Anhui University of Chinese Medicine | China

Assoc. Prof. Dr. Yinfeng Yang is an Associate Professor and emerging research leader at the intersection of artificial intelligence and traditional Chinese medicine, with a strong focus on biomedical big data analytics and AI-driven drug discovery. With a publication record of 45 documents and a citation impact exceeding 5,738 citations from 5,599 citing documents, alongside an h-index of 18, her research demonstrates significant international influence. Her work integrates bioinformatics, machine learning, molecular simulation, and systems biology to uncover key biomarkers, elucidate disease mechanisms, and accelerate the development of innovative therapeutic strategies. She has made notable contributions to multi-omics data mining, virtual screening, quantitative structure–activity relationship modeling, and mechanistic analysis of natural products and traditional prescriptions, particularly in oncology, immunology, cardiovascular disorders, and neurological diseases. Her research advances include AI-powered ADMET prediction, graph neural network–based drug-target discovery, and multiscale modeling of herbal medicine mechanisms. She has authored more than sixty publications, including first- and corresponding-author papers in high-impact journals such as Journal of Advanced Research, Phytomedicine, Drug Discovery Today, International Journal of Surgery, and ACS Omega, contributing influential and highly cited work. In addition to her scientific output, she has edited scholarly works, holds an authorized patent, and has received provincial recognition for scientific achievements. She also serves on editorial boards and contributes extensively as a reviewer for numerous international journals across pharmacology, bioinformatics, natural product research, and integrative medicine. Her expertise spans molecular dynamics, docking, high-throughput virtual screening, AI algorithms, multi-omics integration, and experimental pharmacology, positioning her at the forefront of intelligent medicine and translational research in traditional Chinese medicine.

Featured Publications

  • Fan, N. N., Chen, J., Wang, J. H., Chen, Z. S., & Yang, Y. F. (2025). Bridging data and drug development: Machine learning approaches for next-generation ADMET prediction. Drug Discovery Today, Article 104487.

  • Han, Z. J., Liu, Q. W., Yang, J. H., Wang, X. Y., Song, W. C., Wang, J. H., & Yang, Y. F. (2025). Exploration of the mechanism of Ginkgo biloba leaves targeted angiogenesis against gastric cancer. ACS Omega, 10, 40460–40476.

  • Yang, P. Z., Wang, X. Y., Yang, J. H., Yan, B. B., Sheng, H. Y., Li, Y., Yang, Y. F., & Wang, J. H. (2025). AI-driven multiscale study on the mechanism of Polygonati Rhizoma in regulating immune function in STAD. ACS Omega, 10(19), 19770–19796.

  • Li, H., Fu, S. F., Shen, P., Zhang, X., Yang, Y. F., & Guo, J. C. (2025). Mitochondrial pathways in rheumatoid arthritis: Therapeutic roles of traditional Chinese medicine and natural products. Phytomedicine, Article 157106.

  • Zhang, H. R., Xu, Q., Kan, H. X., Yang, Y. F., & Cai, Y. Q. (2025). Exploration of the clinicopathological and prognostic significance of BRCA1 in gastric cancer. Discover Oncology, 16(1), 381.

 

sashi kiran vuppala |Artificial Intelligence | Young Researcher Award

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Mr. sashi kiran vuppala |Artificial Intelligence | Young Researcher Award

Technical Architect, Tata Consultancy Services United States

Sashi Kiran Vuppala is a highly skilled Technical Architect and Senior Java Developer with over 10 years of experience in Java, microservices, BPM automation, cloud-native applications, and AI. Specializing in industries like banking, insurance, telecommunications, manufacturing, and aerospace, he is an accomplished leader in driving digital transformations, publishing research papers, and mentoring teams.

Publication Profile

Scholar

🎓 Education

Sashi completed his Bachelor of Engineering from Sathyabama University, India (2010-2014). He holds certifications such as Oracle Java SE 8 & 17 Developer and is a Certified Peer Reviewer with Elsevier Researcher Academy, showcasing his technical expertise in software development and academic contributions.

💼 Experience

With expertise in Spring Boot, Kafka, Camunda BPM, and cloud platforms like AWS and Azure, Sashi has led cloud migrations, enterprise-level transformations, and microservices architecture. He has been part of projects for Boeing, Citibank, and Bank of America and has received accolades like the TCS Applause Award for excellence.

🏆 Awards & Honors

Sashi has received several accolades, including the Applause Award at TCS (2025), Continuous Feedback Star Certificate (TCS 2022), and Spot Awards at DXC Technology. His achievements reflect his leadership in software engineering, cloud innovations, and BPM automation.

🔬 Research Focus

Sashi’s research revolves around BPM workflow automation, AI-driven fraud detection, cloud-native transformations, and microservices scalability. His work includes publications on AI in reinsurance, predictive fraud detection, and real-time XML data handling in aerospace operations.

📝 Conclusion

Sashi Kiran Vuppala is an accomplished technical architect and researcher with a robust background in AI-driven solutions, microservices, and cloud-native applications. His experience across multiple industries, combined with his technical expertise and leadership roles, makes him a highly suitable candidate for the Young Researcher Award. His contributions to cloud computing and AI, along with his ongoing mentorship and recognition through awards, underscore his potential to drive meaningful change in the tech industry. By expanding his focus to include patents, academic collaborations, and interdisciplinary research, Sashi can further solidify his position as a leading researcher in his field.

Publication Top Notes

Title: Preventing False Reinsurance Claims: Leveraging AI for Real-Time Anomaly Detection
Author: SK Vuppala

Title: Impact of Global Economic Shocks on Credit Risk Assessment Models in the Banking Industry
Author: SK Vuppala

Title: Trustless Reinsurance: How Distributed Ledger Technology Can Improve Transparency in Retrocession
Author: SK Vuppala