Dr. Zhengxing Huang is a prominent researcher in the areas of artificial intelligence (AI), machine learning, and healthcare informatics. As a Professor at Zhejiang University, he has built a strong academic reputation for developing intelligent systems that support clinical decision-making, optimize healthcare workflows, and improve patient care outcomes. His research primarily focuses on the design and implementation of data-driven models for healthcare applications, including predictive analytics, electronic health record (EHR) mining, and personalized treatment recommendation systems. Dr. Huang’s work integrates advanced machine learning techniques with domain knowledge from medicine and public health, enabling more accurate diagnosis and treatment planning. A key aspect of Dr. Huang’s contributions lies in his use of interpretable and explainable AI, aiming to bridge the gap between complex algorithms and practical medical applications. His efforts support clinicians in understanding and trusting AI-generated insights, thus enhancing collaboration between humans and machines in high-stakes environments. Beyond healthcare, Dr. Huang also explores the broader implications of AI in areas such as service computing and intelligent business systems. His interdisciplinary approach, spanning computer science, data analytics, and healthcare, reflects a commitment to responsible AI innovation that aligns with real-world needs. Dr. Huang is widely published in top-tier journals and regularly contributes to international conferences. His collaborative work with global researchers continues to shape the future of AI in both academic and applied domains.