Zheng Song

With a focus on groundbreaking research, Zheng Song explores the dynamic intersections of artificial intelligence, data integration, databases, and data management. As an Assistant Professor of Computer and Information Science at the University of Michigan-Dearborn, he brings a wealth of knowledge and expertise to his academic endeavors. Zheng Song's academic journey is distinguished by his dual PhDs: one in distributed systems and software engineering from Virginia Tech, USA, and another in wireless networking and mobile computing from Beijing University of Posts and Telecommunications, China. Professor Song's research is driven by a passion for advancing the capabilities of data systems and artificial intelligence. His current projects are at the forefront of technological innovation, including efforts to measure the data quality of web services and the application of federated learning to enhance indoor localization accuracy. These initiatives not only contribute to the academic community but also have practical implications for improving the efficiency and reliability of data-driven systems. In addition to his research, Zheng Song is dedicated to mentoring the next generation of computer scientists. He actively engages with students, encouraging them to explore the vast possibilities within the fields of AI and data management. His commitment to education and research excellence is reflected in his numerous publications and contributions to international conferences. Zheng Song's work continues to push the boundaries of what is possible in the realm of computer and information science, making significant strides in the integration and management of complex data systems. His innovative approach and dedication to his field make him a valuable asset to the academic community and a leader in his areas of expertise.