Rate My Professor Yan Shi

Dr. Shi's research interests center on data engineering, software verification, smart fault localization, machine learning, data engineering in wireless communications, artificial intelligence applications in software development, data mining in social networks, and crowd-sourcing mechanisms. She has published extensively in reputable journals and conferences, including IEEE Transactions on Mobile Computing, IEEE INFOCOM, Theoretical Computer Science, and IEEE ICDM. Key publications include "On positive influence dominating sets in social networks" (Theoretical Computer Science, 2011), "Using an RBF neural network to locate program bugs" (ISSRE, 2008), "Efficient data retrieval scheduling for multi-channel wireless data broadcast" (INFOCOM, 2012), "Data retrieval scheduling for multi-item requests in multi-channel wireless broadcast environments" (IEEE Transactions on Mobile Computing, 2013), "Senti2pop: sentiment-aware topic popularity prediction on social media" (ICDM, 2019), and "Evaluation and Comparison of Various Indexing Schemes in Single-Channel Broadcast Communication Environment" (Knowledge and Information Systems, 2014). Her research has accumulated over 270 citations. Dr. Shi is a member of ACM, IEEE, and ISCA, serves as program chair for the ISCA International Conference on Software Engineering and Data Engineering (SEDE), sits on the ISCA Board of Directors, and acts as a peer referee for journals and conferences.