Rate My Professor Michael Berry

In his extensive publication record, Berry has co-authored and edited eighteen books, including Understanding Search Engines: Mathematical Modeling and Text Retrieval, Second Edition (SIAM, 2005), Computational Information Retrieval (SIAM, 2001), Survey of Text Mining: Clustering, Classification, and Retrieval (2003), Text Mining: Applications and Theory (2010), High-Performance Scientific Computing (2012), Supervised and Unsupervised Learning for Data Science (2020), and the series Soft Computing in Data Science from the international conferences (Springer, 2015-2021). He has also produced over 115 refereed journal and conference publications covering topics such as latent semantic indexing, nonnegative matrix factorization, parallel computation, bioinformatics, and computational ecology. Notable papers include Using Linear Algebra for Intelligent Information Retrieval (SIAM Review, 1995), Matrices, Vector Spaces, and Information Retrieval (SIAM Review, 1999), and Document Clustering Using Nonnegative Matrix Factorization (Information Processing & Management, 2006). Berry's leadership extends to serving as Conference Co-Chair of the 2003 SIAM International Conference on Data Mining, Program Co-Chair of the 2004 SIAM conference, and Honorary Co-Chair of the International Conference on Soft Computing in Data Science series since 2015. He contributed to editorial boards, including ten years (2015-2024) on the SIAM Journal on Matrix Analysis and Applications and currently on Foundations of Data Science. As a Commissioner and Program Evaluator for the Computing Accreditation Commission of ABET, he influences computing education standards. Berry is a member of SIAM, ACM, MAA, ASEE, and the IEEE Computer Society, underscoring his impact in the field of Computer Science at the University of Tennessee - Knoxville.