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MIchael W. BerryProfessor Berry is the co-author and editor of fifteen books covering topics in scientific computing, information retrieval, text/data mining, and data science. His most recent book entitled “Supervised and Unsupervised Learning for Data Science” was published in 2019 by Springer International Publishing.  He is co-editor of the Soft Computing in Data Science volumes from 2015-2019 published by Springer and is the co-author of popular  books published by SIAM (Society for Industrial and Applied Mathematics): Understanding Search Engines: Mathematical Modeling and Text Retrieval, Second Edition and Computational Information Retrieval.  He has published over 115 refereed journal and conference publications.

He has organized numerous workshops on Text Mining and was Conference Co-Chair of the 2003 SIAM Third International Conference on Data Mining in San Francisco, CA. He was also Program Co-Chair of the 2004 SIAM Fourth International Conference on Data Mining in Orlando, FL and is currently an honorary Co-Chair of the International Conference on Soft Computing in Data Science (SCDS) series (2015-present).  He is a member of SIAM, ACM, MAA, ASEE, and the IEEE Computer Society and is on the editorial board of Foundations of Data Science (AIMS) and the SIAM Journal on Matrix Analysis and Applications  (SIAM).  Professor Berry is also a certified Program Evaluator for the Computing Accreditation Commission (CAC) of the Accreditation Board for Engineering and Technology, Inc (ABET).

Areas of Interest

  • Scientific computing
  • Information retrieval
  • Data Science/Analytics
  • Augmented Intelligence


  • Ph.D. in Computer Science, University of Illinois at Urbana-Champaign
  • M.S. in Applied Mathematics, North Carolina State University
  • B.S. in Mathematics, University of Georgia