Laura E. Brown

Laura E. Brown


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  • Associate Professor, Computer Science
  • PhD, Biomedical Informatics, Vanderbilt University
  • MS, Biomedical Informatics, Vanderbilt University
  • MSE, Electrical Engineering and Computer Science, University of Michigan
  • BS, Engineering, Swarthmore College

Area of Expertise

  • Artificial Intelligence and Machine Learning
  • Data Mining and Data Science
  • Applications of AI and ML to Energy (microgrids, power systems), Health, and other domains

Recent Publications

  • A. Kantamneni, L.E. Brown, G. Parker, W.W. Weaver, "Survey of multi-agent systems for microgrid control", Engineering Applications of Artificial Intelligence, vol 45, pp 192-203, 2015
  • I.P. Brown, G. Sizov, L.E. Brown, "Impact of Rotor Design on Interior Permanent Magnet Machines with Concentrated and Distributed Windings for Signal Injection Based Sensorless Control and Power Conversion", IEEE Transaction of Industrial Applications, 2015 Read More
  • W. Kuang, L. E. Brown, and Z. Wang, "Modeling Cross-Architecture Co-Tenancy Performance Interference", in Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2015.
  • W. Kuang, L.E. Brown, Z. Wang, "Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters" in Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI'15), Doctoral Consortium, Jan. 2015.
  • W. Kuang, L.E. Brown, Z. Wang, "Selective Switching Mechanism in Virtual Machines via Support Vector Machine and Transfer Learning" Machine Learning, July 2014. Read More
  • A complete listing of publications is available on my web-page Read More

Recent Funding

  • Revolution through Evolution: A Controls Approach to Improve How Society Interacts with Electricity ($699K), National Science Foundation - NSF, PI (coPI: Chee-Wooi Ten, Wayne W. Weaver), 2015-2018. Collaboration with University of New Mexico, Texas Tech University, University of Tennessee-Knoxville, and Fraunhofer CSE (~$2.5M)
  • Adaptive Memory Resource Management in a Data Center - A Transfer Learning Approach ($299K), National Science Foundation - NSF, PI (coPI: Zhenlin Wang, Steven Carr), 2014-2017. Collaboration with Western Michigan University ($399K)
  • Distributed Agent-Based Management of Agile Microgrids (~$1M), US Department of Defense - Army Research Laboratory, co-PI (PI: Gordon Parker, co-PI: Wayne Weaver, Steven Goldsmith), 2013-2017