Michael McGuire

Education

Ph. D., Information Systems, University of Maryland, Baltimore County, 2010

M.S., Information Systems, University of Maryland, Baltimore County, 2005

B.S., Geography and Environmental Planning, Towson State University, 1996

Areas of Expertise

Spatio-Temporal Data Mining, Data Warehousing, Sensor Database Systems, Distributed Databases, Environmental Informatics, Information Visualization

Selected Publications:

Michael P. McGuire, M. Roberge, and J. Lian. (2015) “Channeling the Water Data Deluge: A System for Flexible Integration and Analysis of Hydrologic Data.” International Journal of Digital Earth. (in press).

Michael P. McGuire, V. Janeja, and A. Gangopadhyay. (2014) “Mining Trajectories of Moving Dynamic Spatio-Temporal Regions in Sensor Datasets.” Data Mining and Knowledge Discovery. 28:4, 961-1003.

Michael P. McGuire, V. Janeja, and A. Gangopadhyay, (2013) “Mining Sensor Datasets with Spatiotemporal Neighborhoods.” Journal of Spatial Information Sciences No. 6, 1-42.

Bernadette Hanlon, M. Howland and M. McGuire (2012). “Hotspots for Growth.” Journal of the American Planning Association, 78:3, 256-268.

Michael P. McGuire and N. P. Nguyen. (2014) “Community Structure Analysis in Big Climate Data.” 2nd International Workshop on Scalable Cloud Data Management (SCDM 2014). October 2014, Washington, D.C., USA.

Michael P. McGuire and M. Roberge. (2014) “HydroCloud: A Cloud-Based System for Hydrologic Data Integration and Analysis.” International Conference on Computing for Geospatial Research (COM.Geo 2014). August 2014, Washington, D.C., USA.

Michael P. McGuire and M. Roberge (2014) “The Design of a Collaborative Social Network for Watershed Science.” 2nd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystems (GRMSE 2014). October 2014, Yipsilanti, Michigan, USA.

Michael P. McGuire and Z. Tang. (2013) “Mining Semantic Time Period Similarity in Spatio-Temporal Climate Data” IEEE International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-13). 7 December 2013, Dallas Texas, USA, 2013.

Leela Sedaghat, J. Hersey, and M. McGuire (2013) “Detecting Spatio-Temporal Outliers in Crowdsourced Bathymetry Data.” 2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information (GEOCROWD). 5 November 2013, Orlando, Florida, USA, 2013.

Michael P. McGuire, V. Janeja, and A. Gangopadhyay. (2012) “Exploring Multivariate Spatio-Temporal Change in Climate Data Using Image Analysis Techniques.” COM.GEO 2012 International Conference on Computing for Geospatial Research, July 1 – 3, Washington DC, USA, 2012.

Yanan Sun, V. Janeja, M. McGuire, and A. Gangopadhyay. (2012) “Tnet: Tensor-based neighborhood discovery in traffic networks.” International Workshop on Spatio-Temporal data Integration and Retrieval (STIR2012), April 1, 2012, Washington DC, USA, 2012.

Michael P. McGuire, V. Janeja, and A. Gangopadhyay. (2011) “Characterizing Large Sensor Datasets with Multi-Granular Spatio-Temporal Intervals”  ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, November 1 – 4, 2011, Chicago, Illinois. (Received award for best fast forward presentation).

Michael P. McGuire, V. Janeja, and A. Gangopadhyay. (2010) “Spatiotemporal Neighborhood Discovery for Sensor Data.” In Knowledge Discovery from Sensor Data: Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers, Lecture Notes in Computer Science (Vol. 5840, p. 203). Springer.