Michael P. McGarry is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso. He received his B.S. in Computer Engineering from the Polytechnic Institute of NYU in 1997. He received his M.S. and Ph.D. in Electrical Engineering from Arizona State University in 2004 and 2007, respectively. His published works have received over 2000 citations according to Google Scholar (h-Index is 16, Erdos number is 2). One of his articles, was the recipient of the 2009 IEEE Communications Society Best Tutorial Paper award. He is the director of UTEP's Communication Networks Laboratory (NetLab).

• IEEE Communications Society Best Tutorial Paper Award - IEEE (01/01/2009-12/31/2009)

• Ph D in Electrical Engineering, Arizona State University (2007)
• MS in Electrical Engineering, Arizona State University (2004)
• BS in Computer Engineering, Polytechnic University (1997)

• Reveal Online Learning Clickstream Data to Provide Actionable Intelligence IEEE/ASEE Frontiers in Education Conference (2023), Patrick Seeling, Michael P. McGarry, Matthew Johnson.
• Transmission Line Outage Detection with Limited Information Using Machine Learning North American Power Symposium (NAPS) (2023), Daniel Flores, Yuanrui Sang, Michael P. McGarry.
• Determining Most Likely Links (MLL) for Network Fault Localization IEEE Open Journal of the Communications Society 4 (2023), Michael P. McGarry, Christopher A. Mendoza.
• The Network Link Outlier Factor (NLOF) for Fault Localization IEEE Open Journal of the Communications Society (2020), Christopher A. Mendoza, Michael P. McGarry.
• Evaluating Features for Network Application Classification SPIE Defense and Commercial Sensing Conference (DCS ’20) (2020), Carlos alcantara, Venkat Dasari, Cody Bumgardner, Michael P. McGarry.
• The Network Link Outlier Factor (NLOF) SPIE Defense and Commercial Sensing Conference (DCS ’20) (2020), Christopher A. Mendoza, Venkat Dasari, Michael P. McGarry.
• Detecting Network Soft-failures with the Network Link Outlier Factor (NLOF) IEEE Big Data Workshop (2019), Christopher A. Mendoza, Venkat Dasari, Michael P. McGarry.
• Auto-Generating Training Data for Network Application Classification SPIE Defense and Commercial Sensing Conference (DCS ’19) (2019), Carlos Alcantara, Venkat Dasari, Christopher A. Mendoza, Michael P. McGarry.
• Using SFP Data to Detect Contaminated Fiber Connectors IEEE Latincom (2018), Christopher Mendoza, Venkat Dasari, Michael P. McGarry.
• OpenTap: software-defined data acquisition SPIE Defense and Commercial Sensing (in press), Christian Macias, Venkat Dasari, Michael P. McGarry.

No info available.

• Travel: NSF Student Travel Grant for 2023 IFIP Networking Conference (IFIP NETWORKING)
• Network Measurement and Analytics for FABRIC
• IRNC: AMI: Collaborative Research: Software-Defined and Privacy-Preserving Network Measurement Instrument and Services for Understanding Data-Driven Science Discovery