Carnegie Mellon University

Mario Berges

Mario Berges

Professor, Civil and Environmental Engineering

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Civil & Environmental Engineering
Carnegie Mellon University
Pittsburgh, PA 15213-3890


Mario Bergés is a professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University (CMU). He is interested in making our built environment more operationally efficient and robust through the use of information and communication technologies, so that it can better deal with future resource constraints and a changing environment. Currently his work largely focuses on developing approximate inference techniques to extract useful information from sensor data coming from civil infrastructure systems, with a particular focus on buildings and energy efficiency.

Bergés is the faculty co-director of the Smart Infrastructure Institute at CMU, as well as the director of the Intelligent Infrastructure Research Lab (INFERLab). Among recent awards, he received the Professor of the Year Award by the ASCE Pittsburgh Chapter in 2018, Outstanding Early Career Researcher award from FIATECH in 2010, and the Dean's Early Career Fellowship from CMU in 2015.

Bergés received his B.Sc. in 2004 from the Instituto Tecnológico de Santo Domingo, in the Dominican Republic; and his M.Sc. and Ph.D. in Civil and Environmental Engineering in 2007 and 2010, respectively, both from Carnegie Mellon University.


PhD 2010 - Carnegie Mellon University
MS 2007 - Carnegie Mellon University
Certificate 2005 - Instituto Tecnológico de Santo Domingo (Dominican Republic)
BS 2004 - Instituto Tecnológico de Santo Domingo (Dominican Republic)


Research Group: AIS 
Research Centers: Sii

Areas of Interest

  • Infrastructure monitoring
  • Building energy management
  • Smart grid
  • Machine learning for signal processing
  • Sensor networks


Eybpoosh, Matineh, Mario Berges, and Hae Young Noh. (2016). "An energy-based sparse representation of ultrasonic guided-waves for online damage detection of pipelines under varying environmental and operational conditions.Mechanical Systems and Signal Processing.

Kara, E. C., Macdonald, J. S.,  Black, B., Berges, M., Hug, G., Kiliccote, S. (2015), "Estimating the benefits of electric vehicle smart charging at non-residential locations: A data-driven approach." Applied Energy, 155(0):515 – 525.

Liu, C., Harley, J. B.,  Berges, M.,  Greve, D. W., Oppenheim, I. J. (2015), "Robust ultrasonic damage detection under complex environmental conditions using singular value decomposition."Ultrasonics.

Giri, S., Berges, M. (2015) "An energy estimation framework for event-based methods in non-intrusive load monitoring."Energy Conversion and Management, 90:488–498.

Rowe, Anthony, Mario E. Berges, Gaurav Bhatia, Ethan Goldman, Ragunathan Rajkumar, James H. Garrett, José MF Moura, and Lucio Soibelman. (2011). "Sensor Andrew: Large-scale campus-wide sensing and actuation.IBM Journal of Research and Development 55, no. 1.2: 6-1.

Recent Honors & Awards

  • 2015: Dean's Early Career Fellowship Award, CMU College of Engineering
  • 2018: ASCE Pittsburgh Section 2017 Professor of the Year Award


  • 12-740 Data Acquisition
  • 12-741 Data Management
  • 12-752 Data-Driven Building Energy Management
  • 12-770 Autonomous Sustainable Buildings: From Theory to Practice

Mario Bergés: Using Analytics to Understand Energy Consumption in Buildings

Energy bills show usage as a total number, leaving consumers, building managers and others to wonder which activities or appliances are using the most electricity. Civil and Environmental Engineering Professor Mario Bergés is using sensing and analytics to understand energy consumption in buildings and disaggregate the total usage into its parts.