Arghavan Louhghalam, PhD

Associate Professor

Civil & Environmental Engineering

IRDS Analytics Lab



Textiles 210


2010Johns Hopkins University, Baltimore, MDPhD in Civil Engineering
2007Johns Hopkins University, Baltimore, MDMS in Civil Engineering
2002Tehran University, Tehran, IranMS in Earthquake Engineering
2000Iran University of Science and Technology, Tehran, IranBS in Civil Engineering




Research awards

  • $ 79,964 awarded by Michelin North America, Inc | Massachusetts Institute of Technology for Near-Miss Traffic Vehicle Statistics from Crowdsourced Data Analytics: Phase I. Graph Representation of Telematics Data and Modeling
  • $ 18,848 awarded by Dauphin Island Sea Lab for Mechanisms of Bioturbation and Ecosystem Engineering by Benthic Infauna
  • $ 370,177 awarded by Office of Naval Research for UMassD MUST II: Enhanced Source Localization Using Optimally Designed Metamaterials and Advanced Machine Learning for Underwater Applications


Research interests

  • Quantitative Engineering Sustainability, Design, Development and Maintenance of Sustainable Civil Infrastructures
  • Fracture Mechanics and Material Durability
  • Risk and Reliability Assessment of High-Performance Structural Systems
  • Dynamics and Random Vibrations
  • Application of Data Mining and Machine Learning Techniques to Civil Engineering Pro

Dr. Arghavan Louhghalam joined the Department of Civil and Environmental Engineering as an assistant professor. Prior to joining the University of Massachusetts Dartmouth, she was a postdoctoral research associate at Massachusetts Institute of Technology’s Concrete Sustainability Hub (CSHub@MIT). She holds a Ph.D. and a M.S. in Engineering Mechanics from the Johns Hopkins University, a M.S. in Earthquake Engineering from University of Tehran, and a B.S. in Civil and Environmental Engineering from Iran University of Science and Technology, Iran. 

Dr. Louhghalam’s research interests are mainly focused on interconnected areas of solid mechanics, material modeling and applied statistics with applications to the development of sustainable and resilient civil infrastructure. Her research on quantitative engineering sustainability aims at development of mechanics-based predictive tools to quantify the environmental impact of civil infrastructures and identify the key contributing factors to this footprint.

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