Civil and Environmental Engineering
Mohamad Hallal is an Assistant Teaching Professor of Civil and Environmental Engineering at UC Berkeley specializing in data science and computation in the context of civil and environmental engineering. As the civil and environmental engineering field undergoes a revolution fueled by the proliferation of data, Hallal aims to equip rising civil and environmental engineers with state-of-the-art data science and computation skills to address the most significant societal-scale challenges.
As a geotechnical engineering researcher and geostatistics enthusiast, Hallal's research focuses on integrating multidisciplinary tools to develop holistic methods spanning subsurface imaging and applications in natural hazards engineering with high societal impact.
- Ph.D., Civil Engineering, University of Texas at Austin, 2022
- M.S., Statistics, University of Texas at Austin, 2021
- M.S., Civil Engineering, University of Texas at Austin, 2019
- B.E., Civil and Environmental Engineering, American University of Beirut, 2017
Research Interests:
- Data-driven applications in civil and environmental engineering
- Geotechnical earthquake engineering
- Noninvasive subsurface imaging
- Natural hazards engineering
Along with Hallal's interest in data science education, he is passionate about natural hazards engineering and geostatistics research. His research lies at the intersection of geotechnical earthquake engineering, noninvasive subsurface imaging, and geostatistical modeling.
Through the lens of theoretical fundamentals, field and laboratory testing, and computational modeling, Hallal aims to bridge engineering with statistics to embrace uncertainty and develop holistic methods for designing resilient infrastructure in the face of natural hazards.
