
معرفی
Marta Gonzalez is an Associate Professor at the University of California, Berkeley, with joint appointments in the Civil and Environmental Engineering and City and Regional Planning departments. She holds a Physics Research faculty position at the Lawrence Berkeley National Laboratory's Energy Technology Area and directs the HuMNet Lab, focusing on urban sciences and statistical physics of complex systems.
- Ph.D., Physics, Stuttgart University, Germany (2006)
- M.Sc., Physics, Central University of Venezuela (2001)
- B.Sc., Physics, Simon Bolivar University, Venezuela (1999)
Her research integrates digital traces, environmental data, and network science to address urban challenges. Key areas include:
- Human mobility modeling using mobile phone records
- Electric vehicle-grid integration
- Wildfire risk mitigation through urban edge analysis
- Congestion propagation in transportation networks
- Compound extreme event resilience in infrastructure
- Consumer behavior in developing economies
The 15 most recent publications reveal trends in urban mobility, energy technology adoption, and resilience against climate extremes. Methodologies span percolation theory, spatiotemporal frameworks, and AI-driven analysis of digital traces.
- 2024 Lagrange-CRT Foundation Prize
- 2023 Network Science Society Fellow
- 2021 Joseph M Sussman Prize
- 2016 UN & Gates Foundation awards
- MIT Big Data Transportation Challenges (2013)
While no formal advising records appear in this dataset, her research has secured grants from:
- Lawrence Berkeley National Laboratory
- MIT-Philips Lighting Grand Challenge (2016)
- Bill & Melinda Gates Foundation
- UN Foundation
- Scientific societies and government agencies
The HuMNet Lab she directs develops computational tools for:
- Mapping urban traffic congestion dynamics
- Modeling electric vehicle adoption
- Assessing wildfire risks at urban interfaces
- Enhancing resilience against compound extremes
- Analyzing socioeconomic mobility patterns
- Extrapolating urban planning principles





