Scholar
Markus Schläpfer
Google Scholar ID: S3fRvQMAAAAJ
Columbia University, Civil Engineering and Engineering Mechanics
Citations & Impact
Citations
2,270
H-index
13
i10-index
13
Publications
20
Co-authors
51
list available
Publications
Resume (English only)
Academic Achievements
- Published two new arXiv papers on deep learning for predicting mobility flows within cities: 'UrbanPulse' and 'FloGAN'; published a new work in Sustainable Cities and Society exploring the use of mobile data traffic to reveal the space-use efficiency of cities.
Research Experience
- Participated in a workshop on how complexity science has transformed urban thinking; led the publication of several research papers on urban mobility.
Background
- Focuses on the field of urban systems engineering, particularly using urban analytics, AI, and complexity science to understand and improve the efficiency and resilience of urban infrastructures.
