Daniel G. Aliaga
Scholar

Daniel G. Aliaga

Google Scholar ID: Bj5YOnYAAAAJ
Associate Professor of Computer Science, Purdue University
Computer GraphicsComputer VisionVisualizationProcedural ModelingUrban Modeling
Citations & Impact
All-time
Citations
2,906
 
H-index
28
 
i10-index
66
 
Publications
20
 
Co-authors
75
list available
Resume (English only)
Academic Achievements
  • Over 160 refereed publications since first computer graphics paper in 1991.
  • Served on 90+ program committees including SIGGRAPH, CVPR, ICCV, Eurographics, AAAI, I3D, IEEE Vis.
  • Associate Editor for IEEE TVCG and Visual Computing Journal (previously for Computer Graphics Forum and Graphical Models).
  • Secured 29 external peer-reviewed grants totaling over $42M (PI on 22), from NSF, IARPA, USDA, Internet2, MTC, Google, Microsoft, Adobe.
  • Recipient of Fulbright Scholar Award and Discovery Park Faculty Research Fellowship.
  • PhD advisees have received 11 Purdue fellowships/grants.
  • Multiple-time Chair of Faculty Diversity for College of Science at Purdue.
  • Member of ACM SIGGRAPH and ACM SIGGRAPH Pioneers.
  • Given 50+ invited talks globally (US, Brazil, Colombia, Ecuador, France, Japan, Korea, Peru, Qatar, Sweden, Switzerland), including TEDx.
  • Technical advisor for startups Synthicity, UrbanSim, and Authentise.
Background
  • Pursues visual computing for modeling and improving the complex urban ecosystem.
  • Develops semi-automatic and automatic algorithms for controllable content creation and editing of large and complex geometric models for use in urban digital twins, simulation, visualization, entertainment, education, and cultural heritage.
  • His methodologies generally convert incomplete and unstructured data into organized and easily editable procedural representations.
  • His research group has innovated in generative modeling, urban AI, and optimization to infer procedural rules, parameters, graphs, layouts, 3D models, images, sketches, point clouds, roads, facades, buildings, cities, and vegetation.
  • Has developed novel image processing, 3D reconstruction methods, 3D spatial augmented reality, camera calibration, and computational display solutions.
  • Leads and participates in numerous computational urban projects in city gray and green planning, atmospheric/geological sciences, civil engineering, and architecture.
  • Graduated from Colegio Santa Maria in Lima, Peru; first in his family to earn a PhD.