Daniel G. Aliaga
Dr. Daniel Aliaga is a Professor of Computer Science at Purdue University. His research lies at the intersection of urban computing, computer vision, graphics, machine learning, and AI, developing methods for city-scale modeling, 3D reconstruction, geospatial analysis, and urban simulation. Dr. Aliaga's first computer graphics publication was in 1991 and he now has over 170 refereed publications covering multiple disciplines, holds membership in 90+ progra… ↓More
Joined department: Fall 2003
Research Areas
- Graphics, Visualization, and Geometric Modeling
- Robotics and Computer Vision
- Artificial Intelligence, Machine Learning, and Natural Language Processing
Education
BS, Honors, Magna Cum Laude,, Brown University, Computer Science (1991)
MS, University of North Carolina at Chapel Hill, Computer Science (1993)
PhD, University of North Carolina at Chapel Hill, Computer Science (1999)
Awards
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Undergraduate Advising Award [2009]
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Engagement Award [2008]
Dr. Daniel Aliaga is a Professor of Computer Science at Purdue University. His research lies at the intersection of urban computing, computer vision, graphics, machine learning, and AI, developing methods for city-scale modeling, 3D reconstruction, geospatial analysis, and urban simulation. Dr. Aliaga's first computer graphics publication was in 1991 and he now has over 170 refereed publications covering multiple disciplines, holds membership in 90+ program committees, has on-going international multi-disciplinary collaborations (i.e., with computer science, urban planning, architecture, meteorology, atmospheric/earth sciences, engineering, archaeology, forestry, and more), and has given over 50 invited talks (in the US, Brasil, Colombia, Ecuador, France, Japan, Korea, Peru, Qatar, Sweden, and Switzerland; TEDx). Further, Dr. Aliaga has been technical advisor on multiple startups (Synthicity, UrbanSim, Authentise).
Prof. Aliaga has obtained 30 external peer-reviewed grants totaling $45M (and is PI on 22 of them). Funding sources include NSF, IARPA, USDA, Internet2, MTC, Google, Microsoft, and Adobe. Further, Dr. Aliaga is Associate Editor for IEEE TVCG and for Visual Computing Journal (previously for Computer Graphics Forum and Graphical Models) and PC member for SIGGRAPH, CVPR, ICCV, Eurographics, AAAI, I3D, IEEE Vis. He has received a Fulbright Scholar Award, a Discovery Park Faculty Research Fellowship, and his PhD advisees have received a total of 11 Purdue fellowships/grants. He is a member of ACM SIGGRAPH and ACM SIGGRAPH Pioneers, and has multiple times been Chair of Faculty Diversity for College of Science at Purdue.
Selected Publications
P. Patel, R. Kalyanam, L. He, D. Aliaga, D. Niyogi. Deep Learning based Urban Morphology for City-scale Environmental Modeling, Proceedings of the National Academy of Sciences (PNAS) Nexus, 2023.
L. He, D. Aliaga. GlobalMapper: Arbitrary-Shaped Urban Layout Generation, In Proceedings of IEEE International Conference on Computer Vision (ICCV), 9 pages, 2023.
A. Firoze, C. Wingren, R. Yeh, B. Benes, D. Aliaga, Tree Instance Segmentation with Temporal Contour Graph, In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), 9 pages, 2023.
Y. Song, Z. Zhang, Z. Lin, S. Cohen, B. Price, J. Zhang, S. Kim, H. Zhang, D. Aliaga. IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), 9 pages, 2024.
A. Li, J. Zimmer-Dauphinee, R. Kalyanam, I. Lindsay, P VanValkenburgh, S. Wernker, D. Aliaga, Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration, IEEE Computer Vision and Pattern Recognition (CVPR), 2025.