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Daniel G. Aliaga is an Associate Professor in the Department of Computer Science at Purdue University, where he has been since Fall 2003. His research focuses on urban visual computing, integrating the fields of computer graphics, computer vision, and artificial intelligence. A pioneer in inverse procedural modeling of urban spaces, Dr. Aliaga's work facilitates semi-automatic and controllable content creation for complex geometric models, utilizing digital simulation for various applications in visualization, entertainment, education, and cultural heritage. His multidisciplinary projects often involve collaboration with experts from urban planning, atmospheric sciences, civil engineering, architecture, and more. He has developed AI tools aimed at improving complex urban ecosystems and has been a significant contributor to image processing methods and high-accuracy 3D reconstruction techniques. Dr. Aliaga has published over 160 peer-reviewed papers and has contributed to numerous program committees while delivering international talks. He is actively engaged with PhD candidates and undergraduate students in his research endeavors.
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