معرفی
David Fouhey is an Assistant Professor at New York University, jointly appointed between the Courant Institute of Mathematical Sciences (Computer Science) and the Tandon School of Engineering (Electrical and Computer Engineering). He previously held positions at the University of Michigan and was a postdoctoral researcher at UC Berkeley. His research focuses on learning-based computer vision, particularly in 3D reconstruction, AI for science, and human-object interaction.
Education:
- PhD in Robotics from Carnegie Mellon University (2013-2018)
- Bachelor of Arts in Computer Science from Middlebury College (2007-2011)
Research Interests: His work spans 3D reconstruction from images, AI-driven scientific measurement (e.g., solar physics, evolutionary ecology), and human interaction modeling. Notable projects include Stereo4D for 3D motion analysis and SyntheticIA for solar magnetogram fusion.
Recent Articles: Recent work emphasizes interdisciplinary applications of vision (e.g., bird morphology analysis) and robust 3D techniques like Perspective Fields for camera calibration. His 2025 Nature Scientific Data paper on bird skeletal traits highlights his AI-for-science focus.
Grants & Collaborations: Secured a NASA grant for heliophysics tools and collaborates with institutions like NASA’s SDO mission and the Astrophysical Journal.
Labs & Teams: Leads a NYU research group focused on vision and robotics, with active collaborations in astrophysics and ecology.
