Scholar
Ruohan Gao
Google Scholar ID: i02oEgMAAAAJ
Assistant Professor of Computer Science, University of Maryland, College Park
Citations & Impact
Citations
2,565
H-index
20
i10-index
29
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Published 'Multisensory Machine Intelligence' in AI Magazine in 2025; published 'Differentiable Room Acoustic Rendering with Multi-View Vision Priors' at International Conference on Computer Vision (ICCV) in 2025, with oral presentation; published 'Towards Perception-Informed Latent HRTF Representations' at IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) in 2025, winning Best Student Paper Award; published 'Hearing Anywhere in Any Environment' at Conference on Computer Vision and Pattern Recognition (CVPR) in 2025; published 'Hearing Anything Anywhere' at Conference on Computer Vision and Pattern Recognition (CVPR) in 2024.
Research Experience
- Currently an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, also affiliated with the University of Maryland Institute for Advanced Computer Studies (UMIACS), Maryland Robotics Center (MRC), and Artificial Intelligence Interdisciplinary Institute at Maryland (AIM). Formerly a PostDoc at Stanford Vision and Learning Lab.
Education
- Received Ph.D. in Computer Science from The University of Texas at Austin, advised by Kristen Grauman; then spent two years as a PostDoc at Stanford Vision and Learning Lab working with Fei-Fei Li, Jiajun Wu, and Silvio Savarese.
Background
- Assistant Professor, Department of Computer Science, University of Maryland, College Park. Leads the UMD Multisensory Machine Intelligence Lab. Research primarily focuses on computer vision and machine learning, with a particular emphasis on multisensory machine intelligence involving sight, sound, and touch.
Miscellany
- Always seeking self-motivated students to join his group.
