Guha Balakrishnan
Assistant Professor, Electrical & Computer Engineering, Rice University
10-20L, BioScience Research
Collaborative (BRC)
guha@rice.edu
Collaborative (BRC)
guha@rice.edu
My group works on three main research themes in computer vision: neural signal representations, trustworthy AI, and scene reconstruction, with applications in medical imaging, environmental science, and beyond.
I completed my PhD at MIT CSAIL advised by John Guttag and Frédo Durand, followed by postdoctoral research with Bill Freeman. I received dual B.S. degrees in Computer Science and Computer Engineering from the University of Michigan.
news
| Oct 01, 2026 | Delivered keynote at the Off-Grid Workshop at MICCAI on our work on implicit neural representations. |
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| Sep 27, 2026 | Three papers accepted to MICCAI 2026: Echo-SCAR (Shehzad et al.), Proxy-CAC (Sato Imuro et al.), and Efficient Conformal Volumetry (Cheung et al.). |
| Jul 31, 2026 | Received three NSF awards: NSF CAREER (CAREER: Neural Fields for Efficient Representation and Exploratory Analysis of Heterogeneous Geospatial Signal Sets), NSF Future CoRe (RI: Generative Cameras for Low-Cost and Multimodal Distributed Sensing), and NSF Collaborations in AI and Geosciences (CAIG: Implicit Neural Fields for Physics-Informed Assimilation of Satellite Irrigation Signals). |
| Feb 27, 2026 | Two papers accepted to CVPR 2026: Noise Pretraining for INRs (Vyas et al.) and Humanless Environment Walkthroughs (Ham et al.). Also, Fast Amortized Fitting of Scientific Signals (Zorek et al.) accepted to the CVPR 3D4Science workshop. |
| Jan 22, 2026 | Two papers accepted to ICLR 2026: COMPASS (Cheung et al.) and GIQ (Michalkiewicz et al.) |