Guha Balakrishnan

Assistant Professor, Electrical & Computer Engineering, Rice University

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10-20L, BioScience Research
Collaborative (BRC)
guha@rice.edu

My research group works in computer vision, with core focus areas in neural signal and scene representations, medical imaging, and geospatial AI. At Rice University, I am also an active member of the Digital Health Initiative and the Houston Methodist–Rice Digital Health Institute.

Prior to Rice, I completed my PhD at MIT CSAIL under the supervision of John Guttag and Frédo Durand, followed by postdoctoral research with Bill Freeman. I hold 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.
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.)