Pranav Kulkarni

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6116 Executive Blvd, Suite 200
North Bethesda, MD 20852
pranavk [at] umd [dot] edu

Hi! I am a first-year CS PhD student at the University of Maryland, College Park, advised by Heng Huang. I am also a Graduate Research Assistant at the University of Maryland Institute for Health Computing (UM-IHC), where I bridge expertise in machine learning and computer vision with imaging informatics to revolutionize everyday clinical practice and improve patient outcomes.

My research is focused on enabling opportunistic screening for early-stage disease detection and accelerating clinical decision-making for life-threatening diseases. Currently, I am advancing this field through:

  1. Multimodal foundation models that integrate imaging, clinical, and multi-omics data for disease detection.
  2. Generative models that use diffusion- and Flow Matching-based methods for counterfactual generation, data augmentation, and accelerated series acquisition.

In my free time, I enjoy hiking, gardening, and reading about history, biogeography, and urban planning!

Recent News

Feb 2026 One paper accepted at CVPR’26 as highlight.
Jan 2026 One paper accepted at IEEE ISBI’26.
Sep 2025 Elected as the grad student representative for the CS Education Committee.
Jul 2025 Started my PhD at University of Maryland under Heng Huang.
Jul 2025 One paper accepted at ICCV CVAMD’25.
May 2025 A review article that I co-authored has been published in Radiology.
Apr 2025 Received UM-IHC Travel Award to support my travel for MIDL’25.
Mar 2025 Two papers accepted at MIDL’25.
Mar 2025 A book chapter that I co-authored for the MICCAI Society’s Book on Federated learning for Medical Imaging has been published.
Mar 2025 One tiny paper accepted at ICLR’25 Workshop on Bidirectional Human-AI Alignment.

Selected Publications

  1. Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following
    Tianyi Xiong, Yi Ge, Ming Li, Zuolong Zhang, Pranav Kulkarni, Kaishen Wang, Qi He, Zeying Zhu, Chenxi Liu, Ruibo Chen, Tong Zheng, Yanshuo Chen, Xiyao Wang, Renrui Zhang, Wenhu Chen, and Heng Huang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Jun 2026
  2. CRESTomics: Analyzing Carotid Plaques in the CREST-2 Trial with a New Additive Classification Model
    Pranav Kulkarni, Brajesh K. Lal, Georges Jreij, Sai Vallamchetla, Langford Green, Jenifer Voeks, John Huston, Lloyd Edwards, George Howard, Bradley Maron, Thomas Brott, James Meschia, Florence X. Doo, and Heng Huang
    IEEE International Symposium on Biomedical Imaging (IEEE ISBI). Apr 2026
  3. X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging
    Pranav Kulkarni, Junfeng Guo, and Heng Huang
    arXiv preprint arXiv:2602.09284. Jan 2026