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Amit Rand |
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I am an undergraduate student at UCLA studying Mathematics and Computer Science. My research focuses on robot learning, with particular emphasis on imitation learning, reinforcement learning, and robot interaction and perception, advised by Professor Yuchen Cui. I also work on accelerated 5D MRI reconstruction using diffusion modeling, advised by Professor Kim-Lien Nguyen. Previously, I interned at Amazon, Scale AI, and two startups as a software engineer. I also interned as a research scientist under the Graph AI group at the Leidos AI/ML Research Accelerator.
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Select Publications and Software |
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Sketch2IL: Zero-Shot Imitation Learning via CoTracker-Based Retrieval and Human-Guided Sketch Queries
Amit Rand, Yuchen Cui In Preparation, 2025 A zero-shot imitation learning approach using CoTracker-based retrieval and human-guided sketch queries for robot learning. |
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Beyond Conventional Transformers: A Medical X-ray Attention Block for Improved Multi-Label Diagnosis
Amit Rand, Hadi Ibrahim NeurIPS 2025 Workshop for Imageomics: Discovering Biological Knowledge from Images Using AI, 2025 Paper A novel attention mechanism designed specifically for medical X-ray images to improve multi-label diagnosis. |
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CVIRL fMBV-Microvascular Network Pipeline GUI
Amit Rand, Nikolai Ramalingam, Mostafa Mahmoudi, Kim-Lien Nguyen Proprietary to CVIRL, 2024 A comprehensive medical image analysis platform developed by CVIRL @ UCLA enabling advanced 2D/3D medical image segmentation, centerline analysis, and volumetric reconstruction with an intuitive multi-viewer interface. |
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Last updated: October 13, 2025
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