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I am a PhD student at the University of Washington in Computer Science and Engineering supervised by Prof. Ali Farhadi and Prof. Ranjay Krishna (RAIVN Lab). I'm also a graduate student researcher with PRIOR team at the Allen Institute for AI (AI2). In the summers of 2023 and 2024, I was a research intern with at the Allen Institute for AI (AI2), where I worked closely with Kuo-Hao Zeng and Kiana Ehsani. Previously, I received my Bachelor of Science in Computer Engineering from Sharif University of Technology. During the final year of my bachelor's program, I was a visiting student at EPFL where I worked in VILAB under the supervision of Prof. Amir Zamir. My research interests lie in the intersection of computer vision, machine learning, embodied-AI, and Robotics. |
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Ainaz Eftekhar*, Hyeonseong Jeon*, Aaron Walsman, Kuo-Hao Zeng, Ali Farhadi, Ranjay Krishna ArXiv 2025 (in submission) project page / arXiv / code
LOKI |
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Long Cheng*, Jiafei Duan*, Yi Ru Wang, Haoquan Fang, Boyang Li, Yushan Huang, Elvis Wang, Ainaz Eftekhar, Jason Lee, Wentao Yuan, Rose Hendrix, Noah A. Smith, Fei Xia, Dieter Fox, Ranjay Krishna, ArXiv 2025 (in submission) project page / arXiv / code
PointArena is a comprehensive platform for evaluating multimodal pointing across diverse reasoning scenarios. |
(Locally Optimized Kinematic Instantiations) is a compute-efficient co-design framework that discovers diverse, high-performing robot morphologies (divergent forms) using shared control policies (convergent functions).
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: a Robotic Indoor Navigation GeneralistAinaz Eftekhar, Rose Hendrix, Luca Weihs, Jiafe Duan, Ege Caglar, Jordi Salvador, Alvaro Herrasti, Winson Han, Eli VanderBilt, Aniruddha Kembhavi, Ali Farhadi, Ranjay Krishna Kiana Ehsani*, Kuo-Hao Zeng* Arxiv 2025 (in submission) project page / arXiv / code [coming soon]
RING is an embodiment-agnostic policy, trained solely in simulation with diverse randomly initialized embodiments at scale. RING generalizes to diverse real-world embodiments despite being trained exclusively in simulation without access to the real robot configurations. |
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Ainaz Eftekhar*, Kuo-Hao Zeng*, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna ICLR, 2024 [Spotlight] project page / arXiv / code
Inspired by selective attention in humans—the process through which people filter their perception based on their experiences, knowledge, and the task at hand—we introduce a parameter-efficient approach to filter visual stimuli for Embodied-AI. |
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Ainaz Eftekhar*, Alexander Sax*, Roman Bachmann, Jitendra Malik, Amir Zamir ICCV, 2021 project page / arXiv / code
A pipeline to resample comprehensive 3D scans from the real-world into static multi-task vision datasets. |
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Mohammadreza Salehi, Ainaz Eftekhar* Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee arXiv , 2020 arXiv / code A self-supervised approach to Anomaly Detection. |
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Design and source code from Jon Barron's website. |