Tewodros W. Ayalew

PhD Student in Computer Science at the University of Chicago

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Email: tewodrosayalew [at] uchicago [dot] edu

I am a PhD student in Computer Science at the University of Chicago, advised by Dr. Matthew Walter at the Robot Intelligence through Perception Laboratory (RIPL) at the Toyota Technological Institute at Chicago (TTIC).

My research focuses on world models, with an emphasis on learning predictive representations of the physical world from visual experience. I am interested in learning latent actions, dynamics, and structured representations from in the wild human videos, with the goal of building generalizable world models that can understand, predict, and reason about how the world changes. Ultimately, I aim to move beyond curated datasets and controlled environments toward models that learn from diverse real world visual experience and transfer across tasks and embodiments.

Prior to my PhD, I earned an M.Sc. in Computer Science from the University of Saskatchewan, where I worked with Dr. Ian Stavness on unsupervised computer vision.

news

Jun 26, 2025 Our paper “PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement” is accepted at ICCV 2025! 🎉 😊
Feb 10, 2025 Our paper “Enabling End Users to Program Robots Using Reinforcement Learning” has been accepted at HRI 2025.
Nov 26, 2024 Our paper “PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement” is now available on Arxiv.
Jun 15, 2021 Our paper “Automatic Microplot Localization Using UAV Images and a Hierarchical Image-based Optimization Method” has been published in Plant Phenomics.
Aug 28, 2020 Our paper “Unsupervised Domain Adaptation for Plant Organ Counting” received the Best Paper Award in CVPPP at ECCV 2020! 🎉 😊
Aug 20, 2020 Our paper “Unsupervised Domain Adaptation for Plant Organ Counting” has been accepted at ECCV 2020.
Aug 15, 2020 Our paper “AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images” has been accepted at ECCV 2020.

selected publications

  1. PROGRESSOR.gif
    PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
    Tewodros W. Ayalew, Xiao Zhang, Kevin Yuanbo Wu, and 3 more authors
    2025
  2. uda4poc.gif
    Unsupervised Domain Adaptation for Plant Organ Counting
    Tewodros W. Ayalew, Jordan Ubbens, and Ian Stavness
    In Proceedings of the European Conference on Computer Vision (ECCV), 2020