Dayoon Suh

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Hi! I am Dayoon Suh.

I am a undergraduate student majoring in Data Science and Applied Statistics at Purdue University, advised by Prof. Byung-Cheol Min. My primary research interests lie in the intersection of computer vision, multimodal learning, and robot perception. Particularly, I am interested in enabling robots to perceive, reason, and interact with their surroundings in a human-like manner. In general, I am excited about the potential applications of AI in solving real-world problems.

Purdue University SMART Lab Girls Who Code

News

Feb 2025 Received Daniels School of Business Excellence in Business Insights Award at Purdue University.
Jan 2025 1 paper accepted to ICRA 2025.
May 2024 I will join AI & Media Lab at Sungkyunkwan University in Korea as a research intern this summer.
Apr 2024 Received Mary Ann-Neel Scholarship at Purdue University.
Jun 2023 Excited to join Samsung as a machine learning intern this summer!
Apr 2023 Received Data Mine Corporate Partners Scholarship at Purdue University.
Nov 2022 Won 5th place at Unemployment Challenge Hackathon hosted by IronHacks.
Apr 2022 Received Helen Clark Wight Scholarship at Purdue University.
Apr 2022 Won 5th place at Hammer Wars Coding Competition sponsored by AWS/Deloitte.
Aug 2021 Started my journey at Purdue. Boiler Up!

Publications

  1. qatiger.jpg
    Question-Aware Gaussian Experts for Audio-Visual Question Answering
    Hongyeob Kim, Inyoung Jung, Dayoon Suh, and 3 more authors
    (Submitted to CVPR 2025) , 2024
  2. prefmmtgif.gif
    PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal Transformers
    Dezhong Zhao, Ruiqi Wang, Dayoon Suh, and 4 more authors
    2024
  3. pbarlgif.gif
    Personalization in Human-Robot Interaction through Preference-based Action Representation Learning
    Ruiqi Wang, Dezhong Zhao, Dayoon Suh, and 3 more authors
    ICRA, 2025