cv

General Information

Full Name Eunsu Baek
Label PHD Student
Email beshu9407@snu.ac.kr
URL homepage
Github github
Languages Korean, English
Summary Ph.D. student at SNU GSDS whose research focuses on building reliable real-world AI and adaptive sensing for DNNs—improving robustness by optimizing sensor configurations in data acquisition, beyond scaling models alone. This idea is inspired by how humans adapt perception via active sensing (e.g., corrective lenses or pupil dilation/constriction) in the wild. To validate this concept, my research spans robustness benchmarking, adaptive sensing frameworks, and a path toward next-generation AI, with first-author publications at CVPR, ICLR, and NeurIPS. My long-term goal is to build trustworthy embodied AI systems that learn to perceive and act adaptively in the real world toward scalable, human-aligned intelligence.

Education

  • 2022-current
    PhD Student
    Seoul National University, Seoul, Republic of Korea
    • Graduate School of Data Science
    • AIoT Lab (advisor - prof. Hyung-Sin Kim)
  • 2020-2022
    MS
    Seoul National University, Seoul, Republic of Korea
    • Computer Science and Engineering
    • HCIL Lab (advisor - prof. Jin-wook Seo)
  • 2013-2018
    BS
    Sookmyung Women's University, Seoul, Republic of Korea
    • Mathematics
    • Computer Science

Research Experience with Publications

  • 2022.07 - current
    Data scientist and researcher
    AIoT lab, Seoul National University, Seoul, Republic of Korea
    • ImageNet-ES: Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains. (CVPR’ 24)
    • MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping. (IMWUT‘ 23 & UbiComp‘ 24)
    • Out-of-Distribution Detection with Uncertainty Quantification for Optical Diagnosis of Colorectal Polyps (CKAIA’ 24)
    • Lens: Adaptive Camera Sensor for Vision Models. (will be submitted to ICLR‘ 25)
  • 2019.10 - 2022.02
    Research Assistant, Intern
    HCIL Lab, Seoul National University, Seoul, Republic of Korea
    • MRViz: Visualization System for Analyzing Reliability of CNN-based Deep Learning Model
  • 2019.05 - 2022.09
    Research Intern
    HCS lab, Seoul National University, Seoul, Republic of Korea
    • SilverStone: Research and Development on Privacy Preserving Techniques for Server Offloading-based Deep Learning Technology

Open Source Projects

Honors and Awards

  • 2024
    People’s Choice Demo Runner-up Award, Mobisys 2024
    • On-Device Video Virtual Try-On for Mobile Shopping People’s Choice Demo Runner-up Award, Mobisys 2024
  • 2024
    Travel funds, CVPR 2024
    • Received $400 support from CVPR for business trips.
  • 2023
    SAMSUNG AI Challenge Award, SAIT
    • Camera-Invariant Domain Adaptation.
    • 1st place (of 212 teams), awarded $7,611
  • 2023 - current
    Medical AI Scholarship, SNU AIMED
    • receiving $3,805 every semesters
  • 2022
    Coral Competition Award, Google-SNU
    • {"NaviBl"=>"Navigation for Blinds."}
    • 1st place, awarded $1,522
  • 2022
    GSDS Development Fund Scholarship, SNU GSDS
    • Supported by software overseas support foundation.
    • awarded $7,611
  • 2017
    Sookmyung Debate Competition Award, SMWU
    • Artificial Intelligence: The Future Apocalypse.
    • Outstanding awarded
  • 2016
    Leadership Scholarship, SMWU
    • Acted as the president of the science student council & GSC member.
    • 2 times awarded, $3805
  • 2015 – 2018
    Samsung SW Scholarship, SWMU SCSC
    • Awarded for academic excellence student on computer science.
    • 5 times awarded, $266
  • 2015 – 2018
    Sookmyung Women’s University Scholarship, SMWU
    • Awarded 1st place (21 major courses, 4.07/4.3) & 3x Academic Excellence.
    • awarded $2,891
  • 2014
    Club Room Environmental Contest, SMWU
    • Acted as the captain of the Natural Science Research Society.
    • awarded $380

Teaching Experience

  • 2024 Summer
    On-device AI
    Samsung Electronics, Seoul, Republic of Korea
    • Lab Instructor - Designed and ran the practice classes.
  • 2024 Summer
    Advanced Expert Course in Big Data, Fintech, and AI
    K-Digital Traning Program with Seoul National University, Seoul, Republic of Korea
    • Lab Instructor (Head TA) - Designed and ran the practice classes.
  • 2023 Winter
    Ambient AI Boot Camp
    Seoul National University Graduate School of Data Science, Seoul, Republic of Korea
    • Lab Instructor - Designed and ran the practice classes.
  • 2022 Fall
    Ambient AI Platforms and Practice (M3239.005900)
    Seoul National University Graduate School of Data Science, Seoul, Republic of Korea
    • Lab Instructor (Head TA) - Designed, ran the practice classes and built the testbeds.
  • 2021 Fall
    Digital Computer Concept and Practice (035.001)
    Seoul National University Dept. of Computer Science and Engineering, Seoul, Republic of Korea
    • Lab Instructor - Designed and ran the practice classes.
  • 2019 Fall
    Computer Programming (M1522.000600)
    Seoul National University Dept. of Computer Science and Engineering, Seoul, Republic of Korea
    • Lab Instructor - Designed and ran the practice classes.

Skills

  • Software
    • Python, Java Script, C/C++/C#, SQL, Java, R, Mathematica
  • Platform
    • Coral, Jetson, WebApp, System Programming, Android, Arduino, BLE networking, Unity, DBeaver, Bigquery, Neo4J, MongoDB, FPGA, GPU-Programming
  • Frameworks
    • Torch, Keras, Tensorflow, Flask, React, Vue, D3, IBMFL(Federated Learning), OpenOOD