cv

General Information

Full Name Eunsu Baek
Label PHD Student
Email beshu9407@snu.ac.kr
URL homepage
Github github
Languages Korean, English
Summary I have extensive experience in data-driven AI, focusing on high-quality data acquisition through sensor control. I collected new datasets (ImageNet-ES: 202K, ImageNet-ES-Natural: 115.2K) to address robustness and covariate shift issues. Proficient in domain adaptation, out-of-distribution detection, explainable AI, and model robustness, I have completed multiple projects and courses, served as a TA, and received several AI-related awards. My interests include Virtual Try-On, Accessibility, and Health applications.

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