cv
General Information
| Full Name | Eunsu Baek |
| Label | PHD Student |
| 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
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2022-current PhD Student
Seoul National University, Seoul, Republic of Korea - Graduate School of Data Science
- AIoT Lab (advisor - prof. Hyung-Sin Kim)
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2020-2022 MS
Seoul National University, Seoul, Republic of Korea - Computer Science and Engineering
- HCIL Lab (advisor - prof. Jin-wook Seo)
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2013-2018 BS
Sookmyung Women's University, Seoul, Republic of Korea - Mathematics
- Computer Science
Research Experience with Publications
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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)
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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
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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
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2024 OpenOOD: Benchmarking Generalized OOD Detection
- My dataset ( ImageNe-ES, CVPR 2024) has been integrated into the OpenOOD benchmark.
Honors and Awards
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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
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2024 Travel funds, CVPR 2024
- Received $400 support from CVPR for business trips.
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2023 SAMSUNG AI Challenge Award, SAIT
- Camera-Invariant Domain Adaptation.
- 1st place (of 212 teams), awarded $7,611
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2023 - current Medical AI Scholarship, SNU AIMED
- receiving $3,805 every semesters
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2022 Coral Competition Award, Google-SNU
- {"NaviBl"=>"Navigation for Blinds."}
- 1st place, awarded $1,522
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2022 GSDS Development Fund Scholarship, SNU GSDS
- Supported by software overseas support foundation.
- awarded $7,611
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2017 Sookmyung Debate Competition Award, SMWU
- Artificial Intelligence: The Future Apocalypse.
- Outstanding awarded
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2016 Leadership Scholarship, SMWU
- Acted as the president of the science student council & GSC member.
- 2 times awarded, $3805
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2015 – 2018 Samsung SW Scholarship, SWMU SCSC
- Awarded for academic excellence student on computer science.
- 5 times awarded, $266
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2015 – 2018 Sookmyung Women’s University Scholarship, SMWU
- Awarded 1st place (21 major courses, 4.07/4.3) & 3x Academic Excellence.
- awarded $2,891
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2014 Club Room Environmental Contest, SMWU
- Acted as the captain of the Natural Science Research Society.
- awarded $380
Teaching Experience
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2024 Summer On-device AI
Samsung Electronics, Seoul, Republic of Korea - Lab Instructor - Designed and ran the practice classes.
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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.
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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.
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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.
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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.
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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
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Software
- Python, Java Script, C/C++/C#, SQL, Java, R, Mathematica
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Platform
- Coral, Jetson, WebApp, System Programming, Android, Arduino, BLE networking, Unity, DBeaver, Bigquery, Neo4J, MongoDB, FPGA, GPU-Programming
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Frameworks
- Torch, Keras, Tensorflow, Flask, React, Vue, D3, IBMFL(Federated Learning), OpenOOD