Scholarships 1 페이지 | 서울대학교AI연구원(AIIS)

ENGAGE

Scholarships

Youlchon AI Scholarships

Nongshim Youlchon Foundation and SNU AI Institute offer Youlchon AI Scholarships
for the purpose of supporting talented young researchers and promoting AI related research at SNU.

Youlchon AI Star

Youlchon AI Star is an award for those who made distinguished research achievements in core AI fields. The grant is 8 million KRW per person and will be given to 10 students. The applicants must be in graduate programs in core AI fields at SNU, and should be able to present concrete evidence of their excellence in research such as accepted papers in world-class computer sciences conferences.

Youlchon AI for All Fellowship

Youlchon AI for All Fellowship is for students (both undergraduate and graduate) who pursue creative research in their own fields by adopting AI technology. The grant is 10 million KRW per semester (20 million per year) and can be given continually based on the evaluations at each semester. SNU students in any major/department can apply for this program. The number of recipients is 3 for this Fall semester of 2021.

Youlchon AI Scholarship Recipients

Total 21건 1 페이지
  • Youlchon AI for All Fellowship

    Dohoon Lee

    • Bioinformatics + AI

    • AI-based computational modeling of biological phenomena using multi-omics data

  • Youlchon AI for All Fellowship

    Soomin Kim

    • Communication + AI

    • Integrating AI technologies to create a positive user experience

  • Youlchon AI Star

    Seungjun Nah

    • Core AI

    • Dynamic Scene Deblurring: restoring a clean and sharp image from a motion-blurred image with deep learning.

  • Youlchon AI Star

    Seonguk Seo

    • Core AI

    • Improving the generalization ability of algorithms or models in terms of reliability and adaptability.

  • Youlchon AI Star

    Jaemin Yoo

    • Core AI

    • Data mining and machine learning on graphs

  • Youlchon AI Star

    Yeonwoo Jeong

    • Core AI

    • Optimization of deep learning network on the resource-constrained environment

  • Youlchon AI Star

    Eunji Jeong

    • Core AI

    • deep learning systems, distributed systems, and compilers.

  • Youlchon AI for All Fellowship

    Junmo Kim

    • Bioengineering + AI

    • The application of "Explainable AI" techniques to medical field and advancement of the clinical decision support system (CDSS)

  • Youlchon AI for All Fellowship

    Jaemin Seo

    • Energy + AI

    • Prediction and control of nuclear fusion plasmas in a tokamak device by using AI

  • Youlchon AI for All Fellowship

    Jung Kyung Hoon

    • Quantum Physics+AI

    • Application of machine learning algorithms to quantum information processing and data analysis

  • Youlchon AI Star

    Jang-Hyun Kim

    • Core AI

    • Data augmentation and synthesis for efficient and effective neural network training

  • Youlchon AI Star

    Jangho Kim

    • Core AI

    • Efficient model compression methods toward on-device deep learning.

  • Youlchon AI Star

    Heewon Kim

    • Core AI

    • Efficient Deep Neural Networks for Image Restoration and Enhancement

  • Youlchon AI Star

    Sungyong Baik

    • Core AI

    • Few-shot learning algorithms that are effective and widely applicable.

  • Youlchon AI Star

    Gyeong-In Yu

    • Core AI

    • Deep learning system software

  • Youlchon AI Star

    Sangwoong Yoon

    • Core AI

    • Trustworthiness and robustness of machine learning algorithms

  • Youlchon AI Star

    Sangho Lee

    • Core AI

    • Video Understanding & Self-Supervised Representation Learning

  • Youlchon AI Star

    Jungbeom Lee

    • Core AI

    • Research on Label-efficient Deep Learning

  • Youlchon AI Star

    Juheon Yi

    • Core AI

    • Mobile AI platform for Mixed Reality (Mixed Reality, MR) applications

  • Youlchon AI Star

    Hwanhee Lee

    • Core AI

    • Fact-Based Conditional Text Generation and Evaluation

  • Youlchon AI Star

    Jun-Gi Jang

    • Core AI

    • Efficient Tensor Mining for Large-scale Multi-aspect Data

검색