Research Projects
Current and Completed Research Projects
Ongoing Projects
AI Star Fellowship Support Program
AI 스타 펠로우십 지원
Research and development of cooperative intelligent agents for Human×AI companion collaboration and cultivation of top-tier researchers to lead global excellence
2025.07.01 - 2030.12.31
Accelerated Insight Reasoning via Continual Learning
지속학습을 통한 인사이트 고속 추론 연구
Developing advanced techniques for policy adaptation in reinforcement learning using cross-domain skill diffusion methods for improved generalization
2025.04.01 - 2029.12.31
Principal Investigator
Development of open-ended alignment AI technology that continuously aligns with non-stationary environments and values
변화하는 환경과 가치에 지속 부합하는 Open-ended Alignment 인공지능 기술 개발
Development of semantic skill-based out-thinking AI learning technology Development of (Re-)planning technology adaptive to non-stationary environment Development of adapter-based lifelong learning and unlearning technology
2024.07.01 - 2031.12.31
Sub-project Investigator
HiPER (High-Performance Exabyte stoRage)
대규모 AI 지향 Peta-Scale 호스트-스토리지 Co-Design
Focusing on large-scale AI workloads, we aim to develop a host software stack optimized for storage access patterns, design a storage architecture tailored to these patterns, and further optimize the integrated host software stack for efficient Peta-scale data processing.
2024.05.16 – 2026.05.15
Research on Policy Generalization Technique Based on Multimodal Skill Transfer
멀티모달 스킬 전이 기반 정책 일반화 기법 연구
Targeting real-world environments (dynamic environments and complex multitasks) where Embodied AI agents operate, we aim to achieve a high level of policy generalization for agents capable of quickly learning and adapting problem-solving methods for new tasks (unseen tasks) and unexplored, dynamic environmental conditions (unexplored, dynamic environments)
2023.03.01 – 2026.02.28
Principal Investigator
Self-directed Multi-modal Intelligence for Solving Unknown, Open Domain Problems
오픈 도메인 멀티모달 자기주도 인공지능 기술 개발
Securing autonomous learning and adaptation technology for open-domain complex problem situations and demonstrating platform-based agent services Advancing self-supervised learning, meta few-shot learning, and lifelong reinforcement learning for autonomous AI and developing integrated models
2022.04.01 - 2026.12.31
Principal Investigator
Development of Adaptive Personality for Intelligent Agents
개성 형성이 가능한 에이전트 플랫폼 기술 개발
Development of AI agent technology that forms personality based on multimodal information of the target, learns according to the interaction partner, and exhibits social behavior
2022.04.01 - 2026.12.31
Sub-project Investigator
ICT Research and Education
ICT명품인재양성
Cultivating innovative leader-type professional researchers to solve future societal problems and lead new technologies based on ICT technology and multidisciplinary knowledge
2020.07.01 – 2029.12.31
Participant
Completed Projects
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Development of an Open-Source LLM-Based Knowledge Graph Generation Pipeline
오픈소스 LLM 기반 자체 Knowledge Graph Generation Pipeline 개발
Design and implementation of a pipeline to automate knowledge graph generation using LLMs, focusing on prompt design and application testing for tasks such as NER and RE. The project includes benchmarking open-source LLMs, dataset selection, text preprocessing, prompt engineering, and evaluation of the generated knowledge graphs.
2023.09.01 – 2023.11.30
Detection Method for Factors Influencing AI Agent Quality
AI 에이전트 품질 영향 요소 검출 기법
Research on methods to analyze and improve the decision-making quality of AI agents by identifying influential policy factors, diagnosing service errors, and supporting effective policy network debugging in complex environments.
2022.05.16 – 2022.12.16
Development of a Personal Online Golf Simulator (EXTRACE) Based on GIS Information and AI Technology
GIS 정보와 AI기술 기반 개인용 온라인 골프 시뮬레이터(EXTRACE) 개발
Development of a personal golf simulator Securing technology for the development of a personal golf launch monitor with expert-level measurement accuracy
2021.09.01 – 2023.08.31
Sub-project Investigator
Development of a Software Framework to Facilitate Large-Scale AI Applications/Development Based on Federated Inference/Learning Between Data Center and Edge NPUs
데이터센터-엣지 NPU 간 연합 추론/학습 기반 대규모 인공지능 응용/개발을 용이하게 하는 SW 프레임워크 개발
Advancement of federated learning processors between edge and server Development of federated inference processors between edge and server Development of edge NPU hardware performance simulator/profiler Development of distributed deployment algorithms for federated inference models across edge-server NPUs
2021.04.01 – 2024.12.31
Sub-project Investigator
Development of Adaptive Federated Learning Technology in Dynamic Device Environments
동적인 디바이스 환경에서 적응적 연합학습기술 개발
Development of adaptive federated learning technology that is robust to statistical heterogeneity of data and system heterogeneity of devices in dynamic device and data environments, while optimally reflecting the characteristics of individual devices and users as well as application requirements
2021.04.01 – 2022.12.31
Sub-project Investigator
Development of Core AI Sofrware for Drones
드론을 위한 AI 핵심 S/W개발
Development and continuous improvement of core AI technologies and software for services such as situation understanding, autonomous control, swarm collaboration, and emergency response using large-scale data collected from swarm drones, with public release
2020.04.23 – 2024.12.31
Sub-project Investigator
Research on Storage Systems and Application Framework Optimization for Next-Generation Computing Environments
차세대 컴퓨팅환경을 위한 스토리지시스템 및 응용프레임워크 최적화 기술 연구
Research on data-centric computing environments leveraging SmartSSDs extended with CPUs, FPGAs, and GPUs, focusing on system software optimization for data center-scale storage systems based on NVMe-oF, as well as application-level optimization for DBMS and distributed key-value systems utilizing next-generation SSDs.
2019.08.01 – 2022.07.31
Real-Time Data Management and Adaptive Model Serving for Automated Systems
자동화 시스템을 위한 실시간 데이터 관리와 적응적 모델 서빙
An adaptive model serving architecture based on real-time data management that executes appropriate machine learning models and makes decisions without delay under limited resource conditions to proactively respond to changes in the physical operating environment of automated systems
2018.11.01 – 2020.10.31
Principal Investigator
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