Projects

Research Programs

Funded programs and research infrastructure supporting TML's research agenda.

Ongoing Projects

Research programs currently active.

Ongoing 2026.07.01 - 2031.12.31

AI Star Fellowship: Deepfake Defense and Agent Authentication

AI스타펠로우십지원(제주대학교, 학제연계형)

Jeju National University (lead), Konkuk University, NC AI, Metsakuur Company, AIVIS

Prof. Sangwoo Hong serves as Project 2 Leader.

Konkuk's Project 2 studies proactive defense for AI video-call-based multi-unit deepfakes and authentication technologies for AI agents.

Trustworthy AIDeepfake DefenseAgent Authentication
Ongoing 2026.04.01 - 2029.12.31

Global Talent Development in Copyright Technology

저작권 기술 글로벌 인재 양성

Ministry of Culture, Sports and Tourism / Korea Creative Content Agency

A talent development and research program for copyright technology in the era of generative AI.

Generative AICopyright TechnologyTrustworthy AI
Ongoing 2026.04.01 - 2031.12.31

Advanced Industry Talent Training Bootcamp

첨단산업 인재양성 부트캠프

Korea Institute for Advancement of Technology

An advanced industry workforce development program supported by KIAT.

EducationAI TrainingIndustry Collaboration
Ongoing 2026.03.01 - 2029.02.28

Verifiable Privacy-Preserving Machine Unlearning

검증 가능한 프라이버시 보존형 머신 언러닝

National Research Foundation of Korea, Early-Career Researcher Program Type A

Research on machine unlearning methods that support verifiability and privacy-preserving guarantees.

UnlearningPrivacyVerifiable Computing

Upcoming Projects

Confirmed programs with a future start date.

Upcoming 2026.11.20 - 2027.03.20

AI Research Computing Support Project

AI연구용컴퓨팅지원프로젝트

KETI, Korea Electronics Technology Institute

Confirmed research computing support with access to eight NVIDIA B200 GPUs for AI research workloads.

InfrastructureFoundation ModelsGPU Computing

Completed Projects

Past research programs and support.

Completed 2025.09.01 - 2026.08.31

Coded Operation-Based Tensor Contraction for Quantum Simulation

양자 시뮬레이션을 위한 부호화 연산 기반 텐서 수축 기법

National Research Foundation of Korea, Outstanding Early-Career Researcher Seed Grant

Robust and efficient quantum circuit simulation through coded operation-based tensor contraction.

Reliable ComputingQuantum ComputingTensor Contraction