System Infrastructure for Next-generation Data Lakehouse and Tensor Database System Research
System Infrastructure for Next-generation Data Lakehouse and Tensor Database System Research
November 1, 2025
Project Duration: May 2024 ~ April 2030
Total Grant Amount: KRW ~400,000,000 (approx. USD 400K)
Project Overview
• Infrastructure for Multimodal Learning & Databases: Establishes a distributed infrastructure (multi-node compute/storage) to support scalable multimodal learning pipelines and next-gen databases like data lakehouses and tensor DBs
• Optimization for Multimodal ML: Proposes novel in-process ML operators embedded directly within the lakehouse engine to reduce data movement and boost multimodal training over conventional pipelines
• Tensor DB with Unified Querying: Designs a novel DBMS that combines relational algebra and linear algebra for seamless querying over structured and tensor data—ideal for ML-centric analytics
• HW-SW Co-design for AI Runtimes: Implements PIM/CXL-based runtime integration and profiling (with industry prototypes) to co-optimize hardware accelerators with learning pipelines
• Cross-national Research Collaboration: Anchored in global partnerships (e.g., Univ. of Tokyo, East China Normal Univ., Microsoft, SK Hynix), with planned international workshops and A3 Foresight Program participation
Funding Organizations
Join Us
We seek motivated students and researchers who want to grow as independent scholars and contribute to high-impact data and AI-centric research.
M.S. / Ph.D. Students
We welcome motivated graduate students who want to grow as independent researchers. Students are expected to identify important problems, design rigorous solutions, conduct careful experiments, and communicate their work through high-quality publications.
- Develop research taste through paper reading, discussion, and problem formulation
- Design and evaluate data and AI-driven approaches, and publish at leading venues
- Collaborate with academic and industry partners on impactful research
Postdoctoral Researchers
We welcome postdoctoral researchers interested in leading data and AI-centric research with strong academic and real-world impact. You will have opportunities to define independent research directions, collaborate with international partners, and contribute to high-impact publications.
- Independent research leadership
- International and industry collaboration
- Publication-driven academic career development
Undergraduate Interns
Undergraduate students can join research projects and develop hands-on experience in data and AI research.
- Research-oriented internship opportunities
- Mentoring from graduate students and faculty
- Pathway to advanced graduate research
Please email your CV, transcript, and brief research interests to Prof. Kwanghyun Park.