Big Data Systems & Artificial Intelligence Lab
Department of Computer Science
College of Computing, Yonsei University
Latest News
Recent announcements, publications, patents, team updates, and research events from BDAI Lab.
BDAI Lab is actively hiring M.S., Ph.D., postdoctoral researchers, and undergraduate interns.
We are currently recruiting motivated students and researchers interested in data systems, AI infrastructure, and data-centric AI. Join us to work on cutting-edge research with global collaborators.
Kwanghyun Park will serve as a Senior Program Committee member / Meta Reviewer for IEEE ICDE 2027.
Prof. Kwanghyun Park was invited to serve as a Senior Program Committee member / Meta Reviewer for IEEE ICDE 2027, reflecting continued international recognition of his leadership in the data management community.
Kwanghyun Park will serve on the Program Committee for ACM SIGMOD 2027, VLDB 2027, and ACM CIKM 2027.
Prof. Kwanghyun Park was selected as a Program Committee member / reviewer for ACM SIGMOD 2027, VLDB 2027, and ACM CIKM 2027, underscoring BDAI Lab’s growing international visibility in top-tier data systems venues.
Congratulations to Seeun Park and Yurim Oh on being selected for the 2026 Interdisciplinary Medical Science Student Research Program.
Seeun Park and Yurim Oh, undergraduate interns at BDAI Lab, were selected for the 2026 Interdisciplinary Medical Science Student Research Program with full research funding support. Congratulations on this outstanding achievement.
BDAI Lab was selected for the Advanced GPU Utilization Support Program.
BDAI Lab was selected for the advanced GPU utilization support program and was allocated two B200 GPU servers. Congratulations on securing additional large-scale computing resources for AI and systems research.
Kwanghyun Park was invited to speak at DaMoN 2026.
Prof. Kwanghyun Park will deliver an international invited talk / workshop presentation at DaMoN 2026, continuing BDAI Lab's engagement with the international data systems community.
One paper (titled "DFLOP") was accepted to SIGMOD [Top-tier].
This work was accepted to SIGMOD 2026 , reflecting ongoing research progress from BDAI Lab.
Welcome Pyungjoo Kim to BDAI Lab as a graduate student.
Pyungjoo Kim joined BDAI Lab in March 2026 as a graduate student, further expanding the lab’s research capacity in next-generation data and AI systems.
One paper (titled "CANNON") was accepted to DAC [Top-tier].
This work was accepted to DAC 2026 , reflecting ongoing research progress from BDAI Lab.
One paper (titled "Exqutor") was accepted to ICDE [Top-tier].
This work was accepted to ICDE 2026 , reflecting ongoing research progress from BDAI Lab.
One paper (titled "FaScalSQL") was accepted to ICDE [Top-tier].
This work was accepted to ICDE 2026 .
New patent activities reflect BDAI’s growing impact in data systems and AI infrastructure.
The patents page now includes work on multimodal large language model training optimization, AI-and-RAN traffic prediction, and Feature Store Data Preparation Optimization , spanning both domestic and US patent filings.
Kwanghyun Park served on the Program Committee for VLDB 2026, ACM CIKM 2026, DASFAA 2026, DaMoN 2026, and IEEE BigComp 2026.
Prof. Kwanghyun Park contributed as a Program Committee member / reviewer across multiple major international conferences in 2026, highlighting sustained leadership in the global database and data systems research community.
Kwanghyun Park will serve on the Program Committee for DaMoN 2026.
Prof. Kwanghyun Park will serve as a Program Committee member for DaMoN 2026, contributing to the international workshop community on data management and systems research.
BDAI Lab participated in IEEE BigData 2025 in Macau.
BDAI Lab presented recent research at IEEE BigData 2025 in Macau, expanding the lab’s international visibility in large-scale data analytics and AI systems.
BDAI Lab joined IEEE BigDataW 2025 (D2ET) in Macau.
BDAI Lab participated in IEEE BigDataW 2025 (D2ET) in Macau, engaging with the international community on emerging directions in data and AI systems research.
One paper (titled "Spatial Transport Optimization") was accepted to CVPR [Top-tier].
This work was accepted to CVPR 2025 .
Welcome Seeun Park, Yurim Oh, and Nari Hyun as undergraduate research interns.
In December 2025, Seeun Park, Yurim Oh, and Nari Hyun joined BDAI Lab as undergraduate interns, strengthening the lab’s student research community across data systems and AI.
Kwanghyun Park organized the International Workshop on New Generation Databases and Data-Empowering Technologies in the Big Data Era at IEEE BigData 2025.
Prof. Kwanghyun Park served as organizer of an international workshop held in conjunction with IEEE BigData 2025, contributing to global discussion on next-generation databases and data-empowering technologies.
BDAI Lab participated in the Korean Database Conference 2025.
BDAI Lab shared its recent research and joined technical discussions at the Korean Database Conference 2025, strengthening ties with the domestic database systems community.
One paper (titled "SPID-Join") was accepted to SIGMOD [Top-tier].
This work was accepted to SIGMOD 2025 .
We met with Yiwen Zhu from Microsoft Research.
BDAI Lab held a research discussion with Yiwen Zhu from Microsoft Research, strengthening global collaboration in large-scale AI systems and data-centric infrastructure.
Kwanghyun Park delivered an international invited talk at NDBC 2025.
Prof. Kwanghyun Park was invited to NDBC 2025, strengthening BDAI Lab's international research presence in databases and data systems.
BDAI Lab’s project “DeepMMPlanner: Deep Multimodal Large Language Model Training Planner” was recognized as a nationally funded research project.
This achievement reflects continued support for BDAI Lab’s research on multimodal large language model systems and training optimization.
BDAI Lab’s project “HPC Library for Exascale Linear Solver” was recognized as a nationally funded research project.
This funded project highlights the lab’s expanding research scope in high-performance computing infrastructure and large-scale scientific systems.
Welcome YuHsing Li and Yongjin Choi as graduate students, and Hyerin Chung as an undergraduate intern.
September 2025 marked another phase of BDAI’s growth, with YuHsing Li and Yongjin Choi joining as graduate students and Hyerin Chung joining as an undergraduate research intern.
Welcome Sungje Park and Joonseo Heo as undergraduate research interns.
Sungje Park and Joonseo Heo joined BDAI Lab in June 2025 as undergraduate interns, contributing to the lab’s expanding pipeline of student researchers.
Welcome Hyejung Hwang, Chaerim Lee, Sihyun Kim, and Jaeyoung Sim as graduate students.
In March 2025, Hyejung Hwang, Chaerim Lee, Sihyun Kim, and Jaeyoung Sim joined BDAI Lab as graduate students, broadening the lab’s research strength across systems and AI.
BDAI Lab participated in Computer System Society 2025.
BDAI Lab joined Computer System Society 2025, contributing to discussions on scalable computing, systems research, and AI-driven infrastructure.
Welcome Yongjin Choi and Minhyuk Oh as undergraduate interns.
Yongjin Choi and Minhyuk Oh joined BDAI Lab in January 2025 as undergraduate interns, contributing to the lab’s early 2025 research activities.
Kwanghyun Park served on the Program Committee for ACM CIKM 2025, LCTES 2025, and IEEE BigComp 2025.
Prof. Kwanghyun Park served as a Program Committee member / reviewer for several international conferences in 2025, reflecting active service to the worldwide systems, data, and computing communities.
Kwanghyun Park organized the International Workshop on Quantum Data and Machine Learning (QDML 2025) in conjunction with IEEE ICDE 2025.
Prof. Kwanghyun Park organized QDML 2025, helping shape an international forum on emerging intersections of quantum data management and machine learning.
BDAI Lab participated in SK AI Summit 2024.
BDAI Lab joined SK AI Summit 2024, broadening its engagement with industry-facing AI research and collaboration opportunities.
Kwanghyun Park delivered an international invited talk at KJDB 2024.
Prof. Kwanghyun Park was invited to speak at KJDB 2024, contributing to international exchange across the Korean and Japanese database research communities.
One paper (titled "Pushing ML Predictions into DBMSs (Extended Abstract)") was accepted to ICDE [Top-tier].
This work was accepted to ICDE 2024 , reflecting ongoing research progress from BDAI Lab.
BDAI Lab’s project “New Generation Databases and Data Empowering Technologies” was recognized as a nationally funded research project.
This project was highlighted on the research page as a nationally funded foundation project, reinforcing BDAI Lab’s leadership in next-generation database and data empowering technologies.
BDAI Lab participated in VLDB 2024 in Guangzhou, China.
BDAI Lab joined VLDB 2024 in Guangzhou, China, reinforcing its global presence in the international database systems research community.
One paper (titled "Optimizing Data Pipelines for Machine Learning in Feature Stores") was accepted to VLDB [Top-tier].
This work was accepted to VLDB 2024 , reflecting ongoing research progress from BDAI Lab.
We hosted an academic visit from TU Delft.
BDAI Lab welcomed an academic visit from TU Delft, fostering international collaboration in data systems, AI infrastructure, and future joint research opportunities.
BDAI Lab participated in DI Workshop 2024.
BDAI Lab joined DI Workshop 2024, contributing to focused technical exchange on emerging topics in databases, data intelligence, and AI systems.
One paper (titled "Pushing ML Predictions into DBMSs") was accepted to TKDE [IF 10.4].
This work was accepted to TKDE [IF 10.4], reflecting ongoing research progress from BDAI Lab.
One paper (titled "Trinity") was accepted to IEEE Access.
This work was accepted to IEEE Access, reflecting ongoing research progress from BDAI Lab.
BDAI Lab’s project “System Infrastructure for Next-generation Data Lakehouse and Tensor Database System Research” was recognized as a nationally funded research project.
This funded project highlights the lab’s work on scalable system infrastructure for future lakehouse and tensor database platforms.
Welcome Woojin Seo as a visiting scholar from Samsung Electronics.
Woojin Seo joined BDAI Lab in March 2024 as a visiting scholar from Samsung Electronics, strengthening the lab’s ties with industry and applied systems research.
Welcome the first graduate student cohort to BDAI Lab.
In March 2024, Hyeonjun An, Ganghyun Kim, Hyunjoon Kim, and Seokwon Lee joined as BDAI Lab’s first graduate students, marking a major milestone in the lab’s growth.
Industry collaboration meetup with Apollon.
BDAI Lab joined a technical meetup with Apollon, expanding industry connections and exploring collaboration opportunities around AI-driven real-world applications.
Welcome Hyejung Hwang as an undergraduate intern.
Hyejung Hwang joined BDAI Lab in January 2024 as an undergraduate intern, beginning her research journey with the lab before later advancing to a graduate role.
Kwanghyun Park delivered an international invited talk at the Northeast Asia Symposium 2023.
Prof. Kwanghyun Park was invited to the Northeast Asia Symposium 2023, expanding BDAI Lab's international academic visibility in its founding year.
Welcome Ganghyun Kim as an undergraduate intern.
Ganghyun Kim joined BDAI Lab in September 2023 as an undergraduate intern, contributing to the lab’s early student research activities.
Welcome Hyunjoon Sung as an undergraduate intern.
Hyunjoon Sung joined BDAI Lab in August 2023 as an undergraduate intern, becoming part of the lab’s earliest undergraduate research team.
Welcome the first undergraduate interns to BDAI Lab.
In June 2023, Minji Park, Hyunmin Yoo, Hyunjoon Kim, Chaerim Lim, Seungyeon Baek, Hyunjoon Sung, and Ganghyun Kim joined BDAI Lab as its first undergraduate interns, laying the foundation for the lab’s research community.
BDAI Lab was founded at Yonsei University.
BDAI Lab was officially established in March 2023, launching its mission to advance data systems, AI infrastructure, and data-centric AI applications through integrated research.
Kwanghyun Park organized the International Workshop on Databases and Machine Learning (DBML 2023) in conjunction with IEEE ICDE 2023.
Prof. Kwanghyun Park organized DBML 2023, helping advance international exchange at the intersection of databases and machine learning.
Research Partners
Explore Research
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.