Research

Research Statement
The Big Data Systems & AI Lab (BDAI) at Yonsei University focuses on bridging big data systems and AI/ML technologies to develop efficient, scalable, and intelligent solutions for data-intensive applications. BDAI’s research is built on three core pillars: (i) designing scalable big data systems for machine learning pipelines, (ii) leveraging machine learning to optimize systems for specific workloads, and (iii) exploring advanced hardware—including GPUs, NPUs, DPUs, QPUs, CXL, PIM, and more—to enhance system performance. The lab collaborates with leading research partners in academia and industry, including Microsoft, Google, Meta, University of Wisconsin-Madison, UCSD, CMU, University of Tokyo, Samsung, SK, Intel, TU Delft, and others. By driving innovation at the intersection of data systems and AI, the lab aims to address critical challenges and deliver impactful solutions.




Big Data Systems for ML

Design & develop big data systems for ML lifecycle


Publications





Instance-optimized Big Data Systems with ML

Optimizing big data systems with ML techniques

Publications
Specialized HW For ML/Big Data Systems

Utilizing specialized H/W for big data systems and ML workloads

Publications

Join BDAI Lab

Masters/Ph.D Students

BDAI Lab is accepting Masters/Ph.D students. Please send your CV and transcript to Prof. Park.

Undergraduate Internship

BDAI Lab has multiple openings for undergraduate research internship. Please send your CV and transcript to Prof. Park.

Post-Doctoral Researcher

BDAI Lab is recruiting post-doctoral researchers. Please send your CV and transcript to Prof. Park.

Contact Infomation

Engineering Hall4 D802, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea (03722)

+82-2-2123-2718

kwanghyun.park@yonsei.ac.kr

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