차상균 교수님 홈페이지 바로가기

Photo 12. 1. 8. 0 26 51 chask_server 차상균 교수 (Prof. Sang Kyun Cha)

서울대학교 데이터사이언스대학원 초대 원장(2020.2~)
Founding Dean of Seoul National University Graduate School of Data Science

빅데이터 연구원 초대 원장(2014.4~2019.8)
Founding Director of SNU Big Data Institute

서울대학교 공과대학 전기 정보공학부
School of Electrical and Computer Engineering,
Seoul National University
Email: chask@snu.ac.kr
Secretary: Ms. Aram Lee (Tel: 82-2-880-1132, email: aoverme@snu.ac.kr)

Education

Ph.D. in Database, AI, NLP, Stanford University (1991)
MS & BS in EE, Seoul National University (1982, 1980)

Areas of Research & Professional Experience (click here for details)

Enterprise-Scale/Cloud-Scale Massively Parallel Distributed In-Memory Database
Ambient AI/AI Life Cycle Management
Real-time Enterprise Data Analytics and Planning
Large-Scale Agile Development of Mission-Critical Software

Courses

Career

Samsung Ho-Am prize laureate in engineering (2022)
Founding Dean of Seoul National University Graduate School of Data Science (2020.1 ~ Present)
SNU School of Electrical and Computer Engineering Professor (1992 ~ Present)
ADeKo Vice-Chair of Board (2017 ~ Present)
Shinhan Investment Corp. Non Executive Board Member (2019 ~ Present)
AMOREPACIFIC Non Executive Board Member (2020 ~ Present)
Founding Director of SNU Big Data Institute (2014 ~ 2019)
Founding Chief Architect of SAP HANA (2005 ~ 2014)
Managing Director of SNU’s Intellectual Property and Technology Licensing Office (2009 ~ 2010)
Director of SNU Automation and Systems Research Institute (2006 ~ 2008)
Transact In Memory, Inc. Founder (2000 ~ 2005)
Stanford University Visiting Associate Professor (2001 ~ 2002)

Professional Activities

Chair, VLDB 2019 Panel Committee
General Chair, IEEE ICDE 2015
Editor, VLDB Journal (2009 ~ 2015)
IEEE ICDE Steering Committee (2015.04 ~ )
Chair, IEEE ICDE 2013 Industrial Program Committee
Co-Chair, VLDB 2006 Industrial Program Committee
Vice-Chair, IEEE ICDE 2006 Program Committee (Area: DBMS Internals and Performance)
General Co-Chair, WAIM 2016
Co-Chair, DASFAA 2003 Program Committee (with Prof. Mastoshi Yoshigawa in Japan)

VLDB 2015,2014 Industrial Program Committee
IEEE ICDE 2012,2008 Demo Program Committee
VLDB 2011 Demo Program Committee
VLDB 2009 Core Database Technology Program Committee
ICDE 2009 Research Program Committee (Area: Query Processing, Query Optimization, Database Tuning and Autonomic Databases)
Panel, IEEE ICDE 2015 “Big Data: Old Wine in New Bottle?”
Session Chair, 2014 Joint Korean-German Conference, “Digital Society & Big Data”
Panel, DASFAA 2012 “Data Management Challenges and Opportunities in Cloud Computing”
Session Chair, VLDB BIRTE 2011 Workshop, “Innovative System Architectures”
Panel Chair, VLDB 2006, “Globalization: Challenges to Database Community” (Seoul, Korea)
Panel Chair, IEEE ICDE 2005, “Paradigm Shift to New DBMS Architecture: Research Issues and Market Needs” (Tokyo, Japan)

DASFAA 2020 Keynote Talk, “Data Science in University: Yet Another Silo or A Hub for Transformation of Education?”(2020.09)
ADMS 2020 Keynote Talk, “Ambient AI: Connecting Physical and Digital Worlds”(2020.09)
BIXPO 2019, “Demystifying AI: What AI can and cannot do and What we should do?”(2019.11)
IBM think Summit Korea 2019, “데이터 사이언스와 AI가 바꾸는 미래”(2019.06)
ICDE HardBD&Active Workshop Keynote Talk, “From In-Memory Database To In-Memory Computing: A Long Journey of Architectural Paradigm Shift”(2019.04)
한미 민관합동 경제포럼, “과학기술과 혁신 – 디지털 이코노미”(2018.12)
VLDB 2018 Industrial Talk, “Enterprise In-Memory Database Technology: A Long Journey from Dreaming to Crossing the Chasm”(2018.08) (Image)
Securing Global Industrial Value Networks Invited Talk, “How to Prepare Industry 4.0 Era for Scalable Growth of Future Global Digital Innovators?”(2018.05)
HKUST Big Data & AI Day 2018 Keynote Talk, “Data Science as A Vehicle for Digital Transformation of Academic Research and Education”(2018.04)
IEEE BigComp 2018 Keynote Talk, “From Academic Research to Market-Disruptive Innovations”(2018.01)
AEARU 2017 Talk, “Toward Broad University Education of Data Science in the Age of Data-driven Disruptive Innovation”(2017.09)
DASFAA 2017, “Optimizing Scalar User-Defined Functions in In-Memory Column-Store Database Systems.”(2017.07)
2016 Big Data All Hands Meeting(BDAHM) Keynote Talk “Direct from Academia to Market: Time of Great Opportunities for Big Data Researchers”(2016.06)
2016 The 1st Korea-China Industrial Innovation Forum Talk “Cloud Computing and Information Technology”(2016.04)
2015 World Engineering Conference and Convention Keynote Talk “Creating Value and solving social issues through the big data revolution”(2015.11)
2015 Korea Japan Database Workshop Keynote Talk “Successful and Emerging Startups in Big Data Industry”(2015.11)
2015 Big Data and Financial Innovation Symposium Keynote Talk “Global Big Data Market Trend and Successful startups”(2015.10)
VLDB IMDM Workshop 2014 Keynote Talk “Enterprise In-Memory Database: A Revolution Beyond Crossing The Chasm”(2014.09)
Database Specialist Workshop 2014 Keynote Talk “What It Takes to Research, Develop, and Go-To-Market a Disruptive In-Memory Data Management Platform Technology”(2014.04)
WWW BIG Workshop 2014 Keynote Talk “In-Memory Real-Time Big Data Processing: What It Takes to Innovate and Change Industry”(2014.04)
2014 BIG DATA WORKSHOP Keynote Talk “Toward Real-Time Innovation with In-Memory Big Data Processing”, The Chinese University of Hong Kong(2014.04)
Big Data Symposium 2013 Keynote Talk “In-Memory Real-Time Big Data Managment: Dream Comes True!”, The Hong Kong University of Science and Technology(2013.09)
2013 한국컴퓨터종합학술대회 초청강연 “인-메모리 데이터베이스 비전과 열정의 여행: 대학 실험실 연구에서 글로벌 시장의 패러다임을 바꾸기까지”(2013.06)
US-Korea Conference 2013 Invited Talk “A Journey of In-Memory Big Data Management Research: From University Prototype to Paradigm Shift in Global Market”(2013.08)
DASFAA 2012 Keynote Talk “A New Paradigm of Thinking and Architecture for Real-time Information Processing at Fingertips”(2012.04)
VLDB BIRTE 2011 Workshop Invited Talk “SAP HANA: Breaking Vertical and Horizontal Tiers in Enterprise with High-Performance Distributed In-Memory Database”(2011.09)

Major Achievement

SAP HANA – My third generation in-memory database engine (SAP HANA – Wikipedia, Article (Korean))
P*TIME – Founded Transact In Memory, Inc. in Silicon Valley in 2002 (also its wholly-owned subsidiary TIM System in Korea in 2000) to fund the development of the next-generation in-memory DBMS and has led it to the successful acquisition by SAP (the #1 global business software company) in 2005. SAP transformed TIM System to SAP Labs Korea and made an official announcement in March 2008.
- P*TIME implemented numerous unique (thus patented) architectural features: parallel differential logging and recovery (published in ICDE 2001), cache-conscious index structures (like one published in SIGMOD 2001), cache-conscious index concurrency control with optimistic latch-free index traversal (published in VLDB 2001), and a memory-centric MVCC (multi-version concurrency control).
Led the development of the first-generation in-memory database storage engine based on the conventional architecture in 1990’s . With partial indirect funding from the Korean government for development, this engine was delivered to a government research institute in early 1997, and has become the basis of a commercial in-memory DBMS, which now has numerous deployments in Korea, especially, in telecom and financial services.

Bio Sketch

Sang Kyun Cha is a professor, an innovator, and an entrepreneur. He worked on three generations of commercialized in-memory database technology since he joined Seoul National University in 1992. In 2000, he founded Transact In Memory, Inc. with his vision of developing an enterprise in-memory database system called P*TIME (Parallel* Transact-In-Memory Engine). The company was quietly acquired by SAP in late 2005.

By early 2006, Prof. Cha’s team completed P*TIME development with an innovative OLTP scalability architecture: parallel logging and recovery, MVCC, optimistic latch-free index concurrency control, and support of seamless two-tier access resilient to application crash as well as three-tier access. His team also tightly integrated P*TIME with SAP’s middleware and application stack and demonstrated its extreme scalability.

With SAP’s in-house column store TREX, P*TIME served as a corner stone of developing SAP HANA, the first distributed enterprise in-memory database system enabling real-time analytics over transactionally integrated row and column stores. Today, SAP and many other companies run ERP, CRM, business warehouse on HANA. By SAP’s request, Prof. Cha led SAP’s Korean HANA development.

In April 2014, Prof. Cha launched Seoul National University’s Big Data Institute to lead trans-disciplinary big data research involving almost all academic disciplines including computer science, engineering, natural and social science, and medicine. He has been on the board of trustees of Seoul National University since December 2014. He has been on the board of Korea Telecom since March 2012, and is providing strategic advice to central and local governments on big data and software industry issues. He is on the editorial board of VLDB Journal since 2009 and was elected as a member of IEEE ICDE Steering committee in 2015.
Prof. Cha received his BS and MS from Seoul National University and his Ph.D. from Stanford University.

Technology Lifecycle & Innovation Opportunities (view slide)

News

Event

Favorite Links

Nepanthe at Big Sur, Califonia, USA : where this picture is taken
San Jose Mercury News : The newspaper covering Silicon Valley and high-tech issues
Stanford InfoLab Seminar: The 20-year-long Stanford seminar series on database research and technology. I organized this seminar during the Fall and Spring quarters of the 2001-2002 academic year.
http://www.paloaltoonline.com : The web site for finding restaurants and interesting things in Palo Alto, CA

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