Samsung Science & Technology Center

PRESENTATION TITLE
Pragmatic Systems Research: Ideals and Reality

Hojung Cha is a Professor in the Department of Computer Science at Yonsei University, Korea. His research interests include energy-efficient mobile and embedded systems, cross-device Web for heterogeneous platforms, ondevice machine learning systems and applications, intermittent computing for batteryless IoT devices, and battery management system for embedded applications. He has published 80+ journal papers and 100+ conference papers at premier venues for mobile and embedded systems, which include MobiSys, MobiCom, IPSN, SenSys, UbiComp, RTSS, INFOCOM, USENIX ATC, PerCom, EMSOFT, IEEE TMC, IEEE TCAD, and so on. Prof. Cha received his B.S. and M.S. in Computer Engineering from Seoul National University, Korea, in 1985 and 1987, respectively. He received his Ph.D. in Computer Science from the University of Manchester, U.K., in 1991. He was appointed as an Underwood Distinguished Professor at Yonsei University in 2014, and currently a Dean of College of Computing, Yonsei University.

PRESENTATION TITLE
What is “Good” Systems Research?

KyoungSoo Park is a Professor in the School of Electrical Engineering at KAIST. He received his B.S. degree from Seoul National University in 1997, and his M.A. and Ph.D. degrees from Princeton University in 2004 and 2007, respectively, all in computer science. Before the current position, he was an assistant professor in the Department of Computer Science at University of Pittsburgh. His recent research interest is focused on high-performance packet processing, scalable network stack and server architecture, and systems support for distributed deep learning. He has developed CoBlitz, a scalable large-file content distribution network (CDN) system, and has served as CTO of its startup that was acquired by Akamai, Inc. in 2012. He has served as Program co-chair of ACM APSys’15 and APNet’20 as well as General chair of APSys’18, and has served on the program committees of a number of networking and systems conferences such as NSDI, SIGCOMM, OSDI, SOSP, CoNext, ATC, EuorSys, and so on. His research team has won several awards including USENIX NSDI Community Award in 2014 (mTCP), USENIX NSDI Best Paper Award in 2017 (mOS), ACM APSys Best Award in 2021 (LoPa).

PRESENTATION TITLE
A Difficult Journey to Construct New, Feasible, and Timely Systems

Yongjun Park is an Associate Professor in the Department of Computer Science at Yonsei University, Korea. Before the current position, he was an Associate Professor in the Department of Computer Science at Hanyang University, an Assistant Professor at Hongik University, and a Software Architect at Intel in CA, USA. He received a Ph.D. degree from the University of Michigan, Ann Arbor, MI, USA, in 2013. His primary research areas include compilers and computer architectures for various computer systems, and he has published 40+ peer-reviewed papers in major venues. He served as an organizing or technical program committee member of major conferences, which include CGO, LCTES, and ICCD.

PRESENTATION TITLE
Early System Design for Emerging Applications: The Case for eXtended Reality

Youngki Lee is an associate professor in the Computer Science and Engineering Department of Seoul National University. He works in the intersection of mobile and pervasive computing, applied machine learning, and human-computer interaction. He has been building innovative and experimental human-centered software systems with multi-dimensional considerations across systems, applications, and users. In particular, he has built a range of mobile, IoT, and machine learning systems to enable alwaysavailable and highly-enriched awareness of human behavior, emotion, and surrounding contexts. Also, he developed various human-centered AI applications in various application domains such as daily healthcare, childcare, education, and retail in collaboration with domain experts. He served as the program and general chair of ACM UbiComp 2018 and as a member of technical program committees and organizing committees of various prestigious conferences in mobile and pervasive computing.

PRESENTATION TITLE
Tech Transfer of AI System Research

Byung-Gon Chun is a Professor in the Computer Science and Engineering Department at Seoul National University (SNU) and a CEO at FriendliAI. Chun is also an Associate Director of Artificial Intelligence Institute at SNU and a Co-Director of SNU-NAVER Hyperscale AI Center. Chun works on systems for machine learning and data processing. Chun was a Visiting Researcher at NAVER in 2020 and was a Visiting Research Scientist at Facebook in 2016- 2017. Before joining SNU, Chun was a Principal Scientist at Microsoft. Prior to that, Chun worked at Yahoo! Research, Intel Research, and International Computer Science Institute. Chun holds a Ph.D. in Computer Science from the University of California, Berkeley, an M.S. in Computer Science from Stanford University, and a B.S. and an M.S. from the Electronic Engineering Department at SNU. He has published papers in the premier conferences such as SOSP, OSDI, NSDI, EuroSys, ATC, NeurIPS, SIGMOD, VLDB, SIGCOMM, and FAST. He is the recipient of the 2021 EuroSys Test of Time Award, the 2020 ACM SIGOPS Hall of Fame Award, the 2020 Google Research Award, the 2019 SNU Education Award, the 2018 Amazon Machine Learning Research Award, the 2017 Facebook Caffe2 Research Award, the 2015 Naver Young Faculty Award, and the 2014 Microsoft Research Faculty Fellowship.

PRESENTATION TITLE
Effective Collaborations with Industrial Research Labs

Myeongjae Jeon is an Associate Professor in the Department of Computer Science and Engineering at UNIST. Before joining UNIST in 2018 fall, he spent several years in the industry with the Systems Research Group at Microsoft Research (2015-2018) and ARM Research (2014-2015). His prior research work was deployed in several production systems at Microsoft, including the Bing search engine, Open Platform for Al (OpenPAI), and Azure telemetry monitoring system, bringing real-world impacts from systems research. Currently, at UNIST, he leads the OMNIA Lab to keep making such impacts in the context of Al systems, real-time big data analytics, and systems for new hardware. He got his Ph.D. from Rice University with research on machine learning-enhanced systems for low-latency index search and received the Best Paper Awards from IEEE ICDE (2022) and ACM SYSTOR (2016).

PRESENTATION TITLE
How to Do Successful Research on Large-scale Cluster Management Systems

Young-ri Choi is a Professor in the Department of Computer Science and Engineering at the Ulsan National Institute of Science and Technology (UNIST). Before she joined UNIST, she worked at VMware, Inc. USA., and Korea Institute of Science and Technology Information (KISTI), Korea. She received her BS degree in computer science from Yonsei University, Seoul, Korea, and her MS and Ph.D. degrees in computer science from the University of Texas at Austin. Her research interests include system software, cloud computing, storage systems, machine learning platforms, big data analytics platforms, and high-performance computing. She has published more than thirty papers in journals and conferences including USENIX Annual Technical Conference (ATC), USENIX Conference on File and Storage Technologies (FAST), USENIX Symposium on Operating Systems Design and Implementation (OSDI), International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), IEEE Transactions on Parallel and Distributed Systems (TPDS), and IEEE Transactions on Services Computing (TSC). She served or will be serving as a program committee member in top conferences such as USENIX ATC and USENIX FAST.

PRESENTATION TITLE
Sustainable System Software Research: What and How

Sam H.(Hyuk) Noh received the BE degree in computer engineering from the Seoul National University, Seoul, Korea, in 1986, and the PhD degree from the Department of Computer Science, University of Maryland, College Park, MD, in 1993. He held a visiting faculty position at the George Washington University, Washington, DC, from 1993 to 1994 before joining Hongik University, Seoul, Korea, where he was a professor in the School of Computer and Information Engineering until the Spring of 2015. Starting from the Fall of 2015 he joined UNIST (Ulsan National Institute of Science and Technology), a young Science and Tech focused national university, where he is a Professor at the Department of Computer Science and Engineering and serves as the inaugural Dean of the Graduate School of Artificial Intelligence in the College of Information and Biotechnology. He has served as General Chair, Program Chair, and Program Committee Member on a number of technical conferences and workshops including USENIX ATC, USENIX FAST, ACM Eurosys, ACM EMSOFT, ACM SOSP, IEEE RTAS, ACM ASPLOS, and USENIX OSDI, among others. He has also been serving as Editor-in-Chief of the ACM Transactions on Storage. His current research interests include operating system issues pertaining to computer systems with a focus on the use of new memory technologies such as flash memory and persistent memory. He is a Fellow of the ACM and the IEEE, and a member of USENIX and KIISE.

PRESENTATION TITLE
Scalability Issues in Modern Software Systems and The Way to Resolve Them

Youjip Won is ICT Endowed Chair Professor at School of Electrical Engineering, KAIST. He did his BS and MS in Dept. of Computer Science, Seoul National University, Seoul, Korea in 1990 and 1992, respectively. He received his Ph. D in Computer Science from University of Minnesota in 1997. He worked for Intel Corp. as Server Performance Analyst till 1999. From 1999 till 2019, he was with Dept. of Computer Science, Hanyang University, Seoul, Korea. He was a Dept. Head and a Director of Center for File and Storage Systems Technology (CFSR) at Hanyang University. He moved to KAIST after 20 years of tenure at Hanyang University.

He was awarded "Outstanding Researcher Award" from Hanyang University(2016) and “Gaheon Outstanding Research Award” from Korean Institute of Information Scientists and Engineers (KIISE)(2017). Funded by Samsung Electronics, he developed Namsan Filesystem. With Namsan Filesystem, he was awarded “Best Academy-Industry Collaboration Practice in Samsung Electronics” in 2006. Namsan Filesystem was deployed in the commercial TV products. His work on IO stack optimization in Android platform identified the root cause of the IO inefficiencies in the Android smartphones (USENIX ATC 2013, best paper award). His work on IO stack design on the Flash Storage proposes a new way of designing the filesystem, block layer and device firmware for the Flash storage (USENIX FAST 2018, best paper award).

He is known for his work on the Android IO stack optimization, filesystem and block layer design for SSD and NVRAM. His research interests include Operating System, Distributed System, Storage System and Software support for byteaddressable NVRAM.

PRESENTATION TITLE
How to Increase Your Depth of Systems Research: Doing Follow-up Research

Youngjin Kwon is an Associate Professor at KAIST School of Computing. He joined KAIST in 2019. He received his Ph.D. degree from the University of Texas at Austin supported by MCD fellowship from 2012 to 2015. His Ph.D work was recognized by VMware, and he contributed to building an initial version of his research work to the VMware commercial hypervisor. His research interests lie in operating systems, machine learning systems, systems security. His research work focuses on designing and building computer systems interacting with hardware and user-level software. He won best paper awards from USENIX Annual Technical Conference (2017) and SOSP (2021).

PRESENTATION TITLE
Deep Leaning on Mobile GPUs : Possibility and Limitation

Youngmin Yi is a Professor in the School of Electrical and Computer Engineering at the University of Seoul since 2010. He is also with the Department of Artificial Intelligence and the Department of Urban Big Data Convergence. He received his B.S. and Ph.D. in Computer Engineering from Seoul National University in 2000 and 2007, respectively. Prior to joining the University of Seoul, he was a postdoctoral researcher in Parallel Computing Lab. at the University of California, Berkeley from 2007 to 2009, and worked for the Multi-core Software group in Samsung Advanced Institute of Technology until 2010. His research interests include on-device deep learning, heterogeneous parallel computing, HW/SW codesign methodology for Deep Learning systems, and various deep learning and ML applications. He has published 50+ peer-reviewed international papers. He served as a technical program committee member of PPoPP 2020, ISC High Performance 2020, HPC Asia 2021, and served as a General Chair of KIISE Computer System Society Winter Conference 2022.

PRESENTATION TITLE
Consider it done. What next?

Inseok Hwang is an Assistant Professor of the Department of Computer Science and Engineering at POSTECH. Before joining POSTECH in 2020, he spent 6 years as a Research Staff Member at IBM Research in Austin, Texas, since 2014. His main research theme lies in “intelligent computing infusing real-life”, with special focuses on human-centered systems, mobile computing, and applied AI. He is a recipient of the Best Paper Award from ACM CSCW and multiple Best Demo Awards from ACM MobiSys. He has been actively serving on technical program committees and editorial boards of premier venues in mobile and human-centered computing. He is a prolific inventor of over 90 U.S. patents issued to date, in recognition of which he was appointed as an IBM Master Inventor. He obtained his Ph.D. in Computer Science from KAIST in 2013.

PRESENTATION TITLE
Abstractions for Future!

Junehwa Song is a Professor and KAIST-endowed Chair Professor in the School of Computing, KAIST, Korea. Prior to joining KAIST, he worked as a research staff member at IBM T.J. Watson Research Center, Yorktown Heights, NY. He received his Ph.D. in Computer Science from University of Maryland at College Park, and BS in Computer Science from Seoul National University. Prof. Song’s research interest includes systems research issues broadly across mobile, wearable, and IoT systems, mobile machine learning platforms, and system support for pervasive social computing. He serves IEEE Pervasive as the associate editor-in-chief and served on the editorial boards of the IEEE TMC, and ACM IMWUT. He also served ACM MobiSys’22 as the program cochair, ACM HotMobile’21 as the program chair, MobiSys’19 as the general cochair, IEEE MDM’17 as the general co-chair, ACM SenSys’15 as the general chair, and ACM UbiComp’14 as the program co-chair. He has been also on the program committees of premier conferences such as MobiSys, SenSys, MobiComp, IPSN, UbiComp, HotMobile, INFOCOM, WebConf, and Multimedia. He and his team are the recipient of the best of CHI Honorable Mention Award 2014, the best paper award of ACM CSCW’14, the honorable mention award of ACM MobileHCI’14, the best demo awards of MobiSys’12 and IEEE SECON’12, the best paper honorable mention of CSCW’11, and the best paper award of MDM’07. He is also the recipient of the KAIST Award of Academic Excellence, the KAIST Award of Intellect of New Frontier, and the KAIST Technology Innovation Award. He is a member of National Academy of Engineering of Korea as well as Korean Academy of Science and Technology.