- Yonsei University, Assistant Professor, 2015~present
- The University of Texas at Dallas, Assistant Professor (Tenure-track), 2013~2016
- Lawrence Berkeley National Laboratory, Guest Scientist, Computer Architecture Lab 2011~2015
- Samsung Electronics, Memory Division, Researcher/Engineer, 2006~2009
- Pennsylvania State University at Ph.D. Computer Science, 2013
Dr. Jung's research is supported by and in collaboration with the Department of Energy, the National Energy Research Scientific Computing Center in Oakland, California and the National Science Foundation, Ministry of Science, ICT and Future Planning and National Research Foundation of Korea; the total amount of active projects exceeds $6M, and his lab secures more than $2M. He also works with Lawrence Berkeley National Laboratory as Guest Research Scientist, to model and simulate diverse memory technologies on scientific applications in designing energy-efficient Exascale computing systems. In addition to his academic activities, Dr. Jung has many years of industry experience, several industrial U.S. patents related to multi-channel SSDs, and approximately sixty technical papers regarding SSD flash firmware and kernel-level file systems. He earned his Ph.D. in Computer Science at Pennsylvania State University and his M.S. in Computer Science from Georgia Institute of Technology, and an M.S. in Embedded System from Korea University in Seoul. His research has been nominated as best paper from the Institute of Electrical and Electronics Engineers/Association for Computing Machinery (IEEE/ACM) Internal Conference for High Performance Computing, Networking, Storage and Analysis 2013 (SC'13). He has received the Lawrence Berkeley National Laboratory Award of Excellence, Samsung Flash Software Group Best Engineer and Product Planning awards, and Future Scientist and Competitive Professional Development awards from South Korean federal agencies.
Dr. Jung loves memory and storage systems. His research topics are mainly focused on advanced computer architecture, embedded systems, firmware, middleware, memory controller design atop/within storage class Non-Volatile Memory (NVM) technologies such as NAND flash, Resistive RAM (RRAM), Magnetic RAM (STT-RAM), and Phase-change RAM (PCRAM). These emerging NVM studies will define new computer architecture and new parallelism computing, which can in turn boost performance and reduce energy consumption with better reliability at a given technology. he actively leads diverse NVM projects such as modeling open source-based NVM simulation, analyzing/designing high performance many-chip Solid State Disks (SSD), developing host-local NVM systems and optimizing NVM software stacks. He is also interested in introducing different types of NVM technology into big-data processing and scientific applications such as out-of-core computing, in-situ analysis and message logging, and enabling NVM-based burst buffer/micro-check pointing under diverse high performance computing (HPC) and data-center system organizations.