Jung-Eun Kim

jung-eun.kim at yale.edu

I am an associate research scientist in Computer Science at Yale University. My research interests include cyber-physical systems, smart cities and internet of things, machine learning, safety-critical systems, timing safety, and real-time systems. I received my PhD degree in Computer Science at the University of Illinois at Urbana-Champaign, 2017. I received my BS and MS degrees from the department of Computer Science and Engineering of Seoul National University, Korea. I was awarded NVIDIA GPU Grant in 2018. I was selected for and gave an invited presentation at the 2015 MIT EECS Rising Stars, and a recipient of the Richard T. Cheng Endowed Fellowship for 2015-2016.

 

[ Conference / Journal Publications ]

[ Workshop Publications, Technical Reports, Dissertation ]

Web Analytics[ Presentations and Talks ]

  • Department of Computer Science at the University of Illinois at Urbana-Champaign, lecture of Embedded Systems (CS 431), “Decision-Centric Data Scheduling in Emerging Cyber-Physical Systems I & II,” Apr. 19 & 24, 2018.
  • Department of Computer Science at the University of Illinois at Urbana-Champaign, lecture of Modern Real-Time Systems (CS 598), “Decision-Centric Data Scheduling in Emerging Cyber-Physical Systems,” Nov. 8, 2017.
  • U.S. Army Research Laboratory, Adelphi, MD, “Decision-Centric Data Scheduling for Autonomous Cyber-Physical Systems,” Nov. 1, 2017.
  • The 20th ACM/IEEE Design, Automation, and Test in Europe (DATE 2017), “A Schedulability Test for Software Migration on Multicore Systems,” Mar. 30, 2017.
  • The 37th IEEE Real-Time Systems Symposium (RTSS 2016), “Sporadic Decision-centric Data Scheduling with Normally-off Sensors,” Dec. 1, 2016.
  • Rockwell Collins Inc., Community of Practice meeting, “Sporadic Decision-centric Data Scheduling with Normally-off Sensors,” Nov. 17, 2016.
  • The 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, “On Maximizing Quality of Information for the Internet of Things: A Real-time Scheduling Perspective (Invited paper),” Aug. 19, 2016.
  • The MIT EECS Rising Stars 2015, “A New Real-Time Scheduling Paradigm for Safety-Critical Multicore Systems” Nov. 9, 2015.
  • The 21st IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2015), “Budgeted Generalized Rate Monotonic Analysis for the Partitioned, Globally Scheduled Uniprocessor Model,” Apr. 16, 2015.
  • The 18th ACM/IEEE Design, Automation, and Test in Europe (DATE 2015), “Schedulability Bound for Integrated Modular Avionics Partitions,” Mar. 10, 2015.
  • Rockwell Collins Inc., Community of Practice meeting, “Integrated Modular Avionics (IMA) Partition Scheduling with Conflict-Free I/O for Multicore Avionics Systems,” Sep. 30, 2014.
  • The 38th IEEE Computer Software and Applications Conference, “Integrated Modular Avionics (IMA) Partition Scheduling with Conflict-Free I/O for Multicore Avionics Systems,” Jul. 23, 2014.
  • The 16th ACM/IEEE Design, Automation, and Test in Europe (DATE 2013), “Optimized Scheduling of Multi-IMA Partitions with Exclusive Region for Synchronized Real- Time Multi-Core System,” Mar. 20, 2013.
  • Rockwell Collins Inc., “Single Core Equivalent Configuration for Multicore Avionic Systems,” Aug. 15, 2012.
  • The 32th IEEE Real-Time Systems Symposium (RTSS 2011), “Optimizing Tunable WCET with Shared Resource Allocation and Arbitration in Hard Real-Time Multicore Systems,” Dec. 2, 2011.

[ Patent ]

  • Chang-Gun Lee, Jung-Eun Kim, and Junghee Han. Sensor Deployment System for 3-Coverage. KR 10-1032998, filed Dec. 30, 2008, and issued Apr. 27, 2011.