I am an assistant professor in Computer Science at North Carolina State University. I am looking into AI/Machine learning through the lens of Systems. My research interests span Resource-dependent and energy-efficient machine learning, AI/Machine learning for cyber-physical and embedded systems, and Safety-/Time-critical systems. Prior to joining NC State, I was an assistant professor in EECS at Syracuse University (2021-2022.) Before then, I was an associate research scientist in Computer Science at Yale University. I received my PhD degree in Computer Science at the University of Illinois at Urbana-Champaign, and my BS and MS degrees in Computer Science and Engineering at Seoul National University, Korea.

 

jung-eun.kim@ncsu.edu

Available Positions

I am looking for highly motivated Phd/master students. If you are interested in working with me, I usually expect you and me to work together for a while to see if it is working, or you to take my class first so that both can understand each other better. If you would contact me, please include your CV in the email and mention your research interests/experiences.

Current Research Focuses

I am working on neural network architectures and AI/machine learning technologies with resource considerations. I am interested in exploring trade-offs between resource and performance or other factors/aspects/dimensions/functions/values we have not been explicitly aware of. For instance, that is to see what we might lose/gain when we make a machine learning model more compact (by such as unstructured/structured pruning, knowledge distillation, or quantization, etc.) (Our NeurIPS ’22 paper is an instance – Featured in Spotlight and News coverage) It is an actual concern if your target platform is resource-constrained such as embedded systems or edge devices. Also, I am interested in developing a model that “keeps learning” for autonomy so that it does not stay at a statically trained model.

Along with these concerns or separately, I care about the energy consumption and carbon emissions of learning models, especially in embedded systems and edge devices, for sustainability. In this context, I am more interested in inference cost than training cost as enormously many instances of trained models can be fielded in our everyday lives.

 

Service for Upcoming Conferences

• Program Committee of IJCAI 2023
• Program Committee of AAAI 2023
• Technical Programme Committee of DAC 2023 for A1 AI/ML algorithms
• Technical Programme Committee of DATE 2023 for E3 Machine learning solutions for embedded and cyber-physical systems
• Web Chair of CPS-IoT Week 2023
• Program Committee of Programming and System Software of IEEE Cluster 2023

Hope many of you consider submitting your great work to the conferences!

 

Selected Honors and Awards

• Cloud GPU provided by Lambda, worth $17,280, for my course, Resource-dependent neural networks, Spring 2023
• CRA (Computing Research Association) Career Mentoring Workshop, 2022
• NSF SaTC (Secure and Trustworthy Cyberspace): CORE: Small: Partition-Oblivious Real-Time Hierarchical Scheduling, Co-PI, National Science Foundation, 2020–2023
• GPU Grant by NVIDIA Corporation, 2018
• The MIT EECS Rising Stars, 2015
• The Richard T. Cheng Endowed Fellowship, 2015 – 2016

 

Teaching

• Resource-dependent neural networks, Spring 2023, Cloud GPU provided by Lambda, worth $17,280. Thank you, Lambda!
• Resource-/Time-dependent learning, Fall 2022
• Intelligent cyber-physical system, Fall 2021

 

Conference / Journal Publication

• Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu. “Pruning has a disparate impact on model accuracy,” in NeurIPS, 2022
  • 🏆 Featured in Spotlight News coverage
• Man-Ki Yoon, Jung-Eun Kim, Richard Bradford, Zhong Shao, “TimeDice: Schedulability-Preserving Priority Inversion for Mitigating Covert Timing Channels Between Real-time Partitions,” in Proceedings of the 52nd IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Jun. 2022
• Man-Ki Yoon, Mengqi Liu, Hao Chen, Jung-Eun Kim, Zhong Shao, “Blinder: Partition-Oblivious Hierarchical Scheduling,” in Proceedings of the 30th USENIX Security Symposium, Aug. 2021
• Jung-Eun Kim, Richard Bradford, Max Del Giudice and Zhong Shao, “Adaptive Generative Modeling in Resource-Constrained Environments,” in Proceedings of the 24th ACM/IEEE Design, Automation, and Test in Europe (DATE), Feb. 2021.
• Jung-Eun Kim, Richard Bradford, Max Del Giudice and Zhong Shao, “Paired Training Framework for Time-Constrained Learning,” in Proceedings of the 24th ACM/IEEE Design, Automation, and Test in Europe (DATE), Feb. 2021.
• Jung-Eun Kim, Richard Bradford and Zhong Shao, “AnytimeNet: Controlling Time-Quality Tradeoffs in Deep Neural Network Architectures,” in Proceedings of the 23rd ACM/IEEE Design, Automation, and Test in Europe (DATE), Mar. 2020.
• Jung-Eun Kim, Richard Bradford, Man-Ki Yoon and Zhong Shao, “ABC: Abstract prediction Before Concreteness,” in Proceedings of the 23rd ACM/IEEE Design, Automation, and Test in Europe (DATE), Mar. 2020.
• Mengqi Liu, Lionel Rieg, Zhong Shao, Ronghui Gu, David Costanzo, Jung-Eun Kim and Man-Ki Yoon, “Virtual Timeline: A Formal Abstraction for Verifying Preemptive Schedulers with Temporal Isolation,” in Proceedings of the 47th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2020), Jan. 2020.
• Jung-Eun Kim, Tarek Abdelzaher, Lui Sha, Amotz Bar-Noy, Reginald Hobbs and William Dron, “Decision-driven Scheduling“, The Journal Real-Time Systems, Vol. 55, Issue 3, pp 514-551, July 2019.
• Jongdeog Lee, Kelvin Marcus, Tarek Abdelzaher, Md Tanvir A. Amin, William Dron, Ramesh Govindan, Reginald Hobbs, Shaohan Hu, Amotz Bar-Noy, Jung-Eun Kim and Shuochao Yao, “Athena: Towards Decision-centric Anticipatory Sensor Information Delivery,” Journal of Sensor and Actuator Networks, Vol. 7, Issue 1, Jan. 2018.
• Tarek Abdelzaher, Tanvir Al Amin, Amotz Bar-Noy, William Dron, Ramesh Govindan, Reginald Hobbs, Shaohan Hu, Jung-Eun Kim, Shuochao Yao and Yiran Zhao, “Decision-driven Execution: A Distributed Resource Management Paradigm for the Age of IoT,” In Proc. 37th IEEE International Conference on Distributed Computing Systems (ICDCS), Atlanta, GA, June 2017.
• Jung-Eun Kim, Richard Bradford, Tarek Abdelzaher and Lui Sha, “A Schedulability Test for Software Migration on Multicore Systems,“ in Proceedings of the 20th ACM/IEEE Design, Automation, and Test in Europe (DATE 2017), Mar. 2017.
• Jung-Eun Kim, Tarek Abdelzaher, Lui Sha, Amotz Bar-Noy and Reginald Hobbs, “Sporadic Decision-centric Data Scheduling with Normally-off Sensors,” in Proceedings of the 37th IEEE Real-Time Systems Symposium (RTSS 2016), Dec. 2016.
• Jung-Eun Kim, Tarek Abdelzaher, Lui Sha, Amotz Bar-Noy, Reginald Hobbs and William Dron, “On Maximizing Quality of Information for the Internet of Things: A Real-time Scheduling Perspective (Invited Paper),” in Proceedings of the 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, Aug. 2016.
• Lui Sha, Marco Caccamo, Renato Mancuso, Jung-Eun Kim, Man-Ki Yoon, Rodolfo Pellizzoni, Heechul Yun, Russell Kegley, Dennis Perlman, Greg Arundale and Richard Bradford, “Real-Time Computing on Multicore Processors,” in IEEE Computer, Vol. 49, no. 9, pp. 69-77, Sep. 2016.
• Jung-Eun Kim, Tarek Abdelzaher and Lui Sha, “Budgeted Generalized Rate Monotonic Analysis for the Partitioned, yet Globally Scheduled Uniprocessor Model,” in Proceedings of the 21st IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2015 at CPS Week 2015), Apr. 2015.
• Jung-Eun Kim, Tarek Abdelzaher and Lui Sha, “Schedulability Bound for Integrated Modular Avionics Partitions,” in Proceedings of the 18th ACM/IEEE Design, Automation, and Test in Europe (DATE 2015), Mar. 2015.
• Jung-Eun Kim, Man-Ki Yoon, Richard Bradford and Lui Sha, “Integrated Modular Avionics (IMA) Partition Scheduling with Conflict-Free I/O for Multicore Avionics Systems,” in Proceedings of the 38th IEEE Computer Software and Applications Conference, Jul. 2014.
• Man-Ki Yoon, Sibin Mohan, Jaesik Choi, Jung-Eun Kim and Lui Sha, “SecureCore: A Multicore-based Intrusion Detection Architecture for Real-Time Embedded Systems,” in Proceedings of the 19th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2013 at CPS Week 2013), Apr. 2013.
• Jung-Eun Kim, Man-Ki Yoon, Sungjin Im, Richard Bradford and Lui Sha, “Optimized Scheduling of Multi-IMA Partitions with Exclusive Region for Synchronized Real-Time Multi-Core System,” in Proceedings of the 16th ACM/IEEE Design, Automation, and Test in Europe (DATE 2013), Mar. 2013.
• Man-Ki Yoon, Jung-Eun Kim, Richard Bradford and Lui Sha, “Holistic Design Parameter Optimization of Multiple Periodic Resources in Hierarchical Scheduling,” in Proceedings of the 16th ACM/IEEE Design, Automation, and Test in Europe (DATE 2013), Mar. 2013.
• Min-Young Nam, Kyungtae Kang, Rodolfo Pellizzoni, Kyung-Joon Park, Jung-Eun Kim and Lui Sha, “Modeling Towards Incremental Early Analyzability of Networked Avionics Systems using Virtual Integration,” in ACM Transactions on Embedded Computing Systems, Vol. 11, no. 4, pp. 81:1–81:23, Dec. 2012.
• Man-Ki Yoon, Jung-Eun Kim and Lui Sha, “Optimizing Tunable WCET with Shared Resource Allocation and Arbitration in Hard Real-Time Multicore Systems,” in Proceedings of the 32th IEEE Real-Time Systems Symposium (RTSS 2011), Nov. 2011.
• Jung-Eun Kim, Junghee Han and Chang-Gun Lee, “Optimal 3-Coverage with Minimum Separation Requirements for Ubiquitous Computing Environments,” ACM/Springer Mobile Networks and Applications, Vol. 14, Issue 5, pp. 556-570, Oct. 2009.
• Jung-Eun Kim, Man-Ki Yoon, Junghee Han and Chang-Gun Lee, “Sensor Placement for 3-Coverage with Minimum Separation Requirements,” in Proceedings of the 4th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2008), Jun. 2008.
• Min-Young Nam, Mhd Zaher Al-Sabbagh, Jung-Eun Kim, Man-Ki Yoon, Chang-Gun Lee and Eun-Yong Ha, “A Real-time Ubiquitous System for Assisted Living: Combined Scheduling of Sensing and Communication for Real-Time Tracking,” in IEEE Transactions on Computers (TC), Vol. 57, no. 6, pp. 795-808, Jun. 2008.
• Jung-Eun Kim, Man-Ki Yoon, Junghee Han, Chang-Gun Lee and Eun Yong Ha, “Optimal Sensor Placement method for Construction of Ubiquitous Sensing Infra,” Korea Computer Congress (KCC 2008), Jun. 2008.

Workshop Publications, Technical Reports, Dissertation

• Jung-Eun Kim, “Timing Analysis in Existing and Emerging Cyber Physical Systems,” Ph.D. Dissertation, University of Illinois at Urbana-Champaign, Urbana, IL, May 2017.
• Jung-Eun Kim, Richard Bradford, Tarek Abdelzaher and Lui Sha, “Schedulability Analysis for Certification-friendly Multicore Systems,” Technical report, Department of Computer Science, University of Illinois at Urbana-Champaign, Nov. 2016.
• Lui Sha, Marco Caccamo, Renato Mancuso, Jung-Eun Kim, Man-Ki Yoon, Rodolfo Pellizzoni, Heechul Yun, Russel Kegley, Dennis Perlman, Greg Arundale and Richard Bradford, “Single Core Equivalent Virtual Machines for Hard Real-Time Computing on Multicore Processors,” Technical report, Department of Computer Science, University of Illinois at Urbana-Champaign, Nov. 2014.
• Jung-Eun Kim, Man-Ki Yoon, Sungjin Im, Richard Bradford and Lui Sha, “Multi-IMA Partition Scheduling with Synchronized Solo-Partitions for Multi-Core Avionics Systems,” Technical report, Department of Computer Science, University of Illinois at Urbana-Champaign, May. 2012.
• Man-Ki Yoon, Jung-Eun Kim, Richard Bradford and Lui Sha, “Geometric Programming Based Optimization of Multiple Periodic Resources in Hierarchical Scheduling,” Technical report, Department of Computer Science, University of Illinois at Urbana-Champaign, May. 2012.
• Man-Ki Yoon, Jung-Eun Kim and Lui Sha, “WCET-Aware Optimization of Shared Cache Partition and Bus Arbitration for Hard Real-Time Multicore Systems,” Technical report, Department of Computer Science, University of Illinois at Urbana-Champaign, http://www.ideals.illinois.edu/handle/2142/25909, May 2011.
• Man-Ki Yoon, Jung-Eun Kim, Kyungtae Kang, Kyung-Joon Park, Min-Young Nam and Lui Sha, “End-to-End Delay Analysis of Wireless ECG over Cellular Networks,” in Proceedings of the 1st ACM International Workshop on Medical-grade Wireless Networks (WiMD), pp. 21-26, May. 2009.
• Min-Young Nam, Mhd Zaher Al-Sabbagh, Jung-Eun Kim, Man-Ki Yoon, Chang-Gun Lee and Eun Yong Ha. “A Real-Time Ubiquitous System: Real-Time Indoor Tracking of Humans and Objects for Assisted Living,” Technical Report, School of Computer Science and Engineering, Seoul National University, Aug. 2007.

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.