I am an assistant professor in Computer Science at North Carolina State University. I am looking into AI/deep learning through the lens of systems. I work on trustworthy and efficient deep learning.  I also have a background in safety-/time-critical systems, and cyber-physical and embedded systems. Prior to joining NC State in 2022, 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 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, Seoul, Korea.

 

jung-eun.kim@ncsu.edu

Available Positions

I am looking for genuinely motivated PhD students. If you are interested in working with me for a PhD program, please contact me with your CV and mention your research interests and experiences.

 

Media Coverage

• Take Aim: The Hottest Problems in Artificial Intelligence
• Researchers Show How Network Pruning can Skew Deep Learning Models

 

Research Focuses

I am interested in deep learning and neural network architectures with bias and resource considerations. I am exploring bias issues arising in deep learning which usually arise due to a discrepancy between train and test sets. I am also 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 pruning, knowledge distillation, or quantization, etc.) (Our NeurIPS ’22 paper is an instance – Featured in Spotlight and News coverage). Also, I am interested in developing a model that “keeps learning” for autonomy so that it does not stay at a statically trained model. When the learning continues, the data itself, the environment, or the mapping of the two may change and get less certain. Overall, I care to make a model trustworthy, efficient, and sustainable.

 

Selected Honors and Awards

• IBM workforce development funds, 2023
• CRA Early & Mid Career Mentoring Workshop, 2023
• Cloud GPU provided by Lambda, worth $17,280, for my course, Resource-dependent neural networks, Spring 2023. Thank you, Lambda!
• 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, 2020–2024
• GPU Grant by NVIDIA Corporation, 2018
• The MIT EECS Rising Stars, 2015
• The Richard T. Cheng Endowed Fellowship, 2015 – 2016

Service

• Senior Program Committee of AAAI 2024
• Reviewer on ICLR 2024
• NSF review panel 2023 (for a different program from the other)
• NSF review panel 2023
• Reviewer on NeurIPS 2023
• 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, DATE 2024 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

 

Students

I am fortunate to advise and work with the brilliant students who have a vision for the future:

• Xingli Fang
• Varun Mulchandani
• Vishwesh Sangarya

Teaching

• Deep learning beyond accuracy, Fall 2023
• 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
• Mengqi Liu, Zhong Shao, Hao Chen, Man-Ki Yoon, and Jung-Eun Kim, “Compositional Virtual Timelines: Verifying Dynamic-Priority Partitions with Algorithmic Temporal Isolation,” in Proceedings of the ACM on Programming Languages (PACMPL), Volume 6, Number OOPSLA2, Article 127, Oct. 2022
• 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.