Jinwoo Song

Name: Jinwoo Song

Department of Mechanical, Robotics and Energy Engineering

Dongguk University-Seoul

Pil-dong, Jung-gu, Seoul, Korea, 100-715

E-mail: jwsong0620@dgu.edu

Biographical Information

  • Ph.D. Philosophy in Mechanical & Aerospace Engineering, Syracuse University, Syracuse, NY

  • M.S. Science in Engineering Management , Syracuse University, Syracuse, NY

  • B. S. Department of Mechanical, Science in Physics , Dongguk University, Seoul, Korea

Academic Experience

  • September, 2021-currently, Research professor in Dongguk University, Seoul, Korea

Research Interests

  • Blockchain applications for manufacturing systems to enhance security against outside or inside attackers

  • Real-time attack detection system development by using machine learning algorithms

  • Design and simulation of Cyber-Physical Attacks on physical testbeds that represent a small-scaled Cyber-Physical Manufacturing Systems (CPMS)

  • Insider Threats in manufacturing systems: detection, prevention, and evaluation

AWARDS & HONORS

2021 Syracuse University Outstanding Teaching Assistants Award

2021 Mechanical & Aerospace Engineering Outstanding Teaching Assistants Award

2021 NAMRC 49 / MSEC 2021 NSF Student Support Award Spring 2021 2020 ECS Research Day Poster Competition 1st place Award

2020 Summer Research Assistantship Award

MAE Travel Award for the International Mechanical Engineering Congress & Exposition

2019 ECS Research Day Poster Competition 1st place Award Spring 2019 Graduate Teaching Assistantship

L.C. Smith College of Engineering and Computer Science Graduate Student Grant


PUBLICATIONS-INTERNATIONAL JOURNAL/ COMMUNICATED INTERNATIONAL JOURNALS


  1. M. Wu, J. Song, S. Sharma, J. Di, B. He, Z. Wang, J. Zhang, L.W.L. Lin, E.A. Greaney, and Y. Moon, "Development of testbed for cyber-manufacturing security issues," International Journal of Computer Integrated manufacturing, vol. 33, pp. 302-320.

  2. M. Wu, J. Song, L. Lin, N. Aurelle, Y. Liu, B. Ding, Z. Song, and Y.B. Moon, "Establishment of intrusion detection testbed for CyberManufacturing systems" Procedia Manufacturing, vol. 26, pp. 1053-1064

RESEARCH PAPER PRESENTED IN NATIONAL/ INTERNATIONAL CONFERENCES


  1. J. Song and Y. B. Moon, "A Layer Image Auditing System Secured by Blockchain," 49th SME North American Manufacturing Research Conference, NAMRC 49, Ohio, USA.

  2. J. Song and Y. B. Moon, "Infill defective detection system augmented by semi-supervised learning," ASME 2020 International Mechanical Engineering Congress and Exposition, Portland.

  3. J. Song, H. Bandaru, X. He, Z. Qiu and Y. B. Moon, "Layered image collection for real-time defective inspection in additive manufacturing," ASME 2020 International Mechanical Engineering Congress and Exposition, Portland.

  4. J. Song and Y. B. Moon, "Security Enhancement Against Insiders for Cyber-Manufacturing Systems," 48th SME North American Manufacturing Research Conference, Ohio.

  5. J. Song, C. Wang, C. Saudrais, M. K. Swanson, E. A. Greaney, Y. B. Moon "Cyber-Manufacturing System Testbed Development: Adversarial Insider Manipulation," 53rd CIRP Conference on Manufacturing Systems, Illinois.

  6. J. Song and Y. B. Moon, "Insider Attack Tree for Cyber-Manufacturing System," 2020 IEEE Systems Security Symposium, Virginia

  7. J. Song, D. Shukla, M. Wu, V. V. Phoha, and Y. B. Moon, "Physical Data Auditing for Attack Detection in Cyber-Manufacturing Systems: Blockchain for Machine Learning Process," ASME 2019 International Mechanical Engineering Congress and Exposition, Utah.

  8. J. Song and Y. B. Moon, "A secure Cyber-Manufacturing System augmented by the Blockchain," ASME 2019 International Mechanical Engineering Congress and Exposition, Utah.