Publications

• Kim, D., Kim, M., Lee, J., Lee, D., & Um, J. (2025). Reconfigurable machine tending with collaborative robots: leveraging ISO 21919 for enhancing flexibility and safety. International Journal of Computer Integrated Manufacturing, 1-20.

• Murdivien, S. A., & Um, J. (2025). Intelligent robot gripper using embedded AI sensor for box re-sequencing system integrated with spatial layout optimization. Robotics and Computer-Integrated Manufacturing, 94, 102979.

• Kim, M. J., Han, C. H., Park, K. J., Moon, J. S., & Um, J. (2025). A Blockchain-Based Digital Product Passport System Providing a Federated Learning Environment for Collaboration Between Recycling Centers and Manufacturers to Enable Recycling Automation. Sustainability, 17(6), 2679.

• Um, J., Park, J., Lee, D. E., Ahn, J. E., & Baek, J. H. (2025). Machine learning models to identify individuals with imminent suicide risk using a wearable device: a pilot study. Psychiatry Investigation, 22(2), 156.

• Kim, Y. D., Moon, J. H., Park, J. S., & Um, J. (2025). On-demand bi-directional augmented reality for adaptable instructions of machine tools operations. The International Journal of Advanced Manufacturing Technology, 1-18.

• Choi, M. S., Um, J., & Lee, S. S. (2024). Development of a Customized Blockchain Technology-Based Parameter Matching Protocol for Semiconductor Manufacturing. IEEE Access.

• Choi, M., Cho, Y., & Um, J. (2024). Real-Time Detection of Waste Battery Defect using Synthetic Image Datasets based on Deep Learning. Korean Journal of Computational Design and Engineering(KCI, ISSN 2508-4003), 29(1), 1-10.

• Shin, S. J., & Um, J. (2024). Deploying data analytics models in asset administration shells: Energy prediction in manufacturing. Engineering Applications of Artificial Intelligence, 138, 109269.

• Park, T. B., Min Park, J., Murdivien, S. A., & Um, J. (2024). Variational Autoencoder Model Based on 3D Convolutional Neural Network for generative design framework of 3D chair. International Journal of Industrial Engineering and Management(SCI, IF 2.9, ISSN 2271-2661), in-press.

• Park, J. M., Choi, M., & Um, J. (2024). Convolutional LSTM based melt-pool prediction from images of laser tool path strategy in laser powder bed fusion for additive manufacturing. The International Journal of Advanced Manufacturing Technology(SCI, IF 3.4, ISSN 1433-3015), 130(3), 1871-1886.

• Park, J., Son, J., Cho, S., & Um, J. (2024). Smart Cognitive HMI with Automated Knowledge Extraction for Machine tool. IEEE Access.

• Kim, D., Choi, M., & Um, J. (2024). Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning. Robotics and Computer-Integrated Manufacturing(SCIE, IF 10.4, ISSN 0736-5845), 85, 102632.

• Murdivien, S. A., & Um, J. (2023). BoxStacker: Deep Reinforcement Learning for 3D Bin Packing Problem in Virtual Environment of Logistics Systems. Sensors(SCIE, IF 3.9, ISSN: 1424-8220), 23(15), 6928.

• Park, Y. K., Park, J., Kim, S., Lee, D., Lee, S., & Um, J. (2023). Development of Digital twin for Plug-and-Produce of a Machine tending system through ISO 21919 interface. International Journal of Computer Integrated Manufacturing(SCIE, IF 4.1, ISSN: 0951-192X), 36(10), 1449-1464.

• Kim, Y. D., Moon, J. H., Park, J. S., Kim, E. Y., Kim, S. S., & Um, J. (2023, September). Low-cost construction of digital twins using administration asset shell in augmented reality guide service for machine tool operators. In Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023) (Vol. 2023, pp. 12-18). IET.

• Park, S., Bae, B., Kang, K., Kim, H., Nam, M. S., Um, J., & Heo, Y. J. (2023). A deep-learning approach for identifying a drunk person using gait recognition. Applied Sciences(SCIE, ISSN 2076-3417), 13(3), 1390.

• Snyder, S. J., Chu, E., Um, J., Heo, Y. J., Miller, R. H., & Shim, J. K. (2023). Prediction of knee adduction moment using innovative instrumented insole and deep learning neural networks in healthy female individuals. The Knee(SCIE, IF 1.9), 41, 115-123.

• Um, J., Min Park, J., yeon Park, S., & Yilmaz, G. (2023). Low-cost mobile augmented reality service for building information modeling. Automation in Construction(SCIE, IF 10.3, ISSN: 1424-8220), 146, 104662.

• Um, J., Park, T., Cho, H. W., & Shin, S. J. (2022). Operation-driven power analysis of discrete process in a cyber-physical system based on a modularized factory. Sustainability(SCIE, IF 3.889, ISSN 2071-1050), 14(7), 3816.

• Park, Y. K., Kim, M. K., & Um, J. (2022). A One-Stage Ensemble Framework Based on Convolutional Autoencoder for Remaining Useful Life Estimation. Sensors, 22(7), 2817.

• Um, J., Park, J., & Stroud, I. A. (2021). Squashed-slice algorithm based on step-nc for multi-material and multi-directional additive processes. Applied Sciences, 11(18), 8292.

• Um, J., Stroud, I. A., & Park, Y. K. (2019). Deep learning approach of energy estimation model of remote laser welding. Energies, 12(9), 1799.

• Park, J., Lee, S., Lee, J., & Um, J. (2020). GadgetArm—Automatic Grasp Generation and Manipulation of 4-DOF Robot Arm for Arbitrary Objects Through Reinforcement Learning. Sensors, 20(21), 6183.

• Gezer, V., Um, J., & Ruskowski, M. (2018). An introduction to edge computing and a real-time capable server architecture. Int. J. Adv. Intell. Syst.(IARIA), 11(7), 105-114.

• Jeon, B. W., Um, J., Yoon, S. C., & Suk-Hwan, S. (2017). An architecture design for smart manufacturing execution system. Computer-aided design and applications, 14(4), 472-485.

• Yoon, S., Um, J., Suh, S. H., Stroud, I., & Yoon, J. S. (2019). Smart Factory Information Service Bus (SIBUS) for manufacturing application: requirement, architecture and implementation. Journal of Intelligent Manufacturing, 30, 363-382.

• Um, J., & Stroud, I. A. (2017). Design guidelines for remote laser welding in automotive assembly lines. The International Journal of Advanced Manufacturing Technology(SCIE), 89(1), 1039-1051.

• Um, J., Rauch, M., Hascoët, J. Y., & Stroud, I. (2017). STEP-NC compliant process planning of additive manufacturing: remanufacturing. The International Journal of Advanced Manufacturing Technology(SCIE), 88, 1215-1230.

• Um, J., Suh, S. H., & Stroud, I. (2016). STEP-NC machine tool data model and its applications. International Journal of Computer Integrated Manufacturing(SCIE, IF 1.012, ISSN 0951-192X), 29(10), 1058-1074.

• Um, J., & Suh, S. H. (2015). Design method for developing a product recovery management system based on life cycle information. International Journal of Precision Engineering and Manufacturing-Green Technology(SCIE, ISSN: 2288-6206), 2, 173-187.

• Um, J., Stroud, I. A., & Suh, S. H. (2015). Development and evaluation of customisation process for ubiquitous product recovery management system. International Journal of Computer Integrated Manufacturing(SCIE, IF 1.012, ISSN 0951-192X, 97.5), 28(9), 903-919.

• Shin, S. J., Um, J., Yoon, J. S., Jeong, S., Cha, J. M., Suh, S. H., & Chung, D. H. (2009). Developing ISO 14649-based conversational programming system for multi-channel complex machine tools. International Journal of Computer Integrated Manufacturing(KCI, ISSN 1225-9071), 22(6), 562-575.

• Shin, S. J., Um, J. M., Yoon, J. S., Jeong, S. H., Cha, J. M., Suh, S. H., ... & Chung, D. H. (2009). Developing an ISO 44649-based e-CAM System Supporting Multi-channel e-CNC for Composite Machine Tools. Journal of the Korean Society for Precision Engineering (SCIE, IF 2.564, ISSN 0921-3449), 26(4), 23-32.

• Um, J., Yoon, J. S., & Suh, S. H. (2008). An architecture design with data model for product recovery management systems. Resources, conservation and recycling (SCIE, IF 2.564, ISSN 0921-3449), 52(10), 1175-1184.

• Suh, S. H., Shin, S. J., Yoon, J. S., & Um, J. M. (2008). UbiDM: A new paradigm for product design and manufacturing via ubiquitous computing technology. International Journal of Computer Integrated Manufacturing(SCIE, IF 1.012, ISSN 0951-192X), 21(5), 540-549.

·        Hoonseok Park, Jumyung Um, Jae-Yoon Jung, &Martin Ruskowski. (2020) Developing a Production Scheduling System for Modular Factory Using Constraint Programming. International Conference on Robotics in Alpe-Adria Danube Region (RAAD) 2019. June. 19-21, Kaiserslautern Germany, Advances in Intelligent Systems and Computing, vol 980. Pp. 126-133, Springer, Cham (SCOPUS)

·        Jumyung Um, Volkan Gezer, Achim Wagner, Martin Ruskowski. (2020) Edge Computing in Smart Production. In: Berns K., Görges D. (eds) Advances in Service and Industrial Robotics. International Conference on Robotics in Alpe-Adria Danube Region (RAAD) 2019. June. 19-21, Kaiserslautern Germany. Advances in Intelligent Systems and Computing, vol 980. Pp. 144-152, Springer, Cham (SCOPUS)

·        Jumyung Um, Jens Popper and Martin Ruskowski, (2018). Modular augmented reality platform for smart operator in production environment. 1st IEEE International Conference on Industrial Cyber-Physical Systems, May 15-18, 2018, Saint-Petersburg, Russia.

·        Volkan Gezer, Jumyung Um & Martin Ruskowski, (2017). An Extensible Edge Computing Architecture: Definition, Requirements and Enablers. 11th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 12-16 November 2017, Barcelona. (Best awarded paper)

·        Jumyung UM, Klaus Fischer, Torsten Spieldenner & Dennis Kolberg (2017). Development a modular factory with modular software components. 27th International Conference on Flexible Automation and Intelligent Manufacturing, 27-30 June 2017, Modena, Italy.

·        Jumyung Um & Stephan Weyer (2017). Plug-and-Simulate within Modular Assembly Line enabled by Digital Twins and the use of AutomationML, 20th World Congress of the International Federation of Automatic Control, 9-14 July 2017, Toulouse.

·        Marie-Helene Stoltz, Vaggelis Giannikas, Duncan McFarlane and Jumyung Um (2017). Augmented reality in warehouse operations: Opportunities and challenges, 20th World Congress of the International Federation of Automatic Control, 9-14 July 2017, Toulouse.

·        Weyer, S., Meyer, T., Jumyung, U., Ohmer, G. (2016). Open semantic meta-model as a cornerstone for the design, engineering and management of CPS-based Factories. In: 4th AutomationML User Conference (AutomationML-2016), Road to Industrie 4.0: AutomationML as Digital Enabler, October 18-19, Esslingen, Germany.

·        Jumyung Um, Rengarajan Srinivasan, Alan Throne and Duncan McFarlane, “Smart tracking to enable disturbance tolerant manufacturing through enhanced product intelligence,” IEEE International Conference on Industrial Informatics, Cambridge UK, 22-24 July 2015.

·        Kiran Bhat, Jumyung Um and Ian Stroud, “ECO evaluation for remote laser welding”, 30th International CAE Conference, Verona, Italy, 27-28 October 2014.

·        Jumyung Um, Yong-Chan Choi and Ian Stroud, “Factory planning system considering energy-efficient process under cloud manufacturing”, 47th CIRP Conference on Manufacturing Systems, Ontario, Canada, 28-30 April 2014.

·        Jumyung Um, Adam Gontarz and Ian Stroud, “Developing energy estimation model based on Sustainability KPI of machine tools”, 12th Global Conference on Sustainable Manufacturing, Johor Bahru, Malaysia, 2014.

·        Min-jung Yoo, Jumyung Um, Ian Stroud, Soumaya El Kadiri and Dimitris Kiritsis, “Integration of Design Intent during the Product Lifecycle Management”, International Conference on Product Lifecycle Management, Yokohama, Japan, July 7-9, 2014.

·        Jumyung Um and Ian Anthony Stroud, “Total energy estimation model for remote laser welding process”, 46th CIRP Conference on Manufacturing System, vol. 7, pp. 658-663, Setubal, Portugal, 29-30 May 2013.

·        Jumyung Um, Jae-Min Cha, Seung-Jun Shin and Suk-Hwan Suh, “Design and implementation for Product Recovery Management System based on Ubiquitous computing technology”, Proceedings of the 2011 Korean CAD/CAM Conference, Pyongchang, Korea, January 27th 2011, Pp. 509-515.

·        C. Herrmann, S.-H. Suh, G. Bogdanski, A. Zein, J.-M. Cha, J. Um, S. Jeong, A. Guzman, “Context-Aware Analysis Approach to Enhance Industrial Smart Metering”, Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, Braunschweig, Germany, May 3rd 2011, Pp. 323-328.

·        Jumyung Um, Jae-Min Cha, Seung-Jun Shin, Suk-Hwan Suh, “Developing product recovery management system (PRMS) based on ubiquitous computing technology”, Proceedings of the 6th International Symposium on Environmentally Conscious Design and Inverse Manufacturing, Sapporo, Japan, December 8th 2009.

·        Jumyung Um, Jae-Min Cha, Seung-Jun Shin, Suk-Hwan Suh, “Prototype implementation and analysis for MOL information-based PRMS”, Proceedings of the 2008 Spring Joint Conference of the KORMS/KIIE, Pohang, Korea, May 16th 2008, Pp. 1-7.

·        Suk-Hwan Suh, Seung-Jun Shin, Joo-Sung Yoon, Jumyung Um, “A new paradigm for product design and manufacturing via ubiquitous computing technology”, Proceedings of the 13th Korean CAD/CAM Conference, Pyeongchang, Korea, February 1st 2008, Pp. 191-196.

·        Jumyung Um, Joo-Sung Yoon, Suk-Hwan Suh, “Product data modeling & architecture design for product recovery management system”, Proceedings of the 5th International Symposium on Environmentally Conscious Design and Inverse Manufacturing. Tokyo, Japan, December 11th 2007.

·        Jumyung Um, Joo-Sung Yoon, Suho Jeong, Suk-Hwan Suh, “Ubiquitous system for fire escape: architecture and prototype”, Proceedings of the 27th KIPS Spring Conferences, Seongnam, Korea, May 12th  2007, Pp. 806-809.

·        Jumyung Um, Suk-Hwan Suh, “Data modeling and architecture design for product recovery management system”, Proceedings of the 2006 Spring Joint Conference of the KORMS/KIEE, Daejeon, Korea, May 20th  2006, Pp. 1793-1799.

9.  정밀 기계가공 업종의 작업 노하우 기반 생산장비 OM AI 서비스 기술 개발, 한국산업기술평가관리원, 2021-04-01 ~ 2023-12-31

8.  수요맞춤형 스마트 HMI 시스템 개발, 한국산업기술평가관리원, 2020-07-01 ~ 2025-02-28

7.  스마트공장 운영설계 전문인력 양성사업, 한국산업기술진흥원, 2017-03-01 ~ 2022-02-28

6.  스마트 공작기계를 위한 에지 컴퓨팅용 AI 서비스 개발 연구: 공작기계 예지 정비, managed by Doosan Machine Tools, 2019.09.01.~2020.02.28

5.  제품 재설계를 위한 고객리뷰 텍스트분류를 이용한 3D 형상 추천 딥러닝 개발, National Research Foundation of Korea, 2019.01.01.~2022.02.28 (Principal investigator).

4.  Edge computing device for Predictive maintenance of Machine tools, Funded by Doosan Machine Tools, 2018.09 ~ 2019.08, Technology transfer: Source code of distributed processing and AI services, Principle role: Principle investigator and Development of AI services of anomaly detection of each sensors.

3.  The Horizon 2020 EU Framework Programme of AUTOWARE (Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing), 2016.10~2019.09 (Robotic industries).

2.  The Horizon 2020 EU Framework Programme of HyproCell (Development and validation of integrated multiprocess HYbrid PROduction CELLs for rapid individualized laser-based production), 2016.10~2019.09 (Laser Additive Manufacturing Company and CAD companies)

1.  The Horizon 2020 EU Framework Programme of Far-Edge (Factory Automation Edge Computing Operating System Reference Implementation), 2016.10~2019.09 (Robotic industries).