해외전문학술지

42. Min Seok Jang, Kyung Soon Jung, Kyeung Jun Park, Seung Beom Noh, Young Hwan Cha, Hyub Lee, Yong Son, Seung-Jun Shin, Young Won Kim* (2026) High-resolution CTWD classification in wire arc additive manufacturing using time–frequency acoustic representation and deep convolutional neural networks. Journal of Manufacturing Processes, 176, 179-192. DOI  https://doi.org/10.1016/j.jmapro.2026.09.024

 

41. Seung-Jun Shin＊, Seong-Eun Kim, Min-Joon Kwon, Yeoung-Sin Kang, Jeong-Hoon Eom (2025) Digitalization and automation for supply chain resilience using asset administration shell. Computers & Industrial Engineering, 212, 111718, DOI https://doi.org/10.1016/j.cie.2025.111718

 

40. Duck Bong Kim*, Mahdi Sadeqi Bajestani, Ju Yeon Lee, Seung-Jun Shin, Goo-Young Kim, Seyed Mohammad Mehdi Sajadieh, Sangdo Noh (2025) Human-in-the-loop in smart manufacturing (H-SM): A review and perspective. Journal of Manufacturing Systems, 82, 178-199. DOI https://doi.org/10.1016/j.jmsy.2025.05.020

 

39. Duck Bong Kim*, Mahdi Sadeqi Bajestani, Ju Yeon Lee, Seung-Jun Shin, Sang Do Noh (2024) Introduction of Human-in-the-Loop in Smart Manufacturing (H-SM). International Journal of Precision Engineering and Manufacturing - Smart Technology, 2:209-214, DOI https//doi.org/10.57062/ijpem-st.2024.00115

 

38. Young-Suk Choo, Seung-Jun Shin* (2025) Integrating Machine Learning-Based Remaining Useful Life Predictions with Cost-Optimal Block Replacement for Industrial Maintenance. International Journal of Prognostics and Health Management, DOI https://doi.org/10.36001/ijphm.2025.v16i1.4242

 

37. Seung-Jun Shin, Jumyung Um* (2024) Deploying data analytics models in asset administration shells: Energy prediction in manufacturing. Engineering Applications of Artificial Intelligence 138 109269. DOI: https://doi.org/10.1016/j.engappai.2024.109269

 

36. Duck Bong Kim, Hamin Chong, Mohammad Mahruf Mahdi, Seung-Jun Shin* (2024) Data-fused and concatenated-ensemble learning for in-situ anomaly detection in wire and arc-based direct energy deposition. Journal of Manufacturing Processes, 112, 273–289.

 

35. Seung‑Jun Shin, Ju‑Hong Lee, Sainand Jadhav, Duck Bong Kim* (2023) Material‑Adaptive Anomaly Detection Using Property‑Concatenated Transfer Learning in Wire Arc Additive Manufacturing. International Journal of Precision Engineering and Manufacturing, https://doi.org/10.1007/s12541-023-00924-2.

 

34. Seung-Jun Shin, Sung-Ho Hong, Sainand Jadhav, Duck Bong Kim* (2023) Detecting balling defects using multisource transfer learning in wire arc additive manufacturing. Journal of Computational Design and Engineering, 10, 1-20, DOI: 10.1093/jcde/qwad067.

 

33. Eun-Su Kim, Dong-Hee Lee*, Gi-Jeong Seo, Duck-Bong Kim, Seung-Jun Shin (2023) Development of a CNN-based real-time monitoring algorithm for additively manufactured molybdenum. Sensors and Actuators: A. Physical, 352, 114205.

 

32. Jin‑Soo Cho, Dong‑Hee Lee*, Gi‑Jeong Seo, Duck‑Bong Kim, Seung‑Jun Shin (2022) Optimizing the mean and variance of bead geometry in the wire + arc additive manufacturing using a desirability function method. The International Journal of Advanced Manufacturing Technology, https://doi.org/10.1007/s00170-022-09237-6

 

31. Jumyung Um, Taebyeong Park, Hae-Won Cho, Seung-Jun Shin* (2022) Operation-Driven Power Analysis of Discrete Process in a Cyber-Physical System Based on a Modularized Factory. Sustainability, Vol. 14, 3816, https://doi.org/10.3390/su14073816

 

30. Hae-Won Cho, Seung-Jun Shin*, Gi-Jeong Seo, Duck Bong Kim, Dong-Hee Lee (2022) Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material. Journal of Materials Processing Technology, Vol. 302, 117495, https://doi.org/10.1016/j.jmatprotec.2022.117495

 

29. Prita Meilanitasari, Seung-Jun Shin* (2021) A Review of Prediction and Optimization for Sequence-Driven Scheduling in Job Shop Flexible Manufacturing Systems. Processes, vol. 9, 1391, https://doi.org/10.3390/pr9081391

 

28. Young‑Min Kim, Seung‑Jun Shin*, Hae‑Won Cho (2021) Predictive Modeling for Machining Power Based on Multi‑source Transfer Learning in Metal Cutting. International Journal of Precision Engineering and Manufacturing-Green Technology, https://doi.org/10.1007/s40684-021-00327-6

 

27. Seung-Jun Shin*. 2020. An OPC UA-compliant interface of data analytics models for interoperable manufacturing intelligence. IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2020.3024628

 

26. Farrell Samuel Kiling, Seung‑Jun Shin*, Min‑Kyu Lee, Prita Meilanitasari. 2020. An Energy‑Related Products compliant Eco‑design method with durability‑embedded economic and environmental assessments. International Journal of Precision Engineering and Manufacturing - Green Technology, https://doi.org/10.1007/s40684-020-00213-7

 

25. Seung-Jun Shin*, Young-Min Kim, Prita Meilanitasari. 2019. A holonic-based self-learning mechanism for energy-predictive planning in machining processes. Processes, 7, 739, doi:10.3390/pr7100739

 

24. Seung-Jun Shin*. 2019. A hybrid process planning for energy-efficient machining: Application of predictive analytics. IOP Conference Series: Materials and Engineering, 635 012032

 

23. Seung-Jun Shin, Jungyub Woo*, Sudarsan Rachuri, Wonchul Seo. 2019. An energy-efficient process planning system using machine-monitoring data: A data analytics approach. Computer-Aided Design, Vol. 110, pp. 92-109

 

22. Prita Meilanitasari, Seung-Jun Shin*. 2018. A model-driven predictive analytics approach for machining time using historical machine-monitoring data. ICIC Express Letters, Vol. 12, No. 11, pp. 1145-1153.

 

21. Eungchan Kim, Young Seok Ock, Seung-Jun Shin, Wonchul Seo* (2018) An approach to generating reference information for technology evaluation, Sustainability, 10: 3200

 

20. Jungyub Woo, Seung-Jun Shin*, Wonchul Seo, Prita Meilanitasari (2018) Developing a big data analytics platform for manufacturing systems: architecture, method, and implementation, International Journal of Advanced Manufacturing Technology, https://doi.org/10.1007/s00170-018-2416-9

 

19. Junhyeok Park, Seung-Jun Shin, Pyunghoi Koo, Wonchul Seo* (2018) Identifying technology opportunities based on internal capabilities and technical suitability, ICIC Express Letters, 12(6): 599-606

 

18. Ki-Hong Kim, Wonchul Seo, Seung-Jun Shin* (2018) Integration of Environmentally-Conscious Transportation Model with Life Cycle Assessment in Reverse Logistics, ICIC Express Letters, Part B: Applications, 9(8): 827-834

 

17. Seung-Jun Shin*, Jungyub Woo, Sudarsan Rachuri, Prita Meilanitasari, (2018) Standard Data-Based Predictive Modeling for Power Consumption in Turning Machining, Sustainability, 10: 598 (doi:10.3390/su10030598)

 

16. Sanjay Jain, Shao Guodong*, Seung-Jun Shin (2017) Manufacturing data analytics using a virtual factory representation, International Journal Of Production Research, 55(18): 5450-5464

 

15. David Lechevalier, Seung-Jun Shin, Sudarsan Rachuri, Sebti Foufou*, Y. Tina Lee, Abdelaziz Bouras (2017) Simulating a virtual machining model in an agent-based model for advanced analytics, Journal Of Intelligent Manufacturing, DOI 10.1007/s10845-017-1363-x

 

14. Seung-Jun Shin*, Jungyub Woo, Sudarsan Rachuri (2017) Energy efficiency of milling machining: Component modeling and online optimization of cutting parameters, Journal of Cleaner Production, Vol. 161, pp. 12-29

 

13. Seongwook Choi, Seung-Jun Shin, Dongjin Choi, Wonchul Seo* (2016) Analyzing efficiency of intellectual property-intensive industries of OECD countries, ICIC Express Letters, 10(5): 1207-1212

 

12. Duck Bong Kim, Seung-Jun Shin*, Guodong Shao, Alexander Brodsky, (2015) A decision-guidance framework for sustainability performance analysis of manufacturing processes, The International Journal of Advanced Manufacturing Technology, DOI:10.1007/s00170-014-6711-9. ISSN: 0268-3768

 

11. Seung-Jun Shin, Duck Bong Kim*, Guodong Shao, Alexander Brodsky, David Lechevalier (2015) Developing a decision support system for improving sustainability performance of manufacturing processes, Journal of Intelligent Manufacturing, DOI:10.1007/s10845-015-1059-z. ISSN: 0956-5515

 

10. Seung-Jun Shin*, Jungyub Woo, Duck Bong Kim, Senthilkumaran Kumaraguru, Sudarsan Rachuri, (2015) Developing a virtual machining model to generate MTConnect machine-monitoring data from STEP-NC, International Journal of Production Research, DOI: 10.1080/00207543.2015.1064182, ISSN: 0020-7543

 

9. Seung-Jun Shin, Suk-Hwan Suh*, Ian Stroud, SooCheol Yoon (2015) Process-oriented life cycle assessment framework for environmentally conscious manufacturing, Journal of Intelligent Manufacturing, DOI:10.1007/s10845-015-1062-4, ISSN: 0956-5515

 

8. Guodong Shao*, Alexander Brodsky, Seung-Jun Shin, Duck Bong Kim (2014) Decision guidance methodology for sustainable manufacturing using process analytics formalism, Journal of Intelligent Manufacturing, DOI:10.1007/s10845-014-0995-3, ISSN: 0956-5515.

 

7. Seung-Jun Shin, Suk-Hwan Suh*, Ian Stroud (2014) A green productivity based process planning system for a machining process, International Journal of Production Research, . DOI:10.1080/00207543.2014.988884, ISSN: 0020-7543

 

6. Ju Yeon Lee*, Seung-Jun Shin, Y Tina Lee, Donald Libes (2014) Toward development of a testbed for sustainable manufacturing, Concurrent Engineering: Research and Applications, DOI:10.1177/1063293X14559527, ISSN: 1063-293X

 

5. Joo-Sung Yoon, Seung-Jun Shin, Suk-Hwan Suh* (2012) A conceptual framework for the ubiquitous factory, International Journal of Production Research, 50 (8): 2174-2189. ISSN: 0020-7543.

 

4. Seung-Jun Shin, Jumyung Um, Joo-Sung Yoon, Suho Jeong, Jae-Min Cha, Suk-Hwan Suh*, Dae-Hyuk Chung (2009) Developing ISO 14649-based conversational programming system for multi-channel complex machine tools, International Journal of Computer Integrated Manufacturing, 22 (6): 562–575

 

3. Suk-Hwan Suh*, Seung-Jun Shin, Joo-Sung Yoon, Ju-Myung Um (2008) UbiDM: a new paradigm for product design and manufacturing via ubiquitous computing technology, International Journal of Computer Integrated Manufacturing, 21 (5): 540-549.

 

2. Seung-Jun Shin, Suk-Hwan Suh*, Ian Stroud (2007) Reincarnation of G-code based part programs into STEP-NC for turning applications, Computer-Aided Design, 39: 1-16

 

1. Suk-Hwan Suh*, Dae-Hyuck Chung, Byeong-Eon Lee, Seung-Jun Shin, In-Jun Choi, Kwang-Myung Kim, (2006) STEP-compliant CNC system for turning: Data model, architecture and implementation, Computer-Aided Design, 38: 677-688