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Keywords: machine learning for engineering applications
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Journal Articles

Self-Supervised Multilabel Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing

Jaehyuk Kim, Zhuo Yang, Yan Lu, Gi Suk Hong
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. July 2025, 25(7): 071006.
Paper No: JCISE-24-1415
https://doi.org/10.1115/1.4068323
Published Online: April 23, 2025
... 1 Corresponding author. Email: jaehyuk.kim@postech.ac.kr artificial intelligence data-driven engineering machine learning for engineering applications References [1] Singh , D. D. , Mahender , T. , and Reddy , A. R. , 2021 , “ Powder Bed Fusion Process...
View Articletitled, Self-Supervised Multilabel Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Laser powder bed fusion, Plumes (Fluid dynamics), Shapes, Machine learning, Selective laser melting, Dimensions, Metals, Monitoring systems
Journal Articles

DESIGNING ROBOTIC MANIPULATION: EXPLORING KNOWLEDGE TRANSFER IN CAUSALWORLD

Accepted Manuscript
Xinrui Wang, Yan Jin
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1332
https://doi.org/10.1115/1.4068471
Published Online: April 17, 2025
...@usc.edu Artificial Intelligence Knowledge Engineering Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received July 02, 2024; Accepted manuscript posted April 17, 2025. doi:10.1115/1.4068471 Copyright ©...
View Articletitled, DESIGNING ROBOTIC MANIPULATION: EXPLORING KNOWLEDGE TRANSFER IN CAUSALWORLD
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Topics: Design, Engineering systems and industry applications, Knowledge transfer, Robotics, Artificial intelligence, Machine learning, Reinforcement learning, Robustness, Trains
Journal Articles

3D-ADCS: Untrained 3D A nomaly D etection for C omplex Manufacturing S urfaces

Accepted Manuscript
Xuanming Cao, Chengyu Tao, Juan Du
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1480
https://doi.org/10.1115/1.4068472
Published Online: April 17, 2025
...@ust.hk Data-Driven engineering Engineering Informatics Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received September 09, 2024; Accepted manuscript posted April 17, 2025. doi:10.1115/1.4068472 Copyright © 2025 by ASME; reuse license...
View Articletitled, 3D-ADCS: Untrained 3D A nomaly D etection for C omplex Manufacturing S urfaces
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Topics: Manufacturing, Engineering systems and industry applications, Inspection, Machine learning, Modeling, Principal component analysis, Shapes, Surface quality
Journal Articles

An Image Generator Enhanced Deep Operator Network for Predicting the Geometry Deformations in Contact Problems with Random Rough Surfaces

Accepted Manuscript
Daxin Liu, Xuxin Guo, Zhenyu Liu, Jianrong Tan
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1448
https://doi.org/10.1115/1.4068456
Published Online: April 16, 2025
... connected neural network as trunk net. 21 08 2024 08 04 2025 10 04 2025 16 04 2025 Computer Aided Engineering Data-Driven engineering Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science...
View Articletitled, An Image Generator Enhanced Deep Operator Network for Predicting the Geometry Deformations in Contact Problems with Random Rough Surfaces
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Topics: Contact mechanics, Deformation, Generators, Geometry, Surface roughness, Artificial neural networks, B-splines, Computer-aided engineering, Elastomers, Electrical resistance
Journal Articles

Special Issue: Networks and Graphs for Engineering Systems and Design

Accepted Manuscript
Zhenghui Sha, Astrid Layton, Babak Heydari, Douglas Van Bossuyt
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-25-1172
https://doi.org/10.1115/1.4068457
Published Online: April 16, 2025
... Artificial Intelligence Data-Driven engineering Engineering Informatics Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received April 08, 2025; Accepted manuscript posted April 16, 2025. doi:10.1115/1.4068457...
View Articletitled, Special Issue: Networks and Graphs for Engineering Systems and Design
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Topics: Design, Engineering systems and industry applications
Journal Articles

The Future of Digital Twin Research and Development

Douglas L. Van Bossuyt, Douglas Allaire, Jason F. Bickford, Thomas A. Bozada, Wei (Wayne) Chen, Roger P. Cutitta, Robert Cuzner, Kristen Fletcher, Ronald Giachetti, Britta Hale, H. Howie Huang, Michael Keidar, Astrid Layton, Allison Ledford, Marina Lesse, Jonathan Lussier, Richard Malak, Bryan Mesmer, Gregory Mocko, Giovanna Oriti, Daniel Selva, Cameron Turner, Michael Watson, Ana Wooley, Zhen Zeng
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. August 2025, 25(8): 080801.
Paper No: JCISE-24-1514
https://doi.org/10.1115/1.4068082
Published Online: April 16, 2025
View Articletitled, The Future of Digital Twin Research and Development
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Topics: Digital twin, Modeling, Simulation
Journal Articles

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

Vispi Karkaria, Jie Chen, Christopher Luey, Chase Siuta, Damien Lim, Robert Radulescu, Wei Chen
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. July 2025, 25(7): 071003.
Paper No: JCISE-24-1419
https://doi.org/10.1115/1.4067270
Published Online: April 3, 2025
... learning for engineering applications References [1] Weissman , S. , Sackman , J. , Gillen , D. , and Monismith , C. , “Extending the Lifespan of Tires: Final Report.” [2] Zheng , L. , Meyendorf , N. , and Mrad , N. 2018 , “ The Role of Data Fusion...
View Articletitled, A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
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Topics: Tires, Digital twin, Maintenance
Journal Articles

Human-Artificial Intelligence Teaming for Scientific Information Extraction from Data-Driven Additive Manufacturing Literature using Large Language Models

Accepted Manuscript
Mutahar Safdar, Jiarui Xie, Andrei Mircea, Yaoyao Fiona Zhao
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1432
https://doi.org/10.1115/1.4068275
Published Online: March 21, 2025
... Interfaces/Interactions Information Management Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received August 15, 2024; Accepted manuscript posted March 21, 2025. doi:10.1115/1.4068275 Copyright © 2025...
View Articletitled, Human-Artificial Intelligence Teaming for Scientific Information Extraction from Data-Driven Additive Manufacturing Literature using Large Language Models
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Topics: Additive manufacturing, Artificial intelligence, Large language models, Collaboration, Computer-aided manufacturing, Design, Engineering disciplines, Engineering systems and industry applications, Machine learning, Manufacturing
Journal Articles

Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks

Xinyao Zhang, Sibo Tian, Xiao Liang, Minghui Zheng, Sara Behdad
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 051002.
Paper No: JCISE-24-1293
https://doi.org/10.1115/1.4067157
Published Online: March 10, 2025
... collaboration (HRC) artificial intelligence machine learning for engineering applications National Science Foundation 10.13039/100000001 2026276 Human–robot collaboration (HRC) is a rapidly growing area of research and application. It plays an important role in various sectors, including...
View Articletitled, Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks
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Topics: Human-robot collaboration, Robots, Trajectories (Physics)
Journal Articles

Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics

Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Rahul Rai
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2025, 25(4): 041006.
Paper No: JCISE-23-1592
https://doi.org/10.1115/1.4067986
Published Online: March 7, 2025
...@g.clemson.edu Email: shazarika@parc.com Email: rrai@clemson.edu 13 12 2023 09 02 2025 12 02 2025 07 03 2025 artificial intelligence machine learning for engineering applications physics-based simulations process modeling for engineering applications In the heart...
View Articletitled, Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics
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Topics: Convolutional neural networks, Diesel engines, Physics, Engines, Flaw detection
Journal Articles

Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems

Boris Oskolkov, Chen Kan, Wenmeng Tian, Andrew Chung Chee Law, Chenang Liu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2025, 25(4): 041004.
Paper No: JCISE-24-1188
https://doi.org/10.1115/1.4067736
Published Online: March 6, 2025
.... Email: chenang.liu@okstate.edu blockchain cyber manufacturing incremental learning security protection engineering informatics industrial internet of things machine learning for engineering applications Algorithm 1: The blockchain-IML integrated framework Input: Stream of data...
View Articletitled, Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems
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Topics: Blockchain technology, Machine learning, Manufacturing, Security, Manufacturing systems
Journal Articles

Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes

Yuqi Su, Xiaolei Fang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2025, 25(4): 041002.
Paper No: JCISE-24-1255
https://doi.org/10.1115/1.4067843
Published Online: February 24, 2025
... of things multiple failure modes mixture (log)-location-scale distribution big data and analytics machine learning for engineering applications National Science Foundation 10.13039/100000001 CMMI-2421921 Degradation is a gradual and irreversible process of damage accumulation...
View Articletitled, Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes
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Topics: Deep learning, Failure mechanisms, Signals, Failure, Engineering systems and industry applications, Service life (Equipment), Weibull distribution
Journal Articles

Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes

Mahathir Mohammad Bappy, Durant Fullington, Linkan Bian, Wenmeng Tian
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. March 2025, 25(3): 031006.
Paper No: JCISE-23-1270
https://doi.org/10.1115/1.4067210
Published Online: January 29, 2025
...-identification intellectual property process-defect modeling privacy-preserving data sharing big data and analytics computational foundations for additive manufacturing cyber physical security for factories cybermanufacturing industrial Internet of things machine learning for engineering applications...
View Articletitled, Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes
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Topics: Additive manufacturing, Algorithms, Data privacy, Design, Intellectual property, Modeling, Printing, Trajectories (Physics), Machine learning, Security
Journal Articles

Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning

Yujian Dong, Tianyu Wu, Chaoyang Song
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. March 2025, 25(3): 031004.
Paper No: JCISE-24-1245
https://doi.org/10.1115/1.4067524
Published Online: January 27, 2025
... engineering engineering informatics machine learning for engineering applications multiphysics modeling and simulation 04 05 2024 12 12 2024 18 12 2024 27 01 2025 1 Corresponding author. Email: songcy@ieee.org Email: 12332365@mail.sustech.edu.cn Email: 12232321...
View Articletitled, Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning
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Topics: Lifelong learning, Modeling, Robotics, Robots
Journal Articles

Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery

Yunqing Li, Hyunwoong Ko, Farhad Ameri
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021010.
Paper No: JCISE-24-1217
https://doi.org/10.1115/1.4067389
Published Online: January 10, 2025
...@asu.edu Email: Farhad.Ameri@asu.edu 23 04 2024 03 12 2024 08 12 2024 10 01 2025 artificial intelligence big data and analytics cybermanufacturing data-driven engineering knowledge engineering machine learning for engineering applications manufacturing automation...
View Articletitled, Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery
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Topics: Construction, Large language models, Manufacturing, Ontologies, Retrieval-augmented generation, Supply chains
Journal Articles

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation

Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021009.
Paper No: JCISE-24-1230
https://doi.org/10.1115/1.4067333
Published Online: December 23, 2024
... on a range of topics, from medicine [ 5 , 6 ] to education [ 7 ] to engineering [ 8 , 9 ]. Directorate for Engineering 10.13039/100000084 2023345746 artificial intelligence data-driven engineering machine learning for engineering applications Graphical Abstract Figure...
View Articletitled, DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation
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Topics: Computer-aided design, Design, Dimensions, Engineering design, Large language models, Retrieval-augmented generation, Vehicles, Engineers, Engineering drawings, Engineering drawing and drafting
Journal Articles

Understanding the Impact of Applying Large Language Model in Engineering Design Education

Chonghui Zhang, Yaoyao Fiona Zhao, Randous El Haddad
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021008.
Paper No: JCISE-24-1218
https://doi.org/10.1115/1.4067318
Published Online: December 19, 2024
...: yaoyao.zhao@mcgill.ca Email: randy.elhaddad@mail.mcgill.ca 23 04 2024 12 11 2024 17 11 2024 19 12 2024 Graphical Abstract Figure artificial intelligence computer-aided design human–computer interfaces/interactions machine learning for engineering applications...
View Articletitled, Understanding the Impact of Applying Large Language Model in Engineering Design Education
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Topics: Chatgpt, Computer-aided design, Design, Modeling, Students, Feedback, Education, Large language models
Journal Articles

Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing

Tsegai O. Yhdego, Hui Wang, Hongmei Chi, Zhibin Yu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011006.
Paper No: JCISE-24-1108
https://doi.org/10.1115/1.4067086
Published Online: December 6, 2024
... cybermanufacturing industrial internet of things engineering informatics machine learning for engineering applications 25 02 2024 26 10 2024 30 10 2024 06 12 2024 Email: zyu@eng.famu.fsu.edu Email: hongmei.chi@famu.edu 1 Corresponding author. Email: hwang10...
View Articletitled, Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing
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Topics: Ontologies, Algorithms, Optimization, Noise (Sound), Manufacturing, Machine learning
Journal Articles

Evaluating Large Language Models for Material Selection

Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021004.
Paper No: JCISE-24-1207
https://doi.org/10.1115/1.4066730
Published Online: November 14, 2024
... context-aware design assistance artificial intelligence data-driven engineering machine learning for engineering applications Material selection plays an important role in the conceptual design phase of engineering projects. The choice of materials directly impacts the overall performance...
View Articletitled, Evaluating Large Language Models for Material Selection
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Topics: Design, Large language models, Temperature, Chain
Journal Articles

Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study

Nuria Nievas, Leonardo Espinosa-Leal, Adela Pagès-Bernaus, Albert Abio, Lluís Echeverria, Francesc Bonada
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011004.
Paper No: JCISE-24-1087
https://doi.org/10.1115/1.4066999
Published Online: November 12, 2024
...@eurecat.org 15 02 2024 24 09 2024 03 10 2024 12 11 2024 artificial intelligence machine learning for engineering applications manufacturing automation Agència de Gestió d'Ajuts Universitaris i de Recerca 10.13039/501100003030 AGAUR 2020 DI 87 Controlling...
View Articletitled, Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study
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Topics: Algorithms, Cycles, Hardening, Manufacturing, Reinforcement learning, Temperature, Data collection, Adaptive control, Uncertainty