@article{Yorston2025advancingarchitecturalfr,author={Yorston, Cole and Chen, Cheng and Camelio, Jaime},doi={10.1177/09544054241260928},dimensions={true},journal={Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture},number={5},pages={711-725},publisher={SAGE Publications},title={Advancing architectural frameworks for vibration signature classification in rotating machinery},url={https://journals.sagepub.com/doi/abs/10.1177/09544054241260928},volume={239},year={2025}}
Yorston, Cole, et al. “Advancing Architectural Frameworks for Vibration Signature Classification in Rotating Machinery.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 239, no. 5, 2025, pp. 711–25, https://doi.org/10.1177/09544054241260928.
AIM-E: AI-Driven Inspection for Manufacturing on the Edge
Paul M Johns and Cheng Chen
In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2025
@inproceedings{Johns2025aimeaidriveninspectionfo,author={Johns, Paul M and Chen, Cheng},booktitle={International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},doi={10.1115/detc2025-166356},pages={V02AT02A048},publisher={American Society of Mechanical Engineers},title={AIM-E: AI-Driven Inspection for Manufacturing on the Edge},url={https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2025/89206/1225761},volume={89206},year={2025}}
Johns, Paul M, and Cheng Chen. “AIM-E: AI-Driven Inspection for Manufacturing on the Edge.” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 89206, 2025, p. V02AT02A048, https://doi.org/10.1115/detc2025-166356.
Exploring Latent System Design Description and Requirement Similarities Using Transformer Based Contextual Embeddings
Cody L Carroll, Xiaoou Yang, Cheng Chen, and 1 more author
In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2024
@inproceedings{Carroll2024exploringlatentsystemdes,author={Carroll, Cody L and Yang, Xiaoou and Chen, Cheng and Morkos, Beshoy},booktitle={International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},doi={10.1115/detc2024-146277},pages={V02BT02A008},publisher={American Society of Mechanical Engineers},title={Exploring Latent System Design Description and Requirement Similarities Using Transformer Based Contextual Embeddings},url={https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2024/88353/1208802},volume={88353},year={2024}}
Carroll, Cody L, et al. “Exploring Latent System Design Description and Requirement Similarities Using Transformer Based Contextual Embeddings.” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 88353, 2024, p. V02BT02A008, https://doi.org/10.1115/detc2024-146277.
Enhancing manufacturing operations with synthetic data: a systematic framework for data generation, accuracy, and utility
Vishnupriya Buggineni, Cheng Chen, and Jaime Camelio
@article{Buggineni2024enhancingmanufacturingop,author={Buggineni, Vishnupriya and Chen, Cheng and Camelio, Jaime},doi={10.3389/fmtec.2024.1320166},dimensions={true},journal={Frontiers in Manufacturing Technology},pages={1320166},publisher={Frontiers Media SA},title={Enhancing manufacturing operations with synthetic data: a systematic framework for data generation, accuracy, and utility},url={https://www.frontiersin.org/journals/manufacturing-technology/articles/10.3389/fmtec.2024.1320166/full},volume={4},year={2024}}
Buggineni, Vishnupriya, et al. “Enhancing Manufacturing Operations with Synthetic Data: a Systematic Framework for Data Generation, Accuracy, and Utility.” Frontiers in Manufacturing Technology, vol. 4, 2024, p. 1320166, https://doi.org/10.3389/fmtec.2024.1320166.
Deep neural networks in natural language processing for classifying requirements by origin and functionality: An application of bert in system requirements
Jesse Mullis, Cheng Chen, Beshoy Morkos, and 1 more author
@article{Mullis2024deepneuralnetworksinnatu,author={Mullis, Jesse and Chen, Cheng and Morkos, Beshoy and Ferguson, Scott},doi={10.1115/1.4063764},dimensions={true},journal={Journal of Mechanical Design},number={4},pages={041401},publisher={American Society of Mechanical Engineers},title={Deep neural networks in natural language processing for classifying requirements by origin and functionality: An application of bert in system requirements},url={https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/146/4/041401/1169299},volume={146},year={2024}}
Mullis, Jesse, et al. “Deep Neural Networks in Natural Language Processing for Classifying Requirements by Origin and Functionality: An Application of Bert in System Requirements.” Journal of Mechanical Design, vol. 146, no. 4, 2024, p. 041401, https://doi.org/10.1115/1.4063764.
A Network Interference Approach to Analyzing Change Propagation in Requirements
Phyo Htet Hein, Elisabeth Kames, Cheng Chen, and 1 more author
Journal of Computing and Information Science in Engineering, 2024
@article{Hein2024anetworkinterferenceappr,author={Hein, Phyo Htet and Kames, Elisabeth and Chen, Cheng and Morkos, Beshoy},doi={10.1115/1.4065273},dimensions={true},journal={Journal of Computing and Information Science in Engineering},number={6},pages={061004},publisher={American Society of Mechanical Engineers},title={A Network Interference Approach to Analyzing Change Propagation in Requirements},url={https://asmedigitalcollection.asme.org/computingengineering/article-abstract/24/6/061004/1199161},volume={24},year={2024}}
Hein, Phyo Htet, et al. “A Network Interference Approach to Analyzing Change Propagation in Requirements.” Journal of Computing and Information Science in Engineering, vol. 24, no. 6, 2024, p. 061004, https://doi.org/10.1115/1.4065273.
From text to images: Linking system requirements to images using joint embedding
@article{Chen2023fromtexttoimageslinkings,author={Chen, Cheng and Carroll, Cody and Morkos, Beshoy},doi={10.1017/pds.2023.199},dimensions={true},journal={Proceedings of the Design Society},pages={1985-1994},publisher={Cambridge University Press},title={From text to images: Linking system requirements to images using joint embedding},url={https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/from-text-to-images-linking-system-requirements-to-images-using-joint-embedding/2C855E8C80D3217D5CC5DD9626570D23},volume={3},year={2023}}
Chen, Cheng, et al. “From Text to Images: Linking System Requirements to Images Using Joint Embedding.” Proceedings of the Design Society, vol. 3, 2023, pp. 1985–94, https://doi.org/10.1017/pds.2023.199.
Exploring topic modelling for generalising design requirements in complex design
@article{Chen2023exploringtopicmodellingf,author={Chen, Cheng and Morkos, Beshoy},doi={10.1080/09544828.2023.2268850},dimensions={true},journal={Journal of Engineering Design},number={11},pages={922-940},publisher={Taylor & Francis},title={Exploring topic modelling for generalising design requirements in complex design},url={https://www.tandfonline.com/doi/abs/10.1080/09544828.2023.2268850},volume={34},year={2023}}
Chen, Cheng, and Beshoy Morkos. “Exploring Topic Modelling for Generalising Design Requirements in Complex Design.” Journal of Engineering Design, vol. 34, no. 11, 2023, pp. 922–40, https://doi.org/10.1080/09544828.2023.2268850.
Development of a Manufacturing Assessment Survey to Promote Entrepreneurial Mindset in Engineering
Fatemeh Mozaffar, Cheng Chen, Beshoy Morkos, and 1 more author
@inproceedings{Mozaffar2023developmentofamanufactur,author={Mozaffar, Fatemeh and Chen, Cheng and Morkos, Beshoy and Ma, Jianfeng},booktitle={2023 ASEE Annual Conference & Exposition},title={Development of a Manufacturing Assessment Survey to Promote Entrepreneurial Mindset in Engineering},url={https://peer.asee.org/development-of-a-manufacturing-assessment-survey-to-promote-entrepreneurial-mindset-in-engineering},year={2023}}
Mozaffar, Fatemeh, et al. “Development of a Manufacturing Assessment Survey to Promote Entrepreneurial Mindset in Engineering.” 2023 ASEE Annual Conference & Exposition, 2023, https://peer.asee.org/development-of-a-manufacturing-assessment-survey-to-promote-entrepreneurial-mindset-in-engineering.
Bridging the knowledge gap between design requirements and cad-a joint embedding approach
@inproceedings{Chen2023bridgingtheknowledgegapb,author={Chen, Cheng and Wei, Siqing and Morkos, Beshoy},booktitle={2023 ASEE Annual Conference & Exposition},title={Bridging the knowledge gap between design requirements and cad-a joint embedding approach},url={https://peer.asee.org/bridging-the-knowledge-gap-between-design-requirements-and-cad-a-joint-embedding-approach},year={2023}}
Chen, Cheng, et al. “Bridging the Knowledge Gap between Design Requirements and Cad-a Joint Embedding Approach.” 2023 ASEE Annual Conference & Exposition, 2023, https://peer.asee.org/bridging-the-knowledge-gap-between-design-requirements-and-cad-a-joint-embedding-approach.
Reasoning support for predicting requirement change volatility using complex network metrics
Phyo Htet Hein, Elisabeth Kames, Cheng Chen, and 1 more author
@article{Hein2022reasoningsupportforpredi,author={Hein, Phyo Htet and Kames, Elisabeth and Chen, Cheng and Morkos, Beshoy},doi={10.1080/09544828.2022.2154051},dimensions={true},journal={Journal of Engineering Design},number={11},pages={811-837},publisher={Taylor & Francis},title={Reasoning support for predicting requirement change volatility using complex network metrics},url={https://www.tandfonline.com/doi/abs/10.1080/09544828.2022.2154051},volume={33},year={2022}}
Hein, Phyo Htet, et al. “Reasoning Support for Predicting Requirement Change Volatility Using Complex Network Metrics.” Journal of Engineering Design, vol. 33, no. 11, 2022, pp. 811–37, https://doi.org/10.1080/09544828.2022.2154051.
Realization of inter-model connections: Linking requirements and computer-aided design
@phdthesis{Chen2022realizationofintermodelc,author={Chen, Cheng},school={University of Georgia},title={Realization of inter-model connections: Linking requirements and computer-aided design},url={https://search.proquest.com/openview/d5e6ee2a165a10b159ee4ac4aa2ef068/1?pq-origsite=gscholar&cbl=18750&diss=y},year={2022}}
Chen, Cheng. Realization of Inter-Model Connections: Linking Requirements and Computer-Aided Design. 2022, https://search.proquest.com/openview/d5e6ee2a165a10b159ee4ac4aa2ef068/1?pq-origsite=gscholar&cbl=18750&diss=y. University of Georgia, PhD thesis.
3d-model shapenet core classification using meta-semantic learning
Farid Ghareh Mohammadi, Cheng Chen, Farzan Shenavarmasouleh, and 3 more authors
@misc{Mohammadi20223dmodelshapenetcoreclass,author={Mohammadi, Farid Ghareh and Chen, Cheng and Shenavarmasouleh, Farzan and Amini, M Hadi and Morkos, Beshoy and Arabnia, Hamid R},title={3d-model shapenet core classification using meta-semantic learning},url={https://arxiv.org/abs/2205.15869},year={2022}}
Mohammadi, Farid Ghareh, et al. 3d-Model Shapenet Core Classification Using Meta-Semantic Learning. 2022, https://arxiv.org/abs/2205.15869.
Employing machine learning techniques to assess requirement change volatility
Phyo Htet Hein, Elisabeth Kames, Cheng Chen, and 1 more author
@article{Hein2021employingmachinelearning,author={Hein, Phyo Htet and Kames, Elisabeth and Chen, Cheng and Morkos, Beshoy},doi={10.1007/s00163-020-00353-6},dimensions={true},journal={Research in engineering design},number={2},pages={245-269},publisher={Springer London},title={Employing machine learning techniques to assess requirement change volatility},url={https://link.springer.com/article/10.1007/s00163-020-00353-6},volume={32},year={2021}}
Hein, Phyo Htet, et al. “Employing Machine Learning Techniques to Assess Requirement Change Volatility.” Research in Engineering Design, vol. 32, no. 2, 2021, pp. 245–69, https://doi.org/10.1007/s00163-020-00353-6.
A topic modeling approach to study design requirements
Cheng Chen, Jesse Mullis, and Beshoy Morkos
In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2021
@inproceedings{Chen2021atopicmodelingapproachto,author={Chen, Cheng and Mullis, Jesse and Morkos, Beshoy},booktitle={International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},doi={10.1115/detc2021-72151},pages={V03AT03A021},publisher={American Society of Mechanical Engineers},title={A topic modeling approach to study design requirements},url={https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2021/V03AT03A021/1128289},volume={85383},year={2021}}
Chen, Cheng, et al. “A Topic Modeling Approach to Study Design Requirements.” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 85383, 2021, p. V03AT03A021, https://doi.org/10.1115/detc2021-72151.
The imminent educational paradigm shift: How artificial intelligence will reframe how we educate the next generation of engineering designers
Cheng Chen, Toluwalase Oluwagbemileke Olajoyegbe, and Beshoy Morkos
In 2020 ASEE Virtual Annual Conference Content Access, 2020
@inproceedings{Chen2020theimminenteducationalpa,author={Chen, Cheng and Olajoyegbe, Toluwalase Oluwagbemileke and Morkos, Beshoy},booktitle={2020 ASEE Virtual Annual Conference Content Access},title={The imminent educational paradigm shift: How artificial intelligence will reframe how we educate the next generation of engineering designers},url={https://peer.asee.org/the-imminent-educational-paradigm-shift-how-artificial-intelligence-will-reframe-how-we-educate-the-next-generation-of-engineering-designers},year={2020}}
———. “The Imminent Educational Paradigm Shift: How Artificial Intelligence Will Reframe How We Educate the next Generation of Engineering Designers.” 2020 ASEE Virtual Annual Conference Content Access, 2020, https://peer.asee.org/the-imminent-educational-paradigm-shift-how-artificial-intelligence-will-reframe-how-we-educate-the-next-generation-of-engineering-designers.
A Maximum Entropy Approach to Identifying Important Statistical Moments to Best-Represent Spray Distribution Data
@mastersthesis{Chen2016amaximumentropyapproacht,author={Chen, Cheng},school={Florida Institute of Technology},title={A Maximum Entropy Approach to Identifying Important Statistical Moments to Best-Represent Spray Distribution Data},url={https://repository.fit.edu/etd/432/},year={2016}}
Chen, Cheng. A Maximum Entropy Approach to Identifying Important Statistical Moments to Best-Represent Spray Distribution Data. 2016, https://repository.fit.edu/etd/432/. Florida Institute of Technology, Master's thesis.