Dr. Cheng Chen Assistant Professor, ISEEM Contact 5000 Technology Drive NWOlin B. King Technology HallRoom N149Huntsville, AL 35899 Campus Map 256.824.6337cc1115@uah.edu Biography Cheng Chen is an assistant professor in the Department of Industrial & Systems Engineering and Engineering Management (ISEEM). Prior to joining UAH, he was a postdoctoral researcher at the Innovation Factory and taught as a limited-term instructor in the College of Engineering at the University of Georgia from 2022 to 2024. During this time, he contributed to data analysis for assembly line research, secured industrial funding, and actively served at ASME IDETC conferences. Cheng Chen is a first-generation college student and member of Tri-Alpha. His diverse background enables him to promote educational access and opportunities for underrepresented students. With his unique perspective and dedication to making a difference, he is actively involved in promoting diversity and inclusion in Education 4.0. He is committed to using his education and skills to create a positive and inclusive environment in the local and university STEM community. Research Summary Our group is fascinated by implementing Large Language Models (LLMs) and digital threads to tackle the challenges of complex systems in design and manufacturing. We investigate how engineering changes spread across requirement management domains, emphasizing the importance of managing these changes to prevent failures in complex design systems. Our research aims to understand how different architecture of digital threads are built and controlled to trace design changes across various domains of the product lifecycle. Additionally, our manufacturing research interests span the area of predictive maintenance, synthetic data generation, and generative design. His applied research involves collaborating with experts from academia and industry on projects that use Industrial Internet of Things (IIoT) solutions when designing sustainable manufacturing processes to improve assembly efficiency. Lab Website Education Ph.D. in Mechanical Engineering, University of Georgia, 2022 M.Sc. in Aerospace Engineering, Florida Institute of Technology, 2016 B.S. in Mechanical Engineering, Century College of BUPT, 2012 Expertise Computational Design Smart Manufacturing Requirement Management Digital Thread Spray Optimization Engineering Education Recent Publications Advancing architectural frameworks for vibration signature classification in rotating machinery C Yorston, C Chen, J Camelio Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture A Network Interference Approach to Analyzing Change Propagation in Requirements PH Hein, E Kames, C Chen, B Morkos Journal of Computing and Information Science in Engineering 24 (6) Deep Neural Networks in Natural Language Processing for Classifying Requirements by Origin and Functionality: An Application of BERT in System Requirements J Mullis, C Chen, B Morkos, S Ferguson Journal of Mechanical Design 146 (4), 041401 Enhancing Manufacturing Operations with Synthetic Data: A Systematic Framework for Data Generation, Accuracy, and Utility V Buggineni, C Chen, J Camelio Frontiers in Manufacturing Technology 4, 1320166 Exploring topic modelling for generalising design requirements in complex design C Chen, B Morkos Journal of Engineering Design 34 (11), 922-940 From Text To Images: Linking System Requirements To Images Using Joint Embedding C Chen, C Carroll, B Morkos Proceedings of the Design Society 3, 1985-1994 Bridging the knowledge gap between design requirements and cad-a joint embedding approach C Chen, S Wei, B Morkos 2023 ASEE Annual Conference & Exposition Development of a Manufacturing Assessment Survey to Promote Entrepreneurial Mindset in Engineering F Mozaffar, C Chen, B Morkos, J Ma 2023 ASEE Annual Conference & Exposition Reasoning support for predicting requirement change volatility using complex network metrics PH Hein, E Kames, C Chen, B Morkos Journal of Engineering Design 33 (11), 811-837 Full List of Publications: Google Scholar