Publication List

Selected publications and research outputs of ManuFuture Today related to smart manufacturing, industrial AI, machine monitoring, image processing, data commons, and engineering education.

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AI and IIoT for Machine Monitoring

Research on machine monitoring, low-cost sensing, manufacturing data integration, real-time visibility, and AI-enabled diagnostics for manufacturing systems.

Martin B.G. Jun, Yuseop Sim, Hojun Lee, Eunseob Kim, Ali Shakouri, “Acoustic Fingerprinting for Online Condition Monitoring in Progressive Stamping,” 14th International Conference on Technology of Plasticity (ICTP), 2026 Under Review [TBA]
Yuseop Sim, Eunseob Kim, Junho Sohn, Joe Barr, Hojun Lee, Bradford W. Beach, Martin B.G. Jun, Ali Shakouri, “Generative Latent Space Modeling of Stamping Sound For Anomaly Detection and Predictive Maintenance,” ASME 2026 21th International Manufacturing Science and Engineering Conference, 2026 Accepted [TBA]
Yuseop Sim, Eunseob Kim, Hojun Lee, Junho Sohn, Martin B.G. Jun, “Structured sound data augmentation based on spectral analysis for machine tool operational state monitoring,” The International Journal of Advanced Manufacturing Technology, 2025 [Link]
Ajanta Saha, Blessing Airehenbuwa, Jabir Bin Jahangir, Mandoye Ndoye, Firas Akasheh, Eunseob Kim, Ted Fiock, Zachary Van Meter, Muhammad A. Alam, Ali Shakouri, “Part Fingerprinting-Based Productivity Monitoring of CNC Machines with Low-Cost Current Sensors,” The International Journal of Advanced Manufacturing Technology, 2025 [Link]
Yuseop Sim, Eunseob Kim, Jiho Lee, Hojun Lee, Dongjun Yun, Nobin Myeong, Yunjae Hwang, Hyung Wook Park, Martin B.G. Jun, “Sound Data Augmentation Using Frequency Response Superposition for Machine Tool Component Running State Recognition,” ASME 2025 20th International Manufacturing Science and Engineering Conference, 2025 [Link]
Eunseob Kim, Yeeun Bae, Bradford W. Beach, Dave Roberts, Eric Kauffman, Ali Shakouri, “Real-Time Remote Monitoring of CNC Machine Tools via MTConnect and Part Detection Algorithm,” ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2025 [Link]
Nathon Tubbs, Diara Lawrence, Everett Mason, Jr., Eunseob Kim, Firas Akasheh, Mandoye Ndoye, Ali Shakouri, “Online and Real-Time 3D Printer Monitoring Using MTConnect Data Integration Towards Printing Error Diagnostics,” ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2025 [Link]
Mir imtiaz Mostafiz, Eunseob Kim, Adrian Shuai Li, Elisa Bertino, Martin B.G. Jun, Ali Shakouri, “Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data,” 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN), 2024 [Link]
Eunseob Kim, Thu Bui, Junyi Yuan, S. Chandra Mouli, Bruno Ribeiro, Raymond A. Yeh, Michael P. Fassnacht, Martin B.G. Jun, “Online real-time machining chatter sound detection using convolutional neural network by adopting expert knowledge,” Manufacturing Letters, 2024 [Link]
Eunseob Kim, Daeseong Mun, Martin B.G. Jun, Huitaek Yun, “Operation and Productivity Monitoring from Sound Signal of Legacy Pipe Bending Machine via Convolutional Neural Network (CNN),” International Journal of Precision Engineering and Manufacturing, 2024 [Link]
Adrian Shuai Li, Elisa Bertino, Rih-Teng Wu, Ting-Yan Wu, “Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation,” 2023 IEEE International Conference on Industrial Technology (ICIT), 2023 [Link]

Image Processing and Computer Vision

Research on image-based inspection, segmentation, quality analysis, and computer vision methods for manufacturing and material characterization applications.

Xiaoyu Ji, Ali Shakouri, Fengqing Zhu, “Instance camera focus prediction for crystal agglomeration classification,” Preprint in arXiv, 2026 [arXiv]
Xiaoyu Ji, Ali Shakouri, Fengqing Zhu, “Confidence-Aware Agglomeration Classification And Segmentation Of 2D Microscopic Food Crystal Images,” 2025 IEEE International Conference on Image Processing (ICIP), 2025 [Link]
Xiaoyu Ji, Jan P Allebach, Ali Shakouri, Fengqing Zhu, “Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control,” 2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP), 2024 [Link]

AI Ethics, Privacy, Trustworthy AI, Data Communities, and Benchmark Datasets

Research on privacy-preserving AI, trustworthy AI, data sharing frameworks, and collaborative data communities for industrial and societal applications.

Eunseob Kim, Yuseop Sim, Adrian Shuai Li, Mir Imtiaz Mostafiz, Zachary Van Meter, Martin Byung-Guk Jun, Elisa Bertino, Ali Shakouri, “Multi-sensor and MTConnect dataset of metal cutting anomaly in milling from laboratory and industry settings,” Scientific Data, 2026 Accepted [TBA]
Xiaoyu Ji, Jessica Shorland, Joshua Shank, Pascal Delpe-Brice, Latanya Sweeney, Jan Allebach, Ali Shakouri, “Empowering Manufacturers with Privacy-Preserving AI Tools: A Case Study in Privacy-Preserving Machine Learning to Solve Real-World Problems,” Preprint in arXiv, 2025 [arXiv]
Lucas Wiese, Indira Patil, Daniel S. Schiff, Alejandro J. Magana, “AI ethics education: A systematic literature review,” Computers and Education: Artificial Intelligence, 2025 [Link]
Lucas Wiese, Sonali Subbu Rathinam, Matthias Oschinski, Bryan DeWitt, Daniel S. Schiff, “AI Ethics and Governance in the Job Market: Trends, Skills, and Sectoral Demand,” IEEE Transactions on Technology and Society, 2025 [Link]
Latanya Sweeney, Leonie Beyrle Barker, and Joshua Shank, “Trustworthy AI Data Communities (AI-DCs) : Unlocking the benefits of AI for all, using U.S. manufacturing as a case study,” Technology Science, 2025 [Link]
Willy C. Shih, Ali Shakouri, “How Smaller Manufacturers Can Upgrade Their Tech,” Harvard Business Review, 2023 [Link]

Engineering Education and Workforce Development

Research on engineering education, experiential learning, workforce development, reskilling, upskilling, and AI-related curriculum and pedagogy.

Alejandra J. Magana, Eunseob Kim, Bradford B. Beach, Ali Shakouri, “Promoting Advanced Technology Adoption Among SMEs via A Cross-Industry Community of Practice,” Journal of the Knowledge Economy Under Review [TBA]
Lucas Wiese, Alejandra J. Magana, Khalil El Breidi, Ali Shakouri, “Manufacturing Stakeholders' Perceptions of Factors That Promote and Inhibit Advanced Technology Adoption,” Sustainability, 2025 [Link]
Lucas Wiese, Alejandra J. Magana, “A Department's Syllabi Review for LLM Considerations Prior to University-standard Guidance,” 2024 ASEE Annual Conference & Exposition, 2024 [Link]
Alejandra J. Magana, “Teaching and Learning in STEM With Computation, Modeling, and Simulation Practices,” Purdue University Press, 2024 [Link]
Lucas Wiese, Hector E. Will Pinto, Alejandra J. Magana, “Undergraduate and graduate students' conceptual understanding of model classification outcomes under the lens of scientific argumentation,” Computer Applications in Engineering Education, 2024 [Link]
Eunseob Kim, Lucas Wiese, Hector E. Will Pinto, Alejandra J. Magana, Martin B.G. Jun, “An Experiential Learning Approach to Industrial IoT Implementation of Smart Manufacturing through Coursework and University-Industry Partnerships,” Journal of Engineering Technology, 2023 [Link]
Ted J. Fiock, Jonathan Mohn, John Mack, Charilaos Mousoulis, Eunseob Kim, Lucas Wiese, Martin Jun, Alejandra J. Magana, Ali Shakouri, “Data Analytics Short Courses for Reskilling and Upskilling Indiana's Manufacturing Workforce,” 2023 ASEE Annual Conference & Exposition, 2023 [Link]
Eunseob Kim, Lucas Wiese, Hector E. Will Pinto, Alejandra J. Magana, Martin B.G. Jun, “Taking an Experiential Learning Approach to Industrial IoT Implementation for Smart Manufacturing through Course Work and University-Industry Partnerships,” 2023 ASEE Annual Conference & Exposition, 2023 [Link]
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