Research
My research centers around enabling efficient and safe decision-making in complex (manufacturing) systems. These techniques are backed by rigorous methodologies and validated through real-world experiments as well as computer simulations. These technical areas connect both to fundamental principles and applications in a variety of domains. For specific examples spanning this exciting spectrum, please see the publications below.
Publications
Note: Undergraduate/high school student mentees underlined
You can also access the majority of my submitted and accepted papers on Google Scholar and ResearchGate.
M. Biehler, D. Lin, R. Mock, J. Shi (2024): 4DYNAMO: Analyzing and Optimizing Process Parameters in 4D Printing for Dynamic 3D Shape Morphing Accuracy, ASME Transactions, Journal of Manufacturing Science and Engineering (in-press)
🏆 Winner, Best Track Paper Award, Quality, Statistics & Reliability (QSR), INFORMS, 2024
M. Biehler, J.Li, J. Shi (2024): FUSION3D: Multimodal Data Fusion for 3D Shape Reconstruction - A Soft Sensing Approach, IISE Transactions (in-press)
🏆Finalist, Best Student Paper Award, Data Analytics and Information Systems (DAIS), IISE, 2023
M. Biehler, J. Shi (2024): RETROFIT: Real-time control of time-dependent 3D point cloud profiles, ASME Transactions, Journal of Manufacturing Science and Engineering
🏆Winner, Best Track Paper Award, Quality Control and Reliability Engineering (QCRE), IISE, 2024
M. Biehler, S. Kode , Y. Sun , J. Li, J. Shi (2023): “PLURAL: Point Cloud Transfer Learning via Contrastive Learning with Augmentations”, IEEE Transactions on Automation Science and Engineering
🏆 Finalist, Best Student Paper Award, Quality, Statistics & Reliability (QSR), INFORMS, 2023
D. Alenezi, M. Biehler, J. Li, J. Shi (2023): “Physics-informed Weakly-supervised Learning For Quality Prediction Of Manufacturing Processes”, IEEE Transactions on Automation Science and Engineering
M. Biehler, R. Mock ,S. Kode , M. Mehmood, P. Bhardwaj , J. Shi (2023): “AUDIT:Functional Qualification in Additive Manufacturing via Physical and Digital Twins” ASME Transactions, Journal of Manufacturing Science and Engineering
M. Biehler, D. Lin , J. Shi (2023): “DETONATE: Nonlinear Dynamic Evolution Modeling of Time-dependent 3-dimensional Point Cloud Profiles” IISE Transactions
🏆Winner, Best Student Paper Award, Quality Control and Reliability Engineering (QCRE), IISE, 2023
M. Biehler,Z. Zhong, J. Shi (2023): "SAGE: Stealthy Attack GEneration in Cyber-Physical Systems", IISE Transactions
🏆Educational Outreach Funding: MathWorks Microgrant and BOLD Fellowship
🏆Featured article recommended by the Editor to present in the "IISE Transaction, Data Science, Quality and Reliability" invited Session at INFORMS 2023.
M. Biehler, H. Yan, J. Shi (2023): "ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data”, IEEE Transactions on Automation Science and Engineering
🏆Finalist, Best Student Paper Award, Data Analytics and Information Systems (DAIS), IISE, 2022
S. Mou, M. Biehler,J. Hunt, X. Yue, J. Shi (2022): "SPAC: Sparse Sensor Placement Based Adaptive Control for High Precision Fuselage Assembly" IISE Transactions 55(11), 1133-1143
🏆Finalist, Best Student Paper Award, Data Analytics and Information Systems (DAIS), IISE, 2022
D. Gauder, M. Biehler, J. Gölz, V. Schulze, G. Lanza (2022): "In-process acoustic pore detection in milling using deep learning" CIRP Journal of Manufacturing Science and Technology 37, 125-133
D. Gauder, M. Biehler, B. Stampfer, B. Häfner, V. Schulze, G. Lanza, D. Böttger, B. Straß, B. Wolter (2021): "Uncertainty Quantification and Meta-Modeling of Surface Hardness in White Layers of Longitudinal Turned AISI4140 Surfaces”, tm Technisches Messen 88(11), 661-673
Gauder, J. Gölz, M. Biehler, M. Diener, G. Lanza (2021): "Balancing the Tradeoff between Measurement Uncertainty and Measurement Time in Optical Micro Gear Metrology using Design of Experiments, Meta-Modeling and Convex Programming", CIRP Journal of Manufacturing Science and Technology 35, 209-216
R. Wagner, B. Häfner, M. Biehler, G. Lanza (2020): "Digital DNA in quality control cycles of high-precision products", CIRP Annals 69(1), 373-376
D. Gauder, M. Biehler, B. Stampfer, B. Häfner, V. Schulze, G. Lanza, D. Böttger, B. Straß, B. Wolter (2020): "Development of a reference force model for soft sensor supported surface conditioning during longitudinal turning of AISI 4140", WT Werkstattstechnik
B. Häfner, M. Biehler, R. Wagner, G. Lanza (2018): "Meta-Model Based on Artificial Neural Networks for Tooth Root Stress Analysis of Micro-Gears", Procedia CIRP 75,155-160
B. Häfner, M. Biehler, G. Lanza (2017): "Function-Oriented Measurement and Uncertainty Quantification for the Lifetime Prognosis of Microgears", 8. Kolloquium Microproduction