MAUL-THEET will attend the IMAC XLIV in Palm Springs from January 19 to 22, 2026, including the pre-conference courses from January 17 to 18. As one of the most important conferences focused on structural dynamics and vibration measurement technology, IMAC is a must-attend event for us: developers, users, manufacturers, and research teams come together to discuss the latest methods, measurement technologies, and testing applications — complemented by a strong expo.
This year, the guiding theme “Digitizing our Reality” is particularly compelling for our industry and our customers: digital models are no longer expected to merely look good, but to model, visualize, predict, and be interactively usable — in other words, digital twins that must prove themselves in real-world conditions. This is exactly where many practical questions currently arise that are critical for test stands, validation, and product development: How can measurement data be robustly coupled with simulation? How can uncertainties be quantified? How reliable are predictions under variable boundary conditions and nonlinear behavior?
For MAUL-THEET, the following topics and focus areas are particularly relevant:
- Model Validation and Uncertainty Quantification: robust model fidelity, parameter identification, and probabilistic approaches — essential when measurement results and simulations are expected to truly support decision-making
- Data Science/ML in Engineering: data fusion, condition-based evaluation, and prognostics — wherever meaningful insights are to be derived from multiple data sources (sensors, DAQ, operation)
- Dynamic Environments and Durability Testing: realistic vibration profiles, MIMO and transient testing, and fixture design — classic territory for efficient and reproducible test systems
- Sensors and Instrumentation: new sensor technologies, wireless vibration sensors, and robust signal processing — relevant for monitoring, rapid setups, and scalable measurement campaigns
- Optical measurement methods: computer vision, DIC (Digital Image Correlation), and laser vibrometry — ideal when non-contact measurements, rapid full-field acquisition, or challenging geometries are involved
- Nonlinear Dynamics and Model Reduction: when friction interfaces, joints, contacts, or large amplitudes govern real-world behavior — and linear models alone are no longer sufficient
A key content highlight for us is the focus on probabilistic digital twins (keynote), which do not hide uncertainty but explicitly account for it — exactly what is needed to derive reliable conclusions for development and quality from measurement and simulation.
We use IMAC specifically to exchange ideas with partners, customers, and potential project teams, discuss new collaboration opportunities, and gain fresh impulses for measurement technology, vibration analysis, and testing applications. If you are also attending, feel free to reach out — we look forward to discussions about concrete system solutions, modern test setups, and everything that makes structural dynamics measurably better in practice.
RIVERA RESORT & SPA PALM SPRINGS
1600 North Indian Canyon Drive
Palm Springs, CA 92262
USA
Registration: dependend on the day
Exhibition: dependend on the day
Program Schedule
Monday, January 19
10:40 AM – 12:20 PM — 03. MIMO Techniques (Royal3)
• 10:40 AM – 11:00 AM A Brief History of Frame-Based MIMO Testing
• 11:00 AM – 11:20 AM A Pareto-optimal Approach to Selecting Target Cross-Spectra for Random Vibration Testing
• 11:20 AM – 11:40 AM Force Transducer Integration in a MIMO Test Frame and Potential Applications
• 11:40 AM – 12:00 PM Non-mass Loaded Excitation Technique for Precise Laser Measurements
10:40 AM – 12:20 PM — 04. Smart Dynamic Testing (El Dorado1)
• 10:40 AM – 11:00 AM Smart Dynamic Testing of Aero Engine Externals: Challenges and Directions
• 11:00 AM – 11:20 AM Application of the Impedance Matched Multi-Axis Testing Theme of Smart Dynamic Testing
• 11:20 AM – 11:40 AM A Recommended Procedure and Best Practices for MIMO Vibration Testing
10:40 AM – 12:20 PM — 05. Introduction to Model Validation and Uncertainty Quantification (El Dorado2)
• 10:40 AM – 11:20 AM Model Validation and Uncertainty Quantification: An Introductory Tutorial
• 11:20 AM – 11:40 AM Structural Identification and Bayesian Model Updating of a Five-Story Building in New Zealand
• 11:40 AM – 12:00 PM Toward Parsimony in Model Calibration: Trade-off between Goodness-of-Fit and Generalizability
1:50 PM – 3:30 PM — 12. Model Validation for Digital Twinning (El Dorado2)
• 1:50 PM – 2:10 PM Adaptive Reduced Order Model Selection in Engineering Decision Support
• 2:10 PM – 2:30 PM Online Input-State-Parameter Estimation for Civil Infrastructure
• 2:30 PM – 2:50 PM Intelligent Digital Twin Assembly Leveraging Bayesian Classification
• 2:50 PM – 3:10 PM Hierarchical Gaussian Process Modeling of Modal Quantities Residuals for Bayesian Updating of Structural Systems
• 3:10 PM – 3:30 PM Automated Correlation of Simulations and Experiments for Digital Twin Development
Tuesday, January 20
9:00 AM – 10:20 AM — 22. Modal Testing (Royal1)
• 9:00 AM – 9:20 AM Localized Coordinate System Optimization for Modal Pretest Analysis for Extreme Reduced Sensor Count
• 9:20 AM – 9:40 AM Modal Survey Testing Using Combined Acoustic and Conventional Excitation Techniques
• 9:40 AM – 10:00 AM Correlation & Orthogonality – What Do the Numbers Mean? – Use, Misuse and Confusion
• 10:00 AM – 10:20 AM Guided Analysis Tools for Highly Efficient Impact Testing and Modal Parameter Estimation
4:20 PM – 6:20 PM — 40. Uncertainty Quantification and Propagation in Structural Dynamics (El Dorado2)
• 4:20 PM – 4:40 PM Evolution of Modal Characteristics and Model Comparison for a 10-Story Cold-Formed Steel Framed Building under Seismic Excitation
• 4:40 PM – 5:00 PM Modal Identification of Rooftop Mechanical Equipment with Different Attachment Designs on a Full-Scale Ten-Story Shake Table-Tested Building
• 5:00 PM – 5:20 PM Exploring Variability of Modal Parameters of an Offshore Wind Turbine: Effect of Operating Conditions and System Identification Choices
• 5:20 PM – 5:40 PM System Identification of a 10-story Cold-Formed Steel Building: Systematic Study Considering Sensor Distribution and Changes in Ambient Conditions
Wednesday, January 21
9:00 AM – 10:40 AM — 45. Optical Systems for SHM, NDI, and Machine Learning (Royal3)
• 9:00 AM – 9:20 AM Interactive AI-based Framework for Automated Damage Augmentation on Limited SHM Datasets
• 9:20 AM – 9:40 AM Simple Equipment Location Inspection Methods Using Train Forward-View Images with a Smartphone Monocular Camera
• 9:40 AM – 10:00 AM Full-field ODS Magnification using a Convolutional Neural Network
• 10:00 AM – 10:20 AM Robust Crack Detetion on Pressed Panels via Unsupervised Deep Learning and Multi-Scale Edge Shape Analysis
• 10:20 AM – 10:40 AM Vision Based State Estimation of a Serial Manipulator
9:00 AM – 10:40 AM — 46. DET Experimental Techniques (El Dorado1)
• 9:00 AM – 9:20 AM Investigating Three-Axis Shock and Vibration with a “Supplemental Shaker” Frame
• 9:20 AM – 9:40 AM Combined Electromagnetic and Piezoelectric Shaker System for High Frequency Environment Testing
• 9:40 AM – 10:00 AM NASA Armstrong’s Thermal Vibration Test System (TVTS) Pathfinder Capability
• 10:00 AM – 10:20 AM Benefits of Measured Forces in a MIMO Test Frame on Model Validation
• 10:20 AM – 10:40 AM Structural Response Characterization Under Multi-Axis Excitation via Video Motion Magnification
9:00 AM – 10:40 AM — 47. Bayesian Methods (El Dorado2)
• 9:00 AM – 9:20 AM Uncertainty Quantification of Site Effects Models Using A Bayesian Framework with Experimental Data from Strong-Motion Stations in Japan
• 9:20 AM – 9:40 AM From Data to Decision: Evaluating the Dangers and Benefits of Reliance on a Flexible Discrepancy Term in Model Calibration
• 9:40 AM – 10:00 AM Accounting for Spatiotemporal Factors: Time-input State-aware Bayesian Calibration of Computer Models of Engineering Systems
• 10:00 AM – 10:20 AM Bayesian Finite Element Model Updating in the Modal Domain via Integration of Normalizing Flows with Markov Chain Monte Carlo
• 10:20 AM – 10:40 AM Structural Response Characterization Under Multi-Axis Excitation via Video Motion Magnification
3:50 PM – 5:30 PM — 65. Reduced Order Modeling and Substructuring (Royal2)
• 3:50 PM – 4:10 PM A Rubin-Based Reduced Order Model for Mistuned Bladed Disks: A Physically Interpretable and Experimentally Compatible Approach
• 4:10 PM – 4:30 PM Software Agnostic Hurty/Craig-Bampton Dynamic Model Reduction
3:50 PM – 5:30 PM — 66. DIC and Dynamics of Rotating Structures (Royal3)
• 3:50 – 4:10 PM Handling Large Rotational Motion with Optical-flow
• 4:10 PM – 4:30 PM Vibration Measurement of a Rotating Structure Using an Image-Based Tracking Continuously Scanning Laser Doppler Vibrometer with a Misalignment Angle
• 4:30 PM – 4:50 PM Optical Motion Magnification for Vibration-based Condition Monitoring of Hydroelectric Turbines
• 4:50 PM – 5:10 PM Modal Analysis of Rotating Blisks using Low-speed Digital Image Correlation
Thursday, January 22
11:10 AM – 12:50 PM — 80. Computer Vision (Royal3)
• 11:10 AM – 11:30 AM Camera-Based OMA and Modal Shapes Magnification: A Full-Field Approach Using Phase Information
• 11:30 AM – 11:50 AM A Brief Review of Computer Vision Technology in Pavement Management
• 11:50 AM – 12:10 PM Mode-Shape Identification of Representative Samples with Digital Image Correlation
• 12:10 PM – 12:30 PM Mapping the Nonlinear Vibration Responses of Composite Aerospace Structures during Endurance and Qualification Testing
• 12:30 PM – 12:50 PM Superpixel Virtual Sensor Grids for Vision-based Full-field Vibration Measurement
1:50 PM – 3:30 PM — 87. Laser Vibrometry and DIC Applications (Royal3)
• 1:50 PM – 2:10 PM Towards Differential Laser Doppler Vibrometer Measurements using Flyable Mirrors for the Vibration Assessment of Remote Structures
• 2:10 PM – 2:30 PM Multi Channel Laser Radar for Acousto-seimics
• 2:30 PM – 2:50 PM Optimization of Flatbed UV-Printed Digital Image Correlation Speckle Patterns for Microscale Strain Mapping
