Prof. Christopher Niezrecki Profile

Prof. Christopher Niezrecki

Professor at Univ of Massachusetts Lowell

SPIE Involvement:

Conference Chair | Conference Program Committee | Editor | Author

Publications (36)

Proceedings Article | 25 April 2023 Presentation + Paper

Application of mask RCNN for localizing and quantifying areas of energy leak in buildings using infrared images

Shweta Dabetwar, Christopher Niezrecki, Alessandro Sabato

Proceedings Volume 12488, 1248812 (2023) https://doi.org/10.1117/12.2655785

KEYWORDS: Infrared imaging, Thermography, Object detection, Buildings, Infrared cameras, Infrared radiation, Image processing, Detection and tracking algorithms, Deep learning, Automatic target recognition

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Proceedings Article | 25 April 2023 Presentation + Paper

Sensor-aided camera calibration for three dimensional digital image correlation measurements

Fabio Bottalico, Nicholas Valente, Christopher Niezrecki, Kshitij Jerath, Yan Luo, Alessandro Sabato

Proceedings Volume 12488, 1248817 (2023) https://doi.org/10.1117/12.2657163

KEYWORDS: Calibration, Cameras, 3D image processing, Sensors, Sensor calibration, Digital image correlation, 3D metrology, Imaging systems, Prototyping, Structural health monitoring

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Proceedings Article | 19 April 2022 Presentation + Paper

A sensor-based calibration system for three-dimensional digital image correlation

Fabio Bottalico, Nicholas Valente, Shweta Dabetwar, Kshitij Jerath, Yan Luo, Christopher Niezrecki, Alessandro Sabato

Proceedings Volume 12048, 120480Z (2022) https://doi.org/10.1117/12.2612106

KEYWORDS: Cameras, Calibration, Sensors, Gyroscopes, Sensor calibration, Imaging systems, Digital image correlation, 3D image processing, Structural health monitoring, Monte Carlo methods

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Proceedings Article | 22 April 2020 Presentation + Paper

Combined infrared imaging and structure from motion approach for building thermal energy efficiency and damage assessment

Alessandro Sabato, Marco Puliti, Christopher Niezrecki

Proceedings Volume 11381, 1138125 (2020) https://doi.org/10.1117/12.2558796

KEYWORDS: 3D modeling, Thermography, Thermal modeling, Cameras, 3D image processing, Clouds, Infrared imaging, Infrared cameras, 3D image reconstruction

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Proceedings Article | 1 April 2019 Presentation + Paper

Development of an IMU-radar sensor board for three-dimensional digital image correlation camera triangulation

Alessandro Sabato, Christopher Niezrecki

Proceedings Volume 10972, 109721V (2019) https://doi.org/10.1117/12.2515081

KEYWORDS: Cameras, Calibration, Sensors, Digital image correlation, Photogrammetry, Imaging systems, Radar, 3D image processing, Structural health monitoring, Digital cameras

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Proceedings Article | 18 March 2019 Paper

Use of infrared imaging for structure from motion assessment of heat loss in buildings

Alessandro Sabato, Christopher Niezrecki

Proceedings Volume 10973, 109730O (2019) https://doi.org/10.1117/12.2515077

KEYWORDS: Buildings, 3D modeling, Thermography, Cameras, 3D image processing, Atomic force microscopy, Thermal modeling, Inspection, Clouds, Infrared imaging

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Proceedings Article | 27 March 2018 Presentation + Paper

A novel camera localization system for extending three-dimensional digital image correlation

Alessandro Sabato, Narasimha Reddy, Sameer Khan, Christopher Niezrecki

Proceedings Volume 10599, 105990Y (2018) https://doi.org/10.1117/12.2296809

KEYWORDS: Calibration, Cameras, Sensors, Radar, Imaging systems, Digital image correlation, Distance measurement, 3D image processing, Structural health monitoring, Photogrammetry

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Proceedings Article | 27 March 2018 Paper

Applying video magnification for vision-based operating deflection shape evaluation on a wind turbine blade cross-section

Aral Sarrafi, Peyman Poozesh, Christopher Niezrecki, Zhu Mao

Proceedings Volume 10600, 106000M (2018) https://doi.org/10.1117/12.2296688

KEYWORDS: Motion estimation, Video, Wind turbine technology, Wavelets, Structural dynamics, Cameras, Signal to noise ratio, High speed cameras, Machine vision, Computer vision technology, Motion measurement, Modal analysis

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Proceedings Article | 19 April 2017 Paper

Mode extraction on wind turbine blades via phase-based video motion estimation

Aral Sarrafi, Peyman Poozesh, Christopher Niezrecki, Zhu Mao

Proceedings Volume 10171, 101710E (2017) https://doi.org/10.1117/12.2260406

KEYWORDS: Motion estimation, Wind energy, Structural dynamics, Image processing, Video processing, Modal analysis, Motion measurement, Motion models, Wind turbine technology, Image filtering, Digital image correlation, Cameras

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Proceedings Article | 19 April 2017 Paper

Unmanned aerial vehicle acquisition of three-dimensional digital image correlation measurements for structural health monitoring of bridges

Daniel Reagan, Alessandro Sabato, Christopher Niezrecki

Proceedings Volume 10169, 1016909 (2017) https://doi.org/10.1117/12.2259985

KEYWORDS: Cameras, 3D acquisition, Digital image correlation, 3D metrology, Unmanned aerial vehicles, Bridges, 3D image processing, Structural health monitoring, Inspection, Photogrammetry, Civil engineering, 3D modeling

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Proceedings Article | 19 April 2017 Presentation + Paper

A novel optical investigation technique for railroad track inspection and assessment

Alessandro Sabato, Christopher Beale, Christopher Niezrecki

Proceedings Volume 10169, 101692C (2017) https://doi.org/10.1117/12.2257831

KEYWORDS: 3D modeling, Structural health monitoring, Digital image correlation, Cameras, 3D metrology, 3D image processing, Optical tracking, Inspection, Imaging systems, Safety

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Proceedings Article | 22 April 2016 Paper

An autonomous unmanned aerial vehicle sensing system for structural health monitoring of bridges

Daniel Reagan, Alessandro Sabato, Christopher Niezrecki, Tzuyang Yu, Richard Wilson

Proceedings Volume 9804, 980414 (2016) https://doi.org/10.1117/12.2218370

KEYWORDS: Unmanned aerial vehicles, Digital image correlation, Bridges, Inspection, Structural health monitoring, 3D metrology, 3D image processing, Position sensing equipment, Sensing systems, Photogrammetry, Cameras, Calibration

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Proceedings Article | 1 April 2016 Paper

Terahertz ISAR and x-ray imaging of wind turbine blade structures

Robert Martin, Christopher Baird, Robert Giles, Christopher Niezrecki

Proceedings Volume 9806, 98060I (2016) https://doi.org/10.1117/12.2218616

KEYWORDS: Nondestructive evaluation, Radar, X-rays, X-ray imaging, Manufacturing, Polarimetry, Defect detection, Composites, Synthetic aperture radar, Wind turbine technology, Terahertz radiation, Polarization, Photography, Scattering

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Proceedings Article | 1 April 2015 Paper

An acoustic-array based structural health monitoring technique for wind turbine blades

Kai Aizawa, Peyman Poozesh, Christopher Niezrecki, Javad Baqersad, Murat Inalpolat, Gunnar Heilmann

Proceedings Volume 9437, 94371P (2015) https://doi.org/10.1117/12.2084276

KEYWORDS: Scanning probe lithography, Acoustics, Composites, Point spread functions, Spatial resolution, Signal processing, Tolerancing, Phased arrays, Structural health monitoring, Wind turbine technology

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Proceedings Article | 1 April 2015 Paper

Extracting full-field dynamic strain response of a rotating wind turbine using photogrammetry

Javad Baqersad, Peyman Poozesh, Christopher Niezrecki, Peter Avitabile

Proceedings Volume 9437, 94371O (2015) https://doi.org/10.1117/12.2084633

KEYWORDS: Sensors, Finite element methods, 3D acquisition, Cameras, Calibration, Photogrammetry, Matrices, Digital image correlation, Detection and tracking algorithms, Wind turbine technology

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Proceedings Article | 8 March 2014 Paper

Predicting full-field dynamic strain on a three-bladed wind turbine using three dimensional point tracking and expansion techniques

Javad Baqersad, Christopher Niezrecki, Peter Avitabile

Proceedings Volume 9061, 90612P (2014) https://doi.org/10.1117/12.2046106

KEYWORDS: Cameras, Sensors, Data modeling, Photogrammetry, Finite element methods, Optical testing, Matrices, Calibration, 3D metrology, Wind turbine technology

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Proceedings Article | 17 April 2013 Paper

Structural health monitoring of bridges using digital image correlation

Christopher Nonis, Christopher Niezrecki, Tzu-Yang Yu, Shafique Ahmed, Che-Fu Su, Tim Schmidt

Proceedings Volume 8695, 869507 (2013) https://doi.org/10.1117/12.2009647

KEYWORDS: Digital image correlation, Bridges, Cameras, Sensors, Structural health monitoring, 3D image processing, Optical inspection, Photography, Inspection, 3D image enhancement

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Proceedings Article | 20 April 2012 Paper

Dynamic characteristics of a wind turbine blade using 3D digital image correlation

Javad Baqersad, Jennifer Carr, Troy Lundstrom, Christopher Niezrecki, Peter Avitabile, Micheal Slattery

Proceedings Volume 8348, 83482I (2012) https://doi.org/10.1117/12.915377

KEYWORDS: Digital image correlation, Finite element methods, Cameras, 3D metrology, 3D acquisition, Motion measurement, 3D image processing, Modal analysis, Calibration, Wind turbine technology

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Proceedings Article | 3 April 2012 Paper

Sensing of electrically conductive textiles and capacitance sensor-embedded fabrics for parachutes

Mark Damplo, Christopher Niezrecki, David Willis, Julie Chen, Eugene Niemi, Srikanthrao Agnihotra, Sanjeev Manohar, Kenneth Desabrais, Christine Charette

Proceedings Volume 8345, 83452T (2012) https://doi.org/10.1117/12.915342

KEYWORDS: Resistance, Sensors, Digital image correlation, Capacitance, Silver, Wheatstone bridges, Dielectrics, Coating, Intelligent sensors, Power supplies

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Proceedings Article | 3 June 2011 Paper

Study of blast event propagation in different media using a novel ultrafast miniature optical pressure sensor

Xiaotian Zou, Nan Wu, Ye Tian, Hongtao Zhang, Christopher Niezrecki, Xingwei Wang

Proceedings Volume 8028, 802809 (2011) https://doi.org/10.1117/12.887225

KEYWORDS: Sensors, Wave propagation, Traumatic brain injury, Optical fibers, Silica, Acoustics, Ultrafast phenomena, Fiber optics sensors, Sensor performance, Multimode fibers

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Proceedings Article | 17 May 2011 Paper

Ultra fast all-optical fiber pressure sensor for blast event evaluation

Nan Wu, Wenhui Wang, Ye Tian, Christopher Niezrecki, Xingwei Wang

Proceedings Volume 7753, 77535J (2011) https://doi.org/10.1117/12.885104

KEYWORDS: Sensors, Fiber optics sensors, Optical fibers, Traumatic brain injury, Silica, Multimode fibers, Ultrafast phenomena, Fabry–Perot interferometers, Silicon, Data processing

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Proceedings Article | 16 May 2011 Paper

A miniature pressure sensor for blast event evaluation

Nan Wu, Wenhui Wang, Ye Tian, Christopher Niezrecki, Xingwei Wang

Proceedings Volume 8029, 80290V (2011) https://doi.org/10.1117/12.884278

KEYWORDS: Sensors, Fiber optics sensors, Silicon, Fiber optics, Traumatic brain injury, Polishing, Microelectromechanical systems, Wave propagation, Fabry–Perot interferometers, Interfaces

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Proceedings Article | 29 April 2011 Paper

Full-field inspection of a wind turbine blade using three-dimensional digital image correlation

Bruce LeBlanc, Christopher Niezrecki, Peter Avitabile, Julie Chen, James Sherwood, Scott Hughes

Proceedings Volume 7979, 79790L (2011) https://doi.org/10.1117/12.879930

KEYWORDS: Digital image correlation, 3D image processing, Cameras, Inspection, Manufacturing, Composites, 3D metrology, Structural health monitoring, Nondestructive evaluation, Wind turbine technology

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Increasing demand and deployment of wind power has led to a significant increase in the number of wind-turbine blades manufactured globally. As the physical size and number of turbines deployed grows, the probability of manufacturing defects being present in composite turbine blade fleets also increases. As both capital blade costs, and operational and maintenance costs, increase for larger turbine systems the need for large-scale inspection and monitoring of the state of structural health of turbine blades during manufacturing and operation critically increase. One method for locating and quantifying manufacturing defects, while also allowing for the in-situ measurement of the structural health of blades, is through the observation of the full-field state of deformation and strain of the blade. Static tests were performed on a nine-meter CX-100 composite turbine blade to extract full-field displacement and strain measurements using threedimensional digital image correlation (3D DIC). Measurements were taken at several angles near the blade root, including along the high-pressure surface, low-pressure surface, and along the trailing edge of the blade. The overall results indicate that the measurement approach can clearly identify failure locations and discontinuities in the blade curvature under load. Post-processing of the data using a stitching technique enables the shape and curvature of the entire blade to be observed for a large-scale wind turbine blade for the first time. The experiment demonstrates the feasibility of the approach and reveals that the technique readily can be scaled up to accommodate utility-scale blades. As long as a trackable pattern is applied to the surface of the blade, measurements can be made in-situ when a blade is on a manufacturing floor, installed in a test fixture, or installed on a rotating turbine. The results demonstrate the great potential of the optical measurement technique and its capability for use in the wind industry for large-area inspection.

Proceedings Article | 14 April 2011 Paper

Sensing performance of electrically conductive fabrics and dielectric electro-active polymers for parachutes

Eric Favini, Christopher Niezrecki, Sanjeev Manohar, David Willis, Julie Chen, Eugene Niemi, Kenneth Desabrais, Christine Charette

Proceedings Volume 7981, 798132 (2011) https://doi.org/10.1117/12.880450

KEYWORDS: Resistance, Coating, Carbon nanotubes, Sensors, Digital image correlation, Conductive coatings, Capacitance, Dielectrics, Wheatstone bridges, Polymers

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Proceedings Article | 20 April 2010 Paper

Dynamic test of an acoustic/pressure sensor with precise cavity length control

Wenhui Wang, Nan Wu, Ye Tian, Charles Guthy, Xingwei Wang, Christopher Niezrecki

Proceedings Volume 7677, 76770W (2010) https://doi.org/10.1117/12.852614

KEYWORDS: Sensors, Fiber optics sensors, Silicon, Optical sensors, Laser sources, Interferometers, Microelectromechanical systems, Sensor performance, Sensor calibration, Calibration

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Proceedings Article | 12 April 2010 Paper

Review of smart material technologies for active parachute applications

Eric Favini, Christopher Niezrecki, Julie Chen, David Willis, Eugene Niemi, Kenneth Desabrais

Proceedings Volume 7643, 76431O (2010) https://doi.org/10.1117/12.847620

KEYWORDS: Dielectrics, Shape memory alloys, Actuators, Sensors, Smart materials, Polymers, Fiber optics, Shape memory polymers, Electroactive polymers, Electrodes

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Proceedings Article | 9 April 2010 Paper

Structural health monitoring of helicopter hard landing using 3D digital image correlation

Bruce LeBlanc, Christopher Niezrecki, Peter Avitabile

Proceedings Volume 7650, 76501V (2010) https://doi.org/10.1117/12.847318

KEYWORDS: Digital image correlation, Structural health monitoring, 3D image processing, Cameras, Sensors, Calibration, Photogrammetry, Fiber optics sensors, 3D acquisition, 3D metrology

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Proceedings Article | 8 April 2009 Paper

Curvature methods of damage detection using digital image correlation

Mark Helfrick, Christopher Niezrecki, Peter Avitabile

Proceedings Volume 7295, 72950D (2009) https://doi.org/10.1117/12.815511

KEYWORDS: Damage detection, Digital image correlation, 3D image processing, 3D metrology, Aluminum, Finite element methods, Data modeling, Model-based design, Systems modeling, Global system for mobile communications

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Proceedings Article | 18 April 2007 Paper

High-strain and deformation measurements using imaging and smart material sensors

Amanda Carney, Christopher Niezrecki, Paulin Buaka, Julie Chen, Eugene Niemi

Proceedings Volume 6529, 652933 (2007) https://doi.org/10.1117/12.715181

KEYWORDS: Sensors, Metals, Aluminum, Resistance, Cameras, Calibration, Optical testing, Smart materials, Data acquisition, Signal processing

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Proceedings Article | 27 March 2006 Paper

Six DOF vibration control using magnetorheological technology

Memet Unsal, Christopher Niezrecki, Carl Crane

Proceedings Volume 6166, 61661F (2006) https://doi.org/10.1117/12.657925

KEYWORDS: Control systems, Magnetism, Vibration control, Actuators, Simulink, Polonium, Vibration isolation, Connectors, Sensors, Performance modeling

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Proceedings Article | 16 May 2005 Paper

Averaging analysis of state-switched piezoelectric structural systems

A. Kurdila, G. Lesieutre, X. Zhang, C. Prazenica, C. Niezrecki

Proceedings Volume 5760, (2005) https://doi.org/10.1117/12.605488

KEYWORDS: Calcium, Switching, Switches, Cesium, Capacitance, Actuators, Power supplies, Circuit switching, Control systems, Signal attenuation

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Proceedings Article | 29 July 2004 Paper

Diagnosis of moisture damage in asphalt pavements

Jacqueline Canning, Christopher Niezrecki, Bjorn Birgisson

Proceedings Volume 5391, (2004) https://doi.org/10.1117/12.539866

KEYWORDS: Nondestructive evaluation, Sensors, Water, Phase measurement, Reliability, Aluminum, Aerospace engineering, Resistance, Visualization, Spectrum analysis

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Proceedings Article | 31 July 2003 Paper

A new semi-active piezoelectric-based friction damper

Memet Unsal, Christopher Niezrecki, Carl Crane

Proceedings Volume 5052, (2003) https://doi.org/10.1117/12.483771

KEYWORDS: Actuators, Optical isolators, Transducers, Vibration isolation, Vibration control, Amplifiers, Aerospace engineering, Structural dynamics, Space operations, 3D modeling

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Proceedings Article | 22 July 2003 Paper

Piezoelectric-based fluid bulk modulus and diagnostic sensor

Karthik Balasubramanian, Christopher Niezrecki, John Schueller

Proceedings Volume 5050, (2003) https://doi.org/10.1117/12.484241

KEYWORDS: Actuators, Fluid dynamics, Ferroelectric materials, Sensors, Diagnostics, Sensing systems, Liquids, Mathematical modeling, Aerospace engineering, Systems modeling

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Proceedings Article | 16 August 2001 Paper

Power characterization of THUNDER actuators as underwater propulsors

Christopher Niezrecki, Sivakumar Balakrishnan

Proceedings Volume 4327, (2001) https://doi.org/10.1117/12.436520

KEYWORDS: Actuators, Smart materials, Amplifiers, Robotics, Shape memory alloys, Capacitors, Resistance, Active vibration control, Manufacturing, Adhesives

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Proceedings Article | 12 June 2000 Paper

Feasibility of using piezoelectric actuators to control launch vehicle acoustics and structural vibrations

Christopher Niezrecki, Harley Cudney

Proceedings Volume 3991, (2000) https://doi.org/10.1117/12.388156

KEYWORDS: Acoustics, Actuators, Ferroelectric materials, Scanning probe lithography, Composites, Amplifiers, Silver, Information operations, Silicon, Vibration control

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Future launch vehicle payload fairings will be manufactured form advanced lightweight composite materials. The loss of distributed mass causes a significant increase in the internal acoustic environment, causing a severe threat to the payload. Using piezoelectric actuators to control the fairing vibration and the internal acoustic environment has been proposed. To help determine the acoustic control authority of piezoelectric actuators mounted on a rocket fairing, the internal acoustic response created by the actuators needs to be determined. In this work, the internal acoustic response of a closed simply-supported (SS) cylinder actuated by piezoelectric (PZT) actuators is determined using a n impedance model for the actuator and boundary element analysis. The experimentally validated model is used to extrapolate results for a SS cylinder that emulates a Minotaur payload fairing. The internal cylinder acoustic levels are investigated for PZT actuation between 35 and 400 Hz. Significant reductions in the structural response due to increased damping do not equate to similar reductions in the acoustic SPLs for the cylinder. The sound levels at the acoustic resonant frequencies are essentially unaffected by the significant increase in structural damping while the acoustic level sat the structural resonant frequencies are mildly reduced. The interior acoustic response of the cylinder is dominated by the acoustic modes and therefore significant reductions in the overall interior acoustic levels will not be achieved if only the structural resonances are controlled. As the actuation frequency is reduced, the number of actuators required to generate acoustic levels commensurate to that found in the fairing increases to impractical values. Below approximately 100 Hz, the current demands reach levels that are extremely difficult to achieve with a practical system. The results of this work imply that PZT actuators do not have the authority to control the payload fairing internal acoustics below approximately 100 Hz.

Showing 5 of 36 publications

Proceedings Volume Editor (5)

SPIE Conference Volume | 24 May 2023

NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE

SPIE Conference Volume | 28 April 2022

NDE 4.0, Predictive Maintenance, and Communication and Energy Systems in a Globally Networked World

SPIE Conference Volume | 29 April 2021

NDE 4.0 and Smart Structures for Industry, Smart Cities, Communication, and Energy

SPIE Conference Volume | 9 July 2019

Smart Structures and NDE for Energy Systems and Industry 4.0

SPIE Conference Volume | 25 June 2018

Smart Materials and Nondestructive Evaluation for Energy Systems IV

Conference Committee Involvement (32)

Health Monitoring of Structural and Biological Systems XVIII

25 March 2024 | Long Beach, California, United States

NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE II

25 March 2024 | Long Beach, California, United States

NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE

14 March 2023 | Long Beach, California, United States

Health Monitoring of Structural and Biological Systems XVII

13 March 2023 | Long Beach, California, United States

NDE 4.0, Predictive Maintenance, and Communication and Energy Systems in a Globally Networked World

8 March 2022 | Long Beach, California, United States

Health Monitoring of Structural and Biological Systems XVI

7 March 2022 | Long Beach, California, United States

Health Monitoring of Structural and Biological Systems XV

8 March 2021 | Online Only, California, United States

NDE 4.0 and Smart Structures for Industry, Smart Cities, Communication, and Energy

8 March 2021 | Online Only, California, United States

Health Monitoring of Structural and Biological Systems XIV

27 April 2020 | Online Only, California, United States

Smart Structures and NDE for Industry 4.0, Smart Cities, and Energy Systems

27 April 2020 | Online Only, California, United States

Health Monitoring of Structural and Biological Systems XIII

4 March 2019 | Denver, Colorado, United States

Smart Structures and NDE for Energy Systems and Industry 4.0

4 March 2019 | Denver, Colorado, United States

Health Monitoring of Structural and Biological Systems XII

5 March 2018 | Denver, Colorado, United States

Smart Materials and Nondestructive Evaluation for Energy Systems IV

5 March 2018 | Denver, Colorado, United States

Smart Structures and NDE for Industry 4.0

5 March 2018 | Denver, Colorado, United States

Health Monitoring of Structural and Biological Systems XI

26 March 2017 | Portland, Oregon, United States

Industrial and Commercial Applications of Smart Structures Technologies XI

26 March 2017 | Portland, Oregon, United States

Health Monitoring of Structural and Biological Systems X

21 March 2016 | Las Vegas, Nevada, United States

Industrial and Commercial Applications of Smart Structures Technologies X

21 March 2016 | Las Vegas, Nevada, United States

Health Monitoring of Structural and Biological Systems IX

9 March 2015 | San Diego, California, United States

Industrial and Commercial Applications of Smart Structures Technologies IX

9 March 2015 | San Diego, California, United States

Industrial and Commercial Applications of Smart Structures Technologies VIII

11 March 2014 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VIII

10 March 2014 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VII

11 March 2013 | San Diego, California, United States

Industrial and Commercial Applications of Smart Structures Technologies VII

10 March 2013 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VI

12 March 2012 | San Diego, California, United States

Industrial and Commercial Applications of Smart Structures Technologies VI

12 March 2012 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems V

7 March 2011 | San Diego, California, United States

Industrial and Commercial Applications of Smart Structures Technologies V

7 March 2011 | San Diego, California, United States

Smart Structures and Integrated Systems

27 February 2006 | San Diego, California, United States

Smart Structures and Integrated Systems

7 March 2005 | San Diego, California, United States

Smart Structures and Integrated Systems

15 March 2004 | San Diego, CA, United States

Showing 5 of 32 Conference Committees

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