Anaheim Marriott
Anaheim, California, United States
26 - 30 April 2020
Conference SSN06
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
Monday - Wednesday 27 - 29 April 2020
This conference is no longer accepting submissions.
Late submissions may be considered subject to chair approval. For more information, please contact Megan Artz.
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Abstract Due:
16 October 2019

Author Notification:
20 December 2019

Manuscript Due Date:
1 April 2020

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Conference Chair
  • Haiying Huang, The Univ. of Texas at Arlington (United States)

Conference Co-Chairs
Program Committee
Program Committee continued...
  • Theodore E. Matikas, Univ. of Ioannina (Greece)
  • Norbert G. Meyendorf, Univ. of Dayton (United States)
  • Akira Mita, Keio Univ. (Japan)
  • Yiqing Ni, The Hong Kong Polytechnic Univ. (Hong Kong, China)
  • Hae Young Noh, Carnegie Mellon Univ. (United States)
  • Irving J. Oppenheim, Carnegie Mellon Univ. (United States)
  • Wieslaw M. Ostachowicz, The Szewalski Institute of Fluid-Flow Machinery (Poland)
  • Kara J. Peters, North Carolina State Univ. (United States)
  • Piervincenzo Rizzo, Univ. of Pittsburgh (United States)
  • Donghyeon Ryu, New Mexico Institute of Mining and Technology (United States)
  • Liming W. Salvino, Office of Naval Research Global (United States)
  • Fabio Semperlotti, Purdue Univ. (United States)
  • Wei Song, The Univ. of Alabama (United States)
  • Wieslaw J. Staszewski, AGH Univ. of Science and Technology (Poland)
  • Zhongqing Su, The Hong Kong Polytechnic Univ. (Hong Kong, China)
  • R. Andrew Swartz, Michigan Technological Univ. (United States)
  • Tyler N. Tallman, Purdue Univ. (United States)
  • Jiong Tang, Univ. of Connecticut (United States)
  • Marco Torbol, Ulsan National Institute of Science and Technology (Korea, Republic of)
  • Ming L. Wang, Northeastern Univ. (United States)
  • Xingwei Wang, Univ. of Massachusetts Lowell (United States)
  • Ya Wang, Texas A&M Univ. (United States)
  • Yang Wang, Georgia Institute of Technology (United States)
  • Rosalind M. Wynne, Villanova Univ. (United States)
  • Fuh-Gwo Yuan, North Carolina State Univ. (United States)

Call for
Advanced sensors, smart materials, and smart structures technology represent an emerging multidisciplinary field that has unlimited potential of broad engineering applications. This particular conference focuses on the new sensor technologies and phenomena that apply to the civil, mechanical, and aerospace engineering fields. To name a few, these applications include structural health monitoring (SHM), nondestructive evaluation (NDE), damage/deterioration assessment, security and emergency management, and asset management. The potential benefits of applying advanced sensors, smart materials, and smart structures technology to civil, mechanical and aerospace systems are many and they cover improved system reliability, enhanced system performance and functionality, enhanced security, decreased life cycle costs, and reduction of physical dimensions and weight.

Researchers in academia, government laboratories, and industry are making progress in advancing the state of the art of the sensor-based technologies addressed by this conference. This conference will provide a forum to bring together experts in the relevant but diverse fields to discuss recent advances and future challenges including international research collaboration.

Papers are solicited on new and emerging technologies in the following areas:

New Technological Advances
  • machine learning
  • human-centric sensing and control
  • low-cost smart materials
  • large-scale monitoring systems
  • multifunctional sensors sensor networks and autonomous operation
  • sensors for harsh and extreme environments
  • sensors using wireless systems
  • fiber optic sensing
  • photonic, phononic, and phoxonic crystal sensors
  • computer vision and image analysis techniques
  • active and semi-active control systems
  • wearable sensors for biomedical applications.
Bio-Inspired Sensing and Bio-inspired Actuation
  • functional mimicking of extreme species
  • organization and processing in bio-networks
  • biomolecular sensors and actuators
  • biologically mediated fabrication
  • bio-inspired smart sensor networks.
Modeling of Smart Materials and Sensor Performance
  • sensor integration with structure
  • sensor behavior
  • reliability investigations
  • smart material response under loads and strain.
Design Engineering and Implementation
  • design/characterization/creation of multifunctional sensory systems
  • smart components, devices, and sub-assemblies
  • novel materials for sensing, actuation, and design
  • smart systems for evaluation, detection, monitoring, and control
  • sensor standardization.
Integration of Smart Sensing Systems
  • vehicle health management
  • implementation of advanced technologies
  • big data and cloud-based analytic
  • cyberinfrastructure tools for data management and curation
  • integrated asset management
  • data-driven decision making
  • small-scale and large-scale demonstrations
  • smart infrastructure security.
Interrogation of Structures
  • aerospace structures, composites
  • geotechnical systems, mining/oil/gas exploration and production
  • ship and offshore structures
  • pipelines
  • civil engineering structures
  • monuments of cultural heritage
  • conventional, nuclear, and alternative energy systems
  • transportation systems and vehicles
  • chemical and biochemical systems.
Sensor Development and Applications

Special Session: Advances in Vision-based Structural Health Monitoring

It is generally accepted that artificial intelligence (AI) enabled computer vision will drive the next revolution in information modeling and decision making. Furthermore, due to the recent advances in sensors and computing technologies, the use of vision-based approaches provides an unprecedented opportunity to complement traditional structural health monitoring (SHM) and nondestructive evaluation (NDE) technologies, which will ultimately improve the resilience of structural systems. Moreover, vision methods are generally contactless and appropriate to be incorporated in mobile sensing robots such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), providing a transformative monitoring platform for civil structures. This mini-symposium will provide the opportunity to discuss recent theoretical, computational and experimental advances in using computer vision and machine learning approaches for structural identification, control, damage detection, and health monitoring. Topics relevant to this session include, but not limited to, deep learning, innovative imaging for structures, image/video data collection and analysis, damage detection, classification, convolutional neural networks, network pruning, quantification and localization, change recognition, displacement and dynamic measurements, sensor calibration, fusion and optimization, scene reconstruction, 3D LIDAR and depth sensors, activity monitoring, robotics integration, vision-based inspection using UAVs and UGVs, and other new emerging vision-based technologies.
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