Zatar and Malik present at 12th International Workshop on Structural Health Monitoring

Marshall University’s Dr. Wael Zatar and Dr. Haroon Malik presented two papers at the 12th International Workshop on Structural Health Monitoring (IWSHM 2019) Sept. 10-12 at Stanford University in California. Zatar, dean of the College of Engineering and Computer Sciences, and Malik, assistant professor in the Weisberg Division of Computer Science, were among more than 400 experts from across the globe who attended the workshop.

"Marshall is fortunate to have Dr. Malik educating our computer science students," Zatar said.. "His work in the area of Industry Internet of Things has been very well received nationwide. We were able to implement his original work in several areas with the transportation infrastructure sector. Getting acceptance for our two papers and receiving requests to present them in Stanford University speaks volumes about the quality research Dr. Malik is producing."

With a theme of  "Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT)," the biennial workshop provided a venue that aimed to assess the state-of-the-art technologies in the field of structural health monitoring. It also provided participants the opportunity to discuss and identify key and emerging breakthroughs and challenges in research and development that are critical and unique in structural health monitoring. The workshop was also intended to promote communication exchange and cross-fertilization among multiple disciplines.

Zatar’s and Malik’s papers were titled "An IoT Enabled Framework to Support the Structural Health Monitoring Applications" and "Using Intelligent Software Agents to Monitor the Structural Health of Highway Bridges." Their presentations covered an open source Internet of Things (IoT)-based framework to support wireless structural health monitoring. Their proposed framework enables ubiquitous services and powerful processing of sensing data streams beyond the capability of traditional structural health monitoring systems. The framework requires little or no domain knowledge for its deployment and operations and supports inexpensive, yet very effective commercial-off-the-shelf  consumer products and open source-technologies.