DR. MARK HINDERS

Professor & Chair
Department of Applied Science
The College of William & Mary in Virginia
Williamsburg, VA 23187-8795
Voice: (757) 221-1519, Fax: (757) 221-7701
E-mail: my-last-name@as.wm.edu

Mark Hinders holds BS, MS and PhD in Aerospace and Mechanical Engineering from Boston University, and is currently Professor and Chair of Applied Science at the College of William & Mary in Virginia. Before coming to Williamsburg in 1993, Professor Hinders was Senior Scientist at Massachusetts Technological Laboratory, Inc., and also Research Assistant Professor at Boston University. Before that Dr. Hinders was an Electromagnetics Research Engineer at the USAF Rome Laboratory located at Hanscom AFB, MA. Professor Hinders conducts research in wave propagation and scattering phenomena, applied to medical imaging, intelligent robotics, security screening, remote sensing and nondestructive evaluation. He and his students study the interaction of acoustic, ultrasonic, elastic, thermal, electromagnetic and optical waves with materials, tissues and structures. A Youtube video of Prof. Hinders in the NDE Lab is here and the NDE Lab Facebook group is here. If you prefer Linkedin, Prof. Hinders can be found here.

 

In Prof. Hinders’ research group the term nondestructive evaluation is taken to mean many seemingly different things:

 

       Medical Diagnostics: Ultrasound images, mammograms, etc. are two-dimensional “cuts” of three-dimensional anatomy. Doctors are expert at interpreting them, but the diagnosis is still quite subjective.

 

       Structural Flaw Detection: Technicians are not as highly trained at diagnosis, plus there is no standard “anatomy” and the structure can’t tell where it hurts. There’s also the morning after bowling night!

 

       On-line Inspection: Engineers don’t want to interpret images.  They want the instrumentation to give a green light if the process is OK, and a red light if it’s out of spec.  

 

       Intelligent Robotics: The key to useful robots is a combination of imaging sensors and the on-board intelligence to interpret them. Want to tell the robot to turn left at the big tree, not feed it GPS coordinates. 

 

The focus of our work is to implement new and better measurements with both novel instrumentation and artificial intelligence that automates the interpretation of the various (and multiple) imaging data streams. Each student’s research typically has application to several seemingly quite different areas, in order to gain meaningful experience in multiple industries. Our graduates have gone on to work in a wide variety of jobs, and many of our current research projects are being done in close collaboration with our former students: