Mitchell, Steve

Department of Mechanical Engineering
2128 Martin Hall, University of Maryland, College Park, MD 20742
301-405-1624
301-314-9477
Research Interests 
Laser ranging and computer vision sensors, autonomous control and navigation
Background Info 

Education
Ph.D., Aerospace Engineering, University of Colorado at Boulder
M.S., Aerospace Engineering, University of Colorado at Boulder
B.S., Mechanical Engineering, University of Maryland at College Park
 
Steve Mitchell completed his Ph.D. in aerospace engineering at the University of Colorado, Boulder, in 2013.  His Ph.D. research focused on the design and implementation of polarization laser ranging sensors (lidars) to enable remote measurement of shallow media.  Steve specializes in remote sensing techniques employing engineering concepts to design, develop, and deploy lidar and computer vision sensors.  Steve brings experience in automotive, airborne, and spaceborne laser sensors to our programs.
 
Steve received a B.S. in mechanical engineering from the University of Maryland, College Park, in 2005.  After a 2-year stint at a small startup company, he began his graduate studies at CU Boulder.  During his graduate studies at Colorado, Steve was awarded a NASA Earth & Space Science Fellowship through which designed and patented a new lidar technique to enable remote measurement of shallow water depths.  Steve returned to the startup after completing his Ph.D, where he served as the Director of Mechanical Engineering while developing lidar sensors for various government, academic, and private entities.
 
Steve now serves as faculty in the Mechanical Engineering Department and is the proud recipient of the 2017 Purple Camshaft Award for impactful teaching.
 
Teaching  
 
Courses Developed
ENME489Y: Remote Sensing
Fundamentals of active and passive remote sensing technologies for autonomous navigation and terrain mapping.  Lidar, radar, and computer vision.  Semester project: design, integration, and deployment of lidar sensor using Raspberry Pi, OpenCV, and Python.
 
Courses Taught
ENME350: Electronics & Instrumentation I
ENME351: Electronics & Instrumentation II
ENME392: Statistical Methods for Product & Process Development
ENME462: Vibrations, Controls, & Optimization II