Steven Mitchell Email & Phone Number

Washington, Dc, Us

Recipient of the 2017 Purple Camshaft Faculty Award for excellence in teachingRecipient of the 2019 Most Valuable Professor Award Adjunct faculty, Maryland Robotics Center: robotics.umd.eduFaculty advisor, Robotics @ Maryland robotics-at-maryland.pages.umd.eduCourses taught: ENME 350: Electronics & Instrumentation I: analog circuit design, signal conditioning, instrumentation interfacing. ENME 351: Electronics & Instrumentation II: mechatronics and digital circuit design. Digital data acquisition and control, signal conditioning, instrumentation sensing and actuation. ENME 392: Statistical Methods for Product & Process Development: integrated statistical methodology for the improvement of products and engineering processes. Probability, random variables, probability distribution functions, confidence intervals, hypothesis testing, regression, ANOVA, design of experiments. ENME 462: Automatic Control Theory: analysis and design in time, Laplace and frequency domains. Mathematical description of system transient response, steady-state error, and stability. Design via root locus, open-/closed-loop control, and methods of optimization. Control system design using MATLAB and Python. ENME 489Y: Remote Sensing: fundamentals of active and passive remote sensing technologies for autonomous navigation and terrain mapping. Fundamentals of lidar, radar, and computer vision. Design, integration, and deployment of lidar sensor using Raspberry Pi, OpenCV, and Python / C++. Hands-on experiences with COTS lidar systems such as Velodyne VLP-16. Created course in 2017. ENPM 809T: Autonomous Robotics: principles of robotic autonomy including modeling and controls, perception, localization and SLAM, planning, and decision making. Techniques are applied through completion of a semester-long hands-on project employing the course material, ground-based mobile robots, and Python with OpenCV. Created course in 2019.

Courses taught: ENME 304: Machine Design: design of machine components via flipped classroom. Emphasis on kinematics, working stresses, repeated loadings, fatigue and heating effects. Semester project: design, integration, and test of UAV launcher. Solid model design in CREO.ENME 403: Automatic Control Theory: analysis and design in time, Laplace and frequency domains. Mathematical description of system transient response, steady-state error, and stability. Design via root locus, open-/closed-loop control, and methods of optimization. Control system design using MATLAB. ENME 489: Aerospace Propulsion: principles of fluid mechanics and thermodynamics applied to derive thrust, power, and efficiencies of propulsion systems. Cycle analysis of air-breathing engines: ramjets, turbojets, turbofans, turboprops; of rocket engines: solid, liquid, and hybrid motors. Created course in 2015.

Led mechanical engineering and fabrication team comprised of 15 engineering and manufacturing personnel at innovative lidar instrumentation company. Generated and maintained schedules, conducted brainstorming sessions and design reviews.Contributed to numerous internal and external proposals.Developed and delivered four-part seminar series "Lidar 101" open to all company employees.Keen eye for company growth. Mentor to 8 undergraduate mechanical engineering student interns during tenure, four of whom were hired into department full-time upon graduation.

Technical lead in development of airborne laser sensors for topographical/bathymetric mapping and remote measurement of clouds, aerosols, and wind velocities. Expertise in photon-counting and digitizing laser altimeter architectures.Specialized in sensors designed to operate in harsh environments including terrestrial, high-altitude, and space. Recipient of the 2014 Sigma Space Corporation Outstanding Achievement Award Managed conceptual and final designs of sensors using ProE Wildfire and CREO design tools. Extensive/unique field experience, including deployments of lidar sensors onboard U-2 and Global Hawk UAV high-altitude platforms. Extensive experience designing for and operating in aerospace, safety-critical environments.

Designed, integrated, and tested lidar sensors for ground and aerospace applications.Mechanical design of system-level and component-level designs in ProE Wildfire.Routine experience with basic machine shop tools (hand tools, mills, lathes)Field deployment to Darwin, Australia, to install atmospheric lidar sensor and train members of the Australian Bureau of Meteorology.

Doctor Of Philosophy (Ph.D.), Aerospace, Aeronautical And Astronautical Engineering

Remote Sensing focus: lidar bathymetry using polarization lidar techniques Thesis Title: Remote Measurement of Shallow Media Depth.

Bachelor Of Science (B.S.), Mechanical Engineering

Activities and Societies: Pi Tau Sigma, Tau Beta PiState of Maryland representative, 2003 NASA Academy at Ames Research Center, Moffett.