Woodruff School of Mechanical Engineering

Faculty Candidate Seminar


Multi-Modality Sensing and Encoding for Advanced Diagnostic Measurements


Dr. Ellen Yi Chen Mazumdar


Sandia National Laboratories


Friday, October 27, 2017 at 11:00:00 AM


Montgomery Knight Building, Room 317


Dr. William Wepfer


Many important physical behaviors are often poorly understood because they occur in challenging environments such as within solid propellant flames or near shockwave-induced fragmentation events. To better understand these systems, new diagnostics need to be developed that quickly gather information on multiple modalities. In particular, I am interested in how encoding mechanisms can be exploited to gather data rapidly and then decoded to elucidate multiple physical phenomena and implement advanced control. Many mechanisms such as optical diffraction, coherent interference, and magnetic field superposition inherently contain encoding principles, which can be further enhanced with adaptive under-sampling, active feedback control and stochastic system identification algorithms. In this talk, I describe several multi-modality diagnostic measurement methods and discuss their application to challenging environments. These include 1)Digital holography methods for encoding three-dimensional information on two-dimensional sensors, 2) Hyperspectral imaging and adaptive under-sampling, and 3) Remote high-speed magnetic field sensing of temperature, vibration, and fluid vorticity. The talk will conclude with an overview of my vision for how multi-modality sensing and encoding can be utilized for advancing high-speed magnetic/optical diagnostics, bio-inspired perception, and miniaturized sensing for distributed state estimation and control.


Dr. Ellen Yi Chen Mazumdar is currently a postdoctoral appointee at Sandia National Laboratories in the Diagnostic Science and Engineering group. She received her B.S. and M.S. in mechanical engineering from Massachusetts Institute of Technology. In 2015, she received her Ph.D. in mechanical engineering from the MIT BioInstrumentation Laboratory under the guidance of Professor Ian W. Hunter. She received first place in the 2014 MIT de Florez Graduate Design Competition for outstanding ingenuity and creative development of a multi-link robotic endoscope. She was also the recipient of the National Science Foundation Graduate Research Fellowship (2008-2013) and the National Defense Science and Engineering Graduate Fellowship through the Department of Defense (2010-2013). Her research focuses on developing novel sensors, robots, instrumentation, and mathematical techniques for understanding or controlling physics in challenging environments.