Charles Camp

Charles Camp

National Science Foundation Teaching Fellow

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location of Charles CampBethesda, Maryland, United States

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  • Timeline

  • About me

    Project Leader, Electrical Engineer at National Institute of Standards and Technology (NIST)

  • Education

    • University of Maryland College Park

      2003 - 2005
      Master of Science (M.S.) Electrical and Electronics Engineering

      Specialization: ElectrophysicsThesis Advisors: Prof. Julius Goldhar and Dr. Christopher Richardson (DoD)Thesis: "Patterned Active Region Multimode Switches for Optical Thresholding: Theory and Simulation"

    • University of Maryland College Park

      1999 - 2003
      Bachelor of Science (B.S.) Electrical and Electronics Engineering

      Honors Thesis Advisor: Prof. Julius Goldhar

    • Georgia Institute of Technology

      2005 - 2011
      Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering

      Activities and Societies: Tae Kwon Do Club Dissertation Advisor: Prof. Ali AdibiTechnical Interest Group (TIG): Optics and PhotonicsMinor TIGs: Bioengineering, Microelectronics, and ElectromagneticsMinor: Chemistry (Physical, Analytical, Biochemistry)Dissertation: "Label-Free Flow Cytometry Using Multiplex Coherent Anti-Stokes Raman Scattering (MCARS) Spectroscopy"

  • Experience

    • University of Maryland

      Jan 2001 - Jan 2002
      National Science Foundation Teaching Fellow

      Introduced 36 first-year engineering students (per semester) to the various fields of engineering through lectures, team-building exercises, and exams.

    • University of Maryland

      Aug 2003 - Aug 2005
      Graduate Research Assistant

      * Designed a new class of optical devices for use in all-optical switching and thresholding: patterned active region multimode switches (PARMS).* Created a robust software package in MATLAB for the analysis of semiconductor waveguides with non-linearities.

    • Georgia Institute of Technology

      Aug 2005 - May 2006
      Graduate Teaching Assistant

      * Conducted laboratory lectures and demonstrations, graded lab reports and homeworks, and held office hours for the course Introduction to Signal Processing.* Assisted with course lectures, graded homeworks, and proctored exams for the Senior course Laser Theory and Applications (awarded university-wide Georgia Tech Outstanding Teaching Assistant Award).

    • Georgia Institute of Technology

      Jan 2009 - Aug 2011

      * Developed the first label-free flow cytometer using multiplex coherent anti-Stokes Raman scattering (MCARS) for biological and material analysis.* Coordinated and authored several grant proposals for submission to the National Institute of Health (NIH) and the National Science Foundation (NSF).* Constructed the first interferometric multiplex coherent anti-Stokes Raman scattering (iMCARS) system using photonic crystal fiber laser source.* Established the first biophotonics research program within the Photonics Research Group. Show less

      • Graduate Research Assistant

        Aug 2005 - Aug 2011
      • Research Experience for Undergraduates (REU) Mentor

        Jan 2009 - Jan 2009
    • National Institute of Standards and Technology (NIST)

      Aug 2011 - now

      * Developed the world’s fastest broadband coherent anti-Stokes Raman scattering (BCARS) microscope for label-free, functional imaging for use as a NIST divisional core imaging technology.* Investigating the application of BCARS imaging to attack significant questions in tissue engineering, biology, and medicine in collaboration with experts across technical disciplines.* Developing software tools for bioinformatics, hyperspectral imaging, image processing, and electromagnetic simulations. Show less

      • Project Leader, Electrical Engineer

        Nov 2019 - now
      • Electrical Engineer

        Aug 2013 - Nov 2019
      • National Research Council Postdoctoral Fellow

        Aug 2011 - Aug 2013
  • Licenses & Certifications

    • Neural Networks and Deep Learning

      Coursera
      Sept 2018
      View certificate certificate
    • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

      Coursera
      Oct 2018
      View certificate certificate