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John M. M. Anderson


  • Office of the Dean, CEA
  • College of Engineering and Architecture (CEA)


John M. M. Anderson holds a Ph.D. in electrical engineering from the University of Virginia, an M.S. in electrical engineering from the Georgia Institute of Technology, and an Sc.B. in electrical engineering from Brown University. After completing his doctoral studies, Dr. Anderson joined the Department of Electrical and Computer Engineering at the University of Florida. While at the University of Florida, Dr. Anderson was a visiting faculty member in the Department of Electrical and Computer Engineering at the University of Maryland in College Park. Since 2002, Dr. Anderson has been a faculty member in the Department of Electrical Engineering and Computer Science at Howard University in Washington, DC. Currently, Dr. Anderson is Dean of the Howard University College of Engineering and Architecture, as well as a professor of electrical engineering. In addition to his experiences in academia, Dr. Anderson has served as a health science administrator for the National Institute for Biomedical Imaging and Bioengineering at the National Institutes of Health and as an associate editor for the Institute of Electrical and Electronics Engineers Signal Processing Letters. Dr. Anderson is an NSF CAREER Award recipient and a holder of several patents. 

Education & Expertise


Electrical Engineering

Brown University

Electrical Engineering

Georgia Institute of Technology

Electrical Engineering

University of Virginia


Image Processing, Signal Processing, Medical Imaging

Dr. Anderson's general research interests lie in the areas of signal and image processing. Currently, the problem of reconstructing images for impulse and step frequency ground penetrating radar systems is receiving his greatest attention. In the past, he has developed image reconstruction algorithms for medical imaging modalities such as positron emission tomography and X-ray computed tomography.



Fundamentals of Signals and Systems

Communications Theory

Probability and Random Variables

Signal Processing I, II

Math Laboratory I, II