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John M.M.
Anderson

Contact

Office: 
Office of the Dean, 2366 6th Street, N.W., Suite 100
Phone: 
(202) 806-6565
Email: 
j_m_anderson@howard.edu

Faculty Details

Rank: 
Dean and Professor
Education: 

Brown University, 1985, Sc.B, Electrical Engineering
Georgia Institute of Technology, 1987, MSEE, Electrical Engineering
University of Virginia, 1992, Ph.D., Electrical Engineering

Speciality: 

Image Processing, Signal Processing, Medical Imaging

Research: 

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 as developed image reconstruction algorithms for medical imaging modalities such as positron emission tomography and X-ray computed tomography.

Subjects Taught: 

1. Fundamentals of Signals and Systems
2. Communications Theory
3. Probability and Random Variables
4. Signal Processing I, II
5. Math Laboratory I, II

Detailed Information

News

Recent Computer Science Ph.D. Graduates Join Industry as Outstanding Researchers

Fri, November 20, 2020

Recent Computer Science Ph.D. graduates Abdulhamid Adebayo (far right) and Ronald Doku (second to the right) joined tech giants IBM Research and Oracle as researchers in cybersecurity and data science. Dr. Adebayo joined IBM Research as Hybrid Cloud Security Researcher and Dr. Doku joined Oracle, Inc. as Data Scientist. Both were graduate research assistants and advisees of Danda B. Rawat, Ph.D., Computer Science Professor and Director of Howard University’s Data Science & Cybersecurity Center (DSC2). Read More >>

Electrical Engineering Lecturer Fadel Lashhab Receives 2020 IEEE IEMTRONICS Best Paper Award

Fri, October 23, 2020

Electrical Engineering Lecturer Fadel Lashhab, Ph.D. recently received the prestigious Institute of Electrical and Electronics Engineers (IEEE), International IoT, Electronics and Mechatronics (IEMTRONICS) Best Paper Award in the Mechatronics track for his paper titled “Estimation of Dynamic Laplacian Eigenvalues in Dynamic Consensus Networks”. Read More >>

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