Faculty Directory

Shamma, Shihab

Shamma, Shihab

Electrical and Computer Engineering
The Institute for Systems Research
2203 A.V. Williams Building

Shihab Shamma received his B.S. degree in 1976 from Imperial College, in London, U.K. He received his M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 1977 and 1980, respectively. Dr. Shamma received his M.A. in Slavic Languages and Literature in 1980 from the same institution.

Dr. Shamma has been a member of the University of Maryland faculty since 1984, when he started as an Assistant Professor in the Electrical Engineering Department. He has been associated with the Institute for Systems Research since its inception in 1985, and received a joint appointment in 1990. He is a fellow of the Acoustical Society of America and the Institute of Electrical and Electronics Engineers.

Dr. Shamma's research deals with issues in computational neuroscience, euromorphic engineering, and the development of microsensor systems for experimental research and neural prostheses. Primary focus has been on studying the computational principles underlying the processing and recognition of complex sounds (speech and music) in the auditory system, and the relationship between auditory and visual processing. Signal processing algorithms inspired by data from neurophysiological and psychoacoustical experiments are being developed and applied in a variety of systems such as speech and voice recognition and diagnostics in industrial manufacturing. Other research interests included (at various times) the development of photolithographic microelectrode arrays for recording and stimulation of neural signals, a VLSI implementations of auditory processing algorithms, and development of robotic systems for the detection and tracking of multiple sound sources.

Honors and awards

Fellow, Acoustical Society of America Fellow (2004)

Fellow, Institute of Electrical and Electronics Engineers (2018)

ISR Outstanding Faculty Award (2007)


Representation of the acoustic signal at various levels in mammalian auditory systems. Ranges from theoretical models of auditory processing in early and central auditory stages, to neurophysiological investigations of the auditory cortex, to psychoacoustical experiments of human perception of acoustic spectral profiles

Nikolas Francis on the Neurophysiology of Listening

New Brain and Behavior Institute and Department of Biology faculty hire brings wide-ranging expertise to collaborative neuroscience endeavors at UMD.

Cornelia Fermüller is PI for 'NeuroPacNet,' a $1.75M NSF funding award

The resulting "network of networks" will further the scientific grand challenge of developing neuromorphic artificial intelligence.

AESoP symposium features speakers, organizers with UMD ties

The symposium highlights research on hearing, speech and language that makes use of novel EEG or MEG signal processing.

Shamma, colleagues publish in Journal of Neuroscience

Paper explores the neural basis of the brain's efficient auditory encoding.

UMD auditory cortex research featured in Nature Neuroscience

Study reveals how the brain nimbly and rapidly change responses to incoming sensory stimuli depending upon the cognitive context of the moment.

NSF funds Shamma, Espy-Wilson for neuromorphic and data-driven speech segregation research

The project will investigate how mimicking the brain's auditory processing can address AI signal processing challenges.

Fermuller, Shamma, Etienne-Cummings receive NSF grant for 'Research Coordination Network'

The network will advance understanding of how biological systems learn complex symbolic signals, and create artificial systems with similar capabilities.

Maryland researchers develop computational approach to understanding brain dynamics

This paper published in PNAS develops a signal processing framework for extracting dynamic functional networks from neuronal data at unprecedented resolutions.

Shihab Shamma elected IEEE Fellow

Shamma was selected for his work applying signal processing to auditory neuroscience.

Five Clark School faculty part of $8 million NIH grant to combat hearing loss in older people

Multidisciplinary research will examine strategies to improve communication challenges.

Institute of Electrical and Electronics Engineers (IEEE)

  • Fellow, 2018

  • Fellow, 2004