Moeness G. Amin

Biography

A world leader in through-the-wall radar imaging technologies, Moeness G. Amin has driven advances in disaster rescue, urban defense and security, surveillance, and law enforcement. His work on radar for seeing through walls enabled mapping of building interiors from different standoff distances using electromagnetic waves. His groundbreaking algorithms have achieved diminished strong exterior wall reflections; exploited signal multipath and interior wall scatterings; and detected, localized, resolved, and tracked animate objects behind walls and inside enclosed opaque structures. His work has advanced transparent urban structures using handheld, vehicle-mounted, and airborne through-wall sensors. He established the area of compressive urban radar where his sparse signal processing approach led to fast data acquisitions and solved key problems in urban radars operating with substantially reduced data. Amin's radar signal processing and machine learning techniques for in-home sensing have advanced contactless health monitoring and improved the man-machine interface. His algorithms for fall detection using radio frequency reduce injury, save lives, protect privacy, and bring the notion of ""aging-in-place"" for the elderly population closer to reality. His work on abnormal gait detection brings radar to the forefront of biomedical applications as it relates to injury assessment, rehabilitation, and recognition of neurological and physical conditions. His approaches for classification of human activities of daily living detect variants in daily routines, recognize changes in mobility, and identify markers of psychological conditions. His hand- and arm-gesture recognition techniques help seniors and people with disabilities to command in-home appliances and entertainment units. Amin's work on dual-function radar communications systems bridged the two areas of radar and communications and allows for integrated sensing and communications, integrated command and control, and effective sensor management. His novel signaling techniques for embedding communication information into radar pulses and beams enable shared aperture design and progress cooperative coexistence of radio-frequency sensing and services toward spectrum efficiency and interference avoidance, which are considered fundamental to advances in radio frequency convergence.

An IEEE Life Fellow and recipient of the 2016 Humboldt Prize, Amin is director of the Center for Advanced Communications and professor, Department of Electrical and Computer Engineering, Villanova University, Villanova, PA, USA