Dr. Frigui is a full Professor of Computer Engineering and Computer Science at the University of Louisville, where he serves as Director of the Multimedia Research Laboratory. He has over 30 years of experience in the areas of AI, machine learning, multi-sensor and multi-media data analysis and information fusion. His research focuses on all major steps of the learning process including feature extraction and selection, learning algorithms, information fusion, and decision making. He contributed to the theoretical and practical aspects of these areas.

Dr. Frigui has been working on various applications that include detection of landmines and improvised explosive devices (IED), computational methods to analyze video recordings simulating medical care during crises, computational methods to analyze stable isotope assisted metabolomics to facilitate the identification of metabolites in biochemical pathways, and computational methods for material informatics. Most of these projects include the integration and fusion of data from multiple modalities including text, image, audio, video, hyperspectral, and radar data. His main contributions include: 1) development of autonomous algorithms for detecting buried explosive devices such as landmines and improvised explosive devices (IED) using Ground Penetrating Radar (GPR) and Wideband Electro-Magnetic Induction (WEMI) sensors, 2) development of a new dynamic information fusion approach that learns different contexts and adapts the fusion to each context, 3) development of several unsupervised learning algorithms,  4) identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis,  5) speech data analysis for semantic indexing of video of simulated medical crisis, and 6) Target detection and identification using color, infra-red imaging, and radar.

Dr. Frigui's research has been supported by NSF, NIH, and DoD.