Visual Intelligence and Multimedia Analytics Laboratory

Empowering students to use artificial intelligence to make the world a better place, one day at a time

 VIMAL’s experienced academic and research staff push the boundaries of academic knowledge in areas spanning biometrics, face recognition, optical coherence tomography, speech, image processing, forensics, and multimedia.

VIMAL researchers contribute to several nationally influential research programs addressing some of today’s most pressing challenges in these areas, from improving security to unmasking fake news, and optimizing knowledge extraction.

VIMAL is dedicated to innovation in visual intelligence and multimedia analytics. We develop machine-learning and deep-learning techniques to address pressing challenges in biometrics, multimedia provenance and misinformation detection.

Our teams commit to publishing high-quality content and continue to attract impactful research that addresses the world’s important challenges.  Check out our recent publications here.

We receive continuous support and assistance from government sponsors in developing our research projects. Check out our sponsor’s list here.

We receive continuous support and assistance from both academic and industrial collaborators in developing our research projects. Check out our collaborators list here. 

Get to know more about our media coverage

“Once this line is eroded, truth itself will not exist,” said Wael Abd-Almageed, a research associate professor at the University of Southern California and founding director of the school’s Visual Intelligence and Multimedia Analytics Laboratory.

Another concern is that such findings will create the impression that deepfakes will become completely undetectable, says Wael Abd-Almageed, founding director of the Visual Intelligence and Multimedia Analytics Laboratory at the University of Southern California, who was not involved in the study. 

As high-level security systems transition to gathering biometric data via facial recognition, iris scans, and fingerprints, researchers such as USC’s Dr. Wael Abd-Almageed are creating AI neural nets to spot fakes.

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