Rate My Professor Wael Abd Almageed

Abd Almageed's research interests include representation learning, debiasing and fair representations, multimedia forensics and visual misinformation identification such as deepfake and image manipulation detection, face recognition, and biometric anti-spoofing. He leads multi-institution research efforts including DARPA's MediFor, GARD, and LwLL, and IARPA's Janus, Odin, and BRIAR. He has over 100 publications in top-tier computer vision, machine learning, and biometrics venues such as CVPR, NeurIPS, ICCV, ECCV, ACM MM, PAMI, TBIOM, and ICB. Notable publications include "Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features" (Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019) and "Unsupervised Adversarial Invariance" (NeurIPS, 2018). He received the USC Information Sciences Institute Achievement Awards in 2022 and 2019. His research has been featured in Forbes, Glamour UK, Fox News, Time For Kids, and PCMag, highlighting its influence on combating visual misinformation and advancing secure AI technologies.