Dimitris Metaxas

Dimitris Metaxas is a Professor in the Department of Computer Science at Rutgers University, specializing in Artificial Intelligence, Computer Vision, and Medical Imaging. His work bridges cutting-edge AI techniques with critical applications in healthcare and urban mobility. He leads research initiatives such as the Center for Accelerated and Real Time Analytics (CARTA) and has pioneered advancements in cardiac MRI reconstruction, diffusion models, and federated learning for medical data.

• Education: Not explicitly detailed in text, but his academic role implies doctoral training in Computer Science/Engineering.

His research interests focus on medical AI applications, including automated diagnosis via imaging, generative models for healthcare data anonymization, and real-time analytics for smart cities. Notable contributions include foundational work on diffusion models (e.g., DiMSUM, SODA), medical dataset development (MedForge), and ethical AI integration in healthcare.

Recent publications highlight trends in multimodal learning (e.g., sign language recognition, text-to-image generation), federated learning for medical privacy, and urban safety innovations like bicycle lane impact analysis.

• Awards: MICCAI Society Fellow (202?), IEEE Fellow, NIH/NASA/NSF grants totaling millions.

He advises PhD students like Bingyu Xin (first place MICCAI 2024) and Meng Ye, while leading multi-institutional grants for projects like smart city micromobility systems with the Bloustein School. His lab develops tools like the CMRxRecon challenge platform for cardiac imaging and the SnapGen-V video synthesis system.

Labs/Teams: CARTA Center, Medical Imaging AI Lab, Rutgers-Industry Collaboration for Urban Mobility Solutions.