ECE Colloquium: Dimitris Metaxas

ECE Colloquium: Dimitris Metaxas

Title: Explainability, Generation, Physics and Dynamics in ML for Computer Vision and Medical Applications

Abstract: We have been developing a computational learning and AI framework that combines principles of physics-based deformable models, domain knowledge (explainability) and generative methods to augment the performance of pure data driven ML with emphasis on dynamic applications. This framework has been used for resolution of complex dynamic problems in computer vision and biomedical applications. In computer vision we will present physics-based modeling and diffusion methods to estimate detailed 3D shape and motion of humans, complex scenes, and explainable coupled dynamic systems for use in autonomous cars. In biomedical applications we will present results in cardiac analytics, histopathology and gene identification for cancer, and novel AI/ML methods that use domain knowledge to offer explainability and provide further insights into learning-based decision making and diagnosis. We will conclude with future research plans.

Bio: Dimitris Metaxas is a Board of Governors and Distinguished Professor in the Computer and Information Sciences Department at Rutgers University. He is directing the Center for Computational Biomedicine, Imaging and Modeling (CBIM) and the NSF University-Industry Collaboration Center CARTA with emphasis on real time and scalable data analytics, AI and machine learning methods with applications to computational biomedicine and computer vision. Dr. Metaxas has been conducting research towards the development of novel methods and technology upon which AI, machine learning, computer vision, medical image analysis, and generative methods can advance synergistically. In medical and biological image analysis new AI, Machine Learning and model-based methods have been developed for material modeling and shape estimation of internal body parts from MRI, SPAMM and CT data, cancer diagnosis, cell segmentation from histopathology images, cell tracking, cell type analysis and linking genetic mutations to cells. Dr. Metaxas has published over 800 research articles in these areas and has graduated over 69 PhD students, who occupy academic and industry positions. His research has been funded by NIH, NSF, AFOSR, ARO, DARPA, HSARPA, and the ONR. Dr. Metaxas work has received many best paper awards and he has 9 patents. He was awarded a Fulbright Fellowship in 1986, is a recipient of an NSF Research Initiation and Career awards, and an ONR YIP. He is a Fellow of the American Institute of Medical and Biological Engineers, a Fellow of IEEE and a Fellow of the MICCAI Society. He will be a General Chair of CVPR 2026, while he has been general chair of IEEE CVPR 2014, Program Chair of ICCV 2007, General Chair of ICCV 2011, FIMH 20011 and MICCAI 2008 and the Senior Program Chair for SCA 2007.