My research interests are in the area of natural language processing, situated dialogue agents, and artificial intelligence. I’m particularly interested in language processing that is sensorimotor-grounded, pragmatically-rich, and cognitively-motivated. My current work explores the intersection of language, vision, and robotics to facilitate situated communication with embodied agents and applies different types of data (e.g., capturing … Read more
My research interests lie in two major fields: In the field of statistical methodology, my interests include data integration, distributed inference, federated learning and meta learning, high-dimensional statistics, mixed integer optimization, statistical machine learning, and spatiotemporal modeling. In the field of empirical study, my interests include bioinformatics, biological aging, epigenetics, environmental health sciences, nephrology, nutritional … Read more
Dimitra Panagou’s research lies in the areas of multi-agent systems and control, with applications in multi-robot/vehicle systems. She is particularly interested in establishing safety and resilience against adversity and uncertainty for multi-robot/vehicle systems using techniques from (networked) control theory, estimation theory, and machine learning.
My research interests include : Hamiltonian and Lagrangian mechanics, gradient flows on manifolds, integrable systems stability, the motion of mechanical systems with constraints, the relationship between continuous and discrete flows, nonlinear and optimal control and the control of quantum systems. I also interested in data-guided control and in particular the dynamics and control of networks … Read more
Sally Oey’s group is studying massive star populations and the escape of ionizing radiation from starburst galaxies and super star clusters. The group is at the forefront of establishing a new paradigm for massive-star feedback, where superwinds from compact young star clusters fail to launch. Members have used numerical simulations and image processing techniques to … Read more
My research interests lie broadly in the area of artificial intelligence (AI) for social impact, particularly spanning the fields of multi-agent systems and data science for conservation and public health. Accomplishments and Awards
My research spans robotics, computer vision, and machine learning with a focus on enabling autonomy in dynamic, unstructured, or remote environments across field robotics applications (air, land, sea, and space). In particular, my group focuses on problems that rely on limited labeled data.
Dr. Lavieri’s group is focused on creating novel modeling frameworks that utilize the rich datasets available in healthcare to personalize screening, monitoring, and treatment decisions of chronic disease patients. Her group has also created models for health workforce and capacity planning.
Prof. Majdi Radaideh leads the Artificial Intelligence and Multiphysics Simulations lab (AIMS), which focuses on the intersection between nuclear reactor design, nuclear multiphysics modeling and simulation, advanced computational methods, and machine learning algorithms to drive advanced reactor research and improve the sustainability of the current reactor fleet. AIMS extensively employs data science and machine learning … Read more