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Georgia Chalvatzaki is a professor for Interactive Robot Perception & Learning at the Computer Science Department of the Technical University of Darmstadt (Germany). Her research interests are at the intersection of machine learning and classical robotics, taking one step further the research for embodied AI robotic assistants.
Massimo Fornasier holds the Chair of Applied Numerical Analysis at TU Munich. His research embraces a broad spectrum of problems in mathematical modeling, analysis and numerical analysis. He is particularly interested in the concept of compression as appearing in different forms in data analysis, image and signal processing, and in the adaptive numerical solutions of partial differential equations or high-dimensional optimization problems.
Lindon Roberts is a Senior Lecturer in the School of Mathematics and Statistics at the University of Melbourne. His research is primarily in the development, theoretical analysis, and software implementation of algorithms for mathematical optimisation. His interests include applications of optimisation in areas such as data science, imaging and climate science. He has received several awards for his research, including the 2021 IMA Leslie Fox Prize for Numerical Analysis.
Ian Abraham is a senior lecturer in computer engineering at the University of Sydney (Australia). Previously he was an assistant professor at Yale University in the Mechanical Engineering and Computer Science Departments after spending some time as a postdoctoral scholar at the Robotics Institute at Carnegie Mellon University. His research interests are in developing computational methods that enable robotic systems to intelligently interact with, explore, and learn in extreme and remote environments and through collaboration with other robots.
Vince Kurtz is an assistant professor at DePaul’s School of Computing (Chicago, USA). He obtained his PhD from Notre Dame in 2023. Subsequently, he worked on the Large Behavior Models team at Toyota Research Institute, as a research scientist in the Burdick group at Caltech, and as a postdoc in Caltech’s AMBER lab. The focus of his work lies on control, simulation, and learning algorithms for robotics, with the long-term goal of enabling new tools that amplify human capabilities.
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