Daniel Harabor is an Associate Professor in the Department of Data Science and Artificial Intelligence at Monash University, where he leads the Shortest Path Lab, a research group focused on AI planning and heuristic search. His work addresses complex sequential decision-making problems, particularly in pathfinding, with applications for robotics, transportation, and video games.
Mor’s research interests lie in the interaction between humans and intelligent agents, where she work to incorporate lessons and inspirations from cognitive science, neuroscience and biology. She is a firm believer that only by focusing on interdisciplinary studies can we achieve results that can strongly impact human life.
Kevin Zheng is a Software Engineer at the Shortest Path Lab, Monash University, specialising in the development of visualisation tools for AI planning and heuristic search. He is the lead developer of Posthoc, a framework designed to enhance the interpretability of search algorithms through intuitive visualisations.
Nir is an Associate Professor in Artificial Intelligence at the School of Computing and Information Systems, The University of Melbourne. He is a member of the Agent Lab group and the Digital Agriculture, Food and Wine lab. His research focuses on how to introduce different approaches to the problem of inference in sequential decision problems, as well as applications to autonomous systems in agriculture.