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Alexander Steiger is an Assistant Research Professor in the Department of Computer Science at Duke University. He is focused on computational geometry and motion planning, conducting research into algorithmic solutions involving the union of cubes and motion planning for robotic systems. His recent publications delve into complex geometric configurations and offer near-optimal solutions to significant computational problems in three-dimensional space. He holds a Ph.D. from Duke University, completed in 2023, marking his academic trajectory as a rising scholar within the field. Through innovative research methodologies, Steiger aims to advance the understanding and application of algorithms in both academic and practical settings, contributing to the broader domain of computer science. His work primarily addresses theoretical foundations while also exploring their implications in real-world scenarios, particularly as they relate to robotic movements in constrained environments.
Department of Biomedical Engineering (MS program)