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Ibrahim Volkan Isler is a professor in the Department of Computer Science at the University of Texas at Austin. With over 16 years at the university, he previously spent time in industry as the head of Samsung's AI center in New York. He co-founded Farm Vision Technologies to make pre-harvest yield mapping accessible to growers. His research interests lie in robotics, with a focus on environmental monitoring, agricultural automation, and home automation. He is particularly interested in perception-action coupling in networked robotics, spending considerable effort on designing planning algorithms that incorporate various constraints in sensing, communication, and actuation. Throughout his academic career, Isler has overseen significant foundational work in field robotics, leveraging teams of robots for environmental data collection, including tracking wildlife like bears and deer. His agricultural robotics research began in 2010, delving into data collection and collaborative techniques. His work has led to practical applications such as strawberry picking and midseason weeding robots. Recently, Isler has emphasized developing neural representations and vision-based robotics solutions. He actively engages with his lab's research projects and has published extensively on these topics, contributing to the fields of algorithmic robotics and computer vision, and informing future technology in automated systems.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.