James L. Carmon Scholarship

Ehsan Latif, a Ph.D. student in the School of Computing, is an exceptional scientist who has demonstrated significant productivity, creativity and insightfulness. Latif works at the computing intersection of advanced algorithms and wireless networking innovations for multi-robot systems. He is developing methods to improve multi-robot systems in coordinating their actions for localization and exploration. These systems must know their individual locations while continuously communicating with each other so they can perform complex tasks and interact with human observers (such as collaborating with first responders in post-disaster search and rescue efforts. Latif’s research has led to algorithms that provide high localization accuracy and efficient exploration for robots while reducing communication and computational demands. He also explores the use of network-related devices like sensors to solve problems, such as localizing robots in unknown environments and designing new frameworks for multiple robots to collaborate. He exploits dynamic reinforcement learning with optimized usage to provide efficient exploration.