John Aloimonos

John Aloimonos is a Professor in the Department of Computer Science at the University of Maryland. His appointments include roles at the Department of Computer Science (CS), the University of Maryland Institute for Advanced Computer Studies (UMIACS), and the Center for Autonomous Robotics and Perception (CFAR). He earned his Ph.D. from the University of Rochester in 1987. His research focuses on AI and Robotics, Computer Vision, Machine Perception, Graphics Visualization, and Neuro-Informatics. Notable work includes studies highlighted in New Scientist, CNN, and Yahoo News in 2003, and the Qualcomm Innovation Fellowship in 2011. He has advised numerous PhD students and contributed to projects like GapFlyt, recognized in IEEE Spectrum. His research explores intersections between vision, robotics, and learning, with applications in autonomous systems and neuro-informatics.

• Education: Ph.D., University of Rochester, 1987

Research interests span AI, robotics, and perception, emphasizing interdisciplinary approaches. Media highlights include breakthroughs in robotic vision, featured in major outlets. Awards include NSF’s National Young Investigator (1990) and Qualcomm Fellowships.

His advising includes over a dozen PhD students, many engaged in cutting-edge AI and robotics projects. He is affiliated with CFAR, advancing autonomous systems research. Mentions in news highlight contributions to K-12 robotics education and departmental outreach.