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Marios Savvides is the Bossa Nova Robotics Professor of Artificial Intelligence and the Director of the CyLab Biometrics Center at Carnegie Mellon University. He received a Bachelor of Engineering in Microelectronics Systems Engineering from the University of Manchester Institute of Science and Technology in 1997, followed by a Master of Science in Robotics from Carnegie Mellon University's Robotics Institute in 2000, and a Ph.D. in Electrical and Computer Engineering from CMU in 2004. His research focuses on developing core AI machine-learning algorithms successfully applied in robust face detection, face recognition, iris biometrics, and object detection. Notably, he led the development of a long-range iris capture system that can acquire irises from 12 meters away and has contributed significantly to various biometrics and AI challenges. Professor Savvides has also served in key roles within IEEE, including vice president of the IEEE Biometric Council. He has authored or co-authored over 240 publications and holds 40 filed patent applications, with 15 issued patents. He has received multiple awards for his innovative contributions to technology, including the 2009 Outstanding Research Award from CMU and the 2015 Gold Award from the Edison Awards for Applied Technologies in biometrics. His work has gained significant media attention, including presentations at the World Economic Forum and mentions in major news outlets.
Carnegie Mellon University • Pittsburgh, PA
Lead research in AI and robotics, focusing on biometrics and machine learning applications.
CyLab Biometrics Center • Pittsburgh, PA
Oversee research at the CyLab Biometrics Center focusing on innovative biometric solutions.
Bossa Nova Robotics • Pittsburgh, PA
Led research on AI algorithms for inventory management using autonomous robots.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.