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Professor Marios Savvides is the Bossa Nova Robotics Professor at Carnegie Mellon University, where he leads the CyLab Biometrics Center. With extensive expertise in artificial intelligence and electrical computer engineering, Savvides has developed robust AI algorithms applied in various fields, including face recognition, iris biometrics, and object detection. His team's innovations allow for long-range iris capture and recognition, enhancing biometric applications. Additionally, he has significantly advanced autonomous robotic systems for inventory analysis by integrating AI into home security technologies. Savvides has pioneered numerous initiatives within the biometric field, contributing to prestigious research evaluations and competitions, while also being instrumental in educational programs like the IEEE Certified Biometrics Professional certification. With a substantial publication record, including over 240 journal articles, Savvides has received numerous accolades for his contributions to technology and research, including awards from the Carnegie Institute of Technology and the Edison Awards.
Carnegie Mellon University • Pittsburgh, PA
Lead researcher in artificial intelligence and biometrics.
Bossa Nova Robotics • Pittsburgh, PA
Overhauled AI algorithms for inventory analysis robots.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.