
About
Marios Savvides is the Bossa Nova Robotics Professor of Artificial Intelligence and a Full Tenured Professor in the Electrical and Computer Engineering Department at Carnegie Mellon University (CMU). He is also the Founder and Director of the CyLab Biometrics Center. His research focuses on AI algorithms for biometrics, facial recognition, iris scanning, and object detection under challenging conditions. He holds a BEng from the University of Manchester, an MS in Robotics from CMU, and a PhD in Electrical and Computer Engineering from CMU.
Education:
- BEng, Microelectronics Systems Engineering, University of Manchester Institute of Science and Technology (1997)
- MS, Robotics, Carnegie Mellon University (2000)
- PhD, Electrical and Computer Engineering, Carnegie Mellon University (2004)
Research Interests:
- Core AI and machine learning for robust biometric systems
- Long-range iris capture and matching
- Low-shot object detection and scene understanding
- Applications in retail automation, airport security, and medical imaging
Key Achievements:
- Recipient of seven Best Paper Awards and the 2022 PIPLA Inventor of the Year
- Recipient of the 2015 Edison Gold Award, 2018 Immigrant Entrepreneur Award, and 2020 AI Excellence Award
- Developed AI algorithms deployed in over 3 million ADT security cameras and Bossa Nova robots
- Spun off startups including HawXeye and Oosto, serving as CTO/Chief AI Scientist
Grants and Partnerships:
- Collaborations with Bossa Nova Robotics, Egen, UltronAI, and CMKL University
- Research on facial recognition for stock market prediction and medical imaging privacy risks
Labs and Teams:
- Director of the CyLab Biometrics Center
- Member of IEEE Biometric Council and contributor to the IEEE Certified Biometrics Professional program
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