George Atia

George Atia is an Associate Professor at the Department of Electrical and Computer Engineering, University of Central Florida, directing the Data Science and Machine Learning Lab (DSML). Previously, he was a postdoc at the Coordinated Science Laboratory (CSL) at UIUC and earned his Ph.D. from Boston University, where he was affiliated with the Information Systems & Sciences Lab (ISS) and Center for Information & Systems Engineering (CISE). His research spans big data analytics, sparsity-based learning, controlled sensing, and verifiable planning, with applications in machine learning, cyberphysical systems security, and optical/neural signal processing.

His work emphasizes robust algorithms for high-dimensional data, adversarial attacks in machine learning, and inverse problems in optical imaging. Recent projects include tensor completion for visual data recovery and multi-agent reinforcement learning with robustness guarantees. He has secured major funding from NSF, DOE, and ONR, including the NSF CAREER Award.

Notable scientific contributions include

• Robust Tensor Completion for Visual Data
• Game-Theoretic Frameworks for Cloud Security
• Adversarial Sample Synthesis in Hierarchical Classifiers
• Steady-State Policy Synthesis in MDPs

His teaching includes graduate courses in random processes and detection theory.