Several categories of graduate faculty exist at George Mason University. Current Mason tenured and tenure-track faculty are automatically granted active graduate faculty status and maintain that status throughout their employment as tenure-line faculty. Please see the list of CEC’s tenured and tenure-track graduate faculty below. CEC and Provost-appointed non-tenured/tenure-track graduate faculty can be found in the database located on the Provost’s Office website.
Meet the College of Engineering and Computing Tenured and Tenure-Track Graduate Faculty
Professor, Department of Cyber Security Engineering and Department of Computer Science
Research Interests: Safety and security of networked control systems overall and Intelligent Transportation Systems (ITS), Next G-based Edge services, building digital twins and vulnerability detection, and mitigation and applying formal methods to ensure cyber security
Assistant Professor, Department of Computer Science
Research Interests: Field Robotics, Motion Planning, Machine Learning
Associate Professor, Department of Systems Engineering and Operations Research
Research Interests: Air Transportation, Data Mining, Optimization, Probabilistic Modeling, Simulation, Systems Architecture, Predictive Analytics
Associate Professor / Tenured
Co-Director of MS INFS ProgramResearch Interests: Systems and security issues of immersive computing systems, such as VR, AR, imaging, and video systems.
Assistant Professor / Tenure-track
Research Interests: Applied Machine Learning, Hardware/Software Co-Exploration for Neural Network Architectures, Embedded Systems
Assistant Professor, Department of Computer Science
Research Interests: System reliability, including the reliable operation of GPUs, nonconventional sensors, autonomous driving systems, and neural networks
Assistant Professor, Department of Electrical and Computer Engineering
Research Interests: Human-robot interactions, human-robot co-learning, bio-inspired robotics, distributed resource allocation
Assistant Professor, Department of Computer Science
Shuochao Yao's research focuses on building physical-aware, resource-efficient, reliable, and predictable artificial intelligence systems for future intelligent Internet of Things (IoT) and Cyber-Physical Systems (CPS)
Assistant Professor, Department of Computer Science
Research Interests: Human AI-interaction, NLP, machine learning
Assistant Professor, Department of Computer Science
Research Interests: Machine learning, data science, and private data release