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
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
Associate Professor, Department of Computer Science
Research Interests: Computer vision, computational imaging, and computer graphics
Assistant Professor, Department of Computer Science
Research Interests: Interface between machine learning, artificial intelligence, and economics
Assistant Professor / Tenure-track
Research Interests: Computational Linguistics, Natural Language Processing
Professor, Department of Electrical and Computer Engineering
Research Interests: 5G Wireless Security, Spectrum Sharing, CPS/IoT Security, Machine Learning, Physical Layer Security, Network Forensics