I am an Assistant Professor in the Department of Computer Science at George Mason University. My research interest mainly falls in system reliability and GPU architecture, including the reliable operation of GPUs, non-conventional sensors, autonomous driving systems, and neural networks.

Qiuyun Llull joined VMware in 2017, working on the performance of next-generation Software-defined Data Center. She is broadly interested in system and architecture for emerging applications, such as data analytics, machine learning, IoT, and autonomous driving. She received her Ph.D. in Computer Engineering from Duke University in 2017, working with Prof. Benjamin Lee. Her doctoral research applies microeconomic models to manage resources in large-scale data centers; her dissertation received Outstanding Dissertation Award from the Duke ECE department. Her recent publication (Amdahl's law in the Datacenter Era: A Market for Fair Processor Allocation) won the Best Paper Award at HPCA 2018. Before coming to the United States, she obtained her M.S. degree from University Paris Sud, France and B.Eng. degree from Huazhong University of Science and Technology, China

I am a 4th year PhD student at UNC Chapel Hill, dabbling in hardware security research. I am fortunate to be advised by Prof. Cynthia Sturton.

I am broadly interested in all aspects of hardware security. The goals of my research are to help hardware designers efficiently build more secure processors that can withstand a wide range of attack programs in the field, as well as to provide interesting insights about hardware vulnerabilities to the community.

I completed my BS in Microelectronics from Peking University, and my MS in Electrical Engineering from Columbia University.

I am a Masters student under the supervision of Prof. Natalie Enright Jerger at the University of Toronto. My research interests include intermittent computing, on-chip power management, and ISAs. I have had previous industry experience at AMD, Intel PSG, and Nvidia.