- Ph.D., Computer Science, College of William and Mary, 2016
- M.S., Computer Science, College of William and Mary, 2011
- B.S., Computer Science, Northeastern University, 2008
Feng Yan is an assistant professor in the Department of Computer Science & Engineering at the University of Nevada, Reno. He earned both M.S. and Ph.D. degrees from the Computer Science Department at College of William and Mary. He got his B.S. degree from Northeastern University. He was a research associate in Microsoft Research in 2014 and in HP Labs in 2013.
Dr. Yan's main research work has been focused on improving the performance and efficiency of computing frameworks and systems for big data processing using various modeling and system techniques. He closely collaborates with industry partners (e.g., Microsoft Research, HP Labs, IBM Research, EMC, NetApp) to solve big and important problems, ranging from data center infrastructures to cluster computing frameworks (e.g., Hadoop, Spark) to large-scale, data-intensive computing systems (e.g., distributed deep learning systems). His research outcomes have been published in premiere venues, turned into patents and software prototypes.
- Big data
- Cloud computing
- Data analysis
- Resource management
- Distributed deep learning,
- Time series analysis and prediction
- Performance modeling and evaluation
- Tiered storage systems
- Power management
Please visit Dr. Yan's website for his latest publication list.