New faculty join Computer and Data Science Department

Dr. Shuai Xu

Shuai Xu received his Ph.D. in Computer Science under Dr. Ning Xie's supervision from Florida International University. He received a Bachelor of Science from University of Utah in 2012 and a Master of Science from Florida International University in 2015, both in mathematics. His research interest lies in theoretical computer science, with a focus on designing efficient algorithms and Fourier analysis of Boolean functions. He is also interested in developing quantitative investment strategies for hedge funds by adhering to mathematical and statistical methods. 

He will be teaching EECS 302, Discrete Mathematics and EECS 395, Senior Project, beginning in the Fall semester. 



Dr. Yinghui Wu

Dr. Yinghui Wu received his Ph.D. in Computer Science from the University of Edinburgh, UK, and B.S. in Computer Science from Peking University, China. Before he joined WSU, he was a research scientist in the Department of Computer Science, University of California Santa Barbara, and served as a member of the Network Science Collaborative Technique Alliance. His research interests are in areas of Big Data, databases and data analytics with applications in social science, cyber-physical systems, and cybersecurity. His research has received several awards including ACM Research Highlight award, SIGMOD best paper award, VLDB best demo award, and a Google faculty research award. He will be teaching DSCI 234, Structured and Unstructured Data, beginning in the Fall semester.



Dr. Yanfang (Fanny) Ye

Dr. Yanfang (Fanny) Ye’s research areas mainly include cybersecurity, data mining, machine learning, and health intelligence. Before joining CWRU, she was an assistant professor and then associate professor in the department of computer science and electrical engineering (CSEE) at West Virginia University (2014-2019); formerly she was the Principal Scientist in Comodo Security Solutions, Inc. (2010-2013) and the R&D Deputy Director at Kingsoft Internet Security Corporation (2008-2010). Her proposed techniques have significantly reduced the time needed to detect new malicious software - from weeks to seconds, which have been incorporated into popular commercial cybersecurity products that protect millions of users worldwide. She recently received the prestigious NSF Career Award (2019), the IJCAI Early Career Spotlights (2019), the AICS 2019 Challenge Problem Winner, the ACM SIGKDD 2017 Best Paper Award and ACM SIGKDD 2017 Best Student Paper Award (Applied Data Science Track), the IEEE EISIC 2017 Best Paper Award, and the New Researcher of the Year Award (2016-2017) at WVU. As the PI, she has brought in $3.5M dollars in research funding from multiple federal agencies in support of her research.