New Data X Faculty 2016-2017

As a result of the Data X initiative, the CSE Department is pleased to announce the addition of three new faculty members joining us over the coming year. Dr. Sihong Xie will join the department this fall as an assistant professor. Our other new assistant professors, Dr. Eric P. S. Baumer and Dr. Miaomiao Zhang, will join us Spring 2017 and Fall 2017 respectively.

Sihong Xie Sihong Xie earned his Ph.D. in Computer Science from the University of Illinois at Chicago under the supervision of Philip S. Yu. He is interested in quality and trustworthiness issues arising in big data applications such as crowdsourcing, marketing analysis, healthcare, and politics. Sihong has published over 30 papers in premier venues such as the SIGKDD Conference on Knowledge Discovery and Data Mining, the International World Wide Web Conference, and the International Conference on Data Mining. Sihong will teach a new course on text mining when he joins the CSE Department as an Assistant Professor in Fall 2016.
Eric Baumer Eric P. S. Baumer studies the relationships between technology design and its societal effects. His interdisciplinary research synthesizes across computer science, sociology, and communication and media studies. Most recently, Eric worked as a Research Associate in the Communication Department and the Information Science Department at Cornell University, and he holds a Ph.D. in Information and Computer Sciences from the University of California, Irvine. Eric's research has been published such conferences and journals as the ACM CHI Conference, Social Media + Society, the ACM CSCW Conference, the Journal of Information Technology and Politics, and New Media & Society. Eric will join the CSE Department as an Assistant Professor starting in Spring 2017.
Miaomiao Zhang Miaomiao Zhang is a postdoctoral associate working with Dr. Polina Golland in Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology. Her research work focuses on developing novel models at the intersection of statistics, mathematics, and computer engineering in the field of Medical Imaging and Machine Learning. She particularly enjoys working on statistical shape analysis and predictive modeling of high-dimensional data. Miaomiao received the Young Scientist Award at the 2014 Medical Image Computing and Computer-Assisted Intervention (MICCAI). Prior to that, she completed her Ph.D. degree in the School of Computing under Computer Science department at University of Utah. Miaomiao will be joining the CSE Department as an Assistant Professor in Fall 2017.
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