Dr. Yanjie Fu

Assistant Professor
Department of Computer Science
College of Engineering and Computing
Missouri University of Science and Technology
(University of Missouri-Rolla)

Office: 313, Computer Science Building, 500 W 15TH ST, Rolla, MO
Email:  fuyan@mst.edu
Phone: (573)341-4991

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Short Biography

Dr. Yanjie Fu received his Ph.D. degree in Information Technology from Rutgers, the State University of New Jersey in 2016, the B.E. degree in Computer Science from University of Science and Technology of China in 2008, and the M.E. degree in Computer Engineering from Chinese Academy of Sciences in 2011. He is currently an Assistant Professor at the Missouri University of Science and Technology (University of Missouri-Rolla). His research interests include data mining and big data analytics. He has research experience in industry research labs, such as Microsoft Research Asia, Huawei Research Labs, and IBM Thomas J. Watson Research Center. He has published prolifically in refereed journals and conference proceedings, such as IEEE TKDE, ACM TKDD, IEEE TMC, Decision Support Systems, ACM SIGKDD, IEEE ICDM, and SIAM SDM.

For Prospective Students

[TA/RA positions in PhD program] I am looking for self-motivated, creative and hard-working Ph.D. students. Please feel free to email me your CV if you are interested in my research. Missouri S&T is classified as: Doctoral Universities - Higher Research Activity and is ranked: #63 (tie) in Engineering Programs (doctorate) according to the 2017 US news ranking and #112 in Computer Science according to US news CS ranking.

Research Interests

Dr. Fu's general interests are data mining and big data analytics, especially (1) how analytical approaches alleviate information overload, heterogeneity, and asymmetry and (2) what role modeling regulations play in exploring the correlations among big data. His recent research focuses on applying collective learning, probabilistic modeling, and text mining on big data problems including urban computing, human mobility modeling, wireless intelligence, recommender systems, consumer analytics, and health care.

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