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Main Campus
2008 Nitschke Hall
Mail Stop 308
2801 W. Bancroft St.
Toledo, OH 43606-3390
Phone: (419) 530-8140
Fax: (419) 530-8146

Dr. Kevin S. Xu

xu

Assistant Professor

Contact Information

EECS Department
The University of Toledo
Toledo,OH 43606 
Tel: (419) 530-8144
Office: NI 2055 
E-mail: kevin.xu@utoledo.edu 

Recent Courses

  • EECS 1510 - Introduction to Object-Oriented Programming
  • EECS 4750/5750 – Machine Learning
  • EECS 6980/8980 – Social Network Analysis (special topics course)

Research Interests

  • Machine learning
  • Data analytics
  • Human dynamics
  • Network science
  • Statistical signal processing

Current Students

  • PhD: Ruthwik Junuthula, Rehan Ahmad, Abhishek Mukherjee
  • MS: Yuning Zhang, Maysam Haghdan

Biography

Kevin S. Xu received the B.A.Sc. degree in Electrical Engineering from the University of Waterloo in 2007 and the M.S.E. and Ph.D. degrees in Electrical Engineering: Systems from the University of Michigan in 2009 and 2012, respectively. He was a recipient of the Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Master's and Doctorate Scholarships. He is currently an assistant professor in the EECS Department at the University of Toledo and has previously held industry research positions at Technicolor and 3M. His main research interests are in machine learning and statistical signal processing with applications to network science and human dynamics.

Recent Publications

  • Junuthula, R. R., Xu, K. S., & Devabhaktuni, V. K. (2016), "Evaluating link prediction accuracy on dynamic networks with added and removed edges", In Proceedings of the 9th IEEE International Conference on Social Computing and Networking. arXiv: 1607.07330
  • Li, Y., Xu, K. S., & Reddy, C. K. (2016), "Regularized parametric regression for high-dimensional survival analysis", In Proceedings of the 2016 SIAM International Conference on Data Mining (pp. 765–773).Natarajan, A., Xu, K. S., & Eriksson, B. (2016). Detecting divisions of the autonomic nervous system using wearables. In Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 5761–5764).
  • Natarajan, A., Xu, K. S., & Eriksson, B. (2016), "Detecting divisions of the autonomic nervous system using wearables", In Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 5761–5764).
  • Xu, K. S., Reitter, D., Lee, D., & Osgood, N. (Eds.). (2016), "Social, cultural, and behavioral modeling (Vol. 9708)", Cham: Springer.
  • Yalamanchili, J., Green II, R. C., Xu, K. S., & Devabhaktuni, V. K. (2016), "Performance enhanced multiset similarity joins", In Proceedings of the 6th IEEE International Conference on Big Data and Cloud Computing.
  • Hsiao, K.-J., Xu, K. S., Calder, J., & Hero III, A. O. (2015), "Multi-criteria similarity-based anomaly detection using Pareto depth analysis", To appear in IEEE Transactions on Neural Networks and Learning Systems.
  • Han, Q., Xu, K. S., & Airoldi, E. M. (2015), "Consistent estimation of dynamic and multi-layer block models", In Proceedings of the 32nd International Conference on Machine Learning (pp. 1511-1520). arXiv:1410.8597.
  • Xu, K. S. (2015), "Stochastic block transition models for dynamic networks", In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (pp. 1079-1087). arXiv:1411.5404.
  • Xu, K. S., & Hero III, A. O. (2014), "Dynamic stochastic blockmodels for time-evolving social networks", IEEE Journal of Selected Topics in Signal Processing, 8(4), 552-562. arXiv:1403.0921.
  • Xu, K. S., Kliger, M., & Hero III, A. O. (2014), "Adaptive evolutionary clustering", Data Mining and Knowledge Discovery, 28(2), 304-336. arXiv:1104.1990.
  • Xu, K. S., Kliger, M., & Hero III, A. O. (2013), "A regularized graph layout framework for dynamic network visualization", Data Mining and Knowledge Discovery, 27(1), 84-116. arXiv:1202.6042.
Last Updated: 4/13/17