Multivariate Analysis, Machine Learning, Visualization, Graph Drawing, Bioinformatics, Applied Probability, Performance Analysis of Stochastic Processing Networks, Internet Tomography, Combinatorial and Global Optimization
Statistics 430
Statistics 503
Graduate Ph.D. Advisor
Education
B.S. Economics, University of Athens, 1987
M.A. Economics, University of California at Los Angeles, 1990
M.A. Mathematics, University of California at Los Angeles, 1991
Ph.D Mathematics, University of California at Los Angeles, 1996
Singhal, H. and Michailidis, G. (2007), Identifiability of flow distributions from link measurements with applications to computer networks, Inverse Problems 23, 1821-1849
Culp, M. and Michailidis, G. (2007), Graph Based Semi-Supervised Learning, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence
Hung, Y.C. and Michailidis, G. (2007), Modeling, Scheduling and Simulation of Switched Processing Systems, to appear in ACM Transactions on Modeling, Analysis and Computer Simulation
Xi, B., Michailidis, G. and Nair, V.N. (2006), Estimating Network Loss Rates using Active Tomography, Journal of the American Statistical Association 101, 1430-1448
Bambos N. & Michailidis G. (2004) Queueing and Scheduling in Random Environments. Advances in Applied Probability 45, 293-317