Glen Takahara

Degrees

B.A.H. (University of British Columbia)

M.S. (Carnegie Mellon University)

Ph.D.(Carnegie Mellon University)

Research Interests

My main areas of interest are in communications, statistics, and applied probability. In communications I am interested in problems ranging from coding and information theory and channel modeling to networking issues such as teletraffic analysis and protocols for traffic management. Currently I am working on problems in all-optical network performance, modulation for non-uniform signaling, non-Gaussian modeling for self-similar packet traffic, development and analysis of quality of service management for internet traffic, and performance bounds for coded modulation systems.

In statistics I am interested in Bayesian methods and applications, orientation data analysis, and functional data. Currently I am working on problems in nonparametric Bayesian inference, design of calibration experiments for orientation data, and functional discriminant analysis.

In applied probability I am interested mainly in queueing models for communications networks and asymptotic analyses. Currently I am working on network models for customer retrials, large capacity network models for analysis of routing and connection-admission protocols, and algorithms for efficient computations on networks. I am also currently interested in bounds for the probability of finite unions of events.