I have recently completed my Ph.D. in computer science (computer network performance measurement and analysis) at the University of Wisconsin-Madison, and am on the job market. I am seeking positions in computer networking research and/or development.
My dissertation research has focused on applying machine learning methods to problems in computer network performance measurement and analysis, and has led to significant improvements in accuracy and robustness over prior art.
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Fingerprinting 802.11 Rate Adaptation Algorithms.
Mirza, M., Barford, P., Zhu, X., Banerjee, S., and Blodgett, M.
In IEEE INFOCOM, April 2011.[pdf]
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A Machine Learning Approach to TCP Throughput Prediction.
Mirza, M., Sommers, J., Barford, P., and Zhu, X.
In IEEE/ACM Transactions on Networking, Volume 18, Issue 4, 2010.[pdf]
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On the Accuracy of TCP Throughput Prediction for Opportunistic Wireless Networks.
Mirza, M., Springborn, K., Banerjee, S., Barford, P., Blodgett, M., and Zhu, X.
In IEEE SECON, June 2009.[pdf]
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A Machine Learning Approach to TCP Throughput Prediction
Mirza, M., Sommers, J., Barford, P., and Zhu, X.
In ACM SIGMETRICS, June 2007.[pdf]
PathPerf, an end-to-end tool for predicting TCP throughput using lightweight active measurements and machine learning techniques, freely available for download.
