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M.S./Ph.D. Candidate b o u l a t @c s
. u m a s s . e d u |
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B. A. Economics, Computer Science - Dartmouth College 2001 Research Interests: Cooperative wireless networks, distributed algorithms for routing in mobile ad-hoc wireless networks, data management in sensor networks, implementation aspects of network algorithms, distributed computational geometry Current work: Research Assistant in Advanced Computer Networking Group Advisors: Jim Kurose and Don Towsley Previous work: From March 2004 until August 2005 I was a Research Associate in the Web, Internet and Networking Group at Boston University Computer Science Department under the supervision of John W. Byers Publications: Exact Distributed Voronoi Cell Computation in Sensor
Networks, Approximately Uniform Random
Sampling in Sensor Networks, Talks: "Approximately Uniform Random Sampling in Sensor Networks"
ResearchI am primarily interested in designing, analyzing, and implementing practical algorithms for ad-hoc, sensor, and peer-to-peer networks. I am currently working on improving multicast routing in mobile ad hoc wireless networks, as well as enhancing our approximately uniform random sampling approach for sensor networks. My theoretical interest in distributed computational geometry is leading me to consider known problems like Voronoi diagram computation and determination of nodes on the convex hull of the network in the realm of energy-constrained limited-range lossy wireless networks. I have also helped to develop SENS: Simple Extensible Network Simulator and continually work on improving it. reading list for CBMANET project Internet Path Failures Study for CMPSCI677 Previous lifeMy main research effort during and immediately after college was in financial economics. The empirical studies which I carried out required efficient design and implementation of data analysis algorithms and dealing with gargantuan data sets. While working as a research assistant for Prof. Kent Womack at the Tuck School of Business at Dartmouth College, I was interested in market microstructure-based long-term initial public offering (IPO) returns predictors. In other words, I looked at sequences of trades on stock exchange and tried to forecast returns of IPOs. This work resulted in an SSRN working paper. When I joined Quantitative Strategies Group in Investment Management Division at Goldman, Sachs & Co. as an analyst, I conducted research into risk factors in long-short portfolios and took major role in managing an experimental long-short strategy. I left financial economics because it primary focuses on explaining various existing phenomena and finding ways to back up these explanations with clever manipulation of (usually) noisy data. But I longed to invent solutions to problems. I saw only a limited opportunity to do this in economics. Publication Boulat A. Bash, DownloadsTAQAccess is a tool to extract NYSE Transactions and Quotes data into data structures convenient for analysis. It works on all TAQ database CDs/DVDs from its inception in 1993 to present. The source includes examples of using the data structures. Stable version. [taz] [zip] Excel models developed for Tuck core MBA capital markets class: BondBuilder [xls], FrontierBuilder [xls], and BetaBuilder [xls]. PersonalI am fond of watching baseball, and am a big fan of the Boston Red Sox. The listing of the Red Sox (and their minor league affiliates) games that I saw in person can be found here. Here are a couple of other Red Sox and baseball resources:
My other hobbies include cross-country skiing, running, swimming, listening to heavy metal, and reading about military history. I also help out Green Decade Coalition/Newton with web work whenever I can. |
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