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CS790 Technical Writing for Computer Scientists Summer 2007. How to Write Short Project Descriptions Sue Moon KAIST. Resume vs Curriculum Vitae. Resume One or two page summary of your skills, experience and education.
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CS790Technical Writing for Computer ScientistsSummer 2007 How to Write Short Project Descriptions Sue Moon KAIST
Resume vs Curriculum Vitae • Resume • One or two page summary of your skills, experience and education. • A goal of resume writing is to be brief and concise since, at best, the resume reader will spend a minute or so reviewing your qualifications. • Curriculum Vitae (CV) • A longer (two or more pages), more detailed synopsis. • It includes a summary of your educational and academic backgrounds as well as teaching and research experience, publications, presentations, awards, honors, affiliations and other details. http://jobsearch.about.com
Sample Research Statement in CV • I worked on the Multicast-based Inference of Network-internal Characteristics (MINC) project with Ramon Caceres and Nick Duffield. The focus of the project was to infer the network-internal characteristics, such as loss, delay, and link utilization, from measurements taken at the end-systems. My task was to take multicast loss measurements at multiple receivers simultaneously, and analyze them to validate the loss inference algorithm based on the maximum likelihood estimator.
Sample Research Statement in CV • Scalable and secure virtual machine migration project: This project is essentially about how to reduce the bandwidth consumption and the load of the origin server in transferring similar contents (e.g. VM images). I came up with a generic compression tool called CZIP which detects redundant content across files using popular content fingerprinting methods. CZIP allows CZIP-aware servers/clients to cache similar objects based on its content without any support from the underlying systems. More information can be found in our USENIX 2007 paper.
Sample Research Statement in CV • Implemented my TRW scan detection algorithm and tailored it for use in high performance network environments. The TRW scan detection algorithm has been deployed in Mazu’s Profiler product since November 2006. Currently developing a cache structure to improve Profiler’s query performance. Also developing a tool to automatically identify patterns in network data for traffic classification.