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Address:

Microsoft Research Ltd

7 JJ Thomson Avenue

Cambridge, CB3 0FB

United Kingdom (office 108)


email: milanv@microsoft.com

Tel. +44 (0) 1223 479 700 

Fax: +44 (0) 1223 479 999

Biography:

Milan Vojnovic is a researcher with systems and networks group at Microsoft Research, Cambridge, United Kingdom. His research interests are in architecture and performance of computer systems with particular interests in mobile systems, information systems, and control of network resources. He received his PhD in technical sciences from EPFL, Switzerland, in 2003, and his MSc and BSc in electrical engineering from the University of Split, Croatia, in 1998 and 1995, respectively. He undertook an internship with Math Center of Bell Laboratories, Murray Hill, New Jersey, in 2001. He received ACM Sigmetrics 05 Best Paper Award (with Laurent Massoulié) for a work on performance of file swarming systems, IEEE Infocom 05 Best Paper Award (with Jean-Yves Le Boudec) for a work on stationarity and perfect simulation of random mobility models, and ITC-17 2001 Best Student Paper Award (with Jean-Yves Le Boudec) for a work on TCP-friendliness of equation-based congestion control. In 2005, he has been awarded ERCIM Cor Baayen Award.

resume


    News

  • Sampling Strategies for Epidemic-Style Information Dissemination, with Varun Gupta, Thomas Karagiannis, and Christos Gkantsidis, accepted at IEEE Infocom 2008 (MSR Tech Rep MSR-TR-2007-82).
    • Notice: This is the technical report version of a paper to be presented at the conference IEEE Infocom 2008, in Phoenix, AZ, on April 15-17, 2008. The paper has attracted some discussion in media following an article published by NewScientist, hence this note. Please note that we are part of the Systems and Networking group at Microsoft Research in Cambridge conducting basic computer science research which covers topics from improving the performance of individual computers to designing novel distributed systems that can scale to hundreds of thousands of hosts. Our focus is fundamental research on improving the efficiency of data distribution of all types across networks, and is not limited to certain scenarios or types of data, but investigating underlying networking techniques. Using understanding from the field of epidemiology is one of the methods that we are investigating in this area, and we hope that our research will help inform future computer science research and networking technology. This project is a basic computer science research, and there are no current plans to incorporate this into Microsoft products.

    Post-doc job opportunities

  • Cambridge Systems and Networking group is seeking for outstanding post-doc job applications. I am in particular interested in algorithm design and analysis in the space of social networking systems such as, for example, information tagging, reputation systems, and various forms of ranking. Please send me your email & resume if you are interested.

    Projects

  • My current research focuses on algorithm design and performance evaluation of computer systems and networks. Particular emphasis is on network design that accounts for human factors such as, for example, social choice in collaborative information systems. The line of research on information dissemination systems includes packet forwarding for mobile systems of human-carried devices and epidemics-style information dissemination.

    Sample publications and preprints

    Professional service

    Tutorials

  • Random Trip Mobility Models, with J.-Y. Le Boudec, ACM Mobicom 06
  • Reactive patching: a viable worm defense strategy? (slides), with A. Ganesh, Performance 05

    Talks

    Teaching

  • Selected topics in computer networking, University of Split, Croatia, Spring 05-07

    Intern projects

  • TagBooster user study, with Fabian Souchanek (Max-Planck fur Informatik) Summer 07
  • Information tagging, with James Cruise (University of Cambridge), Summer 06
  • Sampling strategies for information dissemination, with Varun Gupta (CMU), Summer 06
  • Parallel TCP sockets, with Dhiman Barman (University of Boston) (INRIA intern), Summer 05
  • Planet-scale software updates, with Thomas Karagiannis (UC Riverside; now with Microsoft Research), Summer 05
  • 4CP, with Shao Liu (UIUC; now a post-doc at Princeton), Summer 05
  • Random trip model, with Santashil PalChaudhuri (Rice University) (EPFL intern), Summer 05


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