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Yu Mi

Cleveland Ohio, US

Phone: xxx-xxx-xxxx

Email: xxx@xxxx.xxx



  • Looking For: research scientist, research engineer

  • Occupation: IT and Math

  • Degree: Doctoral Degree

  • Career Level: Entry Level

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Experiences:

Research Internship 06/23 - 08/23
Nokia Bell Labs, Murray Hill, New Jersey United States
Industry: Information
Developed translation module to emulate any Internet Topology Zoo into Mininet topology  Developed the emulating process for large-scale network experiment, with connection migration and fail-over simulation.  Evaluated the overlay network by emulating and simulating trac with Data Plane Development Kit powered trac generation.  Evaluated the eBPF eciency when updating the records of Internet-accessible address to virtual address mapping, accessed the cause of bottleneck.
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Research Internship 06/22 - 08/22
Nokia Bell Labs, Murray Hill , New Jersey United States
Industry: Information
Developed overlay system in improving mobility fail-over through AF-XDP.  Developed Location provider service which helps update location locations of User Endpoints with low latency.  Evaluated Vector Packet Processor’s packet forwarding eciency to support the software router in further implementation.  Developed the prototype and evaluation of the mobility updating service.
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Research Internship 06/21 - 08/21
Nokia Bell Labs, Murray Hill, New Jersey United States
Industry: Information
Developed system to support mobility service through eBPF and SRv6.  Designed the scheme of distributing Internet-accessible address to virtual address mapping, and its updating mechanism.  Implemented the prototype and evaluation methods for the mobility service.
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Education:

Case Western Reserve University 08/2017 - current
Cleveland, Ohio, United States
Degree: Doctoral Degree
Major:Computer Science
My principal areas of interest lie in Software-Defined Networking, Mobility Networking, and network performance optimization. My work predominantly explores two key research directions. The first concentrates on utilizing Machine Learning techniques to enhance network performance, encompassing areas like network security and network stack tuning. The second research focus revolves around the improvement of network mobility by leveraging in network computing techniques. This is facilitated by the utilization of eBPF and SRv6, which assist in constructing an overlay.


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