NEC, en su programa NLE de I + D , tiene como objetivo cumplir su visión para el 2017 "ser una empresa líder a nivel mundial aprovechando el poder de la innovación para realizar una sociedad de la información amigable para los seres humanos y la tierra”.
Líneas de investigación:
- Network Platform
- Network Softwarization
- 5G Networks
- Network Data Analytics
- Social Solutions
- Security
- Smart Sensing
- Smart Transportation
- Smart Energy
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Para el 2016, NEC ofrece programas de intercambios para estudiantes de pregrado y maestría relacionados con las líneas de investigación trabajadas por ellos, los programas son:
Internship on Cooperative Motion Planning
The internship includes the following work items:
- Understand existing techniques for Cooperative Motion Planning for autonomous Vehicle based on Artificial Intelligence and Machine Learning.
- Design algorithm enhancements in the area of cooperative automated driving with our team.
- Validate algorithms and models via simulations and/or implementation in real environment.
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Internship on Microserver Networking and Virtualization
The internship includes the following work items:
- Benchmarking the network performance of different kinds of micro-servers (ARM, MIPS64 and x86-based).
- Investigating the ability to run virtualization technologies on them
- Evaluating the performance of the micro-servers when running virtualized network processing
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Internship on Network Functions Virtualization with specialized VMs
The internship includes the following work items:
- Studying and exploring specialized VMs with KVM
- Deploying, implementing NFV appliances on KVM
- Evaluating these NFV appliances
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Internship or Master Thesis on Data Science
The internship includes the following work items:
- Develop machine learning and statistical methods for data and text analysis.
- Implement and benchmark the developed analytical models.
- Contribute to industrial applications.
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Internship or Master Thesis on Orchestrating of NFV Infrastructure failures
The internship includes the following work items:
- Analysis of current state of the art
- Definition of relevant use cases
- Development of a platform to orchestrate the recovery of
- VNFs affected by an infrastructure failure
- Optimization of failure detection and recovery mechanisms
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