2018 Summer School on “Fog Computing”

ON2018-10-15文章来源 8040comCATEGORY活动

2018 Summer School on“Fog Computing”will be held in Shanghai,on ShanghaiTech University campus, from June 26 to 29, 2018. The goal of this summer school is to bring together the world-class researchers in Fog Computing with undergraduate, graduate students and interested researchers from academia and engineers from industry, to educate the audience on both basics and recent advancements in Fog Computing overview, IoT, Optimization, Big Data, and Deep Learning, and to encourage collaborations on related topics. This summer school would also include a 24 hours’hackathon after the two-days’classes on Fog Computing, to encourage the students gather to collaborate and challenge themselves to build a project about Fog Computing from start to finish. It is an invaluable opportunity for the participants to gain coding experience, learn fog computing, and win awesomeprizes.

The Summer School is organizedby:

Shanghai Institute of Fog Computing Technology(SHIFT)

OpenFog Consortium Greater ChinaRegion

And sponsoredby:

IEEE CommunicationsSociety

OpenFogConsortium

ShanghaiTechUniversity

Hackathon

Fog Enabling IntelligentIoT

First prize (1team):US$5000

Second prize (1team):US$1000

Highlights

a. Comprehensive Tutorials onFog, IoT, Learning, andOptimization

b.Freeregistration

c.Complimentarybanquet, meals, and coffee breaksd.Reimbursements to 6 teams participating in Fog Hackathon (Per-student, only for IEEE ComSoc studentmembers)

Students fromShanghai:US$80

Students from other mainland China:US$220(lodging) +US$80(travel)

Other students:US$220(lodging) +US$250(travel)

e.Certificates issuedby

IEEE CommunicationsSociety

OpenFogConsortium

Dates andLocation

a.RegistrationDeadline


Students from China mainland:May 15,2018

Other students:April 30,2018



b.Dates:June 26-29,2018

c.Location: ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai,201210


For more information, please check:http://shift.shanghaitech.edu.cn/summerschool2018/

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