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|time=Oct 24'''''', 13:00ct: Introduction Meeting | |time=Oct 24'''''', 13:00ct: Introduction Meeting | ||
|place=IFI Building, Room 2.101 | |place=IFI Building, Room 2.101 | ||
|univz=[] | |univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=242639&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung] | ||
}} | }} | ||
{{Announcement|Note: | {{Announcement|Note: | ||
}} | |||
==Course description== | ==Course description== | ||
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==Schedule== | ==Schedule== | ||
* ''' | * '''Decemeber 30th, 2019 ''' : Deadline for registration | ||
* '''Jan. 6 (13:00-16:00) and Jan. 7 2020 (13:00-16:00)''' : Final Presentations at '''IFI Building Room 1.101''' | |||
* '''Jan. 13 and Jan. | * '''May. 5, 2020, 23:59''': Deadline for submission of report (should be sent to the topic adviser!) Follow this deadline instead of another one in Flex now | ||
* ''' | |||
== Topics == | == Topics == | ||
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|{{Hl2}} |'''Initial Readings''' | |{{Hl2}} |'''Initial Readings''' | ||
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| Visible Light Communications: Principles, Standardization and Applications (assigned) | |||
| Visible Light Communications: Principles, Standardization and Applications | |||
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| [Xiaoming, xfu@gwdg.de] | | [Xiaoming, xfu@gwdg.de] | ||
|- | |- | ||
| | | Objects detection in Autonomous driving (assigned) | ||
| | | Analysis the autonomous driving dataset by some machine learning methods. | ||
| | | Basic programming knowledge, Basic machine learning knowledge | ||
| [ | | [Yali Yuan, yali.yuan@cs.uni-goettingen.de] | ||
| [http://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Multi-Task_Multi-Sensor_Fusion_for_3D_Object_Detection_CVPR_2019_paper.pdf] | |||
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| A survey of advanced protocols for network communications (assigned) | |||
| Recent advanced network protocols, like QUIC, HTTP 3.0, are popular. The student is required to make a survey of the recent researches. | |||
| Basic knowledge of computer networks | |||
| [Yali Yuan, yali.yuan@cs.uni-goettingen.de] | |||
| [https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8786240] | |||
|- | |||
|- | |- | ||
| | | Smart Cities: Principles, Case Studies and Prospects in EU and Worldwide (assigned) | ||
| | | In this project, you will be devoted to solving specific prediction problems based on the given data. These tasks nowadays are common concerns for building smart cities in practice. Just enjoy the interaction with real-world data! | ||
| | | Since we will solve some practical problems based on data engineering, I think a strong programming ability is necessary. Python as well as Keras or Tensowflow or PyTorch are always preferred. Don't hesitate to contact me if you feel interested and have preliminary knowledge in related projects. Let's work together! | ||
| [ | | [Shuai Xu, shuai.xu@cs.uni-goettingen.de] | ||
| [http://www.public.asu.edu/~swang187/publications/VPOI.pdf],[https://arxiv.org/abs/1809.10770],[https://arxiv.org/abs/1811.02815],[https://arxiv.org/abs/1904.10322],[https://core.ac.uk/download/pdf/155789835.pdf] | |||
|- | |- | ||
| Smart | | Smart Grids: Principles, Case Studies and Prospects in EU and Worldwide (assigned) | ||
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| | | | ||
| [ | | [Jiaquan Zhang, jzhang@cs.uni-goettingen.de] | ||
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|- | |- | ||
| | | Business Intelligence: Principles, Case Studies and Prospects(assigned) | ||
| | | | ||
| | | | ||
| [ | | [Yachao Shao, yshao@gwdg.de] | ||
|- | |- | ||
| | | A survey of Blockchain solutions from an Industry point of view (Already ASSIGNED) | ||
| | | | ||
| [ | | The student should take into consideration some of the popular blockchain solutions and identify which of these is preferred by the industry and why? | ||
| [http://www.net.informatik.uni-goettingen.de/?q=people/dr-mayutan-arumaithurai Mayutan] | |||
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|- | |- | ||
| | | Facial Recognition at Edge: Principles, Applications and Challenges (assigned) | ||
| | | In this topic, you will perform a detailed research about the face recognition technology along with its applications and challenges at the Edge. A basic understanding of these topics and machine learning is expected to select this topic. | ||
| | | The student should perform a detailed study of the current advancements in the Facial Recognition at Edge | ||
| [ | | [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao] | ||
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|- | |- | ||
| | | Approximation algorithmns for the set cover problem (assigned) | ||
| | | In this topic, you will learn what is approximation algorithm. Approximation algorithm is essential to solve many optimization problems in computer network area. We will focus on the set cover problem. | ||
| | | The student should know the basic theory of linear programming. | ||
| [ | | [Bangbang Ren,renbangbang94@163.com] | ||
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|- | |- | ||
|} | |} |
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