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Please contact Weijun Wang [weijun.wang@informatik.uni-goettingen.de] (B/M/P)
Please contact Weijun Wang [weijun.wang@informatik.uni-goettingen.de] (B/M/P)
=== Road anomaly and driver behavior detection ===
New! Road situations such as road traffic, roadworks and damages are critical for both human and autonomous driving. For driving (or assisted) with humans, its important to detect how the driver behaves facing dynamic road situations. This project attempts to detect anomalous road situations and driver behaviors with multi-source data mining, fusion and machine learning techniques. We expect you have some data analytics and machine learning background, as well as programming skills like Python.
Please contact Prof. Xiaoming Fu (B/M/P).




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Please contact  Dr.Tingting Yuan [tingting.yuan@cs.uni-goettingen.de ] and Weijun Wang [weijun.wang@informatik.uni-goettingen.de](B/M/P)
Please contact  Dr.Tingting Yuan [tingting.yuan@cs.uni-goettingen.de ] and Weijun Wang [weijun.wang@informatik.uni-goettingen.de](B/M/P)


=== Low Power, Wide Area (LPWA) technologies on smart cities===
* '''New!'''The LoRaWAN specification is a Low Power, Wide Area (LPWA) networking protocol, which is attracting a lot of attention due to their ability to offer affordable connectivity to the low-power devices distributed over very large geographical areas. In this project, we plan to exploit the LoRaWAN technologies to improve the performance of applications in smart cities. More details can be found in this [https://ieeexplore.ieee.org/abstract/document/7815384?casa_token=c3-nAktQO-AAAAAA:EHmi8hFe-HL853Kwq8Kot-mi8KPNSahLRT-4Tp0O8pdaT0mVH_DKUYPGU9onF227eKhpPPyC1436kw link] Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (B/M/P)
=== Machine Learning & deep learning on electronic healthcare records===
In recent years, large amounts of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportunity for knowledge discovery and data mining algorithms to dig insights from them, which can, later on, be helpful to the improvement of the quality of care delivery. This project will be mainly on using machine learning to analyze electronic healthcare dataset.  Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao] (B/M/P)
=== Machine Learning or Deep learning Method (Graph-based) on Recommending system or Network Traffic ===
This project will be provide students an opportunity to learn how to use machine learning or deep learning methods (espeically graph-based DL method) to solve problems in recommending systems or computer networks. The requirements include: 1) like (python) coding; 2) willing to learn DL knowledge; 3) willing to read and learn open source projects;4) Regular meeting and discussion via skype and email. Please contact [sding@cs.uni-goettingen.de Shichang Ding](B/M/P)
=== Machine Learning for Security and Privacy in Networks ===
1) QUIC protocol design for video streaming analysis. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] (Assigned to Yuhan Wang and Pronaya Prosun Das)
2) Implement algorithms for improving the network anomaly detection. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan] ====
3) Implement algorithms for improving the privacy of vehicle communications. (B/M/P, at least familiar with one programming language). Please contact [http://134.76.18.81/?q=people/dr-yali-yuan Yali Yuan]
4) '''New!''' Privacy preservation for reinforcement learning. (B/M/P), at least familiar with one programming language-python. Please contact Dr. Tingting Yuan [tingting.yuan@cs.uni-goettingen.de ].
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=== Information Centric Networking (ICN) ===
* ICN over GTS: exploit Geant Testbed Service to build configurable ICN testbeds (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto])
* ICNProSe: ICN-based Proximity Discovery Services (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto])


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