Theses and Projects: Difference between revisions

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=== Machine Learning & deep learning on electronic healthcare records===
=== Machine Learning & deep learning on electronic healthcare records===


* '''New!'''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)
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 ===
=== Machine Learning or Deep learning Method (Graph-based) on Recommending system or Network Traffic ===


* '''New!''' 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)
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 ===
===Machine Learning for Security and Privacy in Networks ===
* '''New!''' 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)
==== 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)
* '''New!''' 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]
 
* '''New!''' 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]
==== 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]
* '''New!''' Privacy preservation for federated learning. (B/M/P, at least familiar with one programming language). Please contact Dr. Yali Yuan.
 
==== 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]
 
==== '''New!''' Privacy preservation for federated learning. (B/M/P, at least familiar with one programming language). Please contact Dr. Yali Yuan.
 
 
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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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== Ongoing Topics ==
 
{| align="center" class="wikitable sortable" {{Prettytable}}
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|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''
 


== Completed Topics ==


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* Mining human mobility pattern from intra-city traffic data (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])
* Mining human mobility pattern from intra-city traffic data (B/M/P) ([http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding])


<!--foo
=== 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])
-->
== Ongoing Topics ==


{| align="center" class="wikitable sortable" {{Prettytable}}  
{| align="center" class="wikitable sortable" {{Prettytable}}  
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|-
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== Completed Topics ==
{| align="center" class="wikitable sortable" {{Prettytable}}
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|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''
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| Personalized Recommender System Design  (Master thesis Project)
| Personalized Recommender System Design  (Master thesis Project)
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