Theses and Projects: Difference between revisions
Jump to navigation
Jump to search
Line 8: | Line 8: | ||
=== Machine Learning & deep learning on electronic healthcare records=== | === Machine Learning & deep learning on electronic healthcare records=== | ||
* '''New!''' [[Machine learning , deep learning]] In recent years, large amounts of health data, such as patient | * '''New!''' [[Machine learning , deep learning]] 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 de- livery. Please contact [http://www.net.informatik.uni-goettingen.de/?q=people/yachao-shao Yachao Shao] (B/M/P) | ||
=== Multiple Machine Learning Tasks like User Profiling, federated learning, attention learning, privacy, and etc=== | === Multiple Machine Learning Tasks like User Profiling, federated learning, attention learning, privacy, and etc=== |
Revision as of 10:30, 6 November 2019
Open Theses and Student Project Topics
The Computer Networks Group is always looking for motivated students to work on various topics. If you are interested in any of the projects below, or if you have other ideas and are willing to work with us, please don't hesitate to contact us.
- (B) Bachelor thesis
- (M) Master thesis
- (P) Student project
Machine Learning & deep learning on electronic healthcare records
- New! Machine learning , deep learning 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 de- livery. Please contact Yachao Shao (B/M/P)
Multiple Machine Learning Tasks like User Profiling, federated learning, attention learning, privacy, and etc
- New! Multiple machine learning tasks (click the link and see detailed description) Please contact Shichang Ding (B/M/P)
Machine Learning for Security and Privacy in Network (NEW 2019!!!)
- New! QUIC protocol design for 360° video analysis. (B/M/P, at least familiar with one programming language). Please contact Yali Yuan
- New! Implement algorithms for improving the network anomaly detection. (B/M/P, at least familiar with one programming language). Please contact Yali Yuan
- New! Implement algorithms for improving the privacy of vehicle communications. (B/M/P, at least familiar with one programming language). Please contact Yali Yuan
Data mining and Machine learning for User Profiling(all assigned)
- New! Designing and Implementing hundreds of cool mobility-related features for User Profiling (know and can use Python) Please contact [sding@gwdg.de] (B/M/P)
- New! Predicting Fine-grained Regional Economic data based on multiple data sources (B/M/P) Please contact [sding@gwdg.de]]]
- New! Predicting Fine-grained Regional Economic data based on CV (B/M/P) Please contact [sding@gwdg.de]]]
- New!Predicting income based on house price (Python) Please contact [sding@gwdg.de] (B/M/P), assigned to YuFan Dong
QUIC or Multipath QUIC Design
- New! Implement algorithms for improving QUIC or Multipath QUIC performance. (B/M/P, at least familiar with one programming language (eg. C++, go or Python).) Please contact Yali Yuan
Cache Replacement in Mobile Edge Computing
- New! Implement the algorithm for cache replacement in mobile edge computing. (B/M/P, at least familiar with one programming language (eg. C or Python).) Please contact Yali Yuan
- New! HTTP/2 based network performance improvement. (B/M/P, at least familiar with one programming language (eg. C or Python).) Please contact Yali Yuan
Segment Routing based SDN
- NEW! Winter 2018/2019 There are many topics opened for Master and Bachelor theses and projects. Please contact Osamah Barakat
Software Defined Networks (SDN)
- New! Implementing more Gavel application by exploiting Graph algorithms. (B/M/P) Osamah Barakat details
- New! Including a Graph Database engine into an SDN Controller. (B/M/P) Osamah Barakat details
- New! A graph database tuning. (B/M/P) Osamah Barakat details
Data Analysis with Bio data
- NEW! 2019 ' if you are interested in topics in this area please get in contact with Mayutan Arumaithurai
Data Crawling and analysis
- New! Data crawling and analysis of Twitter (P) (Tao Zhao)
Massive Data Mining and Recommender System
- if you are interested in other topics in this area please get in contact with Hong Huang
Social Networking
- New! Goettingen Assistant: Android App Development (assigned) (P) (Shichang Ding)
- Topic prediction in online social networks (B/M/P)(Hong Huang)
- Mining emotion patterns in online social networks (B/M/P)(Hong Huang)
- Mining human mobility pattern from intra-city traffic data (B/M/P) (Shichang Ding)
Ongoing Topics
Topic | Topic advisor | Initial readings | Description | Student |
Bio-Data analysis (Student project) | Mayutan Arumaithurai | Assigned to Lindrit | ||
Sentiment Analysis (Student project) | Hong Huang | Assigned to Beatrice Kateule | ||
Analysis of Business Transitions: A Case Study of Yelp (Bachelor Thesis) | Hong Huang | Assigned to Marcus Thomas Khalil | ||
Understanding Group Patterns in Q&A Services (Bachelor Thesis) | Hong Huang | Assigned to Jonas Koopmann | ||
COPSS-lite : Lightweight ICN Based Pub/Sub for IoT Environments (Master Thesis) | Sripriya | Assigned to Haitao Wang | ||
A ICN Gateway for IoT (Bachelor Thesis) | Sripriya | Assigned to Janosch Ruff |
Completed Topics
Topic | Topic advisor | Initial readings | Description | Student |
Personalized Recommender System Design (Master thesis Project) | Hong Huang | Build a personalized context-aware recommender system for customers according to their own interest. | Completed by Haile Misgna | |
Emotion Patterns Analysis in OSNs (Bachelor thesis Project) | Hong Huang,Xu Chen | We aim to study the emotion patterns in the Twitter service and predict the future emotion status of users. | Completed by Stefan Peters | |
Implementation of a pub/sub system (Student project) | Jiachen Chen Mayutan Arumaithurai | The aim of the work is to show how application layer intelligence cupled with network layer pub/sub can be beneficial to both users as well as network operators | Completed by Sripriya | |
Large Scale Distributed Natural Language Document Generation System (Student project at IBM) | Mayutan Arumaithurai | The work was done at IBM | Completed by Eeran Maiti | |
Investigate real time streaming tools for large scale data processing (Student project) | Mayutan Arumaithurai | The aim of the work is to compare real time streaming tools. | Completed by Ram | |
Software-Defined Networking and Network Operating System (Student project) | Mayutan Arumaithurai | SDN based ntwork operating system | Completed by Rasha | |
GEMSTONE goes Mobile (BSc Thesis/Student Project) | David Koll | Portation of a Decentralized Online Social Network to the Android Platform | Completed by Fabien Mathey and improved by Eeran Maiti | |
Transitioning of Social Graphs between Multiple Online Social Networks (BSc Thesis) | David Koll | Portation of friendship graphs between different Online Social Networks | Completed by Kai-Stephan Jacobsen | |
Prevention and Mitigation of (D)DoS Attacks in Enterprise Environments (BSc Thesis) | David Koll | An analysis of enterprise infrastructures and their vulnerarbility towards attacks from the outside. | Completed by David Kelterer | |
Sybils in Disguise: An Attacker View on OSN-based Sybil Defenses (Student Project and MSc Thesis) | David Koll | An analysis of fake detection approaches in social networks. | Completed by Martin Schwarzmaier | |
Design and Implementation of a distributed OSN on Home Gateways (Student project and Master's Thesis) | David Koll | Completed by Dieter Lechler |
- For a full list of older topics please go here.