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* Present the selected topic (20 min. presentation + 10 min. Q&A).
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.
* Please check the [[#Schedule]] and adhere to it.
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==Schedule==
==Schedule==
* '''Oct. 19, 16:00ct''': Introduction meeting  
* '''Oct. 19, 16:00ct''': Introduction meeting  
* '''TBD''' : Deadline for registration
* '''Jan. 11''' : Deadline for registration
* '''TBD''' : Presentations
* '''Jan. 18 and Jan. 19''' : Presentations
* '''Mar. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)
* '''Mar. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)


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| [http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html]
| [http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html]
|-
|-
| '''A survey of clustering algorithms'''
| '''A survey of clustering algorithms (assigned)'''
Clustering is the unsupervised learning algorithm which groups unlabeled data into similar sub-groups. The clustering problem has been addressed in many contexts (social network, structure biological network ..). In this topic, we review and compare different approach address this problem. There are two main “small topics”:
Clustering is the unsupervised learning algorithm which groups unlabeled data into similar sub-groups. The clustering problem has been addressed in many contexts (social network, structure biological network ..). In this topic, we review and compare different approach address this problem. There are two main “small topics”:
a, Non-model based algorithms: Kmeans, spectral clustering, DBSCAN ..
a, Non-model based algorithms: Kmeans, spectral clustering, DBSCAN ..
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| [https://arxiv.org/abs/1402.4645]
| [https://arxiv.org/abs/1402.4645]
|-
|-
| '''A Survey on Multi-view Learning'''
| '''A Survey on Multi-view Learning (Assigned to Oleh Astappiev)'''
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple sources or different feature subsets. In this work, this task is to survey a number of representative multi-view learning algorithms in different areas and organize and highlight similarities and differences between the variety of multi-view learning approaches. Note that this topic requires a comparatively high reading effort.
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple sources or different feature subsets. In this work, this task is to survey a number of representative multi-view learning algorithms in different areas and organize and highlight similarities and differences between the variety of multi-view learning approaches. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
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|[http://www.plattform-i40.de/I40/Navigation/DE/Home/home.html][https://en.wikipedia.org/wiki/Industry_4.0][https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html]
|[http://www.plattform-i40.de/I40/Navigation/DE/Home/home.html][https://en.wikipedia.org/wiki/Industry_4.0][https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html]
|-
|-
| '''Segment Routing - a Survey'''   
| '''Segment Routing - a Survey (assigned to Albert Demba )'''   
Segment Routing or SPRING project is getting more attention to the advantages that it promised to deliver. Initial demos on top of MPLS and IPv6 show big impact on terms  of  scalability, simplicity and performance. You should concentrate on SRv6 and SDN integration.   
Segment Routing or SPRING project is getting more attention to the advantages that it promised to deliver. Initial demos on top of MPLS and IPv6 show big impact on terms  of  scalability, simplicity and performance. You should concentrate on SRv6 and SDN integration.   
'''NOTE:'''This topic could be a good entry for master project and thesis later.  
'''NOTE:'''This topic could be a good entry for master project and thesis later.  
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|[http://www.segment-routing.net/][https://www.youtube.com/watch?v=BEo5MdB3o3Y][http://ieeexplore.ieee.org/abstract/document/7417124/]
|[http://www.segment-routing.net/][https://www.youtube.com/watch?v=BEo5MdB3o3Y][http://ieeexplore.ieee.org/abstract/document/7417124/]
|-
|-
| '''Open Topic'''   
| '''Open Topic (assigned to iman alobaidi) '''   
This is one slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in the course in the last two years and related some how to the computer networks. To win with this slot, simply write me a short description of the technology and state three main references which you will use later for research.     
This is one slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in the course in the last two years and related some how to the computer networks. To win with this slot, simply write me a short description of the technology and state three main references which you will use later for research.     
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
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|[http://ieeexplore.ieee.org/abstract/document/7547948/]
|[http://ieeexplore.ieee.org/abstract/document/7547948/]
|-
|-
| '''Towards SDN and NFV Fault Management and High Availability'''
| '''Towards SDN and NFV Fault Management and High Availability (assigned to Hesham Hosney) '''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.  
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.  


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| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf]  [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf]  [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-
|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives'''
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives (assigned to Gulzaib Amjad)'''


Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.
Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.
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| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
|-
|-
| '''Online Convex Optimization Algorithms for Machine learning'''
| '''Online Convex Optimization Algorithms for Machine learning (assigned to Jihan Munkar)'''
Machine learning is a current buzz word in both industry and academia. The goal of this topic is to perform survey of online convex optimization algorithms used in machine learning. The goal is to present at least two usecases describing (at high level) usage of online convex optimization framework.
Machine learning is a current buzz word in both industry and academia. The goal of this topic is to perform survey of online convex optimization algorithms used in machine learning. The goal is to present at least two usecases describing (at high level) usage of online convex optimization framework.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
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| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6913491] [https://perso.telecom-paristech.fr/~drossi/paper/icn_das_techrep.pdf] [https://www-users.cs.umn.edu/~viadhi/netflix.pdf]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6913491] [https://perso.telecom-paristech.fr/~drossi/paper/icn_das_techrep.pdf] [https://www-users.cs.umn.edu/~viadhi/netflix.pdf]
|-
|-
| '''D2D Proximity Services'''   
| '''D2D Proximity Services'''  (Assigned to: hamid reza Karimian)
Sometimes referred as "digital sixth sense", Device-to-device (D2D) proximity discovery enables spectral reuse via D2D communications as well as a range of innovative proximity services, such as enhanced social networking and location services, thus helping in the offload of local data transmission. The study involves analyzing the actual and experimental technological solutions that enables the proximity services and the underlying communication protocols.
Sometimes referred as "digital sixth sense", Device-to-device (D2D) proximity discovery enables spectral reuse via D2D communications as well as a range of innovative proximity services, such as enhanced social networking and location services, thus helping in the offload of local data transmission. The study involves analyzing the actual and experimental technological solutions that enables the proximity services and the underlying communication protocols.
'''NOTE:'''This topic could be a good entry for [https://wiki.net.informatik.uni-goettingen.de/wiki/Theses_and_Projects master project and thesis].  
'''NOTE:'''This topic could be a good entry for [https://wiki.net.informatik.uni-goettingen.de/wiki/Theses_and_Projects master project and thesis].  
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| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6807945] [https://www.qualcomm.com/invention/research/projects/lte-direct] [https://www.wi-fi.org/discover-wi-fi/wi-fi-aware]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6807945] [https://www.qualcomm.com/invention/research/projects/lte-direct] [https://www.wi-fi.org/discover-wi-fi/wi-fi-aware]
|-
|-
| '''360-degree Videos & Virtual Reality'''   
| '''360-degree Videos & Virtual Reality'''   (Assigned to: Masih Ghaderi)
360-degree videos are video recordings where a view in every direction is recorded at the same time, shot using an omnidirectional camera or a collection of cameras. During playback the viewer has control of the viewing direction like a panorama. They are often associated with VR (Virtual Reality), where a person using special equipment is able to "look around" in an artificial world. This task consists in study the actual solutions and protocols that enables the transmission of 360-degree videos, highlighting the challenges related to an efficient transmission of the video stream.
360-degree videos are video recordings where a view in every direction is recorded at the same time, shot using an omnidirectional camera or a collection of cameras. During playback the viewer has control of the viewing direction like a panorama. They are often associated with VR (Virtual Reality), where a person using special equipment is able to "look around" in an artificial world. This task consists in study the actual solutions and protocols that enables the transmission of 360-degree videos, highlighting the challenges related to an efficient transmission of the video stream.
'''NOTE: possiblity to extend the work for master project or thesis.
'''NOTE: possiblity to extend the work for master project or thesis.
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