Haitham Afifi, M.Sc.

Rechnernetze

Mitglied - Ehemaliger

E-Mail:
haitham.afifi@uni-paderborn.de
Telefon:
+49 5251 60-5373
Web:
Homepage
Büro­anschrift:
Pohlweg 51
33098 Paderborn
Raum:
O3.164
Sprechstunden:

Di. 12:30 - 13:30 Uhr
oder bei Email

Publikationen

Aktuelle Publikationen

Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding

H. Afifi, F.J. Sauer, H. Karl, in: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad, India, 2021.


Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities

H. Afifi, M. Guenther, A. Brendel, H. Karl, W. Kellermann, in: 14. ITG Conference on Speech Communication (ITG 2021), 2021.


Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks

M. Gunther, H. Afifi, A. Brendel, H. Karl, W. Kellermann, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

DOI

Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks

H. Afifi, A. Ramaswamy, H. Karl, in: 2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium), Montreal, Canada, 2021.


A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks

H. Afifi, A. Ramaswamy, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021), 2021.


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Weitere Informationen

Projekts

Currently, I am involved in Project: Acousitic Sensor Networks

Research Area

My current research focuses on wireless networks in the following areas:

  • Network optimization and Resource allocation
  • Wireless Network Virtualization
  • Reinforcement learning
  • Wireless MAC protocols for adhoc networks

Studentische Arbeit und Projekte

Student Thesis: 

  • Bachelor (2017): Topology discovery in wireless ad hoc networks
  • Bachelor (2018): Task Placement in a Wireless Acoustic Sensor Network using a Genetic Algorithms
  • Bachelor (2019): Wireless Virtual Network Embedding using Reinforcement Learning
  • Master (2019): Distributed Virtual Network Embedding for Wireless Multi-Hop Networks

Student Projects:

  • Team project (SS2017): Distributing Acoustic Functions in Wiereless Sensor Networks
  • Team project (SS2018): WiNe for monitoring wireless adhoc networks
  • Team project (WS2019): FISSION --  Failover in wIreleSS dIstributed cOmputiNg

If you are intersted in doing your thesis in wireless related topics, please check the current open thesis or feel free to drop me an Email to discuss your interests.