networks

Enabling Seamless Connectivity via Virtualization Technologies in 6G Integrated Networks

Sahar Ammar, Ph.D. Student, Electrical and Computer Engineering

May 13, 12:00 - 14:00

B1 R4214

Reinforcement Learning networks Non-Terrestrial Networks Cellular Networks Virtualized Network Function 6g wireless systems machine learning network slicing

This thesis investigates how integrated networks powered by such technologies can be designed and optimized to enable seamless connectivity.

β-contraction: a Framework for Contracting Coloured Networks. Use Cases and Applications

Dr. Elia Onofri, Research fellow, the Institute for Applied Mathematics of the National Research Council of Italy (IAC-CNR).

Apr 18, 15:30 - 16:30

B4 L5 R5220

networks cryptocurrencies

Networks are nowadays pervasive in Big Data. It is often useful to regroup such data in clusters according to distinctive node features and use a representative element for each cluster, hence generating a novel contracted graph that shrank in size.

A clique away from more efficient networks

1 min read · Sun, Jun 14 2020

networks connectivity applied mathematics electrical engineering

An old branch of mathematics finds a fertile new field of application.

Intelligent surfaces signal better coverage

1 min read · Wed, Nov 11 2020

networks connectivity electrical engineering

A mathematical model shows specialized reflective panels could be deployed on a large scale to enhance communication networks in urban areas.

Sahar Ammar

Ph.D. Student, Electrical and Computer Engineering

Optical Wireless Communication Next-generation Wireless Networks Reinforcement Learning networks Non-Terrestrial Networks Cellular Networks Virtualized Network Function 6g wireless systems machine learning network slicing

Sahar Ammar’s research focuses on network slicing in integrated terrestrial and non-terrestrial networks.