Prof. Soumaya Cherkaoui
Full professor at the department of computer engineering and software engineering, Polytechnique Montréal. Read full biography, research and publications…
Full professor at the department of computer engineering and software engineering, Polytechnique Montréal. Read full biography, research and publications…

A postdoctoral fellow at Polytechnique Montreal, specializing in reinforcement learning, physical layer security, cognitive radio networks (CRN), and energy harvesting.
My research focuses on developing novel approaches and algorithms to enhance the performance and security of wireless communication systems, with a particular emphasis on applying reinforcement learning techniques

A Postdoctoral Research Fellow at Polytechnique Montréal with a research focus on developing scalable, interference-aware, and computationally efficient resource allocation strategies for next-generation wireless networks.

Postdoctoral Fellow at École Polytechnique Montréal, focusing on efficient resource allocation for intelligent reconfigurable surface-assisted integrated terrestrial and non-terrestrial networks. My broader research interests include Cognitive Radio Networks (CRN), Device-to-Device (D2D) communication, Wireless Sensor Networks (WSN), Industrial IoT, coexistence of enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC), Intelligent Reconfigurable Surfaces (IRSs), Matching Theory, and Terahertz (THz) communications.

A postdoctoral fellow at Ecole Polytechnique Montreal. My research interests include 5G/6G systems and resource allocations for next generation Non Terrestrial Networks (NTN).

PHD.CANDIDATE
I am passionate about optimizing network performance and enabling seamless communication for novel services through optimal resource allocation in RAN/ORAN for Beyond 5G and 6G Wireless Networks using Machine Learning techniques.

PHD.CANDIDATE
As a cybersecurity scientist specialized in anomaly detection and AI, I’m intesrested in exploring Quantum ML for securing networks of the future, and levereging its potential in terms of execution time, learning capacity, efficiency and significantly improve anomaly detection capabilities.

PHD.CANDIDATE
In my reserach, I have been actively exploring the application of AI in the telecommunications sector. My focus centers on the intelligent optimization of resource allocation in Open Radio Access Networks, employing ML and quantum algorithms.

PHD.CANDIDATE
In my research, I focus on enhancing anomalies detection in the propagation of 5G network using the Quantum Machine Learning.

PHD.STUDENT
I thrive to devise novel Artificial Intelligence (AI) techniques for instilling more reliability and self-adaptation of beyond 5G/6G wireless networks.

PHD.CANDIDATE
My work lies at the intersection of cybersecurity and network security, with a current focus on developing cryptographic methods resilient to quantum-era threats.

PHD.STUDENT
My research interests encompass ML, privacy-aware federated learning, and quantum computing. Currently, I’m interested in exploring how quantum computing can be leveraged to enhance distributed learning.

PHD.STUDENT
I am a cybersecurity specialist with telecommunication background. My research foucses on exploring the world of quantum machine learning to detect network anomalies.

PHD.STUDENT
I am engaged in a captivating research project where we leverage quantum machine learning to detect network anomalies, unlocking new possibilities for enhanced network security.

Recipient of the Polytechnique UPIR scholarship for research in ML. My research project will focus on fine tuning Vehicular Networks misbehavior detection.

Currently studying software engineering at Polytechnique Montréal. My research project will focus on detecting misbehaviour in Vehicular Networks.

Currently pursuing my MSc in computer engineering at Polytechnique Montréal. I’m passionate about how telecommunications, IoTs, DevOps, and ML can come together to create intelligent, secure, and reliable systems.