Prof. Soumaya Cherkaoui
Professeure titulaire au Département de génie informatique et de génie logiciel, Polytechnique Montréal. Lire la biographie complète, les recherches et les publications…
Personnel
Professeurs
Chercheurs et chercheuses postdoctoraux
Deema H. Tashman, PhD
À propos de moi
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 de la sécurité of wireless communication systems, with a particular emphasis on applying reinforcement learning techniques
Irfan Azam, PhD
À propos de moi
Postdoctoral Fellow at Polytechnique Montréal. Currently investigating novel resource allocation techniques for 6G terrestrial and non-terrestrial networks. My research interests include Non-orthogonal Multiple Access (NOMA), Massive Multiple-Input Multiple-Output (mMIMO), Reconfigurable Intelligent Surfaces (RIS), and Integrated Sensing and Communication (ISAC).
Manobendu Sarker, PhD
À propos de moi
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.
Muddasir Rahim, PhD
À propos de moi
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.
Remon Polus, PhD
À propos de moi
A postdoctoral fellow at Ecole Polytechnique Montreal. My research interests include 5G/6G systems and resource allocations for next generation Non Terrestrial Networks (NTN).
Chercheurs et chercheuses aux cycles supérieurs
Fatemeh Rostamian, MSc
PHD.CANDIDATE
À propos de moi
I am passionate about optimizing network performance and enabling seamless communication for novel services through optimal resource allocation in RAN/ORAN for Beyond 5G et 6G Wireless Networks using Machine Learning techniques.
Hatim Lakhdar, MSc
PHD.CANDIDATE
À propos de moi
As a cybersecurity avec une formation 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.
Keyela Patatchona, MSc
PHD.CANDIDATE
À propos de moi
In my reserach, I have been actively exploring the application of AI in the telecommunications sector. My focus centers on the intelligent optimization de la revue resource allocation in Open Radio Access Networks, employing ML et quantum algorithms.
Melek Krichen, MSc
PHD.CANDIDATE
À propos de moi
In my research, I focus on enhancing anomalies detection in the propagation of 5G network using the Quantum Machine Learning.
Mira Chandra Kirana, MSc
PHD.CANDIDATE
À propos de moi
I thrive to devise novel Artificial Intelligence (AI) techniques for instilling more reliability and self-adaptation of beyond 5G/6G wireless networks.
Mohamed Reza Gerami, MSc
PHD.CANDIDATE
À propos de moi
My work lies at the intersection of cybersecurity et network security, with a current focus on developing cryptographic methods resilient to quantum-era threats.
Samar Abdelghani, MSc
PHD.STUDENT
À propos de moi
My research interests encompass ML, privacy-aware federated learning, et quantum computing. Currently, I’m interested in exploring how quantum computing can be leveraged to enhance distributed learning.
Wajdi Hammami, MSc
PHD.STUDENT
À propos de moi
Je suis cybersecurity specialist with telecommunication background. My research focuses on exploring the world of quantum machine learning to detect network anomalies.
Wissal Hamhoum, MSc
PHD.STUDENT
À propos de moi
Je participe à un projet de recherche captivant où nous exploitons l’apprentissage automatique quantique pour détecter les anomalies du réseau, ouvrant ainsi de nouvelles possibilités pour une sécurité réseau améliorée.
Stagiaires de recherche
Hassib Kevin Ezzedine
À propos de moi
Boursier de l'UPIR de Polytechnique UPIR scholarship pour la recherche en apprentissage automatique. Mon projet de recherche portera sur
Raphael Abderrahmani
À propos de moi
J'étudie actuellement le génie logiciel à Polytechnique Montréal. Mon projet de recherche portera sur la détection des comportements anormaux
Assistante de recherche
Maha Mubarak
À propos de moi
Je poursuis actuellement mon master en génie informatique à Polytechnique MontréalJe suis passionné par la façon dont les télécommunications, l'IoT, le DevOps et le ML peuvent se conjuguer pour créer des systèmes intelligents, sécurisés et fiables.