Prof. Soumaya Cherkaoui

Full professor at the department of computer engineering and software engineering, Polytechnique Montreal. Read more

Post-doctoral Researchers

Deema H. Tashman

A postdoctoral fellow at Polytechnique Montreal, specializing in reinforcement learning, physical layer security, cognitive radio networks, 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




My work focuses on automation of the next generation radio access network (5G and beyond) using Artificial Intelligence  in the Open RAN era

Fatemeh Rostamian


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

Hatim Lakhdar


Cybersecurity scientist specialized in anomaly detection and artificial intelligence, and working on applying quantum machine learning (QML) for securing networks of the future.  I am confident that the QML has the potential to change the world in terms of execution time, learning capacity, efficiency and significantly improve anomaly detection capabilities.

Keyela Patatchona


Ph.D. student with a solid foundation in Probability Theory and Statistics, holding a B.Sc. in Applied Mathematics and Computer Science, as well as an M.Sc. in Probability Theory and Statistics, both awarded with honors. Since 2020, I have been actively exploring the application of artificial intelligence in the telecommunications sector. My research during my Ph.D. in Polytechnique Montreal centers on the intelligent optimization of resource allocation in Open Radio Access Networks, employing machine learning and quantum algorithms.

Melek Krichen


Graduated as a multidisciplinary engineer from Ecole Polytechnique de Tunisie with specialisation in Complex Systems. Currently a PhD student at Polytechnique Montréal, I will be working on anomalies detection in the propagation of 5g network with Quantum Machine Learning.

Mira Chandra Kirana


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

Benjamin Kalfon


Master’s student working on quantum computing and Machine Learning in time series applied to communication networks anomaly detection.

Cyprien Quéméneur STUDENT

I tackle federated learning and computer vision to build efficient and trustworthy autonomous driving systems. Some other areas I am involved with include uncertainty quantification and deep reinforcement learning. I am  passionate about AI and committed to open research.

Wajdi Hammami


I am a cybersecurity specialist  with telecommunication background. Currently, I’m a pursuing a Master’s degree , exploring the world of quantum machine learning to detect network anomalies.

Wissal Hamhoum 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.

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