Invited Talk: Opportunities and Applications of Quantum Information Science Research in Computing, Communications, and AI By Dr. Mahdi Chehimi

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Invited Talk: Opportunities and Applications of Quantum Information Science Research in Computing, Communications, and AI
By Dr. Mahdi Chehimi

📅 Date: Tuesday, June 17th, 2025.
🕐 Time: 03:00 PM (Eastern)
📍 Location: SEB 3109, Spencer Engineering Building, Western University, London, <a href="http://Ontario.

Abstract:

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Abstract:

Quantum computing and the future quantum Internet (QI) will transform today’s communication networks and user experiences by providing unparalleled security levels, superior quantum computational powers, along with enhanced sensing accuracy and machine learning data processing capabilities. These features will be enabled through various quantum information science applications, like quantum key distribution, quantum machine learning, and distributed quantum computing. Towards enabling these applications, the QI requires the development of global quantum communication networks (QCNs) that enable the distribution of quantum information between distant nodes. In this talk, we will explore the fundamentals of quantum information sciences, their importance, future, and applications in computing, communications, and AI. Additionally, you will be introduced to the recent efforts and available studying and research opportunities in the different quantum fields (both Research, MS, and PhD opportunities) in my research group at the American University of Beirut (AUB).

Bio: 
Mahdi Chehimi received his PhD from the Bradley Department of Electrical and Computer Engineering at Virginia Tech in 2024. He is now an assistant professor at the American University of Beirut (AUB) and his research interests include quantum communications, quantum networking, and quantum machine learning (QML). Mahdi received the best paper award at the 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) for his work on the scalability of quantum repeater networks. His seminal work on quantum federated learning (QFL) introduced its inaugural framework using quantum data, which pioneered one of the first open-source quantum federated datasets in literature. In 2022, Mahdi was a visiting scholar in the ACQuIRe Lab at the University of Massachusetts Amherst. In addition, Mahdi held a research stay in the summer of 2023 as a quantum scientist at Ingenii Inc., where his work focused on practical QML applications in drug discovery and medical imaging. Mahdi led the first Quantum Information Summit in Lebanon, held at AUB in 2023, and is organizing Lebanon’s first quantum hackathon at AUB in 2025. He organized and served as a technical program committee member in multiple QML workshops and tutorials at flagship IEEE conferences, and is a frequent reviewer at several IEEE journals. Mahdi is a Quantum Formalism fellow by Zaiku Group in the United Kingdom, where he received multiple grants to support his research on distributed QML applications and <a href="http://QFL.

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Co-sponsored by:
The Optimized Computing and Communications (OC2) Lab at Western <a href="http://University.

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Room: SEB 3109, Bldg: Spencer Engineering Building, Western University, 151 Richmond St., London, Ontario, Canada, N6A 3K7