Deemah Tashman

Journal Paper Published in IEEE Systems Journal

Deemah’s journal paper published in IEEE Systems Journal Deemah Tashman, Postdoctoral fellow at Polytechnique Montreal and a member of Lincs lab, has her journal paper: Optimizing Cognitive Networks: Reinforcement Learning Meets Energy Harvesting Over Cascaded Channels published in IEEE Systems Journal, with the collaboration of Soumaya Cherkaoui and Walaa Hamouda.  This article presents a reinforcement […]

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Journal Paper Published in IEEE Transactions on Cognitive Communications and Networking

Deemah’s journal paper published in IEEE Transactions on Cognitive Communications and Networking Deemah Tashman, Postdoctoral fellow at Polytechnique Montreal and a member of Lincs lab, has her journal paper: Maximizing Reliability in Overlay Radio Networks With Time Switching and Power Splitting Energy Harvesting  published in IEEE Transactions on Cognitive Communications and Networking, with the collaboration

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Best Paper Award in ICCSPA’24

Best Paper Award in ICCSPA’24   Deemah H. Tashman, who is currently pursuing a postdoctoral fellowship in the Department of Computer and Software Engineering at Polytechnique Montréal, received the “Best Paper Award” at ICCSPA 2024, held in Istanbul, Turkey, in July 2024. The award-winning paper, titled “Securing Cognitive IoT Networks: Reinforcement Learning for Adaptive Physical

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2023 Upper Bound Talent Bursary Accepted

2023 Upper Bound Talent Bursary Accepted Postdoctoral fellow-Deemah Tashman- received the Upper Bound bursary to attend the conference in Alberta. One of Canada’s three centres of AI excellence in the Pan-Canadian AI Strategy, Amii (the Alberta Machine Intelligence Institute) is an Alberta-based non-profit institute that supports world-leading research in artificial intelligence and machine learning and

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