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Field
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to: Quantum computation (hardware), algorithms, and software – Quantum communication, networks, and cryptography – Quantum metrology, sensing, imaging, and materials.). No limit of projects per Canadian
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master's degree in computer science, mathematics, or related subjects. A solid background in cryptography, algorithms, discrete mathematics, or a related area. Strong analytical and problem-solving skills
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defence of a PhD thesis in the field of Electronics-ICT: Artificial Intelligence. This PhD project focuses on the development of intelligent control algorithms for inland waterway vessels, using machine
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to operate in a scalable and decentralized manner while achieving obstacle avoidance using onboard sensing and adapting to changes in dynamic environments. In parallel to the theoretical and algorithmic
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bugs occurred,(2) auditability, since proofs can be stored and checked by an independent third party, and even (3) rigorous evaluation of algorithmic improvements.For some inspiration on this topic
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surveillance systems. To achieve this goal, we are looking for an enthusiastic PhD researcher who will focus on bringing face-swapping algorithms to off-the-shelf embedded platforms. The work will involve
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; - Development of a simulation module for parcel delivery operations, integrating traditional simulation techniques with Machine Learning models; - Development of algorithms for the integration of Machine Learning
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sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a framework for translating routinely collected monitoring data into actionable
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board
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experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability