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), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise
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others (but not limited to): Computer Organization and Architecture, Data Structures and Algorithms, Computer Programming for Engineers, Object Oriented Programming, Digital Logic and Advanced Digital
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innovative ML/AI algorithms for time series with chaotic shocks and contribute to the team’s research on autonomous vehicle security. Applicants must have a Ph.D. degree (or equivalent) in applied mathematics
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algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained embedded AI/ML systems like autonomous vehicles, UAVs, Robotics, smart
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workers, delivery systems, and collaborative autonomous agents as well as focus on medical applications. Active research areas include distributed mapping and localization for autonomous agents, cooperative
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on innovative AI methodologies in areas such as renewable energy integration (online forecasting tools and renewable energy management systems), smart transmission and distribution networks, AI-driven smart grid