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advance the development of in the broad areas of emerging memory materials and devices, including post silicon MOSFET-based computing such as analog in-memory-computing or 2D-material based FETs, MEMS
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and meteoritic materials as a result of space weathering and other alteration processes, and/or the weathering of Venus surface analogs under simulated atmospheric conditions. Experience in
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through transdisciplinary research, teaching, and outreach. We integrate analog and digital knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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Summary By exploiting recently discovered analogies between acoustics, nonlinear waves, and quantum mechanics, this research will create the foundations for a path to promising and validating modes
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electronics, information systems, computer architecture, analog and mixed signals circuits, biomedical imaging, and photonics and semiconductors, with ML/AI infused in several of these research areas. Situated