Join us for a virtual lecture by Dr. Mark Rodwell TeraHertz Communications and Sensing.We describe the opportunities, and the research challenges, presented in the development of 100-300GHz wireless communications and imaging systems. In such links, short wavelengths permit massive spatial multiplexing both for network nodes and point-point links, permitting aggregate transmission capacities approaching 1Tb/s. 100-300GHz radar imaging systems can provide thousands of image pixels and sub-degree angular resolution from small apertures, supporting foul-weather driving and aviation. Challenges include the mm-wave IC designs, the physical design of the front-end modules, the complexity of the back-end digital beamformer required for spatial multiplexing, and, for imaging, the development of system architectures requiring far fewer RF channels than the number of image pixels. We will describe transistor development, IC design, and system design, and describe our efforts to develop 140GHz massive MIMO wireless hubs, and 210GHz and 280GHz MIMO backhaul links.Speaker(s): Mark Rodwell, Virtual: https://events.vtools.ieee.org/m/419454

AI-Assisted Tutoring represents a transformative approach to education in Science, Technology, Engineering, and Mathematics (STEM) fields. This innovative educational model integrates artificial intelligence (AI) technologies to create personalized learning experiences, addressing the unique needs and learning styles of each student. The core of AI-assisted tutoring lies in its ability to analyze vast amounts of data, including student performance metrics, learning preferences, and engagement levels, to tailor educational content and methodologies.The system employs algorithms and machine learning techniques to identify knowledge gaps, predict learning outcomes, and adapt instructional strategies in real-time. This dynamic approach ensures that students receive targeted support in areas where they need it most, promoting deeper understanding and retention of complex STEM concepts. Moreover, AI-assisted tutoring can simulate one-on-one interaction, providing immediate feedback and guidance, thereby fostering a supportive and responsive learning environment.The integration of AI in STEM education has the potential to revolutionize traditional teaching paradigms by making learning more accessible, efficient, and effective. It can bridge educational gaps, enhance student performance, and inspire a generation of learners to excel in STEM disciplines. This abstract explores the potential of AI-assisted tutoring to transform STEM education, highlighting its benefits, challenges, and future prospects in nurturing the next wave of innovators and problem-solvers.[]Speaker(s): Gilbert M Orcella, Agenda: 5:30 pm - 5:35 pm - Introduction5:35 pm - 6:30 pm - Presentation6:30 pm - 7:00 pm - Questions and AnswersVirtual: https://events.vtools.ieee.org/m/415849