IEEE Region 5

The (https://2024.otcnet.org/)is where the world's energy professionals meet to exchange ideas and opinions to advance scientific and technical knowledge for offshore resources and environmental matters. Over 31,000 plus energy professionals attend this event. The Houston IEEE OES chapter is looking for volunteers to help represent our booth at the OTC 2024 (event held from May 6th through 9th)! We are calling for all of our society members to come out and take this opportunity to meet our local and national level officers and network with other professional members in the industry. This is a perfect opportunity specially helpful for students and young professionals! We will also conduct a tour for students on May 8th. Please let us know if you are interested in helping with the student tour. If you are interested please register electronically through this page and select which day you would be available to volunteer (under "Menu Selection" in the registration page). Thanks and I hope to see you at the OTC24! Co-sponsored by: Houston Section Agenda: (Under "Menu Selection " on the registration page) Room: OES Booth S5, Bldg: NRG Park, 1 NRG Pkwy, (NRG Arena), Houston, Texas, United States, 77054

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 - Introduction 5:35 pm - 6:30 pm - Presentation 6:30 pm - 7:00 pm - Questions and Answers Virtual: https://events.vtools.ieee.org/m/415849

Although unique potentials of terahertz waves for chemical identification, material characterization, biological sensing, and medical imaging have been recognized for quite a while, the relatively poor performance, higher costs, and bulky nature of current terahertz systems continue to impede their deployment in field settings. In this talk, I will describe some of our recent results on developing fundamentally new terahertz electronic/optoelectronic components and imaging/spectrometry architectures to mitigate performance limitations of existing terahertz systems. In specific, I will introduce new designs of high-performance photoconductive terahertz sources that utilize plasmonic nanoantennas to offer terahertz radiation at record-high power levels of several milliwatts – demonstrating more than three orders of magnitude increase compared to the state of the art. I will describe that the unique capabilities of these plasmonic nanoantennas can be further extended to develop terahertz detectors and heterodyne spectrometers with quantum-level detection sensitivities over a broad terahertz bandwidth at room temperatures, which has not been possible through existing technologies. To achieve this significant performance improvement, plasmonic antennas and device architectures are optimized for operation at telecommunication wavelengths, where very high power, narrow linewidth, wavelength tunable, compact and cost-effective optical sources are commercially available. Therefore, our results pave the way to compact and low-cost terahertz sources, detectors, and spectrometers that could offer numerous opportunities for e.g., medical imaging and diagnostics, atmospheric sensing, pharmaceutical quality control, and security screening systems. And finally, I will briefly highlight our research activities on development of new types of high-performance terahertz passive components (e.g., modulators, tunable filters, and beam deflectors) based on novel reconfigurable meta-films. Co-sponsored by: Dr. Mehrdad Sharbaf IEEE CLAS Computer Society Chair, Adjunct Professor CSUDH Speaker(s): Professor Mona Jarrahi Virtual: https://events.vtools.ieee.org/m/416945