Machine Learning in NextG Networks via Generative Adversarial Networks

Virtual: https://events.vtools.ieee.org/m/446267

Generative Adversarial Networks (GANs) implement Machine Learning (ML) algorithms that have the ability to address competitive resource allocation problems together with detection and mitigation of anomalous behavior. In this talk, we discuss their use in next-generation (NextG) communications within the context of cognitive networks to address i) spectrum sharing, ii) detecting anomalies, and iii) mitigating security attacks. GANs have the following advantages. First, they can learn and synthesize field data, which can be costly, time consuming, and non-repeatable. Second, they enable pre-training classifiers by using semi-supervised data. Third, they facilitate increased resolution. Fourth, they enable recovering corrupted bits in the spectrum. The talk will provide basics of GANs, a comparative discussion on different kinds of GANs, performance measures for GANs in computer vision and image processing as well as wireless applications, a number of datasets for wireless applications, performance measures for general classifiers, a survey of the literature on GANs for i)–iii) above, some simulation results, and future research directions. In the spectrum sharing problem, connections to cognitive wireless networks are established. Simulation results show that a particular GAN implementation is better than a convolutional auto encoder for an outlier detection problem in spectrum sensing. Speaker(s): Ender Ayanoglu Virtual: https://events.vtools.ieee.org/m/446267

Pikes Peak LMAG and Section Holiday Dinner

Room: Wheeler Room (3rd Floor), Bldg: Phantom Canyon Brewing, 2 East Pikes Peak Avenue, Colorado Springs, Colorado, United States, 80903

Please Join us for an LMAG and Section Holiday Dinner being held Tuesday, December 17 at 6 pm at the Wheeler Room on the 3rd Floor of the Phantom Canyon Brewing over looking downtown Colorado Spring. Please bring a guest. The event will include reception at 6 pm with fruit & cheese appetizer and 1 wine/beer/soft drink provided by Phantom Canyon followed by Burger Buffet dinner with hamburger/chicken burger, salad, cole slaw, beans. A vegetarian option will be available. The LMAG and Section will cover a majority of costs but we request a $20 attendance fee for this event. The meal will be followed by a Presentation "Tesla's Magnifying Transmitter" by David BONDURANT, IEEE Pikes Peak Section Chair. This talk will describe Tesla's life story and specifically focus on 1899, the year that Tesla spent in Colorado Springs building and testing his experimental laboratory located in what is now Memorial Park. This Magnifying Transmitter became the first Full Scale Demonstration of a Very Low Frequency Continuous Wave transmitter for wireless telegraphy and power transmission. The Section is working to make this an IEEE Milestone to add to the existing monument to Tesla currently located at Pikes Peak and Foote Avenue in Memorial Park. Tesla's Magnifying Transmitter located near the Union Printer Home in today's Memorial Park Speaker(s): David Bondurant, Agenda: Reception Dinner Presentation - Tesla's Magnifying Transmitter Room: Wheeler Room (3rd Floor), Bldg: Phantom Canyon Brewing, 2 East Pikes Peak Avenue, Colorado Springs, Colorado, United States, 80903

Navigating Professional Advancement in Cloud Architecture: Skills, Strategies, and Opportunities

Virtual: https://events.vtools.ieee.org/m/450439

In the dynamic world of technology, cloud architecture has emerged as a pivotal field, driving innovation and digital transformation across industries. This presentation explores the roadmap for professional advancement in cloud architecture, focusing on the essential skills, strategies, and opportunities that aspiring professionals must harness to succeed. From mastering foundational concepts to embracing cutting-edge technologies like Kubernetes, AI-driven cloud solutions, and multi-cloud strategies, attendees will gain actionable insights into skill-building and career growth. Additionally, we will delve into industry certifications, the value of mentorship, and leveraging networking platforms to stay ahead in this competitive domain. Whether you are beginning your journey or looking to elevate your career, this session equips you with the tools and knowledge to achieve excellence in cloud architecture. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Ayisha Tabbassum Agenda: - Invited talk from Ayisha Tabbassum, Cloud Architect. - Q/A Session Virtual: https://events.vtools.ieee.org/m/450439