IEEE Region 5

Robotic odor source localization is a technology that enables a mobile robot or autonomous agent to locate hidden odor sources in unknown environments. This approach has significant potential for replacing human searchers in hazardous situations, such as detecting chemical leaks or gas emissions. The key challenge lies in designing effective navigation algorithms that allow the robot to respond appropriately to sensory inputs. This presentation explores various olfactory-based navigation strategies, including AI-driven algorithms and semantic navigation approaches that fuse visual and olfactory data. The presentation also highlights real-world applications that demonstrate the capabilities and impact of robotic odor source localization systems. [] Virtual: https://events.vtools.ieee.org/m/486172

This transformative webinar explores the art of strategic influence as a cornerstone for professional growth and success. Participants will learn how to effectively persuade, inspire trust, and shape decisions through powerful communication and influence techniques. Whether you're aiming to build your personal brand, advocate for change, or unlock new opportunities, this session equips you with the confidence and skills to take your career to new heights. Speaker(s): Dr. Jessica Bian, Dr. Karen Panetta Agenda: IEEE-USA's free webinars/events are designed to help you find your next job, maintain your career, negotiate an appropriate salary, understand ethical considerations in the workplace and learn about other career-building strategies and public policy developments that affect your profession. For information regarding upcoming webinars or to visit our vast webinar archive, please visit: (https://ieeeusa.org/careers/webinars/) (https://newsletter.smartbrief.com/rest/sign-up/2479DAB0-4089-43E7-925D-86AE0C1E6244?campaign=e0d52cef) Virtual: https://events.vtools.ieee.org/m/485828

Generative Adversarial Networks (GANs) implement Machine Learning (ML) algorithms that can 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, several 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/466461

IEEE Central Texas Section Monthly ExCom Meeting Agenda: Officer Reports Committee Reports Virtual: https://events.vtools.ieee.org/m/469218

Monthly Lone Star Section Executive Committee Meeting Agenda: Room: CR 1.102, Bldg: 168, Southwest Research Institute, 6220 Culebra Road, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/455833

Monthly virtual planning meeting to discuss upcoming programs and other chapter business. Virtual: https://events.vtools.ieee.org/m/486887

Join us Thursday, June 5th from 4–6 PM at The Colorado Keg House for our first CROWS HOUR of the summer! This free networking event brings together AOC members, interested guests, and our professional peers from the IEEE AESS-SPS Denver/High Plains Chapter. Enjoy great conversations, cold beverages, and make valuable connections across the CEMA/EMSO, spectrum research, and engineering communities! RSVP Today (https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmembers.milehighcrows.org%2Fe3t%2FCtc%2FOS%2B113%2Fd2Cv9W04%2FVWKyrP2lcBn6Mfhq_VSwfr5VSnzBh5x4qPVN6YWdrH5kvg0W50kH_H6lZ3mVN5Ch_xPnfHTzW3mLRQf31sLBhW49H9tj6LtZW7W5L-FDZ5TDmQFW7Y8_f069J5bgW6Cfwsj1S2RHwW6Tjn4s91j2CMW66ltvd5Tkv_nW931wMZ1wVr6MW85hBCx3LvKFHW7dTRD93qYNJ5W5zBBp714hhyqN8BJ_pnWZnV9VR9_X13JhXVbW2VMyY25V-g3QW9kwypX4QN7pSW5Bjjpj1DdTMmMm1wCWsxfVcVhBLF251YNWZVzy4Hf1-zzLXW9fhPqx1x0yFtW3Nxy-f6J6ZWrW6p2vdF186rXZN6s-WxGNRKWrW2pPljW7T8pNgW3brcbf1-WDjjW50lCFK6xpNYqN1_Bq9Ql1V5ZW7w9MB82ltnCFW5-MkW96JvZs9W1YPcJQ4Hp-KqN2n63wTBNCy9f34zLGY04&data=05%7C02%7Cbrian.breitsch%40colorado.edu%7C9937f1a1da65450733b508dd9d4d7a15%7C3ded8b1b070d462982e4c0b019f46057%7C1%7C0%7C638839678297362680%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=cb4csJMlnXducevw3BYeVHBtmhLuIrvJFi2SgTPIyo0%3D&reserved=0) and click "Yes" to attend and select the next event you'd like to participate in (i.e., June 5th). Want to support our mission as an individual? Select "Attend and Give!" to make a $10 individual contribution during registration. Become a Sponsor Organizations can sponsor at Platinum, Gold, or Silver levels during registration and gain visibility for the month through our LinkedIn page, newsletters, and other communications platforms. All proceeds benefit the Mile High AOC chapter's Spectrum Forward Student Opportunities Fund! Co-sponsored by: Association of Old Crows - MHCC 8001 Arista Pl Suite 110, Broomfield, Colorado, United States, 80021

Biometric technology was incepted in 1958 in a very non-scientific way while recording inked fingerprints of people on paper on a whim. Then biometric technology was practiced and a scientific basis was established during finding the identity of Afgan Girl Sharbat Gula by National Geographic photographer McCurry and Prof. John Daugman. The talk will introduce the basic concepts of biometric security, beginning with the history of the development of biometric technology and how it has become the backbone of security in several daily-used products like personal computers or mobile phones. Apart from such applications, the talk will emphasize how biometrics helps to find criminals in the FBI and how helps to recognize a person in India using the nationwide database AADHAAR. The latest usage of deep learning techniques for achieving superior performances from biometric systems will also be highlighted in this talk. Co-sponsored by: Clifton Reddy <[email protected]> Speaker(s): Dr SAMBIT, Virtual: https://events.vtools.ieee.org/m/486305

The engineering of large complex systems is an evolving discipline. System engineers and managers alike must know how today’s realities are changing the application of systems engineering thanks to technological advances, shifting resource availability and types, greatly increasing data volumes, new design and implementation strategies, and more. The resulting impacts of modified and new processes, methodologies, and tools must be judged in relation to existing systems engineering management practices to emphasize areas of improvement. Chief among these impacted areas of change are the following topics: 1) Supply Chain Issues 2) Environmental Concerns 3) Modeling Trends 4) New Terminology/Concepts 5) Resilient (Reliable) Systems 6) Data-Driven Decision Making 7) Recycling and Reusing of Complex Systems Speaker(s): JOHN, Virtual: https://events.vtools.ieee.org/m/485843