The talk will cover basic RF and microwave control circuits for reconfigurable electronics and then focus on linear and nonlinear behavior and models for PIN diode, MESFET, and MOSFET control elements to implement these circuits. The talk will conclude with examples of control circuits using these models in reconfigurable RF and microwave electronics. Co-sponsored by: IEEE North Jersey Section Speaker(s): Dr. Robert H. Caverly Virtual: https://events.vtools.ieee.org/m/417613

IEEE Aerospace and Electronic Systems Society - co-sponsored by AESS Boston (Chair Dr. Francesca Scire-Scappuzzo) and AESS London (Chair Dr. Julien Le Kernec) Seminar: Via formal verification Agenda: (Please note that since this is taking place in London, for USA remote attendees the event will be a lunch time event 1:30PM - 2:30PM 6:00-6:30 - In-Person Networking 6:30-7:30 - WebEx Presentation 7:30-8:00 - In-Person Networking Speaker: Prof. Alessio Lomuscio, PhD, Imperial College, London, UK. Safe AI Lab. Royal Academy Engineering Chair in Emerging Technologies. A major challenge in deploying ML-based systems, such as ML-based computer vision, is the inherent difficulty in ensuring their performance in the operational design domain. The standard approach consists in extensively testing models for inputs. However, testing is inherently limited in coverage, and it is expensive in several domains. Novel verification methods provide guarantees that a neural model meets its specifications in dense neighborhood of selected inputs. For example, by using verification methods we can establish whether a model is robust with respect to infinitely many lighting perturbations, or particular noise patterns in the vicinity to an input. Verification methods can also be tailored to specifications in the latent space and establish the robustness of models against semantic perturbations not definable in the input space (3D pose changes, background changes, etc). Additionally, verification methods can be paired with learning to obtain robust learning methods capable of generating models inherently more robust than those that may be derived with standard methods. In this presentation I will succinctly cover the key theoretical results leading to some of the present ML verification technology, illustrate the resulting toolsets and capabilities, and describe some of the use cases developed with our colleagues at Boeing Research, including centerline distance estimation, object detection, and runway detection. I will argue that verification and robust learning can be used to obtain models that are inherently more robust and better understood than present learning and testing approaches, thereby unlocking the deployment of applications in the industry. Speaker(s): Prof. Alessio Lomuscio, PhD, Imperial College, London, UK. , QinetiQ UK – 78, St. James’ Street, SW1A 1JB, England, United Kingdom, Virtual: https://events.vtools.ieee.org/m/413287

How Smart is Our Grid? Electrical grid updates are essential to keep up with growing demand and diverse supply sources. New Hampshire has received federal infrastructure funding to make our grid stronger and more resilient to extreme weather events. Utilities are also working to better manage demand and maximize renewable energy sources. Join us to discuss the projects in the pipeline to make our grid smarter and stronger. Our panelists will include: Mark Toscano, PE, CEM, Utility Analyst, New Hampshire Department of Energy Jim Diluca, Manager NH Distribution System, Eversource Energy Doors open at 5pm, Discussion begins at 6pm. Science on Tap is held at Stark Brewing Co. at 500 Commercial St. Manchester, NH 03101. Their function room can be accessed from the river side of the building. Doors open at 5pm and we will introduce the panelists at 6pm. Co-sponsored by: Science on Tap 500 Commercial St., Manchester, New Hampshire, United States, 03101

Section Activities Agenda: Review Secretary and Treasury reports Discuss Affinity Group Activities - Consultant Networks, WIE, YP and PACE Review technical society activities - AP/MTT/UFFC, ComSoc/SP, Computyer/SMC, PES Review committee activities - Membership, Entrepreneur Society, IndustryLiason,, Student Activities Old Business New Business 1014 Monroe Turnpike, Monroe, Connecticut, United States, 06468, Virtual: https://events.vtools.ieee.org/m/419611