MOVE Tech Talk – June 2023 – NASA’s Artemis Program

Virtual: https://events.vtools.ieee.org/m/364932

Dr. John Hudiburg, NASA’s Space Communications and Navigation (SCAN) Mission Integration and Commitment Manager will provide a description of NASA’s Artemis Program with a focus on the radio & optical space communications aspects of the missions. Co-sponsored by: IEEE-USA MOVE Program Speaker(s): Dr. John Hudiburg Virtual: https://events.vtools.ieee.org/m/364932

IEEE-USA Livestream Webinar: Semiconductors, an Introduction

Virtual: https://events.vtools.ieee.org/m/361284

The design and manufacture of semiconductor chips is complex. There is significant terminology, processes and science to go from idea to physical part. If you are new to the semiconductor industry and want to learn about this field, this session is for you. Gain a high level understanding of how chips are made, including the terminology and ecosystems required. We'll also briefly discuss some of the careers required to fuel this amazing technical field. Speaker(s): Kathy Hayashi, 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/ This program is offered exclusively to active IEEE members. Virtual: https://events.vtools.ieee.org/m/361284

Adaptive Multi-stage Sampling for Risk Sensitive Control

Room: Ground Floor - Jajodia Auditorium, Bldg: Nguyen Engineering , George Mason University, 4511 Patriot Circle, Fairfax, Virginia, United States, 22030, Virtual: https://events.vtools.ieee.org/m/364800

Abstract: Most applications of stochastic control involve optimization over expected or mean outcomes. Unfortunately, this does not account for a decision maker’s desire to reduce variability or the occurrence of rare, disastrous events. Risk sensitive control introduces dynamic, time-consistent risk measures to create policies that minimize risk in sequential decision making under uncertainty. In this talk we discuss an adaptive sampling based algorithm for risk sensitive control, aimed at mitigating the computational cost involved. We present the results of simulations of risk sensitive benchmarks to demonstrate the feasibility of this approach. Speaker(s): Brian Rybicki, Agenda: 6:30pm-7:00pm: Light dinner and refreshments 7:00pm-8:00pm: Talk with Q&A Room: Ground Floor - Jajodia Auditorium, Bldg: Nguyen Engineering , George Mason University, 4511 Patriot Circle, Fairfax, Virginia, United States, 22030, Virtual: https://events.vtools.ieee.org/m/364800