IEEE MTT members are invited to attend the 2024 Spring Dinner Meeting of the Washington/Northern VA Microwave Theory and Technology Chapter. Location: Bombay Tandoor Restaurant, 8603 Westwood Center Drive, Vienna, VA 22182 Date and Time: April 16 2024 7:00 pm The agenda includes dinner at the restaurant followed by a technical presentation by Dr. Matthew LaRue, Army Research Lab, on "Innovative Transmitter Architectures" and an award presentation honoring Mr. James Shackford as the winner of the MTT-S Video Contest. Because seating at the restaurant is limited, pre-registration is required to attend. The cost to attend the dinner and talk is $10.00, payable at registration only. The venue is a short walk from the Spring Hill Metro Station on the DC Metro Silver Line, northwest of Tyson's Corner. Parking is free in front of the restaurant or free in the garage behind the restaurant. Note that there are several garage entrances, use the one labeled #8603 . Bombay Tandoor Restaurant, 8603 Westwood Center Drive, Vienna, Virginia, United States, 22182

IEEE-USA Career Webinar: You Have Your First Job. Now, how do you start your career? Speaker(s): Priyanka Raut, Virtual: https://events.vtools.ieee.org/m/407623

"You have your first job. Now, how do you start your career?" In this presentation you will define what career growth looks like for you, how to build key skills and knowledge, understand the importance of networking and goal setting, identify challenges and learn tips for overcoming them. Speaker(s): Priyanka Raut 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/409067

IEEE Northern Virginia Communications Society (ComSoc) and George Mason University Department of Computer Science invite you to attend the following CS Lecture Series Seminar: Title: Deep Learning Compilers and Kernel Generation When: April 17, 2024 from 2:00 PM to 3:00 PM Speaker: Vinod Grover, NVIDIA Location: Nguyen Engineering Building, Conference Room 4201 Zoom Link: (https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgmu.zoom.us%2Fj%2F99133375939%3Fpwd%3DK003K3JuYmR3L2FWYldPWWZrRUVFQT09&data=05%7C02%7Ckhassan1%40gmu.edu%7C7f98fa3c7c194c32f75f08dc58cd04dd%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638482884783417855%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=AdtnvDXUbK6PsccONuQhjAY1O%2BY%2B0flZNjMLGaTZISs%3D&reserved=0) Abstract: Deep Learning Compilers have made great progress in recent years and started to be used in training and inference of models. Yet many challenges still remain. High performance model graphs are still written as kernels by experts and these are also deployed manually using custom operation hooks in frameworks. In this talk we will describe some of the challenges in compiling dynamic shapes and designing intermediate representations that enable automatic kernel generation. Bio: Vinod Grover is a Sr. Distinguished Engineer at NVIDIA. He has been with NVIDIA since 2007 where he led a team that developed the CUDA C++ language and compiler for programming GPUs. CUDA C++ has been a key catalyst in driving productivity, performance and innovation in many fields. Since 2017, Vinod has been focused on bringing the same productivity and performance to the problem of accelerating Deep Learning models by using important ideas from language design and compiler technology. He is currently leading a small group that is focused on problems of performance and productivity to the development of ML models. Previously Vinod held engineering, research and management positions at Sun Microsystems and Microsoft. Vinod holds a Bachelor's degree in Physics from IIT Delhi and a Master's degree in Computer Science from Syracuse University. Co-sponsored by: George Mason University - Department of Computer Science Bldg: Nguyen Engineering Building, Conference Room 4201, 4400 University Dr, Fairfax, Virginia, United States, 22030, Virtual: https://events.vtools.ieee.org/m/417186

The (https://www.embs.org) (https://site.ieee.org/baltimore/) and (https://baltimore.acm.org) cordially invite you to attend our upcoming seminar! Chest radiography image analysis for thoracic (chest region) disease detection has been an active area of research in the last decade. Our distinguished guest speaker, Dr. Taufiq Hasan, Bangladesh University of Engineering and Technology (BUET), will delve into the challenges of domain generalization, anatomy awareness, and image superposition in chest X-ray imaging. He will discuss the recent advances in deep learning models in this domain and share his team's recent research findings that address these specific challenges. Furthermore, the seminar will provide you with an opportunity to network, meet, and interact with the speaker and other attendees to expand your knowledge and network. The meeting will be held at Johns Hopkins University Applied Physics Laboratory (JHU/APL) Building 201 (201-117), located at 11091 Johns Hopkins Road, Laurel, MD 20723. What you need to know before coming to APL, (https://www.jhuapl.edu/about/visiting-apl) Co-sponsored by: IEEE Engineering in Medicine and Biology (EMB) Society & Association for Computing Machinery (ACM) Baltimore Chapter Speaker(s): Dr. Taufiq Hasan, Agenda: In-Person Attendance Only! 5:15 pm - Registration, Refreshments, Networking 5:45 pm - Welcome and Introduction 6:00 pm - Presentation, Dr. Taufiq Hasan "Advancements in Chest Radiograph Image Analysis: Deep Learning Models Addressing Domain Generalization, Anatomy-awareness, and Image Superimposition" 7:00 pm - Group Picture, Networking 7:30 pm - Adjourn Bldg: JHU/APL, 201-117, Johns Hopkins University Applied Physics Laboratory (JHU/APL), 11091 Johns Hopkins Road, Laurel, Maryland, United States, 20723

Book Talk by Guru Madhavan, National Academy of Engineering Our world is filled with pernicious problems. How, for example, did novice pilots learn to fly without taking to the air and risking their lives? How should cities process mountains of waste without polluting the environment? Challenges that tangle personal, public, and planetary aspects―often occurring in health care, infrastructure, business, and policy―are known as wicked problems, and they are not going away anytime soon. In linked chapters focusing on key facets of systems engineering―efficiency, vagueness, vulnerability, safety, maintenance, and resilience―engineer Guru Madhavan illuminates how wicked problems have emerged throughout history and how best to address them in the future. He examines best-known tragedies and lesser-known tales, from the efficient design of battleships to a volcano eruption that curtailed global commerce, and how maintenance of our sanitation systems constitutes tikkun olam, or repair of our world. Braided throughout is the uplifting tale of Edwin Link, an unsung hero who revolutionized aviation with his flight trainer. In Link’s story, Madhavan uncovers a model mindset to engage with wickedness. An homage to society’s innovators and maintainers, (https://www.amazon.com/Wicked-Problems-Engineer-Better-World/dp/0393651460/ref=sr_1_1)offers a refreshing vision for readers of all backgrounds to build a better future and demonstrates how engineering is a cultural choice―one that requires us to restlessly find ways to transform society, but perhaps more critically, to care for the creations that already exist. Speaker(s): Guru Madhavan, Agenda: 6:00 PM - 6:30 PM - Refreshments and Networking 6:30 PM - Announcements and Introduction 6:35 PM - Talk followed by Q&A Room: Meeting Room, Bldg: Patrick Henry Library, 101 Maple Ave East, Vienna, Virginia, United States, Virtual: https://events.vtools.ieee.org/m/415633