Monthly meeting of the IEEE Baltimore Section's executive committee. The meeting is open to all Section members. This meeting will be by videoconference only. Virtual: https://events.vtools.ieee.org/m/456281

Executive Committee meeting for officer, committee, and affinity group updates. Agenda: (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m49b8f3d162cba20c153f7e7763e9fb46) https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m49b8f3d162cba20c153f7e7763e9fb46 Meeting number: 2535 722 9989 Meeting password: hB5JFjMPm23 Join by phone +1-415-655-0002 United States Toll 1-855-282-6330 United States Toll Free Access code: 2535 722 9989 Room: Longfellow Room, Westover Library, 1644 North McKinley Road, Arlington, Virginia, United States, 22205, Virtual: https://events.vtools.ieee.org/m/464442

Meetings of the Administrative Committee are held virtually. Members are welcome to attend. Reserve your place by registering online or calling the office by the Monday before. Agenda: AdCom Meeting: 7:00 P.M. - 9:00 P.M Virtual: https://events.vtools.ieee.org/m/452200

Dr Rui Li of will take a deep dive into the Multimodal Interaction and Affective Computing Lab (MIAC Lab) at Montclair State with a focus on Multimodal Human-Machine Interaction. This exciting work involves multimodal information processing, immersive interaction, intelligent systems for vehicles and robots. Her passion is for the interdisciplinary study of human emotion, behavior, and cognition to bring about excellent human-machine interaction and intelligent machines. Speaker(s): Dr. Rui Li PhD Virtual: https://events.vtools.ieee.org/m/456316

Is AI a threat to your job? Will middle management really disappear? In this talk, we’ll answer these questions and more. You’ll learn what AI really is, and the difference between Machine Learning and Deep Learning. We’ll break down popular buzzwords like ChatGPT and large language models, and explore how these technologies are shaping the workplace. As a leader, you need to be able to talk about AI—not just as a tool, but as a way to transform teams, drive innovation, and lead change. This session will give you the confidence to navigate these conversations in interviews, networking, or your current role. You’ll leave with a clear understanding of how to stay competitive, whether by upskilling or positioning yourself as a future-focused leader. Plus, discover how tailored coaching can help you leverage AI knowledge to elevate your job search and career strategy. Speaker(s): Elizabeth Lions 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. Learn about our sponsor: the IEEE Member Group Insurance Program - Powered by AMBA. AMBA specializes in providing tailored insurance solutions for IEEE members. Whether you’re seeking health, life, or disability coverage, AMBA has you covered. Visit the IEEE Member Group Insurance Program website to explore the benefits and options available to you: (https://www.ieeeinsurance.com/) 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/462467

A presentation on the engineering of and demonstration of the receivers, antennas and software required for radio astronomy. Demonstration of a small scale radio telescope will be available for students. Co-sponsored by: Stark College Astronomy Club/Stark College IEEE Chapter Room: E204, Bldg: Main Campus Building, Stark College, 6200 Frank Ave. NW, North Canton, Ohio, United States, 44720

Abstract: Almost all traffic on the Internet today is sent by Congestion Control Algorithms, which aim to maximize utilization of available bandwidth on an Internet link while simultaneously sharing this bandwidth equally with competing traffic. With the rise of heterogeneous congestion control algorithms and increasingly complex application control loops (e.g. adaptive bitrate algorithms found in video streaming), the Internet community has expressed growing concern that network bandwidth allocations are unfairly skewed, and that some Internet services are ‘winners’ at the expense of ‘losing’ services when competing over shared bottleneck links. In this paper, we provide the first study of fairness between live, end-to-end services with distinct workloads. Put simply, if you and your roommate are watching Netflix and YouTube on a bandwidth-constrained Internet link, would you end up streaming your video at the lowest resolution while your roommate enjoys a high quality 4K stream, or would the outcome be fairer? Among our findings, we observe that services typically achieve less-than-fair outcomes: on average, the ‘losing’ service achieves only 72% of its max-min fair share of link bandwidth. We also find that some services are significantly more contentious than others: for example, one popular file distribution service causes competing applications to obtain as low as 16% of their max-min fair share of bandwidth when competing in a moderately-constrained setting. Speaker(s): , Adithya Room: Room 316, Bldg: 3rd floor theater space , 135 N. Bellefield, Pittsburgh, Pennsylvania, United States

The Women in Engineering groups of Baltimore and Northern Virginia are pleased to host a virtual fireside chat with Bronwyn Woods, Director of Data Science at Cisco's (https://duo.com), a user-centric identity management platform. Ms. Woods leads an interdisciplinary team that builds Duo’s policy, threat detection, AI, and risk-based enforcement capabilities. She holds a PhD in Statistics and Neural Computation from Carnegie Mellon University. For the last ten years, she has been applying data techniques with evolving names (statistics, ML, AI, data science) to hairy real-world problems in security and education. In this chat, we’ll ask her about her journey as a data scientist, how Duo is applying data science to answer difficult real-world security questions, and what a future of AI in security looks like. We'll also ask her about breaking down disciplinary silos and building synergy among different talents to orchestrate solutions to hard problems. Bring your questions, either technical or professional career path, as we will have a Q&A session at the end. Virtual: https://events.vtools.ieee.org/m/464015

I am hosting an open call to allow voting members of the Southern New Jersey Section to ask questions regarding the election process; responsibilities and duties of the different officer positions; the onboarding, training, and support for the officers; and any other related questions you may have. For those that need it, here is the nomination link. Self nominations are welcomed. https://nominations.vtools.ieee.org/tego_/nominate_or_petition/R20041 Virtual: https://events.vtools.ieee.org/m/465727

Join us for our second general meeting! Free Pizza as always! Room: 321, Bldg: Engineering Hall, 401 North Campus Drive, Glassboro, New Jersey, United States, 08028