On-site Registration/Breakfast 7:30 a.m. - 8:30 a.m. Workshop: 8:30 a.m. - 5:00 p.m. On-site Networking Reception: 5:30 p.m. - 7:30 p.m. Both on-site & virtual Complimentary registration is available - on-site - registration deadline 11 February 2025 - includes free breakfast, lunch, & reception! - virtual - registration deadline 14 February 2025 5G is not just the next evolution of 4G technology; it’s a paradigm shift. Not only is 5G evolutionary (providing higher bandwidth and lower latency than current-generation technology), more importantly, 5G is revolutionary—because it is expected to enable fundamentally new applications with much more stringent requirements in latency and bandwidth. 5G should help solve the last-mile problem and provide broadband access to the next billion users globally at much lower cost because of its use of new spectrum and its improvements in spectral efficiency. Today, several standards organizations and forums, namely IEEE, 3GPP, and ITU, are working on defining the architecture and standardizing various aspects of 5G technologies. However, little has been studied to explore how 5G technologies can be useful to tactical and first responder networks. It is important to investigate how tactical and first responder communities can take advantage of 5G technologies to support massive bandwidth, massive sensing, and massive control type applications. IEEE is hosting the workshop in collaboration with the JHU Applied Physics Lab. The workshop's focus is to discuss the applicability of 5G technologies for tactical and first responder networks and related opportunities and challenges. The workshop will provide a platform to bring together 5G experts from industry, academia, and the standards, regulator, and defense communities to discuss various 5G-specific use cases and requirements. The one-day event has invited speakers from DARPA, DHS, FCC, NIST, NSF, Columbia University, NYU, Intel, National Instruments, Nokia, AT&T, CERDEC, IEEE, and 3GPP. This workshop will be a catalyst to develop relevant use cases, drive standards, and investigate deployment suitable for tactical and first responder networks. Full details and the agenda can be found at: https://futurenetworks.ieee.org/conferences/2025-first-responder-and-tactical-networks-workshop For more information, please contact Ashutosh Dutta, IEEE WFRTN Chair, Johns Hopkins University. Email: [email protected] or [email protected] Tel: 908-642-8593 Details on Sponsorship and Exhibit Opportunities can be found at: https://futurenetworks.ieee.org/images/files/IEEE-WFRTN-Sponsor-Brochure_2025_v2.pdf Co-sponsored by: IEEE Future Networks TC, Washington DC & Baltimore Sections Room: Kossiakoff Conference Center, The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland, United States, 20723, Virtual: https://events.vtools.ieee.org/m/460733

Electrical Power Systems Reliability Analysis This presentation will provide an overview of an approach, based on the IEEE Gold Book Standard for determining the Reliability of Electrical Power Distribution Systems for Industrial, Commercial, Government, Healthcare and Institutions. Topics to be included are: 1) Electrical Single-Line Diagrams Overview 2) Reliability Model 3) Reliability Series Device Calculations 4) Reliability Parallel Device Calculations 5) Overall System Reliability Calculations 6) Comparison of Various Design Models This presentation can serve as a refresher and or an introduction to reliability of power distribution systems. Speaker(s): Gabriel Paoletti, P.E. Agenda: WEBINAR: 7:00 - 8:00 P.M. The Zoom Webinar link and password will be forwarded to all registered participants after Noon on the day of the meeting. Check your spam folder if you don't see the email. Webinar is open to all. PDH certificates are available and an evaluation form will be emailed to you after the meeting. PDH certificate are sent by IEEE USA 3-4 weeks after the meeting. Virtual: https://events.vtools.ieee.org/m/454265

[] Dr Chin is currently a Research Scientist at Discovery Partners Institute, part of the University of Illinois System. He is working on research in mobile social networking, IoT, responsible AI, human-centered AI, and data science. His research interests are in data science, machine learning, IoT, big data, social networking, HCI, ubiquitous computing, web and AI. Speaker(s): Dr. Alvin Chin, PhD Virtual: https://events.vtools.ieee.org/m/456323

"Tea Time" drop-in informal sessions provide students with an opportunity to seek advice, discuss current topics, and connect with faculty in a relaxed environment. Our goal is to build a stronger sense of community within the department. Having a better connection with your ECE/CS professor is essential to increasing the chances of success. Keep in mind that this is not an office hour, it is mainly for just hanging out and getting to know your ECE/CS professor. If you have any questions, don't hesitate to reach out to any of the other IEEE board members! York College of Pennsylvania , York, Pennsylvania, United States

Special Presentation by Dr. Mahdi Boloursaz Mashhadi (U. of Surrey, UK) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, 20 February 2025 @ 12:00 UTC Topic: Goal-Oriented Generative Semantic Communications with Multimodal LLMs Abstract: The integration of Generative Artificial Intelligence (GenAI) models with wireless networks provides ample opportunities to develop innovative technologies with transformative potential. One such technologies is Generative Semantic Communications (Gen SemCom), which leverages the capabilities of state-of-the-art GenAI models to develop ultra-low bitrate semantic communication systems aiming to transmit only the semantic message of interest with high fidelity. GenAI models such as Diffusion, Flow-based, and GAN models, can learn the general distribution of natural signals through training and generate new samples at the inference time. This generative process can be guided or conditioned to synthesize outputs with a desired semantic content. In Gen SemCom, the semantics of interest are extracted at the transmitter, communicated over the channel, and then used at the receiver to guide a generative model to locally synthesize a semantically consistent signal. The emerging generative foundation AI models and Multi-modal Large Language Models (MLLMs) can be leveraged in the SemCom framework to convey the most important semantics of the source signal to the receiver through textual prompts in a super compact form. These models possess a vast general knowledge through intensive pre-training on huge amount of data. This alleviates the need for a shared knowledge base/graph between the semantic transmitter and receiver, obviating the need for corresponding knowledge sharing overheads imposed in current SemCom frameworks. Despite the above benefits, deployment of such large models in the SemCom framework is challenging due to their high computational complexity, energy consumption, and latency. This talk focuses on novel generative approaches to semantic communications, the fundamental bounds on Gen SemCom, and its emerging applications in wireless networks. It investigates the challenges and opportunities of deploying Gen SemCom at various layers in future wireless networks and provides the corresponding future research directions. Speaker: [] Dr. Mahdi Boloursaz Mashhadi (Senior Member, IEEE) is a Lecturer at the 5G/6G Innovation Centre (5G/6GIC) at the Institute for Communication Systems (ICS), University of Surrey (UoS), and a Surrey AI fellow. His research is focused at the intersection of AI/ML with wireless communication, learning and communication co-design, generative AI for telecommunications, and collaborative machine learning. He received B.S., M.S., and Ph.D. degrees in mobile telecommunications from the Sharif University of Technology (SUT), Tehran, Iran. He has more than 40 peer reviewed publications and patents in the areas of wireless communications, machine learning, and signal processing. He is a PI/Co-PI for various government and industry funded projects including the UKTIN/DSIT 12M£ national project TUDOR. He received the Best Paper Award from the IEEE EWDTS conference, and the Exemplary Reviewer Award from the IEEE ComSoc in 2021 and 2022. He served as a panel judge for the International Telecommunication Union (ITU) on the “AI/ML in 5G” challenge 2021- 2022. He is an editor for the Springer Nature Wireless Personal Communications Journal. Co-sponsored by: Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/463737

Course Kick-off / Orientation 6:00PM – 6:30PM EDT; Thursday, February 20, 2025 First Video Release, Thursday, February 20, 2025. Additional videos released weekly in advance of that week’s live session! Live Workshops: 6:00PM – 7:30PM EDT; Thursdays, February 27, March 6, 13, 20, 27 Registration Fees: IEEE Member Early Rate (by February 6): $190.00 IEEE Member Rate (after February 6): $285.00 IEEE Non-Member Early Rate (by February 6): $210.00 IEEE Non-Member Rate (after February 6): $315.00 Decision to run/cancel course: February 13, 2025 Registration is open through the last live workshop date. Live workshops are recorded for later use. Course Information will be distributed on Thursday, February 20 in advance of and in preparation for the first live workshop session. A live orientation session will be held on Thursday, February 20. Attendees will have access to the recorded session and exercises for two months (until May 27, 2025) after the last live session ends! This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language. Pre-Recorded Videos: The course format includes pre-recorded video lectures that students can watch on their own schedule, and an unlimited number of times, prior to live Q&A workshop sessions on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course. Course Summary This course builds on the IEEE course “DSP for Wireless Communications” also taught by Dan Boschen, further detailing digital signal processing most applicable to practical real-world problems and applications in radio communication systems. Students need not have taken the prior course if they are familiar with fundamental DSP concepts such as the Laplace and Z transform and basic digital filter design principles. This course brings together core DSP concepts to address signal processing challenges encountered in radios and modems for modern wireless communications. Specific areas covered include carrier and timing recovery, equalization, automatic gain control, and considerations to mitigate the effects of RF and channel distortions such as multipath, phase noise and amplitude/phase offsets. Dan builds an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and real-world applications for mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges, rather than a tutorial on implementations with DSP processors. Now with Jupyter Notebooks! Speaker(s): Dan Boschen , Agenda: Kick-off / Orientation: Thursday, February 20, 2025 Topics / Schedule: Class 1: Thursday, February 27, 2025 - DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams Class 2: Thursday, March 6, 2025 - ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators Class 3: Thursday, March 13, 2025 - Digital Control Loops; Output Power Control, Automatic Gain Control Class 4: Thursday, March 20, 2025 - Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters Class 5: Thursday, March 27, 2025 - RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers Virtual: https://events.vtools.ieee.org/m/450597

Presenter: Vishal Rastogi Abstract Artificial Intelligence (AI) Agents and agentic architectures represent a paradigm shift in autonomous systems. These intelligent entities dynamically perceive, reason, and act to achieve goals, leveraging advanced machine learning and natural language processing. AI agentic architecture enhances collaboration between agents, enabling seamless orchestration of complex tasks across distributed systems. By integrating reinforcement learning, multi-agent environments, and self-evolving capabilities, this approach solves intricate challenges in real-time. Whether optimizing business workflows, enhancing customer experiences, or enabling breakthroughs in robotics, AI agents redefine efficiency and innovation. Speaker(s): Vishal, Agenda: Meeting Agenda Star Date - 20th Feb 2025 StartTime - 6:00 pm End Time - 6:45 pm Note: this is Virtual meeting Virtual: https://events.vtools.ieee.org/m/462863

You may use the following link to write a summary of any monthly updates from your committee, chapter or affinity group. Information received by 12 PM on day of the meeting will be incorporated into the meeting agenda. (https://docs.google.com/document/d/1VJN7f1RR1tJ_F1m8n_0tgJnCLbRYwcAA1_oueij7l6k/edit?usp=drive_link) IEEE members can access prior meeting minutes hosted on the Pittsburgh Section's (https://drive.google.com/drive/folders/1_UTt5t_dxNP1M5dO87OOeR25t8P7qQHp?usp=sharing). Access to the shared drive is restricted to the (https://www.ieee.org/membership/products/google-apps.html). Location for this event is virtual. Meeting link and call-in information will be emailed one hour before the event. --------------------------------------------------------------- New to IEEE Pittsburgh? For those new to the Pittsburgh Section Executive and Administrative Meeting, we welcome all IEEE members in the area to attend! This is a standing meeting held on the 3rd Thursday of every month. We review our upcoming activities relevant to engineers in our section. Feel free to use the report link above to ask any questions you may have, join us on Slack, or read through our welcome guide for more information about how you can get involved with IEEE Pittsburgh. (https://docs.google.com/document/d/1lyWneXlANAQAiJN2p6Bi9kAatooxIQ-YzlGpWRmRGBw/edit?usp=sharing) (https://webinabox.vtools.ieee.org/wibp_calendar/index/R20037) Agenda: First 30 minutes of the event are reserved for socializing. The meeting portion starts at 7 pm (eastern time zone). (https://docs.google.com/document/d/1VJN7f1RR1tJ_F1m8n_0tgJnCLbRYwcAA1_oueij7l6k/edit?usp=drive_link) Virtual: https://events.vtools.ieee.org/m/466229

Executive Committee planning meeting for upcoming events. All ExCom's are Virtual. These are open to all members including students. At this time the meeting will be remote. Connection information will be sent out at 3:00pm on the day of the meeting to those who have registered. Please register for the meeting by noon of the day of, even if you are an Officer. We meet on the 3rd Thursday of each month We do not meet July and December. With that in mind the 2025 dates are: 1/16; 2/20; 3/20; 4/17; 5/15; 6/19; 8/21(new); 9/18; 10/16; 11/20 Virtual: https://events.vtools.ieee.org/m/461872

First meeting for the project series where students will be introduced to their projects and get an idea about the project. Baltimore, Maryland, United States

The IEEE Temple Student branch is thrilled to invite you to an interactive robotics workshop! In this hands-on session, students will explore cloud-based systems and integrate advanced AI tools, including generative AI, to develop and control robotic applications using the quadruped Mini Pupper (robot dog). Blending theory with practical experience, participants will learn to manage robotic operations from design to deployment, leveraging AWS cloud services, Python programming, the Robot Operating System (ROS), and AI technologies. During the workshop, students will program the robot to follow a line and perform dance routines synced to music of their choice. The event promises to be a fun, engaging experience, designed to spark interest in robotic programming. Participants will also have the chance to apply their newly acquired skills in a Mini Pupper competition at the IEEE SAC 2025. Seats are limited, so register as soon as possible! Be sure to sign up by February 7, 2025 (early registration, late registration will be $100 more), to secure your spot and help us finalize the necessary preparations. Don’t miss this exciting opportunity to build your skills and have fun with cutting-edge robotics technologies! If you decide to come, please bring a windows 11 laptop. Co-sponsored by: IEEE Region 2 Agenda: - 9:30am -10:00am registration - 10:00am-12:00pm workshop - 12:00-1:00pm lunch provided - 1:00-2:00pm demonstration Room: 301A, Bldg: Temple University, College of Engineering, 1947 N. 12th Street, Philadelphia, Pennsylvania, United States, 19122