[]Join us for this virtual meeting! This event brings together two focused talks that connect the architecture of AI in Blockchain/Web3 with practical career guidance for professionals entering this fast-growing space. The first talk explores how intelligent systems are designed, evaluated, and governed in blockchain and fintech environments. The second outlines the skills, roles, and pathways for building a successful AI career in the Blockchain ecosystem. Together, they provide a clear view of where the industry is heading and how to prepare for it. Join us at Zoom link: https://us06web.zoom.us/j/89987956361 Speaker(s): Raj Karan Gunukula , Revanth Reddy Airre Virtual: https://events.vtools.ieee.org/m/520440

Longitudinal and continuous monitoring of cough is crucial for early and accurate diagnosis of respiratory diseases. Recent developments in wearables provides at-home remote symptom monitoring with respect to more accurate and less frequent assessment in the clinics, but face practical challenges such as speech privacy, poor audio quality and background noise in uncontrolled real-world settings. Our work addresses these challenges by developing and optimizing a multimodal cough detection system, enhanced with an Out-of-Distribution (OOD) detection algorithm. The cough sensing modalities include audio and Inertial Measurement Unit (IMU) signals. The system is optimized through training with an enhanced dataset and a weighted multi-loss approach for in-distribution classification, while OOD detection is improved by reconstructing training data components. Experiments demonstrate robustness across window sizes from 1–5 seconds and effectiveness at low audio sampling rates, where privacy is preserved. The optimized system achieves 90.1% accuracy at 16 kHz and 87.3% at 750 Hz, even with half the inference data being OOD. Most misclassifications arise from nonverbal sounds (e.g., sneezes, groans). Overall, the proposed Audio-IMU multimodal model with OOD detection significantly improves cough detection performance and offers a practical solution for real-world wearable applications. Wearable devices with on-board neural acceleration capabilities have been developed to enable fusion of air and bone microphones, and inertial measurements together with real-time processing. Speaker(s): Prof. Dr. Edgar J Lobaton Agenda: 11:50 am to 12:00 pm: Social 12:00 pm to 12:45 pm: Talk 12:45 pm to 1:00 pm: Q/A Virtual: https://events.vtools.ieee.org/m/523030

Longitudinal and continuous monitoring of cough is crucial for early and accurate diagnosis of respiratory diseases. Recent developments in wearables provides at-home remote symptom monitoring with respect to more accurate and less frequent assessment in the clinics, but face practical challenges such as speech privacy, poor audio quality and background noise in uncontrolled real-world settings. Our work addresses these challenges by developing and optimizing a multimodal cough detection system, enhanced with an Out-of-Distribution (OOD) detection algorithm. The cough sensing modalities include audio and Inertial Measurement Unit (IMU) signals. The system is optimized through training with an enhanced dataset and a weighted multi-loss approach for in-distribution classification, while OOD detection is improved by reconstructing training data components. Experiments demonstrate robustness across window sizes from 1–5 seconds and effectiveness at low audio sampling rates, where privacy is preserved. The optimized system achieves 90.1% accuracy at 16 kHz and 87.3% at 750 Hz, even with half the inference data being OOD. Most misclassifications arise from nonverbal sounds (e.g., sneezes, groans). Overall, the proposed Audio-IMU multimodal model with OOD detection significantly improves cough detection performance and offers a practical solution for real-world wearable applications. Wearable devices with on-board neural acceleration capabilities have been developed to enable fusion of air and bone microphones, and inertial measurements together with real-time processing. Speaker(s): Prof. Dr. Edgar J Lobaton Agenda: 11:50 am to 12:00 pm: Social 12:00 pm to 12:45 pm: Talk 12:45 pm to 1:00 pm: Q/A Virtual: https://events.vtools.ieee.org/m/523030

[]In 2025, the landscape of digital money is shifting rapidly as the GENIUS Act establishes a federal framework for payment stablecoins while U.S. CBDC efforts pause and other regions move ahead with their own digital currency projects. This event will provide a clear overview of how stablecoins, CBDCs, tokenized deposits, and new payment rails are evolving in the U.S. and globally, and what that means for technology and finance professionals. It will conclude with a session on how volunteering within the IEEE Blockchain Technical Community creates opportunities to build leadership, grow networks across industry and academia, and contribute to impactful work in the blockchain ecosystem. Speaker(s): Marc Lijour, Revanth Airre, Virtual: https://events.vtools.ieee.org/m/521039

We are live hosting an IEEE CTSoc (Consumer Technology Society) event at the Advanced Engineering Building at the University of Nevada, Las Vegas. Please register to attend the event on-line. Abstract: This event is an interactive panel examining the impact and challenges of AI on consumer technology products, especially smart health devices and their ecosystems. The panel will feature corporate executives, as follows: - (https://www.linkedin.com/in/praveenraja9/), VP Digital Health, Samsung - (https://www.linkedin.com/in/migueladao/), CEO of Volersystems - (https://www.linkedin.com/in/adam-drobot-43a1412a/), Chairman of the Board, OpenTechWorks, Inc. - (https://www.linkedin.com/in/paolo-bonato-582890/), Director, Motion Analysis Lab, Spaulding Rehabilitation - (https://www.linkedin.com/in/michael-condry-79931a/), Former CTO, Intel Corporation (retired) - (https://www.linkedin.com/in/stuart-lipoff-173288/) (Moderator), President, IP Action Partners Virtual: https://events.vtools.ieee.org/m/522339

This is a hybrid in-person and online event. Pre-registration is required for either. The latter part of 20th century witnessed the rise of the compute utility made up of large-scale data centers housing densely-packed compute, storage and networking equipment. In the cyber age, data centers became modern day factories requiring megawatts of power for the information technology (IT) equipment, much like the process equipment in a factory of the machine age. Electrical energy supplied to the chips and systems in the data centers turned into multi-megawatts of heat energy which in turn required heat removal means. The active heat removal means also required power. While many innovative measures have been used for heat removal and energy management in data centers, there is a substantial gap in application of the fundamentals of engineering when compared to the approaches taken by the contributors of the 19th and early 20th century machine age. As an example, machine age contributors performed exergy (2nd law of thermodynamics) analysis and deemed it necessary to build a hydro-electric plant as part of the design of an Aluminum factory. Indeed, the majority of data centers today rely on the power infrastructure built by our predecessors. Given the inexorable trajectory of data centers strongly driven by AI, and associated demands on available energy, it is time we returned to such fundamentals, particularly given the environmental challenges. This talk will present a holistic approach that traces the energy flow from a power plant to a chip, and from the chip core to the cooling tower. Speaker(s): Chandrakant D. Patel, PE 925 Thompson Place, Sunnyvale, California, United States, 94085, Virtual: https://events.vtools.ieee.org/m/518438

Short-circuit current ratings (SCCR) and interrupting ratings form the backbone of electrical safety, coordination, and compliance in modern power systems. This presentation explores how UL 508A Supplement SB intersects with the National Electrical Code (NEC) to define the limits of what electrical equipment can safely withstand and interrupt under fault conditions. The presentation examines how UL product listings and component ratings interact with NEC Articles 409, 110.9, and 110.10, clarifying how available fault current, protective device selection, and equipment labeling all converge in practice. Real-world examples will illustrate how engineers can properly determine SCCR, verify interrupting ratings, and ensure that the overall system meets both code and product standard intent. Key Topics - Fundamentals of SCCR and interrupting ratings - Relationship between UL 508A Supplement SB and NEC Articles 409, 110.9, and 110.10 - Evaluating equipment for compliance and labeling accuracy - Case studies from industrial and institutional systems Speaker(s): Tyler Shewbert, Agenda: No-host social at 5:30pm Presentation at 6:00pm Dinner at 7:00pm Presentation continues at 7:45pm Adjourn by 8:30pm Zio Fraedo's, 611 Gregory Lane, Pleasant Hill, California, United States, 94523

SETI, or the Search for Extra-Terrestrial Intelligence, attempts to answer one of humanity’s oldest questions: Are we alone in the universe? While astronomers have devoted significant effort to finding exoplanets and trying to observe evidence of remote astro-biology, a parallel exploration involves observation of “technosignatures”, or radio signals that originate outside the solar system with characteristics suggesting an intelligent source. In many ways radio SETI is a special class of communications problem in the realm of electrical engineering, with aspects of game theory in the mix. Consider the challenges: the signal is unknown, and may be intentional (a beacon) or unintentional (involving navigation or communications). The transmit frequency is unknown. If a limited message is sent, the modulation will be unknown, and even if bits are produced, the message must be decoded. Energy or geometry may limit persistence, so only a small fraction of observations in any pointing direction will have a chance at detection. Without knowledge of the signal, matched filtering is not possible. Link budgets may force limits on the signal bandwidth (narrowband tones) or time duration (pulse trains). This talk will introduce the SETI problem and describe the scope of efforts underway in the radio SETI community. Search strategies to maximize detection rate will be described, and narrowband SETI algorithms will be introduced. In recent years, SETI search capabilities have vastly improved with the use of interferometric arrays covering GHz-class bandwidths, commensal observing, and the use of racks of GPU-enhanced servers, significantly raising the potential for new discoveries. Speaker(s): Kenneth, Ken Agenda: Presentation and lunch. Buffet or order from menu (included) depending upon the number of registrants. Fee for IEEE members is subsidized. Bldg: Golf course restaurant, not the pro shop, Beeb's Sports Bar and Grill, 915 Club House Drive, Livermore, California, United States

[]Hybrid Bonding has emerged as the technology of choice in the semiconductor industry for ultra-fine-pitch interconnection. With significant benefits for interconnect density and device performance, it will become widely adopted for a broad range of high-performance semiconductor devices in the years to come. The success of Hybrid Bonding technology for high-volume manufacturing depends critically on the process technology as well as materials and equipment. Design, performance characterization, thermal management and reliability are also important considerations to enable applications in various areas. Join us to learn about this expanding field, and discover how it will affect heterogeneous integration and system design. We expect registrations for our on-site program to be filled by the end of December; we apologize if you are not able to attend in person, but we encourage you to join us via WebEx. SEMI World Headquarters, 673 South Milpitas Blvd, Milpitas, California, United States, Virtual: https://events.vtools.ieee.org/m/495346

Battery Technologies & Advanced Characterization Methods Abstract: This event will showcase advancements in Battery Technologies & Advanced Characterization methods Speaker: Dr. Ahamed Irshad Associate Scientist SLAC-Stanford Battery Center SLAC National Accelerator Laboratory AGENDA: Thursday January 22, 2026 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar Please register on Eventbrite before 9:30 AM on Thursday January 22, 2026 $4 IEEE members $6 non IEEE members (discounts for unemployed and students ) See examplesAdd Co-sponsored by: 636940-Santa Clara Valley Section Chapter,EMB18 Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, EAG Labs, 810 Kifer Road, Sunnyvale, California, California, United States, 95051