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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260617T120000
DTEND;TZID=America/New_York:20260617T133000
DTSTAMP:20260617T053925
CREATED:20260605T144405Z
LAST-MODIFIED:20260616T152709Z
UID:10000581-1781697600-1781703000@www.ieeer6.org
SUMMARY:Rewiring the Grid: Achieving Maximum Capacity with Next Generation of Advanced Conductors
DESCRIPTION:The Joint Northern Virginia/Washington PES Chapter is pleased to host Usama Ahmed and Jimmy Ianni of TS Conductor Corp.\, to speak on the topic of Aluminum Encapsulated Carbon Core (AECC) conductors\, an advanced technology in high voltage transmission designed to enhance performance\, efficiency\, and reliability of overhead power lines. We invite you all to join us online on June 17\, 2026\, from 12:00pm to 1:30pm EST. Registration required. The event is free to attend.\n[]\nSpeaker(s): Usama\, Jimmy\nVirtual: https://events.vtools.ieee.org/m/561617
URL:https://www.ieeer6.org/event/rewiring-the-grid-achieving-maximum-capacity-with-next-generation-of-advanced-conductors/
LOCATION:Virtual: https://events.vtools.ieee.org/m/561617
CATEGORIES:Local Events
ATTACH;FMTTYPE=image/jpeg:https://www.ieeer6.org/wp-content/uploads/ieee-region-6-event-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260617T140000
DTEND;TZID=America/New_York:20260617T150000
DTSTAMP:20260617T053925
CREATED:20260314T170518Z
LAST-MODIFIED:20260617T035705Z
UID:10000306-1781704800-1781708400@www.ieeer6.org
SUMMARY:IEEE-USA Livestream Webinar: Introduction to Startup Accelerators
DESCRIPTION:Turn an early idea into something real and fundable. In this session\, Troy Vosseller from gener8tor\, one of the most respected startup accelerators\, breaks down how founders move from a concept to a reputable company. You’ll hear what helps inventors gain traction\, build a business that can grow\, and get in front of investors when it counts.\nSpeaker(s): Troy Vosseller\nAgenda:\nIEEE-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.\nFor information regarding upcoming webinars or to visit our vast webinar archive\, please visit: (https://ieeeusa.org/careers/webinars/)\n(https://newsletter.smartbrief.com/rest/sign-up/2479DAB0-4089-43E7-925D-86AE0C1E6244?campaign=e0d52cef)\nVirtual: https://events.vtools.ieee.org/m/547729
URL:https://www.ieeer6.org/event/ieee-usa-livestream-webinar-introduction-to-startup-accelerators/
LOCATION:Virtual: https://events.vtools.ieee.org/m/547729
CATEGORIES:Local Events,R6 Events
ATTACH;FMTTYPE=image/jpeg:https://www.ieeer6.org/wp-content/uploads/ieee-region-6-event-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Lisbon:20260617T163000
DTEND;TZID=Europe/Lisbon:20260617T173000
DTSTAMP:20260617T053925
CREATED:20260611T152723Z
LAST-MODIFIED:20260616T152709Z
UID:10000602-1781713800-1781717400@www.ieeer6.org
SUMMARY:IEEE Distinguished Lecture: E2E Slice Lifecycle Management for Telco-Cloud Ecosystems
DESCRIPTION:The IEEE Student Branch Chapter Communications and Vehicular Technology Societies of the University of Aveiro invites students\, researchers\, IEEE members\, and professionals to a hybrid technical seminar with Professor Augusto Venâncio Neto on end-to-end slice lifecycle management for Telco-Cloud ecosystems.\nThe event will take place in person at the University of Aveiro\, Portugal\, and will also be available online for members and guests of the IEEE Seattle Section Joint Chapter\, participating as our twin chapter. Organized in collaboration with the IEEE Communications Society Portugal Chapter and with the participation of the IEEE Seattle Section Joint Chapter\, this session creates a transatlantic forum for discussing current challenges in network slicing\, orchestration\, 5G/6G\, Open RAN\, NFV/SDN\, and distributed cloud-edge infrastructures.\nTaking place during Professor Neto’s visit to Europe\, the session will include a 45-minute technical presentation followed by a 15-minute Q&A with the local and remote IEEE communities. This will be an opportunity to connect student members\, chapter officers\, researchers\, and practitioners around emerging approaches for automated lifecycle management in future communication networks.\nRegistration is mandatory for all in-person participants so that the organization can properly plan logistics and prepare the coffee break following the talk. Participants who intend to attend on-site are kindly asked to register in advance and update their registration if their availability changes\n(https://www.it.pt/)	(https://webinabox.vtools.ieee.org/wibp_home/index/CH08445)	(https://vtsociety.org/chapter/portugal-section-chapter)	(https://ieee-seattle.org/chapters/)	(https://ieee-sbc-comsoc-vts-ua.andreclerigo.com/)\nCo-sponsored by: Instituto de Telecomunicações\nSpeaker(s): Augusto Neto\nRoom:  Amphitheatre\, Bldg: 19\, Instituto de Telecomunicações \, Campus Universitário de Santiago \, Aveiro\, Centro\, Portugal\, 3810-193 \, Virtual: https://events.vtools.ieee.org/m/563156
URL:https://www.ieeer6.org/event/ieee-distinguished-lecture-e2e-slice-lifecycle-management-for-telco-cloud-ecosystems/
LOCATION:Room:  Amphitheatre\, Bldg: 19\, Instituto de Telecomunicações \, Campus Universitário de Santiago \, Aveiro\, Centro\, Portugal\, 3810-193 \, Virtual: https://events.vtools.ieee.org/m/563156
CATEGORIES:Local Events
ATTACH;FMTTYPE=image/jpeg:https://www.ieeer6.org/wp-content/uploads/ieee-region-6-event-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=US/Pacific:20260617T173000
DTEND;TZID=US/Pacific:20260617T200000
DTSTAMP:20260617T053925
CREATED:20260608T145713Z
LAST-MODIFIED:20260616T152709Z
UID:10000586-1781717400-1781726400@www.ieeer6.org
SUMMARY:2026 Monthly San Diego IEEE EXCOM - June Meeting
DESCRIPTION:SDIEEE EXCOM Meeting\nExecutive Committee meeting to discuss all San Diego IEEE activities. All IEEE members welcome to attend. Please RSVP.\n– 5:30 pm – 6:00 pm\, Networking and food!\n– 6:00 pm – 8:00 pm\, meeting (in person and/or remote)\n– Meeting Adjourned\nTo add to the agenda\, please email upalmahbub@yahoo.com.\nAgenda:\n– Meeting Start (Call to order)\n– Approve prior meeting minutes (Minutes to be approved will be in the media section of this vTools event)\n– Student branch reporting\n– Officer Reporting\n– Discussion Topics\n– Mid-year Vitality Check\n– Summer Picnic Arrangement Committee Formation\n– Election Committee Formation\n– Meeting Adjourned\nRoom: Training\, Bldg: ATEC\, 10401 Roselle St\, San Diego\, California\, United States\, 92121\, Virtual: https://events.vtools.ieee.org/m/562779
URL:https://www.ieeer6.org/event/2026-monthly-san-diego-ieee-excom-june-meeting/
LOCATION:Room: Training\, Bldg: ATEC\, 10401 Roselle St\, San Diego\, California\, United States\, 92121\, Virtual: https://events.vtools.ieee.org/m/562779
CATEGORIES:Local Events
ATTACH;FMTTYPE=image/jpeg:https://www.ieeer6.org/wp-content/uploads/ieee-region-6-event-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260617T183000
DTEND;TZID=America/Los_Angeles:20260617T200000
DTSTAMP:20260617T053925
CREATED:20260427T195459Z
LAST-MODIFIED:20260430T212712Z
UID:10000474-1781721000-1781726400@www.ieeer6.org
SUMMARY:AI in Magnetism: Impact\, Challenges and Risks
DESCRIPTION:Talk by Dr. Peter Fischer of Lawrence Berkeley National Laboratory on how artificial intelligence is transforming magnetism research. The discussion covers AI fundamentals\, data requirements\, and key challenges.\nFor full event details: (https://scvmag.org/event/ai-in-magnetism-impact-challenges-and-risks/)\nQuadrant Corp.\, 1120 Ringwood Ct.\, San Jose\, California\, United States\, 95131\, Virtual: https://events.vtools.ieee.org/m/557434
URL:https://www.ieeer6.org/event/ai-in-magnetism-impact-challenges-and-risks/
LOCATION:Quadrant Corp.\, 1120 Ringwood Ct.\, San Jose\, California\, United States\, 95131\, Virtual: https://events.vtools.ieee.org/m/557434
CATEGORIES:Local Events
ATTACH;FMTTYPE=image/jpeg:https://www.ieeer6.org/wp-content/uploads/ieee-region-6-event-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260617T190000
DTEND;TZID=America/Los_Angeles:20260617T200000
DTSTAMP:20260617T053925
CREATED:20260610T151406Z
LAST-MODIFIED:20260616T152709Z
UID:10000600-1781722800-1781726400@www.ieeer6.org
SUMMARY:Tech Talk: GPU-Free Real-Time Utility Asset Anomaly Detection
DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):\nSpeaker: Lakshmana Rao Koppada ((https://www.google.com/url?q=https://www.linkedin.com/in/lakshmana-koppada/&sa=D&source=calendar&ust=1781490549069271&usg=AOvVaw11bsPeQi6ednCxDVhnMelu))\nTitle: GPU-Free Real-Time Utility Asset Anomaly Detection with IBM Granite TSPulse-R1\nAbstract: Utility enterprises operate geographically distributed critical assets—such as pumps\, tanks\, flow meters\, and substations that demand continuous health monitoring to avert service disruptions\, environmental hazards\, and substantial economic losses. Conventional centralized cloud-based Enterprise Asset Management systems incur high latency\, excessive bandwidth consumption\, and reliance on GPU acceleration\, thereby impeding real-time response in connectivity-constrained environments. This paper introduces a GPU-free edge-to-cloud architecture for real-time anomaly detection that exploits the compact IBM Granite TSPulse-R1 time-series foundation model (approximately 1 million parameters). The framework executes lightweight CPU-only inference on edge gateways and transmits only concise anomaly summaries via Message Queuing Telemetry Transport (MQTT)\, realizing over 99.9% bandwidth reduction relative to raw data transfer. A novel sensor-weighted reconstruction error scoring mechanism prioritizes the most discriminative sensors\, enhancing zero-shot multivariate detection performance. Rigorous evaluation on the Water Treatment dataset\, a real-world industrial control system benchmark featuring 51 sensors and a 12.53% anomalous timestep ratio\, demonstrates an average inference latency of 710.3 ms per 512-timestep chunk\, a ROC-AUC of 0.717\, and tolerance-adjusted recall exceeding 0.945 at ±20 timesteps. Scalability analysis reveals near-linear latency growth with increasing sensor counts and chunk sizes\, confirming feasibility on resource-constrained edge devices. The proposed architecture delivers a scalable\, cost-effective\, and resilient predictive maintenance solution for critical infrastructure\, providing a practical GPU-independent alternative to traditional cloud-centric paradigms while supporting robust operation in distributed utility networks.\nBio: Lakshmana Rao Koppada (IETE Fellow\, Senior Member IEEE\, Professional Member of BCS) is a Digital Transformation Leader and Technical Architect at PwC with over 16 years of experience delivering large-scale enterprise modernization programs. Specializing in IBM Maximo\, cloud platforms\, and Red Hat OpenShift\, he integrates AI/ML\, IoT\, and predictive analytics to improve asset reliability and operational efficiency. He has led global digital transformation initiatives for Fortune 500 organizations across utilities\, pharmaceuticals\, manufacturing\, energy\, and data center industries. A published researcher and certified IBM Maximo/MAS architect\, he actively contributes to international technology conferences and innovation initiatives in AI-driven enterprise systems.\nSpeaker(s): Ram Sekhar Bodala\nVirtual: https://events.vtools.ieee.org/m/563073
URL:https://www.ieeer6.org/event/tech-talk-gpu-free-real-time-utility-asset-anomaly-detection/
LOCATION:Virtual: https://events.vtools.ieee.org/m/563073
CATEGORIES:Local Events
ATTACH;FMTTYPE=image/jpeg:https://www.ieeer6.org/wp-content/uploads/ieee-region-6-event-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260617T190000
DTEND;TZID=America/Los_Angeles:20260617T200000
DTSTAMP:20260617T053925
CREATED:20260610T151407Z
LAST-MODIFIED:20260610T151407Z
UID:10000601-1781722800-1781726400@www.ieeer6.org
SUMMARY:Tech Talk: GPU-Free Real-Time Utility Asset Anomaly Detection
DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):\nSpeaker: Lakshmana Rao Koppada ((https://www.google.com/url?q=https://www.linkedin.com/in/lakshmana-koppada/&sa=D&source=calendar&ust=1781490549069271&usg=AOvVaw11bsPeQi6ednCxDVhnMelu))\nTitle: GPU-Free Real-Time Utility Asset Anomaly Detection with IBM Granite TSPulse-R1\nAbstract: Utility enterprises operate geographically distributed critical assets—such as pumps\, tanks\, flow meters\, and substations that demand continuous health monitoring to avert service disruptions\, environmental hazards\, and substantial economic losses. Conventional centralized cloud-based Enterprise Asset Management systems incur high latency\, excessive bandwidth consumption\, and reliance on GPU acceleration\, thereby impeding real-time response in connectivity-constrained environments. This paper introduces a GPU-free edge-to-cloud architecture for real-time anomaly detection that exploits the compact IBM Granite TSPulse-R1 time-series foundation model (approximately 1 million parameters). The framework executes lightweight CPU-only inference on edge gateways and transmits only concise anomaly summaries via Message Queuing Telemetry Transport (MQTT)\, realizing over 99.9% bandwidth reduction relative to raw data transfer. A novel sensor-weighted reconstruction error scoring mechanism prioritizes the most discriminative sensors\, enhancing zero-shot multivariate detection performance. Rigorous evaluation on the Water Treatment dataset\, a real-world industrial control system benchmark featuring 51 sensors and a 12.53% anomalous timestep ratio\, demonstrates an average inference latency of 710.3 ms per 512-timestep chunk\, a ROC-AUC of 0.717\, and tolerance-adjusted recall exceeding 0.945 at ±20 timesteps. Scalability analysis reveals near-linear latency growth with increasing sensor counts and chunk sizes\, confirming feasibility on resource-constrained edge devices. The proposed architecture delivers a scalable\, cost-effective\, and resilient predictive maintenance solution for critical infrastructure\, providing a practical GPU-independent alternative to traditional cloud-centric paradigms while supporting robust operation in distributed utility networks.\nBio: Lakshmana Rao Koppada (IETE Fellow\, Senior Member IEEE\, Professional Member of BCS) is a Digital Transformation Leader and Technical Architect at PwC with over 16 years of experience delivering large-scale enterprise modernization programs. Specializing in IBM Maximo\, cloud platforms\, and Red Hat OpenShift\, he integrates AI/ML\, IoT\, and predictive analytics to improve asset reliability and operational efficiency. He has led global digital transformation initiatives for Fortune 500 organizations across utilities\, pharmaceuticals\, manufacturing\, energy\, and data center industries. A published researcher and certified IBM Maximo/MAS architect\, he actively contributes to international technology conferences and innovation initiatives in AI-driven enterprise systems.\nSpeaker(s): Ram Sekhar Bodala\nVirtual: https://events.vtools.ieee.org/m/563073
URL:https://www.ieeer6.org/event/tech-talk-gpu-free-real-time-utility-asset-anomaly-detection-2/
LOCATION:Virtual: https://events.vtools.ieee.org/m/563073
CATEGORIES:Local Events
END:VEVENT
END:VCALENDAR