This is a planning meeting for the Lehigh Valley WIE Affinity Group. Interested Lehigh Valley Section WIE members or prospective members are welcome to attend. Virtual: https://events.vtools.ieee.org/m/384019

Abstract: What is intelligence / artificial intelligence? What is knowledge and where does it come from? Where are we and how did we get there in AI? What is the interest of the USAF/USSF in AI? What are the current best practices to ensure ethical employment of AI enabled Autonomy? How will AI impact humanity over the next several decades? What is consciousness and is there a path to sentient computers? Why would we want to create sentient computers? Speaker(s): , Dr. Rogers Room: 222, Bldg: Kennedy Union Building, University of Dayton, Dayton, Ohio, United States, Virtual: https://events.vtools.ieee.org/m/387832

Abstract: What is intelligence / artificial intelligence? What is knowledge and where does it come from? Where are we and how did we get there in AI? What is the interest of the USAF/USSF in AI? What are the current best practices to ensure ethical employment of AI enabled Autonomy? How will AI impact humanity over the next several decades? What is consciousness and is there a path to sentient computers? Why would we want to create sentient computers? Speaker(s): , Dr. Rogers Room: 222, Bldg: Kennedy Union Building, University of Dayton, Dayton, Ohio, United States, Virtual: https://events.vtools.ieee.org/m/387832

IEEE Region 2 Mini-Sync: - Region Director Pass-down - Region Director-Elect Information Session - Region Vitality Coordinator (Annual Vitality Program Elements) - Topic of the Month: TBD Virtual: https://events.vtools.ieee.org/m/345263

The global landscape has been reshaped by the recent COVID-19 pandemic, underscoring the critical importance of pandemic preparedness and effective modeling. This talk will delve into the essential steps required to enhance our predictive models and overall readiness for future pandemics. We will explore the lessons learned from the COVID-19 crisis, emphasizing the need to act now in order to mitigate future threats. Topics covered include data-driven modeling approaches, real-time surveillance, and collaborative efforts in research and response. Join us in this discussion to discover how we can better equip ourselves to face the challenges of the next pandemic! Speaker(s): Jing Huang Virtual: https://events.vtools.ieee.org/m/382553

With the rapid development of Internet of Things, a vast number of small, low-cost, and low-power mobile electronic devices, such as radio frequency identification tags and wireless sensors, will become integral parts of our society. Supplying electrical power to these devices wirelessly would eliminate/relieve their battery life limitation. Since wireless power delivery must be dedicated to the designated receivers in space, it is inevitable to employ one narrow electromagnetic beam as the carrier of wireless power toward each mobile device. The retro-reflective beamforming technique has excellent potential to accomplish efficient wireless power transmission in the context of Internet of Things and can track multiple mobile devices, generating wireless power to the devices accordingly. The primary merit of retro-reflective beamforming technique is that wireless power transmission is augmented by radar tracking. Specifically, wireless power transmission is initiated by pilot signals broadcasted from wireless power receiver(s); and in response to the pilot signals, a wireless power transmitter delivers directional microwave power beams to the receiver(s). Results collected in our research demonstrate that the retro-reflective beamforming scheme enables microwave power beams to follow the location of mobile wireless power receiver(s) dynamically when the receiver(s) broadcast pilot signals periodically. Speaker(s): Dr. Mingyu Lu Room: Library, Bldg: Leonard C. Nelson College of Engineering and Sciences, 512 South Kanawha Street, Beckley, West Virginia, United States, WV 25801, Virtual: https://events.vtools.ieee.org/m/387479

IEEE PES Columbus Chapter along with Central Indiana Chapter is excited to have PES Distinguished Lecturer - Professor Antonio Conejo from OSU, an IEEE Fellow, an INFORMS Fellow, and an AAAS Fellow, to give us a seminar (and webinar) on power distribution system resilience. The seminar will be held at AEP Transmission headquarter building (8600 Smiths Mill Road, New Albany, OH 43054) and online thru Teams. Free food and beverages will be provided to in-person attendees. 1 PDH will be available. Abstract: Pursuing overall resilience enhancement of a power distribution system, we discuss a coordinating framework that involves cooperation between the supplying utility and proactive consumers. Such framework enables identifying solutions that are optimal for both the leading partner – the electric utility – and proactive consumers. Resilience improvements include installing batteries and/or distributed energy resources, involving electric vehicles, and undergrounding distribution lines. The proposed framework can be helpful to distribution planners, who can use it to optimally coordinate resilience investments by the electric utility and proactive consumers. Speaker(s): Prof. Conejo, Agenda: 3:50 pm: attendees are welcome to enter the meeting room 4:00-5:00 pm: presentation 5:00-5:15 pm: Q&A Room: Conference Center C, Bldg: AEP Transmission Headquarter Building, 8600 Smiths Mill Road, New Albany, Ohio, United States, Virtual: https://events.vtools.ieee.org/m/383848

Hello, please join us online with guest ComSoc Distinguished Lecturer, Dr. Ender Ayanoglu on Saturday Dec 9, 2023, commencing at 1:30 PM. Dr. Ayanoglu will present “Machine Learning in NextG Networks via Generative Adversarial Networks.” Speaker(s): Dr. Ender Ayanoglu Agenda: 1:30 PM - 1:40 PM Welcoming & Speaker Introduction 1:40 PM - 2:20 PM Presentation 2:20 PM - 2:30 PM Presentation Questions and Answers 2:30 PM - 2:35 PM Closing Remarks Virtual: https://events.vtools.ieee.org/m/388924

Hello, please join us online with guest ComSoc Distinguished Lecturer, Dr. Ender Ayanoglu on Saturday Dec 9, 2023, commencing at 1:30 PM. Dr. Ayanoglu will present “Machine Learning in NextG Networks via Generative Adversarial Networks.” Speaker(s): Dr. Ender Ayanoglu , Agenda: 1:30 PM - 1:40 PM Welcoming & Speaker Introduction 1:40 PM - 2:20 PM Presentation 2:20 PM - 2:30 PM Presentation Questions and Answers 2:30 PM - 2:35 PM Closing Remarks Virtual: https://events.vtools.ieee.org/m/384682