Thursday 26 September 2025 at 8:00 AM EDT, 10:00 PM AEST, 02:00 PM CEST  By Houbing Herbert Song (SONG Lab, University of Maryland Baltimore County, Maryland, USA) Joint webinar with IES Young Professionals Committee Register now using the link below: https://attendee.gotowebinar.com/register/54851785895924309 Abstract: There are three waves of Artificial Intelligence. The first Wave of AI is Crafted Knowledge, which includes rule-based AI systems. The second wave of AI is Statistical Learning, which includes machines becoming intelligent by using statistical methods. The third wave of AI is contextual adaptation. In the third wave, instead of learning from data, intelligent machines will understand and perceive the world on its own, and learn by understanding the world and reason with it. Neuro-symbolic AI, which combines neural networks with symbolic representations, has emerged as a promising solution of the third wave of AI. In this talk, first Houbing Herbert Song will share his journey from counter-unmanned aircraft systems to explainable AI to neuro-symbolic AI. Then he will present the past, present, and future of neuro-symbolic AI. Prof. Song will also share his perspective on the emerging area of neuro-symbolic AI. Presenter's bio: Houbing Herbert Song (F’23) received the Ph.D. degree in electrical engineering from the University of Virginia, ...

Wednesday 17 September 2025 at 3:00 PM CET, 9:00 AM EDT By Joao Martins (Department of Electrical and Computer Engineering, NOVA School of Sciences and Technology, Universidade Nova de Lisboa, Portugal) Register now using the link below: https://attendee.gotowebinar.com/register/1207443436533003614 Abstract: The increasing frequency and severity of extreme weather events, due to climate change, poses significant challenges to the resilience of power grids globally. Ensuring the reliability and robustness of these critical infrastructures has become a paramount concern for utility operators, policymakers and stakeholders. Multifaceted strategies are necessary to enhance the resilience of power grids against extreme weather phenomena, such as hurricanes, floods, heatwaves, and ice storms. Key approaches include the hardening of physical infrastructure, the integration of advanced grid technologies, the implementation of robust grid management practices, and the adoption of adaptive and proactive maintenance protocols. The deployment of distributed energy resources, the enhancement of microgrids and renewable energy systems, offers a great potential to increase localised power stability during centralised grid failures. Real data based impact forecast is a valuable tool in order to help Distribution System Operators better planning their long term investments in order to increase power grids resilience. Presenter’s bio: Prof. Martins received his MsC in 1996 and ...