Thursday 22 January 2026 at 8:00 AM EDT, 02:00 PM CEST  By Hadi Y. Kanaan (Ecole Supérieure d’Ingénieurs de Beyrouth & USJ, Lebanon) Joint webinar with IES Young Professionals Committee Register now using the link below: https://attendee.gotowebinar.com/register/3443162894936825948 Abstract: The rapid transition toward cleaner and more sustainable energy systems is transforming the way electricity is generated, distributed, and consumed. At the heart of this transformation lies advanced power electronics, enabling efficient energy conversion, flexible control, and intelligent management across modern power networks and electric transportation systems. This talk explores some of the latest advances in power electronic technologies that are shaping the smart grid, renewable energy integration, and electrification of mobility. Presenter's bio: Hadi Y. Kanaan (S’99-M’02-SM’06) received the diploma in electromechanical engineering from Saint-Joseph University of Beirut (USJ), the Ph.D. degree in electrical engineering from the Ecole de Technologie Supérieure (ETS), Montreal, Canada, and the Habilitation à Diriger des Recherches (HDR) from the Université de Cergy-Pontoise, Paris, France, in 1991, 2002 and 2009 respectively. He is currently a Full Professor and Head of the Doctoral School of Sciences, Engineering and Technology at USJ. His research interests concern modeling and control of switch-mode converters, high-power-factor rectifiers, power factor correction, active power ...

Wednesday 26 November 2025 at 8:00 PM JST, 12:00 PM CET By Emiko Uchiyama (Graduate School of Engineering, University of Tokyo, Japan) Extraordinary Women-in-IES Webinar Register now using the link below: https://attendee.gotowebinar.com/register/8791074202208782944 Abstract: Understanding humans from the robotics field is quite essential for assistive robotics, and potentially it brings new insights to human understandings compared to either conventional medical or psychological studies. In this talk, the speaker will introduce an example of modeling human cognitive/physical fall risk using the relationship between depth perception and foot maneuvers. Also, derived from the dataset construction method for the elderly, who are engaging both in a cohort study and in a precise engineering experiment, the speaker will introduce our approach reaches towards estimation of human subjectivity. Throughout the overviews of our current research project for fall prevention, the speaker will quickly introduce potential applications of the cognitive-physical modeling of humans from the robotics field. Presenter’s bio: Emiko Uchiyama is an assistant professor at the Graduate School of Engineering at the University of Tokyo. She got her B.S in Engineering, M.S in Mechano-Informatics, and Ph.D degrees from the University of Tokyo in 2014, 2016, 2019, each. She was a JSPS young researcher, a project assistant ...