Register to our upcoming webinars!

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 ...

Thursday 27 November 2025 at 6:30 PM IST, 2:00 PM CET, 8:00 AM EDT By Kalpana R (Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka (NITK), Mangalore, India) Register now using the link below: https://attendee.gotowebinar.com/register/7773976468498286171 Abstract: Lithium-ion batteries play a vital role in renewable energy systems and electric vehicles, offering a reliable and efficient means of storing energy. However, these batteries are sensitive to operating conditions, and factors such as overcharging, deep discharging, and extreme temperatures can accelerate their degradation. To mitigate these effects and ensure optimal performance, a sophisticated battery management system (BMS) is essential. The primary function of a BMS is to monitor critical parameters like voltage, current, and temperature, protecting the battery from damage and estimating its state of charge (SoC) and state of health (SoH). An accurate online coulomb counting method is crucial for estimating the SoH of lithium-ion cells, particularly in battery-integrated electric vehicles. Knowing the SoH in advance enhances system reliability and enables proactive maintenance. Mathematical modeling of lithium iron phosphate (LFP) batteries is also vital for understanding their runtime characteristics and aging behavior. By accounting for the impact of operating temperature and depth of discharge on battery aging, these models ...