YP Ambassador
Nitin Parsa
Young Professional Ambassador
Nitin Parsa
Term 2026-2027
Ford Motor Company
Dearborn, MI
NIAMAT HUSSAIN (Senior Member, IEEE) is a Lecturer (Assistant Professor) in the Electronics and Nanoscale Engineering Division at the James Watt School of Engineering, UniversityofGlasgow, Scotland, UK. His research Interests include applied electromagnetics, reconfigurable and multifunctional antenna systems, energy-autonomous wireless power transfer, metasurfaces, and bio-electromagnetics, including SAR reduction and electromagnetic exposure analysis. Dr. Niamat has demonstrated exceptional promise in the field of applied electromagnetics, endorsed by the Royal Academy of Engineering (UK). He serves as an Associate Editor for the IEEE Internet of Things Journal and an Editorial Board Member for Scientific Reports (NaturePortfolio), and guest editors in several journals including IET, Microwaves, Antennas and Propagation and contributes as a reviewer and grant assessor for major international funding agencies. He has received multiple distinctions, including the Outstanding Graduate Researcher Award, the Excellent Researcher Hall of Fame Award, and recognition among the world’s top 2% scientists by Stanford University for the last five consecutive years.
Talk: EMF exposure in Electrified vehicles
Abstract:
Electric vehicles contain several low-frequency electromagnetic field (EMF) sources that can influence occupant exposure and operation of implantable devices. This presentation summarizes a generalized framework for evaluating EMF environments in modern electric vehicles using simulations. The talk is divided into two parts. In the first part a brief overview of existing EMF guidelines for exposure safety and operation of implantable devices are discussed. In the second part representative examples such as seat-heater systems and high-voltage battery packs are used to demonstrate EMF in modern electric vehicles. These examples are used to highlight broader methodological principles including source identification, field quantification, and design-informed mitigation.