معرفی
Sonal Shreya is a Tenure Track Assistant Professor at the Department of Electrical and Computer Engineering, Aarhus University, within the Faculty of Engineering. Her research focuses on spintronics, neuromorphic engineering, and energy-efficient computing architectures. She explores applications in magnetic memory technologies, spintronic devices, and reservoir computing systems.
Her work emphasizes developing novel circuits for in-memory computing, leveraging spintronic components like magnetic tunnel junctions (MTJs), STT-RAM, and spin-torque nano-oscillators. Key areas include energy-efficient data encryption, low-power pattern recognition, and multi-state memristor-based neuromorphic systems. She also investigates design thinking applications in engineering innovation, such as Tesla technology advancements.
Recent studies highlight contributions to skyrmion dynamics for racetrack memory, vortex-based security solutions (PUF/TRNG), and thermal-induced memristor behaviors. Her publications span from 2014 to 2025, demonstrating a progression toward advanced spintronic applications in computing and sensing.
Dr. Shreya collaborates on compact device modeling for circuit simulations and explores granular materials for reservoir computing. Her research bridges fundamental spintronics physics with practical applications in low-power electronics and hardware security.
