Aida Ebrahimi

Aida Ebrahimi is an Associate Professor at the School of Electrical Engineering and Computer Science at Pennsylvania State University. Her research focuses on developing innovative analytical systems for biomedical and environmental monitoring, emphasizing low-cost, accurate, and user-friendly platforms through a convergent approach spanning material engineering, device physics, and data analytics.

• Cross-disciplinary expertise in electrical engineering, electrochemistry, and microbiology
• Research themes: graphene nanotechnology, biosensors, machine learning integration

Her recent work highlights advancements in laser-induced graphene (LIG) sensors, including attomolar-level SARS-CoV-2 detection, real-time biofilm monitoring, and machine learning-enhanced neurotransmitter screening. Notable awards include the NSF CAREER Award and recognition as a Materials Research Institute Roy Award Winner. She leads collaborative projects on the gut-brain axis and has secured significant funding, including a $1.5M NSF grant for AI-designed biosensor development.