Parisa Sarikhani

Parisa Sarikhani is a Research Fellow in the Department of Electrical and Computer Engineering at the Georgia Institute of Technology. Her research focuses on developing intelligent closed-loop neuromodulation systems using artificial intelligence (AI) and computational methods to address neurological and cardiovascular disorders. She explores the integration of AI, biomedical engineering, and control systems to optimize therapies for conditions like Parkinson’s disease, essential tremor, and spinal cord injuries.

Her work emphasizes safety and efficacy in neurostimulation techniques, including transcutaneous spinal cord stimulation, vagus nerve stimulation, and deep brain stimulation. Recent studies highlight automated programming frameworks, adaptive control systems, and the use of wearables for real-time patient monitoring. She also investigates cross-domain optimization strategies and software-defined platforms to enhance medical device interoperability.

Key contributions include the Neuroweaver platform for closed-loop neuromodulation design and the CONTROL-CORE framework for peripheral neuromodulation simulation. Her research bridges computational modeling with clinical applications, aiming to advance precision medicine and personalized therapies.

Parisa’s publications span AI-driven medical devices, safety-constrained stimulation protocols, and interdisciplinary systems engineering. While no scientific awards are explicitly listed, her work reflects sustained innovation in neurotechnology and closed-loop control systems.